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NegativeEV

I built a tool to help people see how bad their bets are

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HN · launched Jul 30, 2026 · 6 upvotes (top 71%) · 0 views

Niche: sports betting and analytics platforms · 111 launches, 18 in the last 7 days ▲ +38% · Explore this niche →

Category and tags
  • Horizontal
  • Analytics & BI
  • B2C
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

More like this: all 111 launches in sports betting and analytics platforms →

Could you build this?

Partial While the web app, OCR/text input, and expected value comparison UI are straightforward, running accurate thousands of play-by-play full-game sports simulations requires calibrated quantitative models and proprietary historical sports data.

What it would actually take: The architecture requires an OCR service (e.g., GPT-4o or Tesseract) to parse bet slips, coupled with a simulation engine built in Python/C++ running Monte Carlo game state transitions for major sports leagues. The hardest part is sourcing licensed play-by-play event feeds and training realistic, calibrated team/player predictive models that accurately simulate game distributions rather than naive stat lookups.

Discussion

5 comments analyzed.

Concerns raised: Tool's purpose unclear to casual users without domain knowledge, Heavy use of unexplained abbreviations and jargon, Unclear target audience and positioning on front page, Prediction accuracy is inherently limited in sports betting

Feature requests: Clearer explanation of what the tool does upfront, Better onboarding for non-heavy users/casuals, Reduce unexplained abbreviations in examples and documentation

Competitors

Other products that read as similar to this one : 482 launches clear the similarity bar, closest 8 shown.

Attention rank: #353 of 483 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 274 days after the earliest competitor.

Related data

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