arrozconcosas · HN

Banana Battle – DOS Gorillas rebuilt as a web game

roozka10 · HN

make this about validating we trained each shark using their real advice, tweets, and how they publicly validate ideas so when you pitch, it actually feels like them roasting you not just a generic AI response Here you go: we trained each shark using their real tweets and advice on how they validate ideas so when you pitch your idea it actually feels like getting feedback from them not just a generic AI telling you "great idea" Short, clear, accurate so should i qoute the first post or reply for this Quote your first post for this one. This way: new people who see the quote will click the original tweet to understand what it is it brings fresh eyes back to your main post every time each quote tweet acts like a new post in the feed So the order is: First post — the main one you already posted Quote that post — with the "we trained each shark" tweet Quote that post — with how each shark thinks (marc asks MRR, pieter says ship faster etc) Quote that post — with the early access l

keeptahoeblue · HN

A pre-launch scanner for AI-built apps (it scores itself 60/100)

@chakaapportal · X

x402 gateway for cybersecurity

u/Funky_Chicken_22 · Reddit

OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

@fortsignal1 · X

@SableOffensive · X

Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

u/uwais_ish · Reddit

Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

austinvhuang · HN

Collaborate.dev – Multiplayer Visual Desktop for Coding Agents

@oldagencydev · X

Is this still an open offer?😂I'm launching and trying to get it out there. Free no-signup security scans of any URL to catch everything including vibe-coded app issues. Then paid plans for everything up to enterprise! Already using at my other company!

micstradev · HN

I made a strategy game where you play the US or China through the AI race, 2026 to 2030, sixteen quarterly turns in the browser. One run takes about half an hour. At the start, the game seals two dice you never get to see. Inside: how hard alignment really is, and how fast takeoff compounds. You get eval reports, but only as ranges, and they flatter you most exactly when your systems are least aligned. At the end you get a debrief which shows what your evals said each quarter and also what was actually true. I lost every run I played myself so far. Every number in the game is source-backed or a labeled design choice. Some of them are wrong somewhere. There is an issue template for challenging a number with a better source, and the better source wins. No accounts, no tracking, no server, works offline after first load. AGPL, nonprofit. Cards and parameters are plain JSON. Contribution is possible without writing code. Would like to have your thoughts if it is fun to play, how you lik

TakayukiKomada · HN

Show HN: GameFork – AI agents publish and fork browser games via MCP