i built a small tool that looks at who is starring a github repo by analyzing public data.
it gives aggregate views like role and seniority breakdown, top languages and frameworks, companies represented, where stargazers are located, and an aggregate feed of blog posts from people who starred the repo.
I've tried generating some dingbat puzzles with Gemini, they are comically bad most of the time with no subtlety. Even for existing dingbat phrases it didn't make good ones, which I would have expected it to have been able to just copy prior examples.
Same with cryptic crosswords, not very good. Sure there's some strategy that would work like providing some tactics to use.
built a tool that analyzes who's starring your github repo.
paste a repo url and you'll get charts on role and seniority, top languages and frameworks, companies represented, where stargazers are located, and an aggregate feed of their recent blog posts so you can see what your community is thinking about.
it pulls the repo's stargazers, looks at their public profiles, and returns everything as aggregate insights.
curious what would make this more useful, or what other slices of the data you'd want to see.
Pretty similar except maybe you’ll get lots more nulls judging by the other comments! Cheaper but nulls. Will need to work on the recall a bit. But also potentially based on use case feedback maybe look at other niches and features
Hmm surprising you’re not getting anything for public emails. Hit rates can be low but not expected in those cases. Are you using anything else currently for the same task
it gives aggregate views like role and seniority breakdown, top languages and frameworks, companies represented, where stargazers are located, and an aggregate feed of blog posts from people who starred the repo.
link is here if useful: https://api.yolodex.ai/stargazers
aside from this, daily dingbat style puzzles partially llm generated at https://thingbat.today