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Beever Atlas

Your team's chat → an actual wiki, automatically

Your friend recommended a Tokyo sushi spot in Telegram. You're flying there next week. Buried. Beever Atlas turns your chat history (Slack, Discord, Teams, Telegram) into a searchable, organized library — automatically. Like Google for everything you've ever discussed. AI assistants can read it directly. Free, open-source, runs on your laptop. Your data stays yours. Karpathy described this idea. We built it. github.com/Beever-AI/beever-atlas

Top comment

Hey PH 🦫

Origin story:

You know the feeling — your friend told you the best ramen place in Tokyo 4 months ago. Today you're going to Tokyo. You search your messages.

1,247 results. None of them are "the answer."


Or: mom sent you a curry recipe in WhatsApp. Last weekend. Where is it now?

Or (for the builders): you and a friend figured out how to fix something tricky 6 months ago. Today the problem's back. Where was that conversation?

We built Beever Atlas because we kept losing things in our own chats.

Tried Notion (too tedious). Tried search (too noisy). Karpathy posted a public note recently calling for "an LLM Wiki" — basically: turn your messages into a self-organizing knowledge base. Click — that's exactly

what we'd been building.

So we open-sourced it.

What it does, in plain English:

• Reads your Slack/Discord/Teams/Telegram chat history (with permission)

• Sorts the meaningful bits into Topics, Decisions, People, Citations

• Builds you a wiki — automatically updated when you chat

• Lets your AI assistant (e.g. Cursor) read it directly

Runs on your laptop. Your data, your machine. Free + open source.

Two questions for you:

1. Would this be useful for your OWN chat history? What's the first thing you'd search for?

2. Right now we read Slack/Discord/Teams/Telegram. What chat app should we add next? WhatsApp? iMessage? Email? Something else?

There's a Team Edition for companies (multi-user, login systems, audit logs — [email protected] for that), but the open-source version IS the product. Built for ourselves first; scaled to teams later.


Built by our team in HK + Toronto.

Apache 2.0 — github.com/Beever-AI/beever-atlas

Thanks for the read 🙏


— Beever AI

About Beever Atlas on Product Hunt

Your team's chat → an actual wiki, automatically

Beever Atlas was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #51 on the daily leaderboard. Your friend recommended a Tokyo sushi spot in Telegram. You're flying there next week. Buried. Beever Atlas turns your chat history (Slack, Discord, Teams, Telegram) into a searchable, organized library — automatically. Like Google for everything you've ever discussed. AI assistants can read it directly. Free, open-source, runs on your laptop. Your data stays yours. Karpathy described this idea. We built it. github.com/Beever-AI/beever-atlas

On the analytics side, Beever Atlas competes within Artificial Intelligence and GitHub — topics that collectively have 508.5k followers on Product Hunt. The dashboard above tracks how Beever Atlas performed against the three products that launched closest to it on the same day.

Who hunted Beever Atlas?

Beever Atlas was hunted by Beever AI. 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 Beever Atlas including community comment highlights and product details, visit the product overview.