Show HN: A batch settlement layer for tokenized NYSE stocks

Niumeta posted a Show HN on August 26, 2026, revealing an open-source batch settlement layer for tokenized New York Stock Exchange equities, hosted at github.com/niumeta/niumeta. The project comprises 312 Rust crates and 2.8 million lines of Rust code, with roughly 2 million lines in production, 400,000 in standalone test directories, and 600,000 in in-source test modules, per the author's own description.

The core design, as explained in the HN post, separates order execution from settlement. High-frequency order placement and cancellation continue to run on centralized servers; only the final settlement is committed to the decentralized system, which operates on a 6-second block interval. The author describes this as a deliberate trade-off: the 6-second tick is slow for real-time trading, but it is sufficient for a batch settlement layer, allowing the underlying chain to remain secure and decentralized without needing to process every individual order.

The stated goal is to let users trade tokenized stocks without opening a brokerage account, without paying broker trading fees, and around the clock — 24/7 rather than within NYSE market hours. The project originated, the author writes, from an attempt "to introduce a time dimension to solve the blockchain trilemma," a reference to the long-standing tension in distributed systems between security, decentralization, and performance. Niumeta classifies the resulting network as a "Zero-Trust Network," a category it says is distinct from both public blockchains and consortium chains.

The architecture whitepaper is available at niumeta.com/en/developers/architecture. The author is candid about the project's current state, describing both the codebase and the whitepaper as a "huge ball of mud" — a term of art in software engineering for a system that has grown organically without a clean top-level structure.

The author explicitly flags a significant limitation: the code exists, but Niumeta does not yet have sufficient hardware or network resources to test and optimize it at scale. "For now, it's just boasting," the post reads. No production deployment, external investors, or institutional partners are mentioned in the source material. The project is presented as a technical artifact seeking community review rather than a commercially live product.