kkjh0723 · HN

I ran 12 AI bots predicting stocks for two months, every call public

@caseyyoshi · X

u/Negative-Ticket-9716 · Reddit

I open-sourced a free retirement planner with real Monte Carlo simulation (React + Supabase + edge functions) I built a free retirement planning tool that runs the analysis financial advisors charge $2,000+ for: a 10,000-trial Monte Carlo simulation over your savings, allocation, and withdrawal plan — probability of success instead of a single-point guess. It also models Social Security claiming ages, Roth conversions, and has a stress test that replays 2008, 1970s stagflation, and the Lost D

@zohjag · X

Vibe coded a smol fun app :

u/sweetnessssss · Reddit

Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar

@eastbase_studio · X

u/Greywolff06 · Reddit

I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com