@iamdebiddo · X

@ohdearkk · X

keeptahoeblue · HN

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

@Launch_Pulse_ · X

Aarav03790 · HN

I made AI agent that deploys your thing on diff plats automaticaly

hishboy · HN

Cloud based firecracker VMs for agents, with email, domains and wallets

@shivpurohit460 · X

Built LaunchReady for #BuildWhatMovesIndia. It helps first-time founders check whether registered-office documents are actually filing-ready and catches issues like address mismatches before filing. Built with Codex. Synthetic data only. Live demo: @waitin4agi_

@pbaxm · X

late to the party as I had two kids to tend to... but check out it's a 3-in-1 toolkit (uptime, analytics, error tracking) with SDKs for Ruby, Elixir, and JS (more to come) and it replaced AppSignal/Sentry, Fathom, and UptimeRobot for my own dev work

@sitedropper · X

- Local to live without the hassle

u/OGMYT · Reddit

Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

@cuebicai · X

@nexusai_apps · X