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Fusion
Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
- Even frequent exchanges like, “Hey, I’m heading to Costco, need anything?” where the follow-up is easier spoken than typed, or may require a brief brainstorming - “Oh, remember our neighbors are visiting us on Sunday?”
That’s how 8 years later (2 years ago) me and my co-founder decided to implement a new chat app.
— Technology —
To make it short, I’ll post just one point here: Actual Chat is based on Fusion (https://github.com/servicetitan/Stl.Fusion) - think MobX / computed observables, but distributed. In Actual Chat, the state it manages spans from our servers to every client app, creating an eventually consistent “state mesh”. The unified state management, where clients and servers use exactly the same abstraction to “observe” the changes happening to any bit of content, is quite a challenge from the technology standpoint. IMO it alone deserves a brief look.
P.S. Thank you for reading up to this point!