Question: Where are the most active edtech engineering teams located?

Answer: Among the 43 edtech startups we track, US accounts for the highest concentration with 8 teams. Startups transforming education through adaptive learning and institutional software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are edtech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 39 edtech startups with measurable GitHub engineering signals. 21 of 39 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 21 of the tracked companies. The average 14-day commit velocity across the sector is 61 commits, with tutors-sdk leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which edtech startup has the highest engineering acceleration in Q1 2026?

Answer: tutors-sdk leads the edtech sector in Q1 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 21 active contributors, tutors-sdk is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active edtech engineering teams located?

Answer: Among the 39 edtech startups we track, US accounts for the highest concentration with 7 teams. Startups transforming education through adaptive learning and institutional software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are edtech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 40 edtech startups with measurable GitHub engineering signals. 21 of 40 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 24 of the tracked companies. The average 14-day commit velocity across the sector is 42 commits, with tutors-sdk leading at 26 commits (+2500% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which edtech startup has the highest engineering acceleration in Q4 2025?

Answer: tutors-sdk leads the edtech sector in Q4 2025 with 26 commits over a 14-day window, representing a +2500% change from the prior period. With 21 active contributors, tutors-sdk is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active edtech engineering teams located?

Answer: Among the 40 edtech startups we track, EU accounts for the highest concentration with 8 teams. Startups transforming education through adaptive learning and institutional software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are edtech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 21 edtech startups with measurable GitHub engineering signals. 11 of 21 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 14 of the tracked companies. The average 14-day commit velocity across the sector is 78 commits, with pedal-edu leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which edtech startup has the highest engineering acceleration in Q3 2025?

Answer: pedal-edu leads the edtech sector in Q3 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 6 active contributors, pedal-edu is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active edtech engineering teams located?

Answer: Among the 21 edtech startups we track, EU accounts for the highest concentration with 6 teams. Startups transforming education through adaptive learning and institutional software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are e-commerce infrastructure startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 26 e-commerce infrastructure startups with measurable GitHub engineering signals. 9 of 26 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 15 of the tracked companies. The average 14-day commit velocity across the sector is 32 commits, with swellstores leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which e-commerce infrastructure startup has the highest engineering acceleration in Q3 2026?

Answer: swellstores leads the e-commerce infrastructure sector in Q3 2026 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 29 active contributors and 2 new repositories, swellstores is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active e-commerce infrastructure engineering teams located?

Answer: Among the 26 e-commerce infrastructure startups we track, EU accounts for the highest concentration with 6 teams. Startups building backend systems and APIs for online retail. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are e-commerce infrastructure startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 28 e-commerce infrastructure startups with measurable GitHub engineering signals. 13 of 28 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 14 of the tracked companies. The average 14-day commit velocity across the sector is 42 commits, with bic-org leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which e-commerce infrastructure startup has the highest engineering acceleration in Q2 2026?

Answer: bic-org leads the e-commerce infrastructure sector in Q2 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, bic-org is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active e-commerce infrastructure engineering teams located?

Answer: Among the 28 e-commerce infrastructure startups we track, EU accounts for the highest concentration with 6 teams. Startups building backend systems and APIs for online retail. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are e-commerce infrastructure startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 23 e-commerce infrastructure startups with measurable GitHub engineering signals. 14 of 23 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 13 of the tracked companies. The average 14-day commit velocity across the sector is 35 commits, with ecomplus leading at 3 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which e-commerce infrastructure startup has the highest engineering acceleration in Q1 2026?

Answer: ecomplus leads the e-commerce infrastructure sector in Q1 2026 with 3 commits over a 14-day window, representing a +999% change from the prior period. With 10 active contributors, ecomplus is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active e-commerce infrastructure engineering teams located?

Answer: Among the 23 e-commerce infrastructure startups we track, EU accounts for the highest concentration with 3 teams. Startups building backend systems and APIs for online retail. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are e-commerce infrastructure startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 21 e-commerce infrastructure startups with measurable GitHub engineering signals. 8 of 21 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 13 of the tracked companies. The average 14-day commit velocity across the sector is 24 commits, with ecomplus leading at 3 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which e-commerce infrastructure startup has the highest engineering acceleration in Q4 2025?

Answer: ecomplus leads the e-commerce infrastructure sector in Q4 2025 with 3 commits over a 14-day window, representing a +999% change from the prior period. With 10 active contributors, ecomplus is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active e-commerce infrastructure engineering teams located?

Answer: Among the 21 e-commerce infrastructure startups we track, EU accounts for the highest concentration with 5 teams. Startups building backend systems and APIs for online retail. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are e-commerce infrastructure startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 11 e-commerce infrastructure startups with measurable GitHub engineering signals. 8 of 11 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 6 of the tracked companies. The average 14-day commit velocity across the sector is 23 commits, with ecomplus leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which e-commerce infrastructure startup has the highest engineering acceleration in Q3 2025?

Answer: ecomplus leads the e-commerce infrastructure sector in Q3 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 6 active contributors, ecomplus is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active e-commerce infrastructure engineering teams located?

Answer: Among the 11 e-commerce infrastructure startups we track, EU accounts for the highest concentration with 2 teams. Startups building backend systems and APIs for online retail. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are supply chain startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 24 supply chain startups with measurable GitHub engineering signals. 10 of 24 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 10 of the tracked companies. The average 14-day commit velocity across the sector is 15 commits, with fleetbase leading at 17 commits (+1600% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which supply chain startup has the highest engineering acceleration in Q3 2026?

