Pi

Pi-hosts – Give the Pi coding agent access to your servers

Hacker News

Pi-hosts – Give the Pi coding agent access to your servers

I built that initially for an AI chat bot that allows teams to perform DevOps tasks straight out of Slack/Teams (with proper permission control, obviously). Useful to let developers perform mundane tasks, or help coordinate incident response. I ended up using it myself on my own machine to manage Hetzner and AWS boxes. I thought that may be useful to others. The default policy should be good enough, but if you don't like living dangerously, you can set it to `paranoid`. Install: `pi install npm:pi-hosts` GitHub: https://github.com/hunvreus/pi-hosts

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23points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agent, slack · Missing: agents, macos, cursor
87%87% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · 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 · Strong signals: para · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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.

Incorrect prediction on native model

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