
AI-Powered Trading Chart Analysis | TradingLens
Upload trading chart screenshots to get AI-powered technical analysis of support, resistance, trends, and patterns.
@sreebuildss · X
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Upload trading chart screenshots to get AI-powered technical analysis of support, resistance, trends, and patterns.
@sreebuildss · X

Analyze and rate facial attractiveness with AI using multi-dimensional beauty scoring.
FaceRatingAI — AI 颜值打分网站,包括不同维度评分、整体排名等

Analyzes news articles to verify whether conclusions are supported by evidence.
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具:LedeLens。 它不做事实核查,也不判断政治倾向,只回答一个更小的问题:文章的结论,能否由它自己提供的证据支持? 在线体验: 感兴趣可以看看~

Track user events and analyze product behavior with an analytics dashboard.
@kitbasedev · X
We just launched, check us out at

Terminal for analyzing IDX stocks with AI, broker analysis, foreign flow tracking, and technical signals.
@eglant_stock · X
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Paste your CV and job offer to get a match score, missing keywords, and optimization tips.
@lucasledonne · X

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

Explore Y Combinator companies and receive an AI analysis of your startup idea's fit with the accelerator.
sirily11 · HN
Application Signal – AI That Evaluates Your YC Startup Idea

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

Analyze stocks with AI equity research, valuations, and swing trade recommendations.
@WingGirlTrader · X
Here is a prime example of how AI is having the day trader look more like an investment portfolio manager. I mean this is exactly what you are talking about. Its here already.. and with vibe coding, it is super low cost. In this case below FREE at

Investigate current grifts and scams using a RAG-powered research tool.
u/King_Kazma · Reddit
whatsthegrift.com - a RAG research tool for today's grifters every day i feel like there's a new grift attached with some news article, which naturally birthed the idea to built something to investigate & visualize them examples: https://whatsthegrift.com/q/777063a64e512565 https://whatsthegrift.com/q/e5945d20375ed3ff and my personal favorite so far: https://whatsthegrift.com/q/f43eb30a15342d53 react (vite) + node (fastify) + brave search (retrieval) + claude haiku (extraction)

Analyze pull requests to understand changes, distinguish important modifications from trivial ones, and identify potential regressions.
logphase · HN
I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t