Answer: fleetbase leads the supply chain sector in Q3 2026 with 17 commits over a 14-day window, representing a +1600% change from the prior period. With 7 active contributors and 1 new repositories, fleetbase is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active supply chain engineering teams located?

Answer: Among the 24 supply chain startups we track, EU accounts for the highest concentration with 7 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are supply chain startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 23 supply chain startups with measurable GitHub engineering signals. 8 of 23 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 13 of the tracked companies. The average 14-day commit velocity across the sector is 36 commits, with pyck-ai leading at 10 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which supply chain startup has the highest engineering acceleration in Q2 2026?

Answer: pyck-ai leads the supply chain sector in Q2 2026 with 10 commits over a 14-day window, representing a +999% change from the prior period. With 4 active contributors, pyck-ai is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active supply chain engineering teams located?

Answer: Among the 23 supply chain startups we track, EU accounts for the highest concentration with 6 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are supply chain startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 22 supply chain startups with measurable GitHub engineering signals. 13 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 10 of the tracked companies. The average 14-day commit velocity across the sector is 32 commits, with opensourcepos leading at 52 commits (+5100% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which supply chain startup has the highest engineering acceleration in Q1 2026?

Answer: opensourcepos leads the supply chain sector in Q1 2026 with 52 commits over a 14-day window, representing a +5100% change from the prior period. With 100 active contributors, opensourcepos is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active supply chain engineering teams located?

Answer: Among the 22 supply chain startups we track, EU accounts for the highest concentration with 6 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are supply chain startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 21 supply chain startups with measurable GitHub engineering signals. 12 of 21 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 18 commits, with OCSInventory-NG leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which supply chain startup has the highest engineering acceleration in Q4 2025?

Answer: OCSInventory-NG leads the supply chain sector in Q4 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 71 active contributors, OCSInventory-NG is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active supply chain engineering teams located?

Answer: Among the 21 supply chain startups we track, EU accounts for the highest concentration with 7 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are supply chain startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 10 supply chain startups with measurable GitHub engineering signals. 6 of 10 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 7 of the tracked companies. The average 14-day commit velocity across the sector is 46 commits, with Grashjs leading at 21 commits (+950% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which supply chain startup has the highest engineering acceleration in Q3 2025?

Answer: Grashjs leads the supply chain sector in Q3 2025 with 21 commits over a 14-day window, representing a +950% change from the prior period. With 11 active contributors, Grashjs is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active supply chain engineering teams located?

Answer: Among the 10 supply chain startups we track, EU accounts for the highest concentration with 3 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are web3 startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 42 web3 startups with measurable GitHub engineering signals. 13 of 42 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 24 of the tracked companies. The average 14-day commit velocity across the sector is 24 commits, with hyperledger-labs leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which web3 startup has the highest engineering acceleration in Q3 2026?

Answer: hyperledger-labs leads the web3 sector in Q3 2026 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 15 active contributors, hyperledger-labs is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active web3 engineering teams located?

Answer: Among the 42 web3 startups we track, EU accounts for the highest concentration with 4 teams. Startups building decentralized applications and blockchain infrastructure. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are web3 startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 53 web3 startups with measurable GitHub engineering signals. 22 of 53 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 37 of the tracked companies. The average 14-day commit velocity across the sector is 48 commits, with StrobeLabs leading at 18 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which web3 startup has the highest engineering acceleration in Q2 2026?

Answer: StrobeLabs leads the web3 sector in Q2 2026 with 18 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, StrobeLabs is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active web3 engineering teams located?

Answer: Among the 53 web3 startups we track, EU accounts for the highest concentration with 6 teams. Startups building decentralized applications and blockchain infrastructure. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are web3 startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 54 web3 startups with measurable GitHub engineering signals. 32 of 54 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 29 of the tracked companies. The average 14-day commit velocity across the sector is 57 commits, with immutable leading at 5 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which web3 startup has the highest engineering acceleration in Q1 2026?

Answer: immutable leads the web3 sector in Q1 2026 with 5 commits over a 14-day window, representing a +999% change from the prior period. With 84 active contributors, immutable is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active web3 engineering teams located?

Answer: Among the 54 web3 startups we track, EU accounts for the highest concentration with 6 teams. Startups building decentralized applications and blockchain infrastructure. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are web3 startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 50 web3 startups with measurable GitHub engineering signals. 33 of 50 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 30 of the tracked companies. The average 14-day commit velocity across the sector is 59 commits, with baizhiheizi leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which web3 startup has the highest engineering acceleration in Q4 2025?

Answer: baizhiheizi leads the web3 sector in Q4 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 8 active contributors, baizhiheizi is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active web3 engineering teams located?

Answer: Among the 50 web3 startups we track, EU accounts for the highest concentration with 4 teams. Startups building decentralized applications and blockchain infrastructure. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are web3 startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 29 web3 startups with measurable GitHub engineering signals. 16 of 29 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 23 of the tracked companies. The average 14-day commit velocity across the sector is 53 commits, with OpenZeppelin leading at 3 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which web3 startup has the highest engineering acceleration in Q3 2025?

Answer: OpenZeppelin leads the web3 sector in Q3 2025 with 3 commits over a 14-day window, representing a +999% change from the prior period. With 8 active contributors and 2 new repositories, OpenZeppelin is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active web3 engineering teams located?

