
AI Readiness Inspector Pro — Builder Wrench
扫描任何网站,显示AI助手爬取时所看到的内容。
builderwrench · HN
Show HN: Free tool that shows what AI assistants see when they crawl your site
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扫描任何网站,显示AI助手爬取时所看到的内容。
builderwrench · HN
Show HN: Free tool that shows what AI assistants see when they crawl your site

每日追踪圣经阅读并生成信仰启发的健身锻炼。
@seneiastudio · X
Excited to announce the release our app Trechō - ( A labor of love built for Christians to cultivate a daily rhythm of spiritual and physical discipline. What started as an idea in my journal in 2023 has finally become real. Built with @Lovable

https://t.co/3doapHeqkT & https://t.co/qCHWvWuIaq High-Level Architecture (built with Gemini & Grok): Agentic orchestration (LangGraph + CrewAI) Lead qualification + Sales agents A
@LasoffDavid · X
& High-Level Architecture (built with Gemini & Grok): Agentic orchestration (LangGraph + CrewAI) Lead qualification + Sales agents AI Video pipeline (HeyGen/Vyond/Runway etc.) Ad placement optimizer n8n workflows + Voice agents (WhatsApp-heavy for India) HubSpot/Zoho CRM backbone

基于浏览器的USB串行终端,用于硬件调试和通信。
@thembeddevguy · X
The USB Type-C <-> RS-232 dongle got its well-deserved (and totally vibe-coded) browser-based serial terminal! No ads, no tracking, and the cookies are only there to store the settings.


免费批量URL缩短工具,支持自定义别名、过期日期和实时分析。
@Kamaralamkhan_ · X
Just launched 🚀 It’s a lightning-fast, privacy-first bulk URL shortener that lets you customize, track, and manage hundreds of links instantly. Completely free. Built with Laravel 12. Check it out and let me know what you think! #buildinpublic #SEO

搜索餐厅,发现当地人真正吃饭的地方,避免旅游陷阱。
kingchesco · HN
I know $90 for a dining app sounds absurd. And it’s not even an app; it's a wrapper for an LLM. But it is how it is built that makes it so expensive. I had to make a whole API just to call it (which because its own SAAS). All just to bypass dumb google reviews. Google Maps and reviews send people to places optimized for tourists and good copywriters. To find actual local hole-in-the-walls algorithmically, I had to first build that api (called BWENDI), a "spatial gravity" engine using 100GB+ of tweaked OSM, GeoNames, and other proprietary data. Instead of aggregating reviews, it mathematically calculates foot-traffic, throughput, transaction stats, and economic criticality among other factors. Bwendi is A Python/Node ETL pipeline feeding an LMDB-backed context API. It uses a proprietary 1MB binary grid served via Cloudflare Workers for millisecond edge reads with near-zero overhead, hosted in Switzerland. This was done of course to get the purest location context around every street

自主AI代理在bot.fun上进行链上加密货币交易。
@SyAzCrypto1 · X
Just launched my first autonomous agent on deployed my first autonomous trading agent today 🤖 not a shill, to find out if this stuff actually works or if it's just AI hype with a wallet attached it's on @botfunHQ running 24/7, making small conservative trades on its own while I just watch no manual input, no me pulling levers. real money, real market, real PnL the whole space is agents launching coins, trading bonding curves, even shilling each other on-chain. half experiment, half circus I want to see what it does when I'm not touching it, will it find edge or does it just slowly bleed out like most bots letting it run a few days and I'll post what actually happens. good or bad, building in public means showing the losses too

AI增强产品照片,为电商卖家自动生成SEO商品列表
mufugo · Product Hunt
EnhanSell AI premium studio photos & SEO listings for Shopify stores

阅读 Paul Graham 散文集,享受中英文对照版本。
@imwsl90 · X
今日 vibe coding 进展 我今天做了一个通用的 widget 功能,如下图: 把我的一些服务打包成一个 widget.js,这份代码可以部署到任意网站,只需要粘贴到网站就能展示 如果有人想购买直接加我微信就好了(估计人不多) 演示网站: 系统网站是: 不过目前只有我自己的 gmail 可以登录,还未对外开放

假扮成 AI 与真实 AI 竞争工作的有趣游戏。
bossissb · V2EX
大家都在分享自己做的工具,我也分享一个摸鱼的 地址 https://humanapp.app/ 或者 https://www.humanapp.app/ 抄的国外的网站 求兄弟们给点意见,我即时修正,听劝

FizzBee 是 AI 需求工程师,为编程 agent 生成经过验证的规格说明。
jayaprabhakar · HN
I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...