Wolf Tickets AI

"An AI-powered UFC fight prediction platform that provides detailed analysis of upcoming bouts, with public past results and private predictions for future events behind a subscription."
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wolftickets.ai
Maker: wolftickets
$500/mo (explicitly stated by creator: 'I've finally made it to the $500/month mark')

Marketing Channels

Primary

Word of mouth / Community

Creator gets feedback and ideas from members without having to do advertising, suggesting organic community-driven growth.

Secondary

Hacker News

Shared milestone and project in the HN yearly projects thread.

Growth Levers

  • Publish public track record and accuracy stats to build credibility and attract new subscribers
  • Expand to other combat sports (boxing, Bellator/PFL) to broaden addressable market
  • Create social media content around fight predictions to drive organic traffic before major events
  • Partner with MMA podcasts and content creators for cross-promotion
  • Offer a free trial around major PPV events to convert curious fans into paying subscribers

First Customer Strategy

The creator built at the intersection of two personal passions — AI/ML and combat sports — and grew organically through community engagement, getting feedback and ideas from members without paid advertising.

Pricing Insight

Freemium model: all past prediction results are public (building trust and transparency), while predictions for upcoming events are gated behind a subscription.

Key Takeaways

  • Building at the intersection of personal passions (AI/ML + combat sports) sustains motivation and domain expertise
  • A transparent public track record of past predictions builds trust and serves as a free marketing asset
  • Community-driven growth without advertising is viable when the product delivers measurable value to a niche audience
  • The $500/mo milestone demonstrates that niche AI prediction products can generate meaningful side income
  • Iterating on models and approaches keeps the product differentiated in a space where static predictions lose value

Sentiment Analysis

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