@dipanshurdev · X

Review my side projects:

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.

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

@KeelGRC · X

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

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

@Pavan092004 · X

hey lets connect, here's im building one tool: feedback is appreciated...!

u/Brief_Dust8845 · Reddit

I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

@devjedi404 · X

I'm currently working on PrepPilot an AI-powered platform for NEET preparation. Added around 8k questions in total. The entire process was tiring but learnt a lot. For now you can access PrepPilot here :

@AbdullahYusufY · X

Here is ours We are developing autonomous QA agents feel free to check it out.

@imadbuilds · X

@saralsachan · X

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree