stoicstoic · HN

Show HN: Diff two versions of an AI agent and catch silent permission changes

@theshaunak_twit · X

ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

@VaraadDurgaay · X

Solving the prb of observability in ai agents

@proyecto_cripto · X

@jay_cobski · X

Awesome oil and gas safety audit tool -

@franciscobuilds · X

1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.

@yedil_bek · X

Building RedRun - security testing that proves what it finds. Runs the real exploit + hands you the exact request/response: SQLi, IDOR, SSRF, XSS, JWT + AI prompt-injection. Zero false positives. Free scan → Active engine invite-only - DM for access code

@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.

@ivelin_dev99 · X

ProofNod solves unpaid scope creep for freelancers and small agencies. When a client asks for extra work, you send the price/timeline impact, get a clear yes, then start. Private beta opens July 1, first 50 founding members get 50% off.

@0xDrVV

u/JustinMoose · Reddit

I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe

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