Ask HN: What makes a solo open-source project "production-grade"?

I recently built and released an in-memory B+Tree library for the JVM, mainly because I wanted to explore the cache-locality and GC overhead issues of pointer-heavy Red-Black Trees.When it finally compiled and started wining over TreeMap in JMH benchmarks, I thought I was basically done.Turns out, not even close.Over the last few weeks I went down a rabbit hole of:- Jqwik property-based testing with 214,000+ randomized structural cases.

- Serialization compatibility and serialVersionUID.

- JFR and -Xlog:gc to figure out whether some benchmark results were actually anomalies.

- Strictly following JDK SortedMap contracts instead of taking optimization shortcuts.

- added Jacoco coverage(95.9%) and Codecov(91%)

- Trying every possible way and optimization if needed

- looped massive time Otimization->Correctness->Bencmark->reoptimization and the loop goes until it reaches maximum state.

The final result was a 30~46% memory saving and 2x (sometimes up to 10x) speedup. Maven Central shows 1.7K, 154 unique sources and 47 downloads, though I suspect a lot of that is just CI/CD caching.And it made me ask:For people who actually evaluate open-source dependencies at companies, what is your checklist? At what point do you look at a solo developer's GitHub repo and think, "Yeah, I'd be comfortable putting this in production"?