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Console One

One console for all of software development: editor, deployments, marketplace. I joined as Head of Business Development and worked across the product through three years of iteration.

Console One — editor, AI, and deployments unified in one workspace.
Console One — editor, AI, and deployments unified in one workspace.

Tests running, deployments firing, docs writing themselves. The dashboard made the automation legible — and surfaced the one moment still needing a human: a credential, a decision, a blocker to clear.

The automated workspace — deployments, tests, and docs firing in real time.
The automated workspace — deployments, tests, and docs firing in real time.

Every deploy in one timeline — production, preview, rollback — without leaving the console. No separate git workflow; the kernel tracked state continuously, so the history was always current.

Deployment history — production, preview, rollback in one timeline.
Deployment history — production, preview, rollback in one timeline.

The marketplace lived inside the editor. Lambda, OpenAI API, Stripe Checkout — import in one click, and the kernel managed versioning in the background. The whole point: anyone can build on what already exists.

The marketplace — Lambda, OpenAI API, Stripe Checkout, one-click import from inside the editor.
The marketplace — Lambda, OpenAI API, Stripe Checkout, one-click import from inside the editor.

Publish a component, watch it earn. The seller dashboard tracked usage and earnings for every listing in real time — and turned building into shipping into revenue in one flow.

Seller Dashboard — earnings, active users, and published listings in one view.
Seller Dashboard — earnings, active users, and published listings in one view.

Once something deployed, this screen tracked it: data transfer, edge requests, CPU. Every product published through Console One had an operational view built in.

Usage — data transfer, edge requests, and CPU tracked after every deploy.
Usage — data transfer, edge requests, and CPU tracked after every deploy.

Three years building, then a clean pivot. The team found the real bottleneck wasn't writing code — it was communication and lost context. That realization became StoryLens.