Show HN Promo: AI Stock Prediction Leaderboard
A Show HN launch post for a public leaderboard where humans and AI models submit stock, ETF, and crypto direction predictions with immutable timestamps. Describes a product launch, not a user pain point.
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Deep Analysis
Root causes, cross-domain patterns, and opportunity mapping
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Solution Blueprint
Tech stack, MVP scope, go-to-market strategy, and competitive landscape
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Similar Problems
surfaced semanticallyGap Between Informal Predictions and Actionable Prediction Market Trades
Retail participants in prediction markets often have directional views on future events but lack the knowledge or tooling to map those views onto specific tradeable contracts across platforms like Kalshi or Polymarket. The cognitive gap between 'I think X will happen' and 'here is the specific contract and position size that reflects that belief' causes potential traders to stay on the sidelines. This friction is compounded when predictions could translate across multiple asset classes — equities, options, and prediction markets simultaneously.
Launch: FutureSearch Exits Beta as a Verifiable AI Forecasting Service
FutureSearch announces its exit from public beta, positioning itself as a top-ranked AI forecasting system for scientific, geopolitical, and general future-outcome questions, including new support for conditional decision forecasts. This is a product launch announcement rather than a user-reported problem.
Single-Perspective AI Stock Analysis Gives Generic Advice
Retail investors get wishy-washy answers from single-AI stock analysis tools. Multi-agent debate systems with diverse trading personalities (momentum, value, macro) provide richer, more nuanced market perspectives with persistent memory and evolving strategies.
Autonomous Make-Money Agent - 200-Run Results Recap
This entry shares results from running an autonomous AI agent hourly for about 200 runs to attempt generating income, framed as a build-in-public update rather than a description of a specific user problem. No explicit pain point is stated in the available text.
Crypto trading call track records lack honest, non-backfilled verification
Followers of crypto trading signal providers are commonly shown only hindsight-confirmed wins, with no way to verify entries, targets, and stop-outs against real-time price data as they happened. The poster built their own verifier to timestamp calls against live candles and admit when a setup never triggered, underscoring that trustworthy call verification is largely absent in the space.
Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.