Social & Community3 weeks ago
ChatCatharsis — Governed Multi-Model Research
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
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Tech stack
60 projects
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
GrowthProof helps MSPs collect recurring security evidence, track missing work, and publish professional monthly client reports from one secure workspace.
@shawalbuilds · X
GrowthProof helps small MSPs turn recurring security and maintenance work into client-ready evidence reports—without replacing their RMM or PSA.
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.
Analyze news, video, and text for media bias and manipulation techniques.
jayubba1 · HN
Biasly.ai – Bias detection with historical context
把 Web3 求职、稳定币支付、出海合规拆成可视化、可执行的 playbook，并随法规持续更新。信息参考，非法律意见。
@itsAlexFan · X
Citely helps AI and Web3 founders turn legal and operational uncertainty into clear decisions and next steps before they raise, launch, or partner.
AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
Turn documents into a searchable wiki with AI-verified, fact-checked answers.
u/Calm-Tomatillo-7770 · Reddit
Is vibe coding criticism fair? A lot of the criticism of vibe coding is fair. Too many projects look good in a demo then fall apart in production — weak security, missing edge cases, code nobody understands later. One of the biggest gaps is testing (or the total lack of it). I took both automated and manual testing seriously while building Brainary. Ended up with a testing-to-code ratio of about 1 to less than 3, plus a lot of hands-on checking. I think it turned out solid because of that.
BrandinAI scans what ChatGPT, Claude, Gemini & Perplexity recommend, finds the Reddit threads driving those answers, and helps you join them.
@dev_adityakmr · X
Need some suggestions. Do anyone think this will work ? Please check this. I would really appreciate any feedback.
Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
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.
See estimated energy, carbon, and water impact of AI-generated content in relatable units.
daniloedu · HN
Energy, carbon and water estimates for AI content, shown as ranges