hobbescotch · HN

Noema – AI personas debate US listed stocks

@iqbal_saqi2522 · X

- An AI-based Prediction System

@Evelyn_tree1 · X

I built a dashboard that just shows me where global money is flowing. Free public data, rebuilds itself twice a day. Every indicator answers exactly one question. Is money loose or tight? Flowing where? Buying what? Risk-on or risk-off? Crowded? If it doesn’t answer one of these, it doesn’t get a slot on the board. Reading got the same treatment: a hard cap of 45 min/day → 5 RSS feeds + 5 newsletters, each rate-limited (Damodaran: about one post a month). I’d rather miss a few things than let the feed become an anxiety machine. I don’t write code. Claude Code wrote every script — fetch, build, publish, twice a day on cron. I set the rules and keep the judgment; the machine does the running. Personal research notes, not investment advice.

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。

@blackkaide · X

OMNEX: AI that reviews your trades like a coach with no ego to protect — it just tells you where you bleed and how to stop.

@thegetideascout · X

We are building a set of tools for founders who want to stop guessing. Find an idea → pick the right market → validate demand. Before you waste money and time. try it for free here

@luxquantcrypto · X

@adeelimrani · X

@SugraSystems · X

@realYinkaIyiola · X

- conversion-focused ai-enabled analytics

@PythiaAIOracle · X

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market