Aptos

Aptos is a proof-of-stake Layer 1 built by engineers from Meta's Diem project, using the Move programming language and a maximum supply of 2.1 billion APT. Its central claim is that most smart-contract losses are language problems, and that a language designed around asset safety prevents entire bug classes.

Move treats assets as a distinct type

In most contract languages a token balance is a number in a mapping, and errors let that number be duplicated or lost. Move represents assets as resources that cannot be copied or silently discarded — the compiler rejects code that would do either. A large share of historical exploits were exactly this kind of accounting error.

Parallel execution with optimistic conflict detection

Aptos executes transactions simultaneously and detects conflicts afterwards, re-running only those that actually collided. Unlike designs requiring transactions to declare their dependencies in advance, developers do not have to reason about parallelism — the runtime handles it, and the benefit only disappears when transactions genuinely contend for the same state.

Supply is capped and unlocks are scheduled

The 2.1 billion maximum is fixed, with staking rewards issued against it. Allocations to the foundation, core contributors and early investors vest on published schedules, so the increase in tradeable supply over time is knowable rather than discretionary. Any assessment should read that schedule directly.

The Diem inheritance

The engineering lineage traces to a project built to bank scale under regulatory scrutiny, which shows in the emphasis on formal verification and upgradeability. It also means the design assumptions came from a permissioned context and were adapted to a public chain rather than conceived for one.

What it has to prove

The technology is credible and the competitive question is adoption: developer mindshare, liquidity and tooling overwhelmingly sit with the EVM, and Move requires learning a different model. Aptos has to demonstrate that the safety gains justify leaving that ecosystem.