I'm not saying it's a fair metric, but when I compare Twitter's open output to similarly VC-funded-but-now-public companies, the engineering output doesn't seem particularly exciting.
For comparison:
Meta / Facebook:
* React
* PyTorch
* Fasttext
* Their unsung-but-indispensible-for-humanitarian-orgs Data for Good program
Google:
* Flutter
* Go
* Kubernetes
* Tensorflow
* BERT / Large language models generally
* Mapreduce / Hadoop
The much-maligned Uber:
* H3 Geospatial indexing
* Kepler.gl
* Manifold
Even AirBNB!
* Airflow
* Superset
I use most of these products (or their descendants) every day in my work.
When I think of Twitter, all I think of is how they arbitrarily shut off humanitarian access to their APIs (and earlier, the Twitter firehose). There's not a single Twitter-supported open product that I use.
Am I the only one? Is there a great Twitter-supported project that I missed?
For comparison:
Meta / Facebook:
* React
* PyTorch
* Fasttext
* Their unsung-but-indispensible-for-humanitarian-orgs Data for Good program
Google:
* Flutter
* Go
* Kubernetes
* Tensorflow
* BERT / Large language models generally
* Mapreduce / Hadoop
The much-maligned Uber:
* H3 Geospatial indexing
* Kepler.gl
* Manifold
Even AirBNB!
* Airflow
* Superset
I use most of these products (or their descendants) every day in my work. When I think of Twitter, all I think of is how they arbitrarily shut off humanitarian access to their APIs (and earlier, the Twitter firehose). There's not a single Twitter-supported open product that I use.
Am I the only one? Is there a great Twitter-supported project that I missed?