Pay3 L1 is in active development — a single-node testnet prototype runs today, see Run It Yourself.
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Design

Design Goals

Speed, security, and low fees are in real tension with each other — the blockchain trilemma also includes decentralization. Here's where Pay3's architecture actually spends its engineering effort.

The trilemma, briefly

Every chain trades off between speed, security, and decentralization to some degree — claims of having "solved" it are usually marketing. Pay3's stance is to be explicit about where the levers actually are, rather than pretend they don't exist.

Consensus mechanism

Classic Nakamoto consensus (proof-of-work, longest-chain) gives probabilistic finality — you wait for confirmations to feel safe. Modern BFT-style proof-of-stake consensus gives deterministic, sub-second finality: once two-thirds or more of staked validators sign off on a block, it's final, full stop. Since fast, deterministic settlement is a core goal for Pay3, a pipelined BFT-style consensus is the starting point, not anything proof-of-work-based.

Today's testnet doesn't run this yet — a single process seals blocks on a timer with no validator voting at all. See Current Limitations.

Parallel execution

The single biggest lever for throughput. Instead of executing transactions one by one, the execution layer is designed to analyze which transactions actually touch overlapping state and run the non-conflicting ones across CPU cores simultaneously. This general approach — Solana's Sealevel and Aptos's Block-STM are two well-known examples elsewhere in the industry — is what Pay3's execution layer is being built around, rather than a strictly sequential EVM loop.

Fee design

"Low fees" mostly falls out of throughput: the same demand spread across a much higher transaction-per-second ceiling means a much lower price per transaction in a fee-market model. Some anti-spam mechanism is still necessary — a fee, however small, or stake-weighted rate limiting — or the mempool becomes trivially spammable. Pay3 targets fees low enough that everyday transfers don't require thinking about gas at all, as a direct consequence of the throughput and parallel-execution goals above, not as a separate subsidy.

State growth & decentralization

More throughput means more state written per second. If state grows unbounded, the hardware required to run a node climbs, and fewer people can afford to validate — quietly recentralizing a chain that calls itself decentralized. State pruning and expiry are being treated as a day-one design constraint for Pay3, not a patch to add once it becomes a problem.

Validator key security

The same key-custody problem that matters for wallets exists on the other side of the network: validator signing keys are a prime target. Production-grade chains isolate them behind HSMs or secure enclaves rather than leaving them as a plain file on a cloud VM — that's the bar Pay3's validator infrastructure is being designed against, well ahead of when a real validator set exists.