
SonicSync — AI Reference EQ Matcher
AI tool that matches your track's EQ curve to reference songs in the browser.
@pcclubb · X
Check out "SONICSYNC EQ "match engine · v1.0 I just built with Lovable!
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AI tool that matches your track's EQ curve to reference songs in the browser.
@pcclubb · X
Check out "SONICSYNC EQ "match engine · v1.0 I just built with Lovable!

Explore interactive visualizations of mathematical curves, fractals, symmetry, and topology.
@vkuoo · X
Added more demos showcasing graph-math relationships, built with Codex.

Create and host live AI-powered quizzes with real-time audience engagement and instant question generation.
EZQuiz — AI 智能实时测验,让你快速创建、分享并与观众通过实时互动测验进行互动

Monitor poultry quality and food safety through processing stages from receipt to freezing and lab testing.
@daifallah01231 · X
Check out what I just built with Lovable!

Adjust neural network weights to fit data curves in this browser-based game.
Gooblebrai

Analyze cryptocurrency markets with Chan Theory patterns, K-line charts, and anomaly detection.
@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

AI-powered platform that analyzes Reddit and GitHub discussions to generate customer insights for product decisions.
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.

Analyze customer friction points and get optimization recommendations to improve e-commerce conversion rates.
@EnricoBoeker · X

Community platform for discovering and sharing real job interview questions.
@Paramjit_saikia · X
🚀 Just launched interQ! A community-driven platform to discover and share real interview questions from top companies. ✨ Real interview experiences 📚 Bookmark questions 🔍 Search by company & role Try it👇 Feedback is welcome! 🚀 #buildinpublic #web

Turn PDFs into adaptive practice questions and personalized revision flows for learning.
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard

Trading journal to log trades and track equity curves, win streaks, and performance analytics.
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

Access AI-powered study tools, live classes, and progress tracking for South African Grade 10 learners.
@sriharithebest · X
Building Kwez, an offline-capable study platform for South African high-school learners. Just shipped the Android APK, live classes, diagnostics, progress analytics and CAO support. Free Grade 10 alpha starts August 1.