Why we migrated to TypeScript after all

This page summarizes the projects mentioned and recommended in the original post on dev.to

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.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • Medusa

    Building blocks for digital commerce

  • Not going with TypeScript in the first place allowed us to do other amazing things like creating an incredibly powerful core architecture and a handful of great plugins that provided integrations for systems like Stripe, Segment, Sendgrid, and others. We were able to do this at an incredible pace and iterate quickly, changing APIs on a day to day basis (one of the privileges of the early days with few customers) without too many complications which eventually got us to this point in time, where we have figured out the ins-and-outs of how data should be flowing and where we have a good understanding of the types and interfaces needed for modularity and composability.

  • coffeescript

    Unfancy JavaScript

  • You may be thinking now: okay but why on earth didn't you start with TypeScript if you wanted to use tools that developers like. The truth is that when we started developing we were optimizing for speed; with limited TypeScript experience back then we felt that there would potentially be many unknown issues to overcome if we had decided to go down that route. Furthermore, TypeScript was not as widely established as it is today and it would have been really sad if we had chosen a language that would wane in popularity after a couple of years (cough CoffeeScript and friends). That isn't to say that we didn't like TypeScript, on the contrary, we have always thought TypeScript was incredibly powerful, however, by Lindy, we decided that it was worth waiting a bit.

  • 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.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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