
Football Trading Software & Workspace · FootyMonitor
Football trading software with pressure graphs, market movement analysis, bet logs, and match backtesting.
@KSertttttttt · X
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Football trading software with pressure graphs, market movement analysis, bet logs, and match backtesting.
@KSertttttttt · X

Answer market research questions using AI analysis of social media data with evidence-linked insights.
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.

Dashboard that consolidates sports betting reports from multiple bookmakers without manual data entry.
u/Beginning-Eagle-1957 · Reddit
A coworker who likes betting told me he tracked everything in Excel. 7 months of development later, it became a SaaS. I work as a Data Analyst at a private equity bank. In January a summer intern joined who did a lot of sports arbitrage betting, placing bets across multiple bookmakers at once to lock in profit from the odds difference. I asked him how he kept track of it all, and he said it was just Excel, because nothing built for that actually existed. That idea kept nagging at me, and that

AI predictions, live scores, odds, and simulations for 2026 World Cup and top leagues.
@kmlyyll · X
now speaks #MCP. Ask any AI agent about World Cup 2026 fixtures, team stats, or match predictions: Live data, not scraped guesses. Also shipped: Link headers, an #API catalog, #WebMCP, and a #Claude Code plugin. Made in Cambridge with a lot of love and passion.😍

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

Upload your pitch deck to score investor-readiness and connect with 10+ accelerators.
@mehulshahca · X
1/ You already have a pitch deck. What’s next? I met Megan at @networkschool. She taught me vibe coding. 10 days later, I shipped a new startup venture: Humans of Network School #03 🧵

AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks

Place predictions on future outcomes across politics, sports, and crypto on a BNB-native prediction market.
@JfwRk · X
预测市场最贵的,从来不是判断错。 而是当你发现异动时,聪明钱已经买完了。 所以,我做了一个双平台工具: 「信号罗盘」 Polymarket 500 个热门盘口 500 个热门盘口 两边各 50 个聪明钱地址 异动热度、收益曲线、每日评级和近期操作逻辑,全部放在同一个页面。 它不是喊单网站,也不承诺收益。 我们只想把分散的信息,变成更早、更清晰、可以验证的交易信号。 目前免费开放测试。 你最希望下一个加入什么功能:地址提醒、跨平台价差,还是聪明钱跟踪? #Polymarket #Predict #预测市场

Find statistical edges in Kalshi weather prediction markets with data-backed analysis.
@WingGirlTrader · X
Because the edge is in trading weather markets. And the is a free tool that provides real edge almost daily in temperature bets. And it's FREE

Upload a CAS PDF to get AI portfolio analysis with benchmark comparisons and allocation insights.
@iASHeeesh · X

A dashboard for traders to replay trades, analyze behavior patterns, and optimize their trading system.
@Crypto77qi · X
最近一直在@dappOS_com上体验 @xBubble_ai 的 Coding,这两天我给自己做了一个 AI Trading Replay(AI 交易复盘助手)。 👉 做交易时间越久,我越觉得,真正拉开差距的,并不是找到更多交易机会,而是不断减少重复犯同样的错误。 现在币圈已经有很多成熟的交易工具,行情、链上数据、资金流向、技术指标几乎都能找到对应的平台。但这些工具更多是在告诉我们市场发生了什么,却很少帮助我们分析,为什么面对同样的市场,每个人最终的交易结果却完全不同。 有时候并不是没有机会,而是因为犹豫错过了;有时候方向看对了,却因为害怕提前离场;还有时候连续几次亏损之后,下一笔交易开始变得犹豫,最终又错过真正的行情。 这些问题,并不是增加一个指标或者再多看一份数据就能解决。 所以我没有继续做一个新的行情工具,而是直接用 xBubble Coding 做了一个 AI 交易复盘助手。 它不会预测市场,也不会告诉我什么时候买卖,而是把每天的市场变化、自己的交易记录和决策过程整理下来,通过 AI 自动分析哪些判断是正确的,哪些错误一直在重复发生,并生成每天、每周的交易复盘,让整个交易过程形成一套可以不断优化的闭环。 整个开发过程也比我想象中轻松很多。 没有写代码,没有配置服务器,也没有部署环境,只需要把自己的需求描述清楚,一个可以直接访问的网站很快就搭建完成了。从原来的一个想法,到真正变成可以使用的产品,中间几乎没有任何开发门槛。 我觉得,这也是 xBubble Coding 最有价值的地方。 它并不是让大家重复开发一个市面上已经存在的软件,而是让每个人都能把自己的经验、工作习惯和思考方式快速变成真正属于自己的工具。 未来真正有价值的,或许不是拥有越来越多标准化的软件,而是每个人都能根据自己的需求,打造一个最懂自己的 AI 工作伙伴。

Backtest investment strategies, track portfolios, and analyze markets with AI assistance.
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。