开发者工具1 week ago · 3 次试用
Clusy | Agent-Native Notebook for ML and Data Science
在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
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在智能代理笔记本中构建、运行和评估机器学习工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
从 Reddit、HN 和应用商店拉取反馈，为创业想法生成验证报告。
@daicandev · X
Building proven, the tool that gets your product from idea to growing income
输入遗传数据获得印度化的药物剂量推荐。
@ravi2706kumar · X
Cells to Cure for indian genes,check it out at
通过应用投诉分析发现被忽视的产品机会。
@MihkelSylla · X
Working on and few other smaller projects for myself
追踪Pokémon TCG卡牌价格,获取AI市场预测来管理你的收藏。
@mylordbugsy · X
I'm working on TCG Forecast, a website for the #PokemonTCG community that will help users know which card in their collection is getting value using advanced AI, all for free! It also has a leaderboard showcasing the position of EVERY Pokémon's worth
MergeDeck：全球商务交易市场，可购买和出售企业、初创公司。
@kushmergedeck · X
Building Check out 🙌🏻
在浏览器中对 ZIP 文件排序、重命名，100% 本地处理，无需上传。
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:
跟踪 GitHub、Hacker News、Product Hunt 和 YouTube 上的热门产品。
jameshuang23 · Product Hunt
OpenProduct All in one AI product tracer.
连接您的 Postgres 或 Supabase 数据库，并在数据漂移时接收 AI 驱动的警报
@franciscobuilds · X
1. Building Tabkeel, an AI-powered analytics platform for SaaS products 2. For founders and teams who want to actually understand and act on their data 3.
用独立验证的数据对比和评估 SaaS API，辅助自建或购买决策。
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
Clearbox 实时监控 Reddit，发现商机和竞争信息
@shawntenam · X
Claude Code Daily... Version 3 is live. Just shipped a clean refresh of the daily landing page: tighter flow, better signal extraction, and a soft CTA at the bottom that points builders toward without being pushy. Last week I dropped the previous version straight into the Claude Code subreddit. Result? ~400 visitors, only 5 clickouts. That’s how i test and iterate on Reddit. never blast a direct product link. You share the actual value first. the blog post itself. and let the equal exchange do the work. If someone finds the daily brief useful and wants to go deeper (beyond basic scraping into real intent signals), the path is there naturally. No deception, just reciprocity. builder mindset in action: ship fast, measure honestly, refine in public. does V3 hit cleaner? Drop your thoughts below.
通过 AI 原生分析平台浏览 FC Zürich 比赛数据和球员信息。
@zerokn0wledge_ · X
hey @fc_zuerich I vibe-coded something for you at the beach today with my fren @claudeai Fable 5. let's talk. because I love you.