An AI that builds perfect React landing pages
As an indie hacker, I used to spend hours creating landing pages for my side projects and SaaS. So, in the past few months, I built Webifier.io. It converts prompts into full blown landing pages that are customized for you. This includes: animations, custom sections, etc. You can then export a clean React/Next project. Can’t wait to hear what you think!
Does the same job
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- IMI'm building an AI tool that turns Design Systems into React components2024 · robustlaunch.com · ▲8
Hi HN! Solo developer here. 10 days ago, I started building this after spending countless hours copying/pasting marketing sections and fighting to keep them consistent with our design system. I wondered: "What if AI could understand our design system and generate React components that actually match it?" Current progress (10 days in): - Can generate hero sections that follow your design tokens - Uses your actual component variants and styles - Works with Next.js, Tailwind, shadcn/ui It's very early days, but I'm excited to share it with other devs who: - Are tired of rebuilding…
- RARemake – A server-rendered framework for building CRUD web apps fast2020 · ▲47
I wanted to have a framework that would let me build web apps faster than ever before. I didn’t care if it was a little hacky or didn’t use best practices — I wanted to be able to get a multi-user application out the door in hours instead of months. I researched the CMS space for months before deciding to build something from scratch. My goal was to be 90% done building a web app once I had the static HTML and CSS finished. I’m not a big fan of building out API endpoints over and over again for every new app, fiddling with a database, or doing lots of config. What I ended up with was a…
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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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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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One inbox for all your work discussions
Work · 2024 · generalcollaboration.com