Topical Series
Operator Notes
First-hand notes from running the dataset, building a longitudinal panel of 350++ startup GitHub orgs, MCP server lessons, and other operator-side observations.
Articles in this series (5)
The series runs 2026-04-19 through 2026-04-26, 5 posts so far, newest first below. The spread of publish dates is the cadence: the pillar is maintained, not a one-off essay collection.
Free Scout Score badges: shields.io for GitHub investing taste.
I shipped two free SVG badges for any GitHub README. One renders your live Scout Score (0-100) from your starring history. The other renders the live commit-momentum tier of any tracked repo. Same shields.io look as Codecov / WakaTime, auto-updates, no signup, no telemetry.
Every dev has invested in unicorns. They just don't know it.
I shipped Receipts at signals.gitdealflow.com/receipts. Paste your GitHub username, get a Scout Score from your starring history. The unicorns you starred before the news broke, Vercel at 200 stars, LangChain in week 2, OpenAI before the $157B round, are now worth points. Free, no login, no OAuth.
I made my VC deal flow callable by Claude this weekend. Here is what that actually means.
GitDealFlow now publishes a Google A2A AgentCard at /.well-known/agent-card.json and a JSON-RPC 2.0 endpoint at /api/a2a. Five free skills, no auth. Crunchbase API costs $20K per year. Ours costs nothing. Here is the curl that proves it.
I cut my MCP server from 8 tools to 5 and the hallucinations stopped
Three weeks of tool-count post-mortem on @gitdealflow/mcp-signal. Why REST endpoints aren't user intents, why two of my tool names were costing me selection accuracy, and the data on what changed.
I Tracked 350+ Startup GitHub Orgs for Six Months. Here's What Predicts a Series A.
Six months of public GitHub data across 350+ startup organizations. Which commit patterns actually predict a Series A round? Plus the public Q3 2026 watchlist - bookmark and verify.
How this pillar fits together
"Operator Notes" is one of 10 topical series on the site, and its scope is deliberately narrow: first-hand notes from running the dataset, building a longitudinal panel of 350++ startup github orgs, mcp server lessons, and other operator-side observations. The keyword set (GitHub dataset, operator notes, MCP server, VC dataset construction) marks the edges of that scope.
Each post in the grid above covers one slice of that scope, and together the 5 posts sequence from measurement (what the signals are) to workflow (what an investor does with them). Read them in publish order if you are new to the series; jump to the newest if you already run a sourcing stack.
The pillar interlocks with the dataset itself: every claim in the series cites the same weekly-recomputed methodology and the same machine-readable feeds, so the essays age as data updates rather than as opinions.
Get this week's top breakout startups
Top breakout engineering signals across all sectors, straight to your inbox. Free, no spam.
Get the ReportFive breakout startups, every Sunday, before the round gets crowded
The free Acceleration Watch: five venture-backed teams accelerating on the engineering signal, translated into plain English, 21 to 47 days before the deck circulates. No code-reading, no card.