Cross-chain, oracles, and off-chain computation are all buying 'credibility'. Stop using screenshots to prove what you've done; PROVE turns 'I did' into 'I can prove' using zero-knowledge. The direct benefits are reduced trust surfaces, controllable costs, and reusable validation.

The tech stack is centered around zkVM, compiling general languages (like Rust) into circuits; recursion and aggregation break down large tasks and recombine them, synchronously reducing unit costs and gas fluctuations; lightweight validators are deployed on target chains, and cross-chain lightweight clients bring external states into the chain reliably. Developers generate and validate through API requests without needing to build their own circuits and proof systems, transforming delivery from 'research projects' into 'engineering products'.

To judge whether it's 'industrialized', look at hard metrics: unit proof cost, end-to-end latency, validation failure rates, batch validation throughput, on-chain call frequencies, and customer retention. If these six metrics continue to improve, the scaling of cross-chain messaging, intent execution, oracle enhancement, and privacy computing will have a solid foundation. For the business side, cost predictability and latency stability are more important than 'theoretical optimum'. #SuccinctLabs @Succinct $PROVE