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 asmd files. GCP free tier, any OpenAI-compatible API, 22 classification scenarios. Open source, MIT licensed, self-hosted—your data stays private.
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 automatically.
The classification prompt was the hardest part — it took 22 hand-crafted scenarios to get the LLM to reliably distinguish "the login endpoint is broken" from "lol who broke prod again" (with emoji, in Italian). The evaluation harness is included so you can tune it for your own team's communication style.
Would love feedback on the approach. What would you add?
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About Telegram Excerpt on Product Hunt
“Turn Telegram chatter into PRDs — automatically.”
Telegram Excerpt was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #400 on the daily leaderboard. 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 asmd files. GCP free tier, any OpenAI-compatible API, 22 classification scenarios. Open source, MIT licensed, self-hosted—your data stays private.
Telegram Excerpt was featured in Telegram (5.3k followers), Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 118.3k products, making this a competitive space to launch in.
Who hunted Telegram Excerpt?
Telegram Excerpt was hunted by Oreste Acacia. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Oreste Acacia