Heypi – Like OpenClaw but for Your Team (Slack, Discord, etc.)

Hacker News

I kind of wanted Openclaw, but for teams. It's a Typescript framework to create chat agents for Slack, Discord, and the likes: - Sandboxing for commands (just-bash, Docker, Gondolin), - Approval flows (e.g. any "risky" command needs approval from a certain team on Slack), - Configuration with markdown files (SOUL.md, AGENTS.md) and skills, - It's built on Pi, so you can use Pi extensions (ish), - And a lot more: web admin panel, audit trail, cron and heartbeat, support for documents (PDF, docx, etc), ... There are a few examples in the repo, including a DevOps assistant that can help your team manage servers. I'll whip out a demo in the next few days. If you're adventurous enough to give it a try, let me know.

Visit product View on Hacker NewsMay 29, 2026

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, slack · Missing: mac, macos, cursor

97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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