Creators & Backers
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Creators and Backers fuel DeepNode’s innovation engine. Creators build and register models, while Backers fund model development in order to gain a share in their upside.

See Stakers, Backersfor a more in depth description.
The creator–backer incentive system follows a structured loop:
Creators raise funding from backers, who provide:
USDC through a funding contract
Optional SAFE-like agreements representing % equity or future revenue
Optionally place their capital into yield aggregators while the model is being developed (c%
Creators use funding to:
Train or improve models
Tune performance and datasets
Prepare them for miner execution
When registering a model, creators:
Set royalty rates (b%)
Specify revenue splits to backers (a%)
Provide metadata, constraints, and performance parameters
Publish it into the domain so miners can begin processing tasks
As usage grows, models become revenue-producing assets.
When consumers run inference tasks:
Revenue flows into the Revenue module
A portion goes to creators (b%)
A portion returns to backers (a%)
A portion routes to payment processors (y%)
If funding yield was enabled, a portion (c%) routes to yield aggregators
This creates a feedback loop where model quality → usage → revenue → reinvestment.
Creators can continuously improve their models:
Updating versions
Retraining
Refining datasets
Enhancing performance
As a model improves, usage increases → revenue scales → the creator/backer partnership becomes more valuable.
The diagram includes two fixed flows:
1% to Buyback & Burn → permanently reduces $DN supply, increasing long-term scarcity
1% to the Foundation → funds grants, domain expansion, research, and infrastructure
These fees ensure that model growth directly strengthens both the economic and technical foundations of DeepNode.
Creators and Backers are critical to DeepNode’s long-term success. They:
Introduce new models and services into the network
Attract real usage and organic fees
Make model ownership publicly available
Create competition and innovation among models
Tie economic incentives to performance and quality
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