Player profile
Superset
A local code editor and control plane for running many CLI coding agents in parallel across isolated git worktrees.
Profile
Where it fits
Superset is a code editor for AI agents that orchestrates Claude Code, Codex, OpenCode, Cursor Agent, Gemini CLI, and other terminal-based coding tools.
It belongs in Open Orchestrators because it treats coding-agent work as a parallel local operating surface: each task can run in an isolated git worktree while the operator monitors progress, reviews diffs, and opens workspaces in their editor.
Builder web analytics
Measure projects built with Superset
Superset helps builders ship more quickly with parallel coding agents. Agent Analytics gives the follow-up agent visitor, source, funnel, and conversion data to judge whether the shipped branch helped users.
Install Agent Analytics on the project surface Superset helps you ship. The branch, worktree, or agent setup is secondary; the useful loop is that a later agent can read user behavior after the change lands.
First loop to measure
- a builder uses Superset to ship a page, docs update, onboarding change, app screen, demo, or growth experiment
- the deployed surface reports visits, sources, signup, activation, retention, funnels, and conversion events to Agent Analytics
- a follow-up agent fetches the Agent Analytics results and compares the changed path with the prior period
- the builder decides what to improve next from user behavior, not from implementation details alone
Copyable prompt
Use Agent Analytics for this project. If event reporting is missing, add the tracker and report events for this project surface, including page, traffic source, signup, activation event, funnel step, retention signal, or growth experiment. Verify events are arriving. Then fetch the last 7 days and compare them with the prior 7 days. Tell me which page, traffic source, signup, activation event, funnel step, retention signal, or growth experiment moved users toward value, where users dropped off, which sources mattered, and what my agent workflow should improve next.Related