facundobon · HN

Verdict – AI hiring verdicts where every score cites the CV verbatim

@_sunbo · X

I built ProductIdeaScout to help founders validate product ideas before they start building:

Dgeloe4-yb · GitHub

market-pilot Evidence-grounded market research prototype with traceable AI workflows.

samcymbaluk · HN

Axiom toolkit – Make your ideas precise enough to be proven wrong

@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.

@KeelGRC · X

just launched this week. It’s an SMB-friendly GRC and compliance application.

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告

@askrashidkhan · X

u/zx9rams · Reddit

I built a Bible tool designed so the AI can't just make things up. I've been building this for a while and the part I actually care about is the architecture, because an AI that reads the Bible is exactly the thing nobody should trust by default. So its built the opposite way, the model is treated as untrusted and the code owns every real decision. every quote is checked word for word against the Hebrew and Greek before it shows, so the model cant paraphrase scripture into an answer eve

@MarkZofMarkZ · X

Screen Recorder that doesn't share your recordings to the cloud:

@frank_brsrk · X

reasoning tools for ai agents