Seagull Starter
Ship your SaaS in a weekend — auth, Stripe & AI included
What it does
Production-ready Next.js 16 SaaS starter with auth, payments, and AI — ship this weekend. • Auth.js v5: email + Google/GitHub OAuth, roles & sessions included • Stripe: checkout, billing portal, webhooks syncing plan + AI credits • Streaming AI chat with per-user credit quotas • Prisma 7 + zero-config SQLite (Postgres in one line) • Tailwind v4 dark mode, landing/pricing/dashboard/admin pages • One-click Vercel deploy, MIT license Runs in demo mode with no API keys. $79 — half of ShipFast.
Launch your SaaS in a weekend, not a monthSeagull Starter is a production-ready Next.js 16 boilerplate with authentication, payments, and AI — batteries included. Skip weeks of setup and ship your product today.What's included Authentication — Email/password + Google/GitHub OAuth via Auth.js v5, with roles and sessions out of the box Payments — Stripe subscriptions: checkout, billing portal, and w
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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