Answer: Among the 29 web3 startups we track, EU accounts for the highest concentration with 4 teams. Startups building decentralized applications and blockchain infrastructure. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are enterprise saas startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 31 enterprise saas startups with measurable GitHub engineering signals. 10 of 31 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 17 of the tracked companies. The average 14-day commit velocity across the sector is 25 commits, with polarsource leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which enterprise saas startup has the highest engineering acceleration in Q3 2026?

Answer: polarsource leads the enterprise saas sector in Q3 2026 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 13 active contributors, polarsource is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active enterprise saas engineering teams located?

Answer: Among the 31 enterprise saas startups we track, US accounts for the highest concentration with 8 teams. Startups building vertical and horizontal B2B software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are enterprise saas startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 34 enterprise saas startups with measurable GitHub engineering signals. 14 of 34 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 21 of the tracked companies. The average 14-day commit velocity across the sector is 50 commits, with Synapsr leading at 47 commits (+1467% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which enterprise saas startup has the highest engineering acceleration in Q2 2026?

Answer: Synapsr leads the enterprise saas sector in Q2 2026 with 47 commits over a 14-day window, representing a +1467% change from the prior period. With 4 active contributors, Synapsr is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active enterprise saas engineering teams located?

Answer: Among the 34 enterprise saas startups we track, US accounts for the highest concentration with 8 teams. Startups building vertical and horizontal B2B software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are enterprise saas startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 29 enterprise saas startups with measurable GitHub engineering signals. 19 of 29 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 17 of the tracked companies. The average 14-day commit velocity across the sector is 52 commits, with polarsource leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which enterprise saas startup has the highest engineering acceleration in Q1 2026?

Answer: polarsource leads the enterprise saas sector in Q1 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 13 active contributors, polarsource is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active enterprise saas engineering teams located?

Answer: Among the 29 enterprise saas startups we track, US accounts for the highest concentration with 7 teams. Startups building vertical and horizontal B2B software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are enterprise saas startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 27 enterprise saas startups with measurable GitHub engineering signals. 15 of 27 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 18 of the tracked companies. The average 14-day commit velocity across the sector is 57 commits, with polarsource leading at 12 commits (+500% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which enterprise saas startup has the highest engineering acceleration in Q4 2025?

Answer: polarsource leads the enterprise saas sector in Q4 2025 with 12 commits over a 14-day window, representing a +500% change from the prior period. With 13 active contributors, polarsource is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active enterprise saas engineering teams located?

Answer: Among the 27 enterprise saas startups we track, US accounts for the highest concentration with 6 teams. Startups building vertical and horizontal B2B software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are enterprise saas startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 10 enterprise saas startups with measurable GitHub engineering signals. 5 of 10 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 104 commits, with polarsource leading at 151 commits (+260% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which enterprise saas startup has the highest engineering acceleration in Q3 2025?

Answer: polarsource leads the enterprise saas sector in Q3 2025 with 151 commits over a 14-day window, representing a +260% change from the prior period. With 100 active contributors, polarsource is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active enterprise saas engineering teams located?

Answer: Among the 10 enterprise saas startups we track, US accounts for the highest concentration with 4 teams. Startups building vertical and horizontal B2B software. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are data infrastructure startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 35 data infrastructure startups with measurable GitHub engineering signals. 11 of 35 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 19 of the tracked companies. The average 14-day commit velocity across the sector is 105 commits, with mloda-ai leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which data infrastructure startup has the highest engineering acceleration in Q3 2026?

Answer: mloda-ai leads the data infrastructure sector in Q3 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, mloda-ai is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active data infrastructure engineering teams located?

Answer: Among the 35 data infrastructure startups we track, US accounts for the highest concentration with 10 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are data infrastructure startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 37 data infrastructure startups with measurable GitHub engineering signals. 15 of 37 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 22 of the tracked companies. The average 14-day commit velocity across the sector is 141 commits, with rocky-data leading at 267 commits (+26600% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which data infrastructure startup has the highest engineering acceleration in Q2 2026?

Answer: rocky-data leads the data infrastructure sector in Q2 2026 with 267 commits over a 14-day window, representing a +26600% change from the prior period. With 9 active contributors, rocky-data is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active data infrastructure engineering teams located?

Answer: Among the 37 data infrastructure startups we track, US accounts for the highest concentration with 11 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are data infrastructure startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 32 data infrastructure startups with measurable GitHub engineering signals. 24 of 32 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 15 of the tracked companies. The average 14-day commit velocity across the sector is 106 commits, with odpi leading at 3 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which data infrastructure startup has the highest engineering acceleration in Q1 2026?

Answer: odpi leads the data infrastructure sector in Q1 2026 with 3 commits over a 14-day window, representing a +999% change from the prior period. With 30 active contributors, odpi is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active data infrastructure engineering teams located?

Answer: Among the 32 data infrastructure startups we track, US accounts for the highest concentration with 9 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are data infrastructure startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 32 data infrastructure startups with measurable GitHub engineering signals. 19 of 32 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 17 of the tracked companies. The average 14-day commit velocity across the sector is 107 commits, with MTSWebServices leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which data infrastructure startup has the highest engineering acceleration in Q4 2025?

Answer: MTSWebServices leads the data infrastructure sector in Q4 2025 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, MTSWebServices is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active data infrastructure engineering teams located?

Answer: Among the 32 data infrastructure startups we track, US accounts for the highest concentration with 10 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are data infrastructure startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 11 data infrastructure startups with measurable GitHub engineering signals. 5 of 11 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 434 commits, with cilium leading at 229 commits (+30% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which data infrastructure startup has the highest engineering acceleration in Q3 2025?

