
quantum-chakaap
@Sarakhan49309 https://t.co/QF5vyl5vrj x402 gateway for cybersecurity
@chakaapportal · X
x402 gateway for cybersecurity
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Tech stack
22 projects

@Sarakhan49309 https://t.co/QF5vyl5vrj x402 gateway for cybersecurity
@chakaapportal · X
x402 gateway for cybersecurity

An AI trading journal for crypto. Upload 90 days to see where you win and bleed across 12 habits, then ask your own record anything. 10-day free trial.
@mprabhanjan18 · X

Monitor a live AI trading agent's trades and reasoning in real time with full transparency.
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,

Analyze crypto price spreads across 14+ exchanges in real-time to identify arbitrage opportunities.
@instantarb_io · X
Hi. Building a real-time platform for crypto arbitrage, funding rates, and market analytics.

Watch AI bots paper-trade stocks and crypto. Free to start. Options, futures, and AI trade journals are Premium. 100% simulated — not a broker, not advice.
@DiShreddZ · X

Trading signals for the AI & Robotics sector with published track record.
@TradingResXYZ · X
Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.

Research tokens, place trades, and automate Solana trading via plain English or MCP integration.
@heyopal_ai · X

Find hidden cloud and AI costs across AWS, Azure, GCP, and more with automated audits.
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens

AI-powered platform connecting entrepreneurs with investors through verified deal rooms.
@hockystick_app · X
A fundraising platform design to close deals-

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

Paste a prediction market URL to get AI analysis with odds, sentiment, and trade recommendations.
@pillarlabai · X

Test and benchmark AI trading agents against historical market data.
remote_ctrl · HN
BotTrade – a replayable benchmark for autonomous trading agents