ValueFlow v2.0: End-to-End Monetization Analytics
ValueFlow receives a major update with multi-platform data aggregation, AI-driven revenue attribution, and custom dashboards.
ValueFlow v2.0 is out. It is the largest release since the project began, and it concentrates on three things: broader data, smarter attribution, and more control over the analysis surface.
More platforms
v2.0 adds Lemon Squeezy, Buy Me a Coffee, and Patreon alongside Stripe and Paddle. More important, the data-source plugin interface is now public. Any developer can write an adapter for their own payment provider and ship it without waiting for us.
Attribution that learns
The old attribution engine was rule-based. The new one adds a lightweight model that estimates the relative contribution of channels and content types to a conversion. It is trained on a public creator-economy dataset, then fine-tuned locally on each deployment, so the result reflects the operator’s own audience rather than a generic benchmark.
Dashboards that fit the business
Drag-and-drop layout, custom metric formulas, and shared team boards bring enterprise BI ergonomics to independent creators. No new pricing tier: the features are in the open-source release.
Upgrade
The full changelog and migration guide are in the repository. The data model is backward compatible; existing dashboards keep working.