@louiswharmby · X

It's funny how that happens! My dog vibe coded and managed to achieve 500 users in the first month! 🤣

@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.

@manoharkale1110 · X

systemerror · HN

Show HN: A tool to see if your site is readable by AI agents

@SearchAuditio · X

Hello! We built a tool to check the visibility of vibe coded sites and we also can fix the issues. You URL audit is free, no subscription :)

u/mrtrly · Reddit

I asked ChatGPT 20 different ways who could fix a half-built app. It never named my company once. I do codebase rescue for founders in exactly that spot, so that one stung. There are already plenty of tools that measure this kind of AI visibility, a CDN even ships one free, so I built mine mostly to see my own number, and it confirmed the bad news: near zero. The measuring turned out to be the easy part. What none of the tools do, and what I actually care about, is the fix: getting the mode

@SidraMumtaz25 · X

AutoRedTeam is an AI-powered security platform that automatically red-teams AI chatbots for vulnerabilities like prompt injection, jailbreaks, and data leaks. Built for AI teams to find and fix security issues before attackers do.

@Ebrahim_Rio · X

Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

u/RockettBits · Reddit

I built a tool to check whether my websites are ready to be cited by ChatGPT, Perplexity, Gemini A lot of AI SEO tools seem to work in a similar way. They send your site to an LLM and ask it to generate a score. The result can look convincing, but it is often hard to know what the score is actually based on. I wanted to build something more reproducible with findyouraiscore.com The scoring uses fixed rules based on published research articles around GEO, RAG, citation behavior and sourc

u/inc_23 · Reddit

Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

@AiShivam · X

AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

@orsik_sergey · X