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I built a tool that turns raw Git activity into AI summaries

1•slmslm•1mo ago
Like many devs, I got tired of bouncing between repos just to answer simple questions like:

What actually changed this week?

Which PRs are stuck?

What did we ship?

Who’s waiting on a review?

It sits on top of your GitHub/GitLab/Bitbucket repos and turns the noise into something readable.

The hardest part by far? Webhooks. Each provider sends totally different payloads:

different keys

different structures

missing fields

inconsistent naming

You end up spending more time normalizing than building features

We solved it by creating an internal unified event schema + a mapper for each provider. All normalized events get stored in MongoDB, which helps a lot because the flexible document model makes it painless to handle slightly different shapes of data without breaking anything.

Once we had that, the features came naturally Real-time commit & PR monitoring

AI agent trained on your repo activity

Automated weekly/monthly summaries (email or Slack)

Leaderboard with contribution scoring

Public changelog pages

Multi-platform support (GitHub/GitLab/Bitbucket)

Basically a unified activity layer for teams that move fast.

Why even build it? Git platforms give you raw data. Teams want context. Devs want fast answers. Managers want summaries, not dashboards.

Comments

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