Answer: cilium leads the data infrastructure sector in Q3 2025 with 229 commits over a 14-day window, representing a +30% change from the prior period. With 100 active contributors and 1 new repositories, cilium is showing a "Framework migration" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active data infrastructure engineering teams located?

Answer: Among the 11 data infrastructure startups we track, US accounts for the highest concentration with 6 teams. Startups building pipelines, warehouses, and observability platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are robotics startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 28 robotics startups with measurable GitHub engineering signals. 11 of 28 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 14 of the tracked companies. The average 14-day commit velocity across the sector is 58 commits, with eclipse-zenoh leading at 7 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which robotics startup has the highest engineering acceleration in Q3 2026?

Answer: eclipse-zenoh leads the robotics sector in Q3 2026 with 7 commits over a 14-day window, representing a +999% change from the prior period. With 44 active contributors, eclipse-zenoh is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active robotics engineering teams located?

Answer: Among the 28 robotics startups we track, US accounts for the highest concentration with 6 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are robotics startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 26 robotics startups with measurable GitHub engineering signals. 11 of 26 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 16 of the tracked companies. The average 14-day commit velocity across the sector is 88 commits, with verl-project leading at 14 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which robotics startup has the highest engineering acceleration in Q2 2026?

Answer: verl-project leads the robotics sector in Q2 2026 with 14 commits over a 14-day window, representing a +999% change from the prior period. With 4 active contributors and 1 new repositories, verl-project is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active robotics engineering teams located?

Answer: Among the 26 robotics startups we track, US accounts for the highest concentration with 7 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are robotics startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 22 robotics startups with measurable GitHub engineering signals. 16 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 10 of the tracked companies. The average 14-day commit velocity across the sector is 63 commits, with Flexxbotics leading at 36 commits (+1100% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which robotics startup has the highest engineering acceleration in Q1 2026?

Answer: Flexxbotics leads the robotics sector in Q1 2026 with 36 commits over a 14-day window, representing a +1100% change from the prior period. With 4 active contributors, Flexxbotics is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active robotics engineering teams located?

Answer: Among the 22 robotics startups we track, US accounts for the highest concentration with 6 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are robotics startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 22 robotics startups with measurable GitHub engineering signals. 9 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 45 commits, with reductstore leading at 6 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which robotics startup has the highest engineering acceleration in Q4 2025?

Answer: reductstore leads the robotics sector in Q4 2025 with 6 commits over a 14-day window, representing a +999% change from the prior period. With 7 active contributors and 1 new repositories, reductstore is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active robotics engineering teams located?

Answer: Among the 22 robotics startups we track, US accounts for the highest concentration with 6 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are robotics startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 7 robotics startups with measurable GitHub engineering signals. 6 of 7 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 6 of the tracked companies. The average 14-day commit velocity across the sector is 115 commits, with zapplyjobs leading at 13 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which robotics startup has the highest engineering acceleration in Q3 2025?

Answer: zapplyjobs leads the robotics sector in Q3 2025 with 13 commits over a 14-day window, representing a +999% change from the prior period. With 7 active contributors, zapplyjobs is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active robotics engineering teams located?

Answer: Among the 7 robotics startups we track, US accounts for the highest concentration with 2 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are legal tech startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 22 legal tech startups with measurable GitHub engineering signals. 10 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 14 of the tracked companies. The average 14-day commit velocity across the sector is 44 commits, with Association-DataRing leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which legal tech startup has the highest engineering acceleration in Q3 2026?

Answer: Association-DataRing leads the legal tech sector in Q3 2026 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, Association-DataRing is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active legal tech engineering teams located?

Answer: Among the 22 legal tech startups we track, EU accounts for the highest concentration with 2 teams. Startups automating legal workflows and compliance management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are legal tech startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 22 legal tech startups with measurable GitHub engineering signals. 10 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 12 of the tracked companies. The average 14-day commit velocity across the sector is 67 commits, with openlegaldata leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which legal tech startup has the highest engineering acceleration in Q2 2026?

Answer: openlegaldata leads the legal tech sector in Q2 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 15 active contributors, openlegaldata is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active legal tech engineering teams located?

Answer: Among the 22 legal tech startups we track, US accounts for the highest concentration with 3 teams. Startups automating legal workflows and compliance management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are legal tech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 15 legal tech startups with measurable GitHub engineering signals. 9 of 15 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 116 commits, with pylegifrance leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which legal tech startup has the highest engineering acceleration in Q1 2026?

Answer: pylegifrance leads the legal tech sector in Q1 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 6 active contributors, pylegifrance is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active legal tech engineering teams located?

Answer: Among the 15 legal tech startups we track, US accounts for the highest concentration with 2 teams. Startups automating legal workflows and compliance management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are legal tech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 15 legal tech startups with measurable GitHub engineering signals. 5 of 15 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 90 commits, with openlegaldata leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which legal tech startup has the highest engineering acceleration in Q4 2025?

Answer: openlegaldata leads the legal tech sector in Q4 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 15 active contributors, openlegaldata is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active legal tech engineering teams located?

Answer: Among the 15 legal tech startups we track, EU accounts for the highest concentration with 2 teams. Startups automating legal workflows and compliance management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are legal tech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 3 legal tech startups with measurable GitHub engineering signals. 2 of 3 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 3 of the tracked companies. The average 14-day commit velocity across the sector is 112 commits, with wazuh leading at 315 commits (+35% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which legal tech startup has the highest engineering acceleration in Q3 2025?

