zizheruan · HN

XTokenChecker – Verifies model identities of your AI gateway

u/G1a9b9r9y · Reddit

I built a tool that shows if you would've panic-sold during a real market crash Weekend project: a test where you relive a stock's worst historical crash day by day, and decide whether to sell or hold at each point. At the end it shows how much return you'd have left on the table by panic-selling vs holding. Posted it on an Italian finance sub first — got genuinely useful feedback (turns out showing the ticker upfront made it too easy to guess the outcome), so I just shipped a v2 where the

@daicandev · X

Building proven, the tool that gets your product from idea to growing income

@__singhritwik · X

u/UnderstandingBusy758 · Reddit

I hoard YouTube "Watch Later" videos I never watch (OneTab). So I built a bouncer that reads the transcript and tells me if it's worth my time. My Watch Later list hit a few hundred videos. Every one of them felt "worth it someday," so the pile only grew — the same way browser tabs piled up before OneTab. So I built WatchBouncer. Paste YouTube links — one, or your whole Watch Later — and an AI reads the actual transcript (not the thumbnail, not the hype). Each video gets: a quality scor

@guru3s · X

IMF team for when your AI agent ( Ethan Hunt ) is about to fail v0 at

u/Funky_Chicken_22 · Reddit

OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

@nellaiorgs · X

Building NELL Labs -- an AI-native startup validation platform. Instead of generic LLM answers, it scores your idea across specificity, evidence quality, risk clarity, and next-step usefulness, so you know if it's actually validated or just sounds good.

@vicngan · X

@CodeBullapp · X

Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

@EveryDayFSDev · X

I’m building catch SaaS bugs before your users do: plain-English flows + AI browser automation that adapts to changes and wires straight into CI/CD.

@indiesaasgrowth · X

I built a study app. . It's a study app for medicos , it turns pdf into flash cards , audio podcasts, quizzes and so on. It makes study easier. And also reminds them to study and analyses their weak points and then it trains us accordingly. It also shows their performance and progress over time .