About Promethean
We build the platform so the alpha can ship.
Promethean is a two-sided ML trading platform — institutional-grade infrastructure on one side, a curated marketplace for retail investors on the other. We built it infrastructure-first, because quality compounds and garbage strategies ruin reputations.
The thesis
The institutional stack, opened to everyone.
For two decades, the tools that produce real trading edge — feature stores, reproducible pipelines, model registries, point-in-time-correct backtests — have lived inside a handful of quant funds. Retail got the opposite: slot-machine apps optimized for engagement, and robo-advisors that sell you the market average with a fee on top.
Two-sided marketplaces live or die on the quality of what's sold. For trading strategies, quality means reproducibility, risk transparency, and honest track records — none of which exist in today's retail landscape. So we built the institutional stack first, then put a curated marketplace on top of it. Developers get paid for what they ship. Investors get transparent, audited access to real algorithms.
That ordering is the strategy. Infrastructure quality compounds into a moat that a flashier front-end never can.
Founder
Built by people who've shipped this before.
Tim isn't alone — Promethean was shaped by a founding crew of engineers and operators. Meet the team →
How we build
Principles, not slogans.
A small set of commitments that shape every decision — from the database we picked to the fee split we publish.
Reproducible or it didn't happen
Every run pins code, data, and environment. A track record you can't reproduce is marketing, not evidence.
Rust-first, all the way down
Business logic lives in Rust; thin bindings expose it. Correctness and performance are not a later optimization.
Aligned incentives
Developers keep ~70% of performance fees. We win when their strategies actually perform — not when users churn.
Transparency by default
Honest, point-in-time track records and clear risk disclosure. No survivorship bias, no curve-fit screenshots.
Infrastructure before hype
We shipped the feature store, pipelines, and registry before announcing a marketplace. Substance compounds.
Build in the open
We talk to developers and investors directly, ship in public, and onboard in waves rather than overpromising a launch.
Where we are
Everything, running.
The full stack is live — the infrastructure is real and running, and the marketplace is open.
Ember feature store, server-side
Declarative datasets, reactive pipelines, hybrid BM25 + vector search, tensor data over Arrow Flight, git-style branching. Materializes server-side — not a library.
Forge pipelines + Model Registry
@pipeline DAGs with a full reproducibility contract, ClickHouse-backed metrics, hyperparameter sweeps, and immutable versioned models with complete lineage.
Remote execution on Ray
Submit a pipeline, the platform packages it, spins up a RayJob, streams logs and events back over WebSocket, and persists run status. End-to-end working.
Web app + in-browser dev environment
Dioxus/Rust/WASM app with collaborative in-browser workspaces on managed Kubernetes, live DAG visualization, and IdP-agnostic multi-tenant auth.
Backtesting + paper trading
Point-in-time-correct slippage, realistic fills, and competitive leaderboards. Running today.
Marketplace + execution layer
Algorithm storefront with vetting, the investor app, exchange adapters, risk controls, and profit share — all live.
Founding team
Small team, big surface area.
Promethean is early. We're looking for a few people who want to build institutional-grade systems from the ground up — Rust-first, server-side, no legacy. These are the shapes of roles we're growing into, not a fixed org chart.
Distributed Systems / Rust
Execution engine, scheduling, and the runtime that makes "commit" turn into trained, deployed models.
Quant Research / Strategy
Backtesting fidelity, risk models, and the vetting bar that protects the marketplace's reputation.
Full-Stack / Dioxus
The developer experience and the investor app — the surfaces where the platform meets people.
Interested in building this?
We're not posting a careers page yet — we're talking to people directly. If this is the kind of thing you'd want to help build, email tim@cryptex.ai and tell us what you'd want to own.