
SentientUI — UI that learns what converts — SentientUI
自动为每位访客提供个性化UI文案和布局以优化转化的React库。
@casancamdev · X
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自动为每位访客提供个性化UI文案和布局以优化转化的React库。
@casancamdev · X

一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

压缩提示词以减少向LLM API发送的token数量和成本。
@asgujjuasitgets · X

JavaScript和TypeScript代码审查工具,使用AI无需执行代码即可识别问题。
@adib_011 · X
Built RepoLens at the Codex Meetup, an evidence-first JS/TS code review tool that shows reviewers where to look, without executing repository code. Built with Codex + GPT‑5.6. Try it: Demo: @OpenAIDevs @mitul_shahriyar #CodexMeetup

精选的 React 组件和模板索引,帮助团队构建精致的产品界面。
@edinsoncode · X
Hey, I’m Eddy 👋 solana:8T3suJtKUGrWRytVNKe7RLV81AumvmBPQfEkyeHtpump I’m building and Looking to connect with people into: • AI • SaaS • Startups • Vibe Coding • Tech • Product Building • Content Creation • Design If you’re building, creating, or shipping something interesting — let’s connect and grow together 🤝

免费的动画React组件库,用于构建交互式UI。
@react_bytes · X
Just launched 🚀 Built this from scratch - would love for you to check it out and let me know what you think! 🔗 #buildinpublic #webdev

用Sakura基准测试本地编码模型,测量准确性、延迟和吞吐量。
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode

自动将提示词路由到最便宜的模型,节省API成本。
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

压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

用WebAssembly在浏览器运行和管理LLM模型
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager

编写 React 邮件模板和 TypeScript 自动化,然后随应用部署。
@stewartjarod · X

Ace your frontend interview at Google, Meta, Amazon & top tech companies. Practice 500+ JavaScript coding questions, UI challenges, and system design exercises with step-by-step so
@abhishekjakhar · X