
nextbunny - Visually Build Production Ready React & Next.js
Build production-ready React and Next.js apps visually, export clean code.
@MahatiSingh · X
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Build production-ready React and Next.js apps visually, export clean code.
@MahatiSingh · X

A registry of hand-crafted React components and templates for building polished UIs.
@polyqoy · X
This video shows a fully animated 3D site built in 2 minutes with claude code. one terminal command. but the prompt was almost irrelevant. the real work was the pre-load: ui/ux pro max skill, a hero component from framer motion stacked in before claude touched anything the toolkit did the job. the prompt just pulled the trigger. that's also why most people's claude output looks generic. they skip the setup and blame the model.

Browse and use prebuilt React components with purposeful motion design
@nexvyn · X
I'm building a component library focused on purposeful motion Link:-

Try a high-performance React data grid component optimized for enterprise use.
@leethatengineer · X
Building LyteNyte Grid

Automatically route each prompt to the cheapest capable model to cut API costs.
u/ASDKING100 · Reddit
Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

Write email templates as React components and automations as TypeScript, then deploy with your app.
@stewartjarod · X

React library with 60+ scroll-driven section transitions for modern websites.
@itz_sayan_03 · X
Ever wondered how cinematic scroll-driven websites are built? 👀 Meet SectionFlow—an open-source React library with 60+ ready-to-use section transitions, a one-command CLI, reusable sections, and optimized performance. 🚀

Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

Convert X posts to clean Markdown for LLMs and agents via API or URL swap
@larsbuilds · X

Generate connected multi-screen UI prototypes from text prompts.
@shokhkarim1212 · X

View LLM model rankings across 10 benchmark questions.
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

View LLM API spending analytics by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to