Earn while you code
Keep 70% of the revenue when your approved sessions are licensed as AI training data. Withdraw as USDC on Base.
Digg runs quietly while you code with Claude Code, Cursor, or Codex. Secrets and PII are stripped on your machine, then you keep 70% when your approved sessions are licensed as AI training data. Paid in USDC.
Every day you generate exactly the data AI labs need to train coding agents, and then it's deleted. Digg captures it consent-first, cleans it on your machine, and shares the revenue with you.
Keep 70% of the revenue when your approved sessions are licensed as AI training data. Withdraw as USDC on Base.
Secrets, PII, and your username in file paths are removed on your machine before anything uploads. You get a receipt of exactly what was stripped.
Choose which repos are captured, review every session, and share or delete anything, anytime.
One command to install. Nothing changes about how you code.
One command adds a VS Code or Cursor extension. Sign in and capture starts on its own.
Keep using Claude Code, Cursor, or Codex. Digg only records the sessions you approve, nothing else.
Secrets, PII, and your username are stripped on-device, then a server re-scan double-checks before anything is stored.
When your sessions are licensed to AI teams, you keep 70%. Track it on your dashboard and cash out in USDC.
Live for Claude Code and Cursor today. Digg Light and team plans extend it to more of your workflow.
An opt-in extension for Claude Code, Cursor, and Codex. It turns the sessions you approve, prompts, tool calls, edits, tests, and outcomes, into clean training data and shares the revenue with you. Nothing changes about how you code.
The other side of the network: when developers approve their sessions, AI teams license clean, privacy-filtered training and evaluation assets.
Validated task trajectories: context, tool calls, corrections, and successful outcomes.
Reproducible tasks with reference outcomes and executable verification, real reward signal, not self-report.
Resettable environments across repos, terminals, and APIs, with observable state and measurable completion.
Time-ordered actions, state changes, retries, corrections, and completion signals.
Model-ready assets, never raw activity. Every asset is explicitly approved, privacy-filtered, and provenance-tracked. Partner with Digg →
Digg strips secrets and PII on-device, shows you a receipt of what was removed, and only uploads the sessions you approve. Delete anything, anytime.
Install Digg, keep coding the way you already do, and get paid when your approved sessions are licensed. Your secrets stay on your machine.