This product was not featured by Product Hunt yet. It will not yet shown by default on their landing page.
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Telegram Excerpt
Turn 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 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?
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.
On the analytics side, Telegram Excerpt competes within Telegram, Open Source, Artificial Intelligence and GitHub — topics that collectively have 581k followers on Product Hunt. The dashboard above tracks how Telegram Excerpt performed against the three products that launched closest to it on the same day.
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.
For a complete overview of Telegram Excerpt including community comment highlights and product details, visit the product overview.
Oreste Acacia