Community capital.
Creators launch coins around ideas. Fees become the starting resource for product experiments and new applications.
Forgel turns creator fees into a product engine — funding AI-built applications instead of leaving the loop idle.
Product revenue is designed to feed value back into $FRGL through market buybacks and burns.
Forgel is a product flywheel, not a promise of returns. Apps can fail. Buybacks and burns depend on actual product revenue and the implementation of the mechanism. Nothing on this site is financial advice.
The structure follows the same simple idea as the reference: one product layer for launching, one for building, and one transparent layer for the value loop. Forgel applies that model to AI-built apps.
Creators launch coins around ideas. Fees become the starting resource for product experiments and new applications.
Capital is directed toward fast, focused products — prototypes first, useful applications next, with revenue as the signal.
When an app earns revenue, the intended loop uses part of that value to buy $FRGL back and permanently remove tokens from supply.
Forgel is designed around a closed feedback loop. The site intentionally separates the mechanism from the marketing: if a product does not earn, there is no revenue to recycle.
The app layer is where the thesis becomes tangible. Products can start as experiments and evolve only when users give them a reason to.
Small applications. Fast iterations. Real users. Revenue becomes the feedback signal for what deserves to continue.
Ideas funded by the community move from concept to working software.
Product output, buybacks and burns should be observable rather than hidden behind a story.
Built on Solana. The token sits at the center of the community, creator economics and the product feedback loop.
Fast, low-friction infrastructure for a community-driven product ecosystem.
The thesis is simple: creator activity funds products, products can create revenue, and the intended mechanism recycles value.
Governance is the coordination layer around the product flywheel. As Forgel grows, this section can expose proposals, parameters and decisions without hiding them behind a dashboard.
Community proposals can define which product ideas deserve experimentation and funding.
Relevant product, treasury and buyback parameters can be documented here as the system is implemented.
Votes, changes and executed decisions can be linked to an auditable public record.
This area is ready for live integrations: contract address, app launches, treasury/buyback events, burn ledger and product status can be connected here as the protocol goes live.
Network layer for $FRGL.
AI-built products are the output layer of the Forgel thesis.
Designed for transparent buyback and burn reporting.
Coins that build apps. Creator fees fund AI-built products. App revenue is designed to buy the coin back and burn it.