Aarav03790 · HN

I made AI agent that deploys your thing on diff plats automaticaly

@yadavdheerajraj · X

Hey Founders @Everyone , We are building a market place for interviewee and interviewer. Anyone who is preparing for interviews can book a slot for real interview with the guy working in that organiation. Please roast my landing page #BuildInPublic.

@bendrumin · X

I built nights and weekends as a solo founder. 📱 130+ users worldwide, paying subscribers, zero churn 🤖 Built AI-native with Claude Code + Cursor (React/Supabase) My day job: PM owning 13 partner integrations at a wealthtech CRM, where I cut client onboarding from 4-6 weeks to 1-2. Now looking for my next thing: Integration/Platform PM or technical PM roles. DMs open 👇 #buildinpublic #ProductManagement #hiring #opentowork

revolt2tech · HN

Challenge a Friend to Real-Time Multiplayer AI Court Battle – Wram.chat

drzivil · HN

Drag boxes around and watch a layout engine infer the Flexbox (no AI)

ldooo · V2EX

分享一个百万人围观的家居、色彩相关的电影截图网站 这个网站整理了几乎所有优秀家居、空间的电影截图，图片无水印高清，支持按照主流色彩分类，养眼提高审美。 适合： - 设计师 - 家居爱好者 - 电影爱好者 网站地址： https://www.yeguozi.com/ 如果觉得对你有用，欢迎留言帮顶 感谢。

@RiddlerNFT · X

Who’s the GOAT? Messi or Ronaldo? It’s an ongoing family debate so my kid just vibe coded this next to the swimming pool 😂

@spt4d · X

Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

@spt4d · X

Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

@spt4d · X

Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:

hugodpz · Product Hunt

AI Pixel Art Generator The professional AI pixel art generator for game developers

@onehopeA9 · X

用 DAPPOS @dappOS_com 做了一个加密货币缠论分析网站，也是我一直想做没时间做的！ 来看看缠论三买的威力： 不是不会写代码。 我自己是程序员，真要硬写当然能写。 但问题是：没时间。🤡 做交易的人都懂，真正消耗人的不是“看一根 K 线”，而是把一堆信息拼起来： K 线结构。 缠论笔、中枢。 一买二买三买。 一卖二卖三卖。 资金费率。 持仓量变化。 成交量异动。 市场舆情。 这些模块涉及太多方面，写得出来，但太费时间。 所以我一直想做一个自己的交易雷达： 接币安历史数据。 用 TradingView 展示 K 线。 自动画缠论结构。 标注买卖点。 再把资金费率、持仓量、成交量和币安广场热度放进去。 想法很清楚。 但一直躺在 TODO 里。 最近用 xbubble 的 Coding 功能试了一下，直接把需求丢进去： “做一个加密货币缠论分析网站，接入币安一年历史数据，用 TradingView 展示 K 线，自动画笔、中枢、一买二买三买、一卖二卖三卖，增加异动分析和币安广场舆情热度。” 它真给我生成了一个能跑的原型。 这次最戳我的不是“AI 会写代码”。 而是 xBubble 把最消耗时间的工程杂活压短了。 以前我自己做： ❌ 搭项目结构 ❌ 爬数据源和图表库 ❌ 写 K 线处理 ❌ 写缠论结构识别 ❌ 做前端交互 ❌ 部署、改样式、修细节 一圈下来，核心想法还没验证，人先累了。 现在变成： ✅ 先描述业务目标 ✅ 让 xBubble 生成可运行原型 ✅ 我再校验规则、调整逻辑、优化体验 ✅ 把时间花在交易理解和产品迭代上 这对程序员其实很有价值。 因为程序员最缺的不是能力，而是时间和注意力。 我这个原型现在大概有几块： 第一，TradingView K 线主图。 用币安数据展示行情，再叠加缠论结构。 第二，笔和中枢。 把原本需要手动盯的结构，先自动画出来。 第三，买卖点雷达。 一买、二买、三买，一卖、二卖、三卖，先帮我筛可能的位置。 第四，异动面板。 资金费率、持仓量、成交量变化，和 K 线结构一起看。 第五，舆情热度。 把币安广场讨论热度也拉进来，看看市场情绪是不是和盘面互相印证。 你可以理解成： 我不是让 AI 替我交易。 我是让 AI 帮我做一个交易前的信息雷达。 我觉得 xBubble 和普通 AI