Q3 2026 · Asia-Pacific
Space Tech Startups in Asia-Pacific to Watch, Q3 2026
3 space tech startups based in Asia-Pacific ranked by GitHub engineering acceleration. Filtered from our broader Space Tech sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | mx-space 混合空间 Mix Space View signal profile → | Series A/B | APAC | 130 | +141% | 27 | +0% | 0 | Framework migration |
| 2 | ut-issl 東京大学 航空宇宙工学専攻 船瀬・五十里研究室の公開リポジトリ View signal profile → | Pre-seed | APAC | 54 | -10% | 4 | +74% | 3 | Deceleration |
| 3 | 7-Blocks We Make Software That Solves Pain Points View signal profile → | Series A/B | APAC | 27 | -59% | 33 | +400% | 0 | Deceleration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.
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Frequently Asked Questions
Which space tech startups in Asia-Pacific are showing the strongest engineering signals in Q3 2026?
In Q3 2026, mx-space leads space tech startups in Asia-Pacific with 130 commits over a 14-day window (+141% change) and 27 active contributors. Across all 3 tracked Asia-Pacific-based startups in this sector, the average 14-day commit velocity is 70 commits. The dominant signal pattern is "Deceleration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
How does the Asia-Pacific space tech startup ecosystem compare to other regions?
Asia-Pacific accounts for 3 of the space tech startups in our tracking dataset for Q3 2026. This geographic view filters the broader sector rankings to help investors focused on Asia-Pacific-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.
How is startup geography determined in these rankings?
We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (Asia-Pacific, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.