
CandyHunt | Airdrop & Anomaly Intelligence | CandyHunt
Detect cryptocurrency airdrops and market anomalies with AI-powered intelligence signals.
@Candyhuntxyz · X
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60 projects

Detect cryptocurrency airdrops and market anomalies with AI-powered intelligence signals.
@Candyhuntxyz · X

AI risk management for Tradovate that automatically blocks orders when triggered by your own risk rules.
@SanuCodes · X
still building-

Track active investors and real-time deal flow across global private markets.
@abumukheimer · X
Find Active Investors for your startup @SheetVenture

Scan crypto tokens for risk analysis using AI-powered detection from screenshots.
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

AI-matched private fundraising platform connecting founders and investors in verified deal rooms.
@hockystick_app · X
A fundraising platform design to close deals-

Browse 24 stock screeners to filter thousands of US tickers and identify trading opportunities.
@serkanglatt · X
Developing — 24 proven stock screeners sift through thousands of US tickers to surface just the few worth your time. Unusual stock options activity, options flow & options-backed signals let you see where institutional money is flowing.

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 sports analytics to inform betting decisions.
@Griffithjade626 · X

AI marketing platform that unifies analytics, automates reports, and schedules AI-generated social posts.
@MrAndyye · X
VikDash is a marketing intelligence platform with Marko AI, it remembers everything and helps with every growth insight as well as users can automate social media posting across platforms in a single click using AI-generated content and bulk scheduling.

Practice intraday trading execution with hidden-date historical market sessions.
u/dodqy · Reddit
Trading Practice Platform I’ve always found it difficult to get meaningful practice outside of market hours, so I built a browser-based replay platform to solve that problem. You choose a stock or ETF, time of day, and up to three indicators, and it randomly loads a historical trading session from the past six months. The goal is to practice taking trades as if they were happening live. It includes: Basic and advanced TP/SL management AI trade reviews with a performance score after each

Scan smart contracts for vulnerabilities and get gas optimization suggestions.
@Ninjafromqueens · X
Hello! I am the founder and owner of Audit your smart contracts before deploying.

Monitor service uptime and get AI-powered incident analysis with instant alerts.
@Alphasf9 · X
Just launched PulseBoard 🚀 Uptime monitoring with AI-powered incident analysis, instant alerts & public status pages. Built with: Node.js • React • Redis • PostgreSQL • Docker Try it free 👇 #buildinpublic #opensource #webdev #SaaS #devtools