My

MyLocalAI – Enhanced local AI chat interface

Hacker News

MyLocalAI – Enhanced local AI chat interface

I built a local AI chat interface that I'm planning to enhance with capabilities like web search and file processing. Demo: https://youtu.be/g14zgT6INoA This was my first real project (mostly vibe coded while learning), but it's functional and I'm excited about the roadmap. The goal is to create a more capable local AI experience that goes beyond basic chat. Current: Clean local AI interface, complete privacy, self-hosted Planned: Internet search integration, file upload/processing, custom tools Built with Node.js. Completely open source. Looking for feedback and feature suggestions from the community! GitHub: https://github.com/mylocalaichat/mylocalai

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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: code, open · Missing: mac, agents, macos
82%82% 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.
AppSumoStrong fit for a featured deal · Strong signals: host, interface · Missing: plus, platform, intuitive
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% 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: excited, open source, io · Missing: https docs, just released, exist
37%37% 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
27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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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