@QAInsights · X

@SnapVibr · X

Looks awesome! If you want rapid gut-check feedback before scaling, add it to SnapVibr. Get honest 5-second swipe reviews instead of long forms or empty praise. Free to create your deck:

@keshav__dev · X

Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP

fathermarz · HN

I’ve worked in software supply-chain security for six years doing binary analysis on firmware, industrial controls systems, and commodity IT closed/open source software. What I learned is that in hopes to secure the software supply chain we have ran a very similar playbook and mostly over engineered the problem, with SBOMs and VEX documents and expected the industry to comply. But what was discovered was that every SBOM looks different depending on who produced it and at what step in the chain,

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

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

@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.

@KSFirasa · X

Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

@aryaan_sheth · X

- LLM security for small teams

@guhanvenkaty · X

Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.

@TheFallen_jay · X

added multiple features based on user feedback on