Nekoni – local AI agent accessible from your phone, no cloud

Hacker News

I wanted a personal AI assistant on my home machine, accessible from my phone, without anything going through a third-party server. Everything I found required a VPN, a relay, or a subscription. So I built this. Your phone connects directly to your machine over an encrypted peer-to-peer channel. A public signaling server handles the initial connection only - it never sees your messages or data. It's not just chat - the phone app is a full management interface. You can ingest documents into the RAG knowledge base, create and edit prompt templates, manage cron schedules, and control the agent, all from your phone without touching the home machine. Runs any Ollama model locally. Also has a web dashboard, native mobile apps and PWA for mobile access. https://github.com/nekonihq/nekoni

Visit product View on Hacker NewsMar 24, 2026

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agent, model · 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.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: mobile apps, personal, apps · Missing: ios, entrepreneurs, video

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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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