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We've released many examples.

The first is our Twitter-scale Mastodon implementation, which is 100x less code than Twitter wrote to build the equivalent at scale (just the consumer product). It's also more than 40% less code than Mastodon's official implementation (which isn't scalable). https://github.com/redplanetlabs/twitter-scale-mastodon

The rama-demo-gallery repo also contains many short, self-contained, thoroughly commented examples of applying Rama towards very different use cases. These include user profile management, time-series analytics, atomic and fault-tolerant bank transfers, and more. https://github.com/redplanetlabs/rama-demo-gallery




How do you know if it's "twitter-scale" if it's a mastodon implementation?


Mastodon is extremely similar to the consumer Twitter product, and "Twitter-scale" is a known number that we tested well beyond. Among other things, we verified our timeline delivery latency was at least as good as Twitter's number ad that it scaled linearly.




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