ALA

ALA is a Crowdsourced Market Maker built on Uniswap v4 that transforms liquidity management into a collaborative intelligence network. The platform allows data scientists to submit models that determine how a pool adjusts fees, manages output deltas, and reallocates liquidity through rehypothecation. ALA provides a unified on chain dataset with historical swaps, pool transitions, and LP positions, all prepared for model development. It also includes a testing environment where contributors can measure how their models would have performed against default Uniswap behavior.

Validated model decisions are combined and executed inside ALA Pools which are Uniswap v4 pools equipped with advanced hooks capable of applying dynamic fees, controlled deltas, and liquidity movements. Liquidity providers simply deposit into these pools and benefit from optimized performance generated by the collective intelligence of many independent models. Data scientists earn rewards based on pool volume and the impact of their model. ALA creates a new type of market maker where liquidity is continuously improved by an open community working with shared tools, shared data, and shared incentives.

We built ALA as a fully modular, multi-layer system. First, we created a data layer using The Graph to pull raw on-chain data from Uniswap subgraphs, and a SQL generation layer where a LLM takes natural-language prompts, converts them into executable AMP SQL queries, validates their schema, and automatically runs them against AMP datasets. This gave us an extremely hacky but powerful “query compiler” that turns high-level research questions into precise, optimized data extractions in seconds.

That feeds into our test layer and model simulator, which run block-level backtests for dynamic fees, deltas, and rehypothecation strategies. The results flow into a router layer that coordinates model decisions, and finally our ALA Pool blockchain layer, which implements the Uniswap v4 hook logic. All components communicate through lightweight APIs.

We also built a frontend prototype to showcase the user experience of future ALA-powered liquidity strategies. Long-term, we plan to ship an SDK so developers can integrate and customize ALA with an exceptional DX.