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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.
There's "jj", which started as a Google employee's hobby project but they put him full time on it. Not sure how much G plans to push this, but they are endorsing it at least.
https://github.com/martinvonz/jj
I've been using it myself lately and it's pretty cool. Takes some getting used to, but actually pretty easy to recover from screw ups, unlike git.
For posterity here’s [1] a list of Nitter instances. The flagship one (Nitter.net) always gets overloaded
[1]: https://github.com/zedeus/nitter/wiki/Instances
I have contradictory feelings regarding git. For more than ten years, I was using it daily without really understanding the internals... and I was often confused and frustrated. After investing some time learning how the Directed Acyclic Graph works, suddenly everything made much more sense.
And, yes: it is good to learn the underlying fundamentals of the technology we are using. But, on the other hand, it denotes a rather poor abstraction from the UX point of view, imho.
Now, when I deliver git training, I start by explaining the DAG and how there is no magic, only git. By the way, the notes and exercises of the course are in my GitHub account[1], feel free to check it out if you think it can be useful.
[1] https://github.com/ciberado/git-workshop (https://ciberado.github.io/git-workshop/)