Answer: wazuh leads the legal tech sector in Q3 2025 with 315 commits over a 14-day window, representing a +35% change from the prior period. With 100 active contributors, wazuh is showing a "Framework migration" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active legal tech engineering teams located?

Answer: Among the 3 legal tech startups we track, US accounts for the highest concentration with 2 teams. Startups automating legal workflows and compliance management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are hr tech startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 17 hr tech startups with measurable GitHub engineering signals. 9 of 17 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 14 commits, with minthcm leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which hr tech startup has the highest engineering acceleration in Q3 2026?

Answer: minthcm leads the hr tech sector in Q3 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 7 active contributors, minthcm is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active hr tech engineering teams located?

Answer: Among the 17 hr tech startups we track, US accounts for the highest concentration with 5 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are hr tech startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 18 hr tech startups with measurable GitHub engineering signals. 9 of 18 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 8 of the tracked companies. The average 14-day commit velocity across the sector is 84 commits, with wp-erp leading at 9 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which hr tech startup has the highest engineering acceleration in Q2 2026?

Answer: wp-erp leads the hr tech sector in Q2 2026 with 9 commits over a 14-day window, representing a +999% change from the prior period. With 59 active contributors, wp-erp is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active hr tech engineering teams located?

Answer: Among the 18 hr tech startups we track, US accounts for the highest concentration with 5 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are hr tech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 13 hr tech startups with measurable GitHub engineering signals. 5 of 13 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 37 commits, with minthcm leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which hr tech startup has the highest engineering acceleration in Q1 2026?

Answer: minthcm leads the hr tech sector in Q1 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 7 active contributors, minthcm is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active hr tech engineering teams located?

Answer: Among the 13 hr tech startups we track, US accounts for the highest concentration with 4 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are hr tech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 15 hr tech startups with measurable GitHub engineering signals. 12 of 15 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 7 of the tracked companies. The average 14-day commit velocity across the sector is 29 commits, with wp-erp leading at 6 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which hr tech startup has the highest engineering acceleration in Q4 2025?

Answer: wp-erp leads the hr tech sector in Q4 2025 with 6 commits over a 14-day window, representing a +999% change from the prior period. With 59 active contributors, wp-erp is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active hr tech engineering teams located?

Answer: Among the 15 hr tech startups we track, US accounts for the highest concentration with 5 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are hr tech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 3 hr tech startups with measurable GitHub engineering signals. 2 of 3 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 1 of the tracked companies. The average 14-day commit velocity across the sector is 90 commits, with zapplyjobs leading at 87 commits (+1143% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which hr tech startup has the highest engineering acceleration in Q3 2025?

Answer: zapplyjobs leads the hr tech sector in Q3 2025 with 87 commits over a 14-day window, representing a +1143% change from the prior period. With 8 active contributors, zapplyjobs is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active hr tech engineering teams located?

Answer: Among the 3 hr tech startups we track, US accounts for the highest concentration with 3 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are proptech startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 23 proptech startups with measurable GitHub engineering signals. 9 of 23 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 12 of the tracked companies. The average 14-day commit velocity across the sector is 46 commits, with liberusoftware leading at 135 commits (+3275% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which proptech startup has the highest engineering acceleration in Q3 2026?

Answer: liberusoftware leads the proptech sector in Q3 2026 with 135 commits over a 14-day window, representing a +3275% change from the prior period. With 14 active contributors and 27 new repositories, liberusoftware is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active proptech engineering teams located?

Answer: Among the 23 proptech startups we track, US accounts for the highest concentration with 3 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are proptech startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 19 proptech startups with measurable GitHub engineering signals. 11 of 19 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 13 of the tracked companies. The average 14-day commit velocity across the sector is 53 commits, with ahacker-1 leading at 17 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which proptech startup has the highest engineering acceleration in Q2 2026?

Answer: ahacker-1 leads the proptech sector in Q2 2026 with 17 commits over a 14-day window, representing a +999% change from the prior period. With 3 active contributors, ahacker-1 is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active proptech engineering teams located?

Answer: Among the 19 proptech startups we track, EU accounts for the highest concentration with 2 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are proptech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 16 proptech startups with measurable GitHub engineering signals. 9 of 16 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 10 of the tracked companies. The average 14-day commit velocity across the sector is 67 commits, with WillowInc leading at 6 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which proptech startup has the highest engineering acceleration in Q1 2026?

Answer: WillowInc leads the proptech sector in Q1 2026 with 6 commits over a 14-day window, representing a +999% change from the prior period. With 14 active contributors, WillowInc is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active proptech engineering teams located?

Answer: Among the 16 proptech startups we track, APAC accounts for the highest concentration with 2 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are proptech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 15 proptech startups with measurable GitHub engineering signals. 10 of 15 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 22 commits, with WillowInc leading at 6 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which proptech startup has the highest engineering acceleration in Q4 2025?

Answer: WillowInc leads the proptech sector in Q4 2025 with 6 commits over a 14-day window, representing a +999% change from the prior period. With 14 active contributors, WillowInc is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active proptech engineering teams located?

Answer: Among the 15 proptech startups we track, APAC accounts for the highest concentration with 2 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are proptech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 1 proptech startups with measurable GitHub engineering signals. 1 of 1 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 1 of the tracked companies. The average 14-day commit velocity across the sector is 59 commits, with open-condo-software leading at 59 commits (+2% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which proptech startup has the highest engineering acceleration in Q3 2025?

Answer: open-condo-software leads the proptech sector in Q3 2025 with 59 commits over a 14-day window, representing a +2% change from the prior period. With 51 active contributors, open-condo-software is showing a "Framework migration" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active proptech engineering teams located?

