Interview

Richard Wang on Clad Labs' 'Chad IDE': subsidizing AI coding tools with affiliate ads and gambling integrations

Dec 3, 2025 with Richard Wang

Key Points

  • Clad Labs' Chad IDE subsidizes AI coding tools by embedding affiliate ads directly into the development workflow, converting tool selections like Supabase backends into revenue events rather than display banners.
  • Gambling integrations on Chad IDE came from direct user requests for activities during code generation wait times, with Wang defending the feature against enterprise concerns by pointing to incoming requests for productivity tools like Notion and Jira.
  • Chad IDE reached 11,000 waitlist users and generated $30,000 in ad revenue while still in beta, with demo day attendees receiving immediate access codes.
Richard Wang on Clad Labs' 'Chad IDE': subsidizing AI coding tools with affiliate ads and gambling integrations

Summary

Richard Wang, CEO of Clad Labs, is building Chad IDE, a coding environment that subsidizes AI code generation through affiliate advertising — including gambling integrations — to offer developers access to state-of-the-art models at little to no cost.

The core model is straightforward: ad revenue offsets the cost of compute, so developers get free or heavily discounted AI coding tools. The most technically interesting version of this is AI-native advertising, where the ad placement is contextual rather than display-banner. Wang gives a concrete example: if a developer chooses Supabase as a backend during code generation, that selection itself becomes a conversion event for the affiliate. The ad is embedded in the workflow, not bolted onto the side of it.

The gambling integrations — Rainbet and Stake are both named — came directly from user requests. Developers asked for something to do during generation wait times, and Wang built what they asked for. He frames this as standard YC methodology: talk to users, ship what they want, iterate. Educational videos are also available as an alternative during generation time.

The product generated some controversy ahead of launch, with questions about whether gambling integrations are appropriate for a developer tool used inside companies. Wang's counter is that several enterprise teams have proactively reached out asking for productivity integrations — Notion, Jira — rather than complaining about the gambling features. His position is that the consumer product comes first, and enterprise use cases open up from there.

Traction as of demo day: 11,000 on the waitlist and $30,000 in revenue from ads, with the product still in beta. Demo day attendees were being given access codes on the spot.