Original Summary

I'm the solo dev. Sharing because the most useful feedback I've had so far came from Reddit, and it changed how I describe the thing. What it is: a learning app for people starting to pick individual stocks. Every US stock gets a 0–100 score built from plain maths (technicals, fundamentals vs sector medians, sentiment). An AI council then explains the bull and bear case in different styles (value, growth, momentum, risk). There are 160+ short lessons with quizzes, and paper trading so you can test your read without real money. No buy/sell calls, no performance claims. My first pitch said "20 AI analysts debate every stock". Someone on r/ai_trading pointed out that personas on one model share the same blind spots, so a lot of that disagreement is just wording. Fair. The score is the part that has to earn trust, so I'm adding daily score history to test whether high scores actually beat low ones over the following month. I'll share the result either way once there's enough data. 3-minute demo of the live app: https://gettickr.ai/demo?c=reddit_sideproject Feedback I'd love: does "one score, explained from several angles" make sense to you in a few seconds, or does it still read like another AI stock picker?   submitted by   /u/seviniryusuf [link]   [comments]

  • 情报分类：硬件与数码
  • 分类依据：内容涉及硬件、数码产品或通信卡
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/15 20:38:15