Answer: Among the 1 proptech startups we track, LATAM accounts for the highest concentration with 1 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are agtech startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 16 agtech startups with measurable GitHub engineering signals. 8 of 16 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 7 of the tracked companies. The average 14-day commit velocity across the sector is 29 commits, with ARPA-SIMC leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which agtech startup has the highest engineering acceleration in Q3 2026?

Answer: ARPA-SIMC leads the agtech sector in Q3 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 5 active contributors, ARPA-SIMC is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active agtech engineering teams located?

Answer: Among the 16 agtech startups we track, APAC accounts for the highest concentration with 2 teams. Startups applying technology to agriculture and precision farming. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are agtech startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 16 agtech startups with measurable GitHub engineering signals. 8 of 16 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 8 of the tracked companies. The average 14-day commit velocity across the sector is 40 commits, with AgMIP-GGCMI leading at 4 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which agtech startup has the highest engineering acceleration in Q2 2026?

Answer: AgMIP-GGCMI leads the agtech sector in Q2 2026 with 4 commits over a 14-day window, representing a +999% change from the prior period. With 4 active contributors, AgMIP-GGCMI is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active agtech engineering teams located?

Answer: Among the 16 agtech startups we track, Canada accounts for the highest concentration with 2 teams. Startups applying technology to agriculture and precision farming. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are agtech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 18 agtech startups with measurable GitHub engineering signals. 13 of 18 show positive commit velocity growth. The most common signal type is "Deploy frequency spike", observed in 8 of the tracked companies. The average 14-day commit velocity across the sector is 33 commits, with Realistic-Farming leading at 77 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which agtech startup has the highest engineering acceleration in Q1 2026?

Answer: Realistic-Farming leads the agtech sector in Q1 2026 with 77 commits over a 14-day window, representing a +999% change from the prior period. With 6 active contributors and 4 new repositories, Realistic-Farming is showing a "Infrastructure buildout" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active agtech engineering teams located?

Answer: Among the 18 agtech startups we track, EU accounts for the highest concentration with 3 teams. Startups applying technology to agriculture and precision farming. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are agtech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 13 agtech startups with measurable GitHub engineering signals. 7 of 13 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 9 of the tracked companies. The average 14-day commit velocity across the sector is 37 commits, with FoodOntology leading at 10 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which agtech startup has the highest engineering acceleration in Q4 2025?

Answer: FoodOntology leads the agtech sector in Q4 2025 with 10 commits over a 14-day window, representing a +999% change from the prior period. With 12 active contributors, FoodOntology is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active agtech engineering teams located?

Answer: Among the 13 agtech startups we track, EU accounts for the highest concentration with 2 teams. Startups applying technology to agriculture and precision farming. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are agtech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 3 agtech startups with measurable GitHub engineering signals. 1 of 3 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 3 of the tracked companies. The average 14-day commit velocity across the sector is 39 commits, with betagouv leading at 10 commits (+100% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which agtech startup has the highest engineering acceleration in Q3 2025?

Answer: betagouv leads the agtech sector in Q3 2025 with 10 commits over a 14-day window, representing a +100% change from the prior period. With 100 active contributors and 1 new repositories, betagouv is showing a "Framework migration" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active agtech engineering teams located?

Answer: Among the 3 agtech startups we track, Canada accounts for the highest concentration with 1 teams. Startups applying technology to agriculture and precision farming. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are gaming startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 39 gaming startups with measurable GitHub engineering signals. 17 of 39 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 18 of the tracked companies. The average 14-day commit velocity across the sector is 48 commits, with untrustedmodders leading at 30 commits (+2900% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which gaming startup has the highest engineering acceleration in Q3 2026?

Answer: untrustedmodders leads the gaming sector in Q3 2026 with 30 commits over a 14-day window, representing a +2900% change from the prior period. With 7 active contributors, untrustedmodders is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active gaming engineering teams located?

Answer: Among the 39 gaming startups we track, US accounts for the highest concentration with 8 teams. Startups building game engines, multiplayer infrastructure, and gaming analytics. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are gaming startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 41 gaming startups with measurable GitHub engineering signals. 22 of 41 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 17 of the tracked companies. The average 14-day commit velocity across the sector is 59 commits, with Mountea-Framework leading at 35 commits (+3400% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which gaming startup has the highest engineering acceleration in Q2 2026?

Answer: Mountea-Framework leads the gaming sector in Q2 2026 with 35 commits over a 14-day window, representing a +3400% change from the prior period. With 4 active contributors, Mountea-Framework is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active gaming engineering teams located?

Answer: Among the 41 gaming startups we track, US accounts for the highest concentration with 8 teams. Startups building game engines, multiplayer infrastructure, and gaming analytics. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are gaming startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 39 gaming startups with measurable GitHub engineering signals. 22 of 39 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 22 of the tracked companies. The average 14-day commit velocity across the sector is 47 commits, with ryzom leading at 163 commits (+8050% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which gaming startup has the highest engineering acceleration in Q1 2026?

Answer: ryzom leads the gaming sector in Q1 2026 with 163 commits over a 14-day window, representing a +8050% change from the prior period. With 30 active contributors, ryzom is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active gaming engineering teams located?

Answer: Among the 39 gaming startups we track, US accounts for the highest concentration with 7 teams. Startups building game engines, multiplayer infrastructure, and gaming analytics. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are gaming startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 37 gaming startups with measurable GitHub engineering signals. 18 of 37 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 20 of the tracked companies. The average 14-day commit velocity across the sector is 35 commits, with chickensoft-games leading at 6 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which gaming startup has the highest engineering acceleration in Q4 2025?

