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Oreste Acacialeft a comment
Hey everyone! I built this because I manage multiple Telegram groups for engineering teams, and I was drowning in messages trying to figure out what actually needed action. The key insight: most group conversations are noise. But buried in there are real bug reports, feature proposals, and technical decisions that should become tickets. I needed something that could tell the difference...

Telegram ExcerptTurn Telegram chatter into PRDs — automatically.
Telegram-excerpt monitors group chats, detects actionable discussions via LLM, and auto-generates PRDs to your private chat. Bugs and feature requests no longer get lost in noise.
One bot per group → Firestore buffer → 3min silence triggers LLM classification → actionable threads become PRDs → delivered as .md files.
GCP free tier, any OpenAI-compatible API, 22 classification scenarios. Open source, MIT licensed, self-hosted—your data stays private.

Telegram ExcerptTurn Telegram chatter into PRDs — automatically.
