
ChatCatharsis — Governed Multi-Model Research
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
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Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X

Analyzes news articles to verify whether conclusions are supported by evidence.
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具:LedeLens。 它不做事实核查,也不判断政治倾向,只回答一个更小的问题:文章的结论,能否由它自己提供的证据支持? 在线体验: 感兴趣可以看看~

Compare candidates on evidence-cited dimensions and generate hiring documents.
facundobon · HN
Verdict – AI hiring verdicts where every score cites the CV verbatim

Validates scientific claims in manuscripts against their cited evidence and suggests corrections.
@CiteWiseAi · X
We built our platform to protect the integrity of research papers. We don’t only validate citations. But also if the citation actually supports what you’re saying.

Answer market research questions using AI analysis of social media data with evidence-linked insights.
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.

Refine ideas through logical reasoning and publish them to a community of verified knowledge.
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong

AI-powered collaborative clinical reasoning platform for medical education. Students solve cases together, AI presents bounded patient responses, and educators guide differential r
@Amoghh09 · X

Upload datasets to automatically find statistically significant correlations and causal relationships.
@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.

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

Score startup ideas based on specificity, evidence quality, and risk clarity using AI.
@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.

Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X

Buy a proven method, make it your own, and check off steps to the outcome. The anti-course: short, active, finishable.
@victorzamfir · X