Answer: chickensoft-games leads the gaming sector in Q4 2025 with 6 commits over a 14-day window, representing a +999% change from the prior period. With 4 active contributors, chickensoft-games is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active gaming engineering teams located?

Answer: Among the 37 gaming startups we track, US accounts for the highest concentration with 8 teams. Startups building game engines, multiplayer infrastructure, and gaming analytics. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are gaming startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 7 gaming startups with measurable GitHub engineering signals. 4 of 7 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 5 of the tracked companies. The average 14-day commit velocity across the sector is 34 commits, with NBlood leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which gaming startup has the highest engineering acceleration in Q3 2025?

Answer: NBlood leads the gaming sector in Q3 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 45 active contributors, NBlood is showing a "Engineering hiring burst" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active gaming engineering teams located?

Answer: Among the 7 gaming startups we track, US accounts for the highest concentration with 1 teams. Startups building game engines, multiplayer infrastructure, and gaming analytics. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are space tech startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 23 space tech startups with measurable GitHub engineering signals. 14 of 23 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 34 commits, with ossimlabs leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which space tech startup has the highest engineering acceleration in Q3 2026?

Answer: ossimlabs leads the space tech sector in Q3 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 34 active contributors, ossimlabs is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active space tech engineering teams located?

Answer: Among the 23 space tech startups we track, APAC accounts for the highest concentration with 3 teams. Startups building launch vehicles, satellites, and space data platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are space tech startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 23 space tech startups with measurable GitHub engineering signals. 9 of 23 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 17 of the tracked companies. The average 14-day commit velocity across the sector is 35 commits, with iff-gsc leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which space tech startup has the highest engineering acceleration in Q2 2026?

Answer: iff-gsc leads the space tech sector in Q2 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 5 active contributors, iff-gsc is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active space tech engineering teams located?

Answer: Among the 23 space tech startups we track, US accounts for the highest concentration with 3 teams. Startups building launch vehicles, satellites, and space data platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are space tech startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 18 space tech startups with measurable GitHub engineering signals. 8 of 18 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 12 of the tracked companies. The average 14-day commit velocity across the sector is 42 commits, with orbitalindex leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which space tech startup has the highest engineering acceleration in Q1 2026?

Answer: orbitalindex leads the space tech sector in Q1 2026 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 64 active contributors, orbitalindex is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active space tech engineering teams located?

Answer: Among the 18 space tech startups we track, US accounts for the highest concentration with 3 teams. Startups building launch vehicles, satellites, and space data platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are space tech startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 19 space tech startups with measurable GitHub engineering signals. 8 of 19 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 13 of the tracked companies. The average 14-day commit velocity across the sector is 32 commits, with CCSDSPy leading at 1 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which space tech startup has the highest engineering acceleration in Q4 2025?

Answer: CCSDSPy leads the space tech sector in Q4 2025 with 1 commits over a 14-day window, representing a +999% change from the prior period. With 11 active contributors, CCSDSPy is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active space tech engineering teams located?

Answer: Among the 19 space tech startups we track, US accounts for the highest concentration with 3 teams. Startups building launch vehicles, satellites, and space data platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are space tech startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 4 space tech startups with measurable GitHub engineering signals. 3 of 4 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 4 of the tracked companies. The average 14-day commit velocity across the sector is 104 commits, with orbiternassp leading at 35 commits (+106% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which space tech startup has the highest engineering acceleration in Q3 2025?

Answer: orbiternassp leads the space tech sector in Q3 2025 with 35 commits over a 14-day window, representing a +106% change from the prior period. With 37 active contributors, orbiternassp is showing a "Framework migration" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active space tech engineering teams located?

Answer: Among the 4 space tech startups we track, US accounts for the highest concentration with 1 teams. Startups building launch vehicles, satellites, and space data platforms. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are social & community startups showing in Q3 2026?

Answer: In Q3 2026, we are tracking 22 social & community startups with measurable GitHub engineering signals. 12 of 22 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 66 commits, with GetStream leading at 7 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which social & community startup has the highest engineering acceleration in Q3 2026?

Answer: GetStream leads the social & community sector in Q3 2026 with 7 commits over a 14-day window, representing a +999% change from the prior period. With 86 active contributors and 2 new repositories, GetStream is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active social & community engineering teams located?

Answer: Among the 22 social & community startups we track, APAC accounts for the highest concentration with 2 teams. Startups building social networks, community platforms, and creator tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are social & community startups showing in Q2 2026?

Answer: In Q2 2026, we are tracking 20 social & community startups with measurable GitHub engineering signals. 8 of 20 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 12 of the tracked companies. The average 14-day commit velocity across the sector is 94 commits, with HopHubProject leading at 35 commits (+1067% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which social & community startup has the highest engineering acceleration in Q2 2026?

Answer: HopHubProject leads the social & community sector in Q2 2026 with 35 commits over a 14-day window, representing a +1067% change from the prior period. With 5 active contributors, HopHubProject is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active social & community engineering teams located?

Answer: Among the 20 social & community startups we track, EU accounts for the highest concentration with 2 teams. Startups building social networks, community platforms, and creator tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are social & community startups showing in Q1 2026?

Answer: In Q1 2026, we are tracking 20 social & community startups with measurable GitHub engineering signals. 13 of 20 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 62 commits, with poziomki-app leading at 50 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which social & community startup has the highest engineering acceleration in Q1 2026?

