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集中管理客户反馈,通过投票排序,并分享交互式产品路线图。
@himanshu_b20 · X
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27 projects

集中管理客户反馈,通过投票排序,并分享交互式产品路线图。
@himanshu_b20 · X

在AI游戏大师主持的多人策略游戏中竞争和统治
jklewis · HN
Machinations – a multiplayer strategy game where LLM is the game master

Indream是AI滤镜和生成器,可转换照片、生成视频、音乐和3D内容。
AI Filter — 用 AI 滤镜将你的照片变换为动漫、粘土、3D、像素、表情符号、视频游戏、贴纸等多种滤镜风格

Zero-setup JSON database for AI-generated app frontends with encrypted persistence.
@dhairyadarji786 · X
Tired of database setup for simple AI/Cursor prototypes?I built CloudState: a zero-config cloud database for vibe-coding. ⚡Get a secure JSON endpoint in 10s 🤖 Custom prompts for Cursor/Bolt/v0 to sync state via fetch Check it out:

Rollin - 实时多人策略游戏,掷骰子、秘密放置和战术战斗。
@z3roshot · X
Made up a game where chess meets dice: roll, shop, secretly place, fight. ⚄ Same deterministic engine runs the bots and the humans. Server-authoritative so nobody can peek at your hidden pieces. Built with Claude Code. Read more

探索精选AI图像提示词库,包含模型适配指南和参考图像指导。
u/cankirkgoz · Reddit
I kept rewriting AI portrait prompts for every reference photo, so I built a tool for it Over the past few months, I’ve been experimenting a lot with realistic AI portraits, and I kept running into the same problem. Finding a good-looking result online is easy. Finding the prompt behind it is harder, but still possible. The real problem starts when you try to use that prompt with your own reference photo. Change the person, outfit, location, or number of people, and the pr

在一个地方捕捉会议、用AI写笔记、在共享画布上创建图表。
@rubs_murga · X


混合动物、机甲或英雄来创建独特的混合角色。
Magic Animal Generator — 尽情发挥你的想象力 用 AI 混合两种动物,创造前所未见的新物种

连接电力、电动车和太阳能面板来优化电费支出并找到最优充电时间。
@gleam_energy · X
Gleam — an energy management tool that helps people understand, optimize, and save on electricity. Utility data, EVs, solar, batteries, and weather combine to answer questions like "Why did my bill go up?" or "Would switching rate plans save money?"


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