{"id":47255448,"title":"Show HN: MoatRadar – AI investment research through Warren Buffett's principles","points":1,"user":"chodelka","time":1772666753,"time_ago":"10 hours ago","type":"link","content":"

Hey HN,

I’m a non-developer and this is the first app I’ve ever shipped in my life. I built it over the last few days using Claude and a lot of vibe coding.

The idea came from my own investing workflow: I often look at companies through the lens of specific investors (Buffett, Lynch, Taleb, etc.). I wanted a tool that could generate investment ideas filtered through those frameworks.

What the app does:

You choose an investor (Buffett, Lynch, Soros, Damodaran, etc.) and an asset class (stocks, startups, crypto). The app then generates 10 opportunities and explains why that investor might find them interesting, based on their known principles.

Under the hood:\n • Node.js server (no frameworks)\n • Vanilla JS frontend\n • GPT-4o for research / synthesis\n • live price data\n • Stripe + Google OAuth\n • hosted on Railway

It’s still an experiment and I’m curious if the idea actually makes sense to other investors.

You can try it here:

https://www.moatradar.com

HN users can get 10 free credits:

https://www.moatradar.com/?promo=HACKERNEWS

I’d especially love feedback on:\n • whether the investor framework idea makes sense\n • where the technical architecture is fragile\n • and whether the output is actually useful.

Peter","url":"https://www.moatradar.com/?promo=HACKERNEWS","domain":"moatradar.com","comments":[{"id":47255725,"level":0,"user":"jlongo78","time":1772668806,"time_ago":"9 hours ago","content":"

Wrong thread, but Buffett's moat research and multi-agent AI workflows actualy pair well — screening at scale what he'd do by intuition.","comments":[]}],"comments_count":1}