开发者工具4 weeks ago
Pengin AI — Browser-Native AI SDK
在浏览器中运行 AI 模型，仅需一个脚本标签，无需服务器或 API 密钥。
@erdemwrites · X
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22 projects
在浏览器中运行 AI 模型，仅需一个脚本标签，无需服务器或 API 密钥。
@erdemwrites · X
搜索亚洲的AI推荐旅行目的地，完全免费。
developeron29 · HN
Free AI travel destination search across Asia
向多个AI模型提问，比较答案，观察它们辩论至共识。
u/trekhleb · Reddit
I kept pasting the same question into ChatGPT, Claude, and Gemini in three tabs; so I built a Yes-Brainer — a council of AI models, that answer your question in parallel, debate to consensus, or get judged to a verdict. submitted by /u/trekhleb to r/SideProject [link] [comments]
@anupamrjp Fiverr for AI agents https://t.co/NG1jbFOiIb
@aashna_doshi2 · X
Fiverr for AI agents
在发布前扫描 AI 应用的身份验证、API 和部署风险。
keeptahoeblue · HN
A pre-launch scanner for AI-built apps (it scores itself 60/100)
通过测试对比AI API中转站的性能、价格和模型纯度。
OkkMax — AI API 中转站评测与监测工具，聚合模型纯度、在线率、延迟、价格、用户点评和福利活动 - [更多介绍](https://github.com/fanbidog/okkmax-web)
用 Etch 追踪、回放和验证 AI 代理的决策。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
用AI生成旅行行程，包含预算分析、实时人流热图、行李清单和签证信息。
u/Mohucool · Reddit
Roamwise - A smart AI travel Planner I created an AI powered smart travel itinerary planner app ,let me know if you like it. You can access it at https://www.roamwise.co.in . I will try to take feature requests and additions as per the response of audience. submitted by /u/Mohucool to r/SideProject [link] [comments]
让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.
在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b