Answer: poziomki-app leads the social & community sector in Q1 2026 with 50 commits over a 14-day window, representing a +999% change from the prior period. With 5 active contributors, poziomki-app is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active social & community engineering teams located?

Answer: Among the 20 social & community startups we track, EU accounts for the highest concentration with 3 teams. Startups building social networks, community platforms, and creator tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are social & community startups showing in Q4 2025?

Answer: In Q4 2025, we are tracking 18 social & community startups with measurable GitHub engineering signals. 14 of 18 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 11 of the tracked companies. The average 14-day commit velocity across the sector is 98 commits, with YunoHost-Apps leading at 24 commits (+1100% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which social & community startup has the highest engineering acceleration in Q4 2025?

Answer: YunoHost-Apps leads the social & community sector in Q4 2025 with 24 commits over a 14-day window, representing a +1100% change from the prior period. With 28 active contributors, YunoHost-Apps is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active social & community engineering teams located?

Answer: Among the 18 social & community startups we track, EU accounts for the highest concentration with 3 teams. Startups building social networks, community platforms, and creator tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What engineering signals are social & community startups showing in Q3 2025?

Answer: In Q3 2025, we are tracking 7 social & community startups with measurable GitHub engineering signals. 3 of 7 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 5 of the tracked companies. The average 14-day commit velocity across the sector is 84 commits, with cryptpad leading at 2 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.


Question: Which social & community startup has the highest engineering acceleration in Q3 2025?

Answer: cryptpad leads the social & community sector in Q3 2025 with 2 commits over a 14-day window, representing a +999% change from the prior period. With 67 active contributors, cryptpad is showing a "Deploy frequency spike" pattern, one of the more reliable leading indicators of a significant product milestone or fundraise.


Question: Where are the most active social & community engineering teams located?

Answer: Among the 7 social & community startups we track, EU accounts for the highest concentration with 2 teams. Startups building social networks, community platforms, and creator tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.


Question: What is the "Engineering Hiring Burst" signal?

Answer: Startups whose contributor growth rate exceeds 50%, indicating rapid team expansion, often following a recent funding round.


Question: What should investors look for in a "Engineering Hiring Burst" signal?

Answer: If you are seeing a hiring burst signal, you may be too late for the current round but well-positioned for the next one. The team expansion suggests the company has capital to deploy and is building toward a product milestone.


Question: What is the "Infrastructure Buildout" signal?

Answer: Startups that created 3+ new public repositories in 30 days, expanding their technical surface area with new microservices, SDKs, or platform components.


Question: What should investors look for in a "Infrastructure Buildout" signal?

Answer: Infrastructure buildout is classic Series A behavior: the core product works, and the team is building the platform around it. This pattern requires capital and reflects confidence in the product direction.


Question: What is the "Deploy Frequency Spike" signal?

Answer: Startups whose commit velocity increased 150%+ versus baseline, the team is shipping code at an unusually high rate.


Question: What should investors look for in a "Deploy Frequency Spike" signal?

Answer: Deploy frequency spikes indicate a product launch, rapid iteration on customer feedback, or a competitive response. All are potential indicators of product-market fit and interesting timing for investors.


Question: What is the "Framework Migration" signal?

Answer: Startups showing general engineering acceleration that indicates a technology stack transition, moving from prototype to production infrastructure.


Question: What should investors look for in a "Framework Migration" signal?

Answer: Framework migrations are the subtlest signal type but can indicate the shift from exploration to exploitation, a key milestone in startup development that often precedes fundraising.


Question: What is the "Deceleration" signal?

Answer: Startups whose 14-day commit velocity fell versus the prior window, a measurable slowdown that can mean a shipped milestone, a team transition, or a strategic pivot.


Question: What should investors look for in a "Deceleration" signal?

Answer: Deceleration is not automatically a red flag. A team that just shipped a major release often slows down to regroup. Read it alongside contributor growth and new repositories: falling velocity with stable or rising contributors usually means a finished push, while falling velocity and falling contributors together can flag turnover or a stalled roadmap.


Question: How is the Engineering Hiring Burst signal detected?

Answer: A startup is classified as an engineering hiring burst when its contributor growth rate exceeds 50% over the measurement window, a proxy for rapid team expansion, often following a recent funding round.


Question: What can falsely trigger a hiring burst signal?

Answer: The most common false positive is a wave of external open-source contributors landing on a popular public repo, which inflates contributor counts without any hiring. The methodology mitigates this by tracking contributor growth on the organization's most active repository and reading it alongside velocity and repo-creation signals rather than in isolation.


Question: Which funding stage does a hiring burst usually indicate?

Answer: A hiring burst most often appears at seed through Series A/B, where a team that has just raised capital expands engineering to build toward a product milestone. It is less common at pre-seed (teams are too small) and at growth stage (hiring is steadier and less of a spike).


Question: How does a hiring burst relate to fundraise timing?

Answer: If you are seeing a hiring burst, you may be too late for the current round but well-positioned for the next one. The team expansion suggests the company has capital to deploy and is building toward a product milestone, so the signal is strongest as a next-round or follow-on indicator rather than a current-round catch.


Question: How is a hiring burst different from the other acceleration signal types?

Answer: A hiring burst is the only signal driven primarily by people (contributor growth above 50%) rather than code volume or repo count. It is also the strongest single fundraise predictor of the acceleration types, because scaling headcount implies capital already committed. Deploy spikes and infrastructure buildouts are code-side; framework migration is a slower stack-transition signal.