
Perch AI: Verifiable AI for legal, finance, research, and coding
AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X
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Tech stack
25 projects

AI assistant for legal, finance, research, and coding that cites sources for every claim.
@Laharmckenzie · X

Scan websites for AI usage and test chatbots for bias and safety with this open-source EU AI Act compliance toolkit.
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff

AI-powered security scanner for AWS that identifies and remediates vulnerabilities automatically.
@GlenLouis08 · X
lets connect! building this

Paste or upload text to identify which sentences are AI-generated.
ahmed_javed3 · Product Hunt
AI text Detector AI Detector — See Exactly Which Sentences Are AI

Audit your website's readiness for AI search engines like ChatGPT, Claude, and Perplexity in seconds.
@isreadyai · X
We help check if AI agents can read your site 💚 Free scan, no signup: — 32 checks in 5 seconds across GPTBot, ClaudeBot, Perplexity & more.

AI office assistant grounded in your knowledge base for task automation across coding, research, and presentations.
zhiheng_huang · HN
Sharper – an AI office agent grounded in your knowledge, with citations

Run your prompts through Claude, GPT, and Gemini to get AI-audited consensus answers.
@StevenJdotCom · X
One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.

AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X

AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

Track AI agent conversations to identify failure points and test better prompts.
sailrock · HN
Greenflash – we read every conversation your AI agent has with users

Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X

Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X