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.
Yes the coverage is not going to be near 100% so you’d get a lot of anger with this use case. There are some libs that will check via smtp if they are likely reachable, and some services. Is “verify your email” and option ie sending an email on signup as part of the signup flow an option?
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
Thanks Ryan! It only supports query by email at the moment but if you can explain the social url use case and the atteibutes you’d want to retrieve I’ll see what’s possible.
if you tried the curl command then yes this is indeed fast. the example curl command is hardcoded, [email protected] is used with a static response for the purposes of allowing users to test the shape of the api without needing to be authed. low time to first test was my aim.
keen to hear if you have a use case for something like this?
ScaleXP helps high-growth tech companies automate business performance reporting.
No more exporting huge CSVs from financial, sales, analytics systems and wrestling with them in spreadsheets, more time analysing the data and making informed decisions.
We're looking for someone to take problems such as MRR, CAC, LTV calculation, cohort analysis among others and create straight forward, easy to use solutions for them. Don't know what these are? No problem, we're all always learning from each other and our customers.
ScaleXP is an early stage startup, focused on providing data driven, easily accessible