VelocityKit
An AI-native Next.js SaaS starter
What it does
VelocityKit is a production-ready Next.js SaaS starter with AI-ready architecture built in. It includes complete auth flows (sign up, sign in, password reset), Stripe billing for one-time and subscription payments, structured AI context files, 20+ prepared prompts for common use cases, and optional AI-driven content generation during onboarding to help you get up and running fast. Built with Supabase, Stripe, PostHog, Resend, and a clean, mobile-first shadcn/ui + Tailwind UI template.
Does the same job
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Hi HN! I've been building ReadyKit, an open-source SaaS boilerplate that handles all the hard parts: multi-tenant workspaces, Stripe billing, OAuth + MFA authentication, and a production-ready stack. Built with Python/Flask, PostgreSQL, Redis, and Vue 3, it's designed for indie makers and teams who want to ship SaaS products fast. Clone, configure your OAuth and Stripe keys, and you're running in 5 minutes. Features include automatic query scoping for workspace isolation, audit logs, role-based access, and a modern UX kit. MIT licensed and free forever. GitHub:…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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