GitBot

Strong signal

Build bots on the coding agent you already use

Launched 11h ago

Signal

Velocity

What this means

2.1×Growing 2.1× faster than the typical AI Agents launch.

Compared to 18 AI Agents launches at the same age.

41%Mid-tier finish likely.

Projecting attention of 165 by end of day-1.

+30%Launching in a 30% WoW growing category.

Bots had 13 launches this week vs 10 last.

22Founder Conviction Index: 22 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability

41%

today

Projected end-of-day votes

165range 124–223

Trajectory

stable

Vote pace holding steady.

Speed vs peers

2.1×

18 AI Agents launches

About

GitBot turns a job you keep giving Claude Code, Codex or OpenCode into a bot. Write the instructions once, set what it may touch, and run it in any repo. Each run is a thread you can come back to. Install bots other devs made from the Library, or share yours with a code. ShipGuard, for example, reads your branch and says merge or block, with file and line evidence. Runs on your machine with the logins you already have. Open source. No account, no telemetry.

AI Summary

GitBot is an open-source tool that automates coding tasks by transforming instructions into bots that can operate within any GitHub repository. It allows users to install and share bots from a library, providing functionalities like merge validation with detailed evidence.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum21

Sustained over 6h

Virality0

Spread × engagement

Engagement11

Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.

105/8

Timeliness5%100

carried 7%

Trend20%36

carried 27%

Novelty15%12

carried 20%

Business15%6

carried 20%

Story20%0

carried 27%

Not measured · 3 of 8

Revenue10%—

Founder10%—

Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured

Full audit →

Signal sources

3 of 6 active

Launch tracking4 readings since we picked it up
AI analysisAI Agents
Comment intelligencethread not yet analysed
Outside discussionnot checked — domain is a storefront or shared
Revenue signalsno match on this domain
Editorial scoring23% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.