@bananagun @RobinhoodApp

If a major chain goes down, Kolme apps don’t. Core logic stays live on your chain.

One app, many ecosystems. Kolme connects to Ethereum, Solana, NEAR and more, without rewrites.

As financial systems become more interconnected, understanding system behavior becomes just as important as adding new functionality. Who can take an action? What conditions need to be be met? What changes when state changes? A lot of the thinking behind DAML starts with making those relationships easier to model and reason about from the beginning.

Fresh data, fewer exploits. Kolme ingests directly from APIs or signed feeds, keeping apps transparent and resilient.

One of the benefits of Haskell is that it changes what engineers pay attention to. Instead of asking whether code works, teams spend more time asking whether its behavior is obvious, predictable, and easy to reason about. That becomes increasingly valuable in systems where mistakes are expensive and complexity accumulates over time.

One of the outcomes of AI may be that it increases the value of senior engineers rather than reducing it. Generating code is becoming easier. Understanding tradeoffs, identifying bad assumptions, designing resilient systems, and knowing where complexity will emerge is still hard. As development speeds increase, engineering judgment becomes even more important.

Not sandboxed Rust, the full power of server-side Rust for real applications

A surprising number of scaling challenges have nothing to do with traffic or performance. They show up when more teams, workflows, and dependencies start interacting with the same system. What has been the biggest source of complexity for your team as you've grown?

Gas fees hold builders back. Kolme removes them from the equation.