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$1 first week

For Modelers

The complete creator guide — build, ship, and earn from your models on Shark Snip.

Shark Snip gives model builders a browser-based workspace for building, testing, publishing, browsing, forking, and remixing sports models.

At a glance

  • Build and backtest on your own device for free.
  • Browse public models and inspect their live track records.
  • Fork architecture and features, then remix and retrain with your own data.
  • Pro is $1 for your first week, then $2.99/week (launch offer through March 1, 2027). There is no monthly or annual plan.

Build for free

Choose inputs, configure a model, train it in the browser, and evaluate it with walk-forward backtests. On-device training is free.

Publish a public model

Publishing can make a model's description, architecture, selected features, and verified performance visible to other users. Review the preview before publishing and keep private data out of public fields.

Published models may contribute to Consensus when they meet its eligibility rules. Their predictions and outcomes create a public track record so visitors can evaluate calibration, sample size, and recent results.

Browse, fork, and remix

A public model can be used as a starting point:

  1. Browse its model card and track record.
  2. Fork its architecture and feature choices.
  3. Change the configuration or inputs.
  4. Retrain and backtest the fork with your own data.
  5. Keep the result private or publish it.

Forking does not copy trained weights or private data. Attribution and the public fork tree preserve the relationship to the source model.

Consensus and tournaments

Eligible public models can contribute to Consensus, where verified performance affects weighting. Pack Breaker tournaments provide another way to test a model against a fixed slate and visible scoring rules.

AI and cloud compute

Pro costs $1 for your first week, then $2.99/week (launch offer through March 1, 2027) and includes unlimited model training and cloud compute. Model training on your own device remains free on Free, too.

Responsible publishing

  • Use data you have permission to use.
  • Do not expose credentials, personal data, or private datasets.
  • Describe methods and limitations honestly.
  • Do not claim guaranteed outcomes.
  • Keep individual wagering decisions under your own control.

Support

For model-building help, email support@sharksnip.com.