FLock.io’s fair launchpad is finally here! The launch of FLock Open Model Offering (FOMO) finalises FLock’s evolution into a full-cycle AI platform with a balanced supply-demand ecosystem.
As a unified interface, FOMO streamlines access to models on our API Platform and provides discounted hosting for AI inference. We welcome all models to fair launch on FOMO – not just ones trained on AI Arena – and get visibility on platform.flock.io.
Celebrating one year of mainnet operations, FLock has built a robust network of high-quality models and engineers. As the world’s leading decentralised AI (DeAI) infrastructure, we’ve been busy building a complete flywheel: AI Arena, FL Alliance, API Platform and native token $FLOCK bring the supply, and now FOMO brings the demand.
Read our other blog to learn more about how our franchise model leverages the token economy to disrupt pricing – solving the cost floor problem that hampers traditional cloud and gateway providers.
It’s all been leading up to this launch, and we couldn’t be more proud. Read on to find out more about getting started on FOMO.
Who should launch their model tokens on FOMO?
Anyone is welcome to launch model tokens in exchange for hosting services on the FLock API Platform – not just models trained on our flagship training platform AI Arena (train.flock.io).
If you have strong sales capabilities, the franchise model will play in your favour due to $MT appreciation. You can sell the model hosted to your network. Any company that uses AI on a daily basis will also benefit from joining FOMO for its guaranteed cost efficiency.
Step-by-step: FOMO launchpad and API revenue flow
Users currently relying on major cloud or gateway providers for AI model APIs can use FOMO to initiate a fair launch for their model needs in exchange for hosting services. Following a successful launch, the model will be hosted on the API Platform, allowing for seamless integration and usage at a discount.
This is a high level step-by-step of the FOMO launchpad and API revenue flow:
1) Launch Initiation
Real Model Asset (RMA) issuers and supporters officially initiate the issuance of Real Model Assets on the FOMO Launchpad by raising $FLOCK.
2) Hosting & Tokenisation
Upon successful issuance, the model will be hosted on the FLock API Platform for external access. Simultaneously, the corresponding Model Tokens ($MT) will be minted.
3) Revenue Allocation
Revenue generated from model usage will be distributed across four channels:
- $MT buyback and burn.
- $FLOCK buyback.
- RMA revenue sharing.
- Payment for future model hosting costs.
4) Token Utility.
Users who stake $MT enjoy two key benefits:
- Usage Discounts: Discounts on model calls (calculated based on a function of the user's staked amount to the total circulating supply).
- Staking Rewards: Earning additional $MT through staking.
5) Early Incentives
During the initial launch phase of a model, the platform will distribute additional $FLOCK as rewards to users staking that specific model's $MT, based on actual usage volume.
Example case study: how launching a model on FOMO works
To illustrate the financial mechanics of the FOMO launchpad and the resulting value accrual, let’s walk through a scenario: User Alice launches a high-utility model, “QwenALICE”.
Phase I: The Successful RMO Launch
Alice initiates her offering, successfully raising the predetermined amount in $FLOCK and selling all sale tokens. This capital is immediately deployed: a portion funds the initial DEX Liquidity Pool, ensuring the $QwenALICE asset is tradable and liquid post-launch, while the rest secures operational runway and staker rewards. The launch is risk-mitigated, as funds are only secured if the minimum goal is met.
Phase II: The Deflationary Revenue Waterfall (Month 1)
In its first month, QwenALICE generates Net Revenue (profit after compute costs). This profit immediately drives value through the Revenue Waterfall:
- Model Buyback & Burn:
A portion of the Net Revenue is used to buy $QwenALICE from the open market and permanently burn it. This ensures utility (usage) directly translates into asset appreciation via reduced supply for token holders.
- Protocol $FLOCK Buyback:
A portion is used to buy the macro $FLOCK token and these $FLOCK tokens will be utilised for ecosystem growth and further incentivisation, ensuring model utility fuels the deflation of the entire network's core asset.
- RMA Operational Yield:
A portion is distributed to Alice as direct cash flow, incentivising her to drive further adoption.
Value Captured by Alice (The Franchisee)
Alice’s investment delivers three streams of value. Namely cash flow (operational yield), asset appreciation (her vested tokens rise in value due to the buyback-and-burn mechanism) and token yield (she receives a large share of the daily $FLOCK emissions, which are weighted based on the model's high revenue and favorable Age Factor).
This proves the model delivers predictable financial returns driven by real-world AI consumption.
More about FLock.io
Find out more about FLock.io by reading our docs and blogs. See a sneak peak of new launches coming in Q4 2025 and our FLock 2025 earnings report: performance & growth overview. Stake, train and earn on train.flock.io.
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