@iAngel · X

@YashPatel_2607 · X

Building — paste any store URL, it scans your product listings for compliance violations (Prop 65, FDA, CPSIA, GPSR). Free, no signup. Most sellers don't know they're one missing warning label away from a $2,500/day fine.

@raeezatameez · X

dropping mine - would love your take!

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

u/Budget_Lawfulness_33 · Reddit

I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https

@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

@jobcloudai · X

@EveryDayFSDev · X

I’m building catch SaaS bugs before your users do: plain-English flows + AI browser automation that adapts to changes and wires straight into CI/CD.

Zuri Obozuwa

@FunnyDiscovery · X

做了一个纯前端小工具：AI Signal Guard 用来在使用 Claude / ChatGPT / Gemini 前，自查浏览器侧能暴露哪些信号： - 出口 IP / ASN / 组织 - DNS 泄漏 - WebRTC 泄漏 - 语言、时区、字体、Emoji 纯静态页面，无自建后端 在线体验： GitHub仓库：

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

@MrPenetratorTP · X

MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.