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If I was pitching more at graduate level I'd say write the container format only and call the htscodecs reference implementations for the compression (just the custom codecs, the regular ones GZIP, LZMA and BZ2 algorithms will already have implementations in most languages). That would probably be a masters thesis (6 months) level project with proper supervision.
Also, I don't think software developing tools are perfect as they are constantly evolving with new market players entering every year. Amazon MTurk sucks so why there are new data labeling companies. Amazon Redshift also was kind of painful to use, the reason why Snowflake got so popular. I also think there are people who don't like to use Google Analytics, so services like https://plausible.io exist. Google/Apple's in app purchase sucks, so RevenueCat came out. Also, my most recent favorite one is https://www.ray.io, which is solving scaling distributed ML (deploying prototyped pytorch code in a production env is painful and takes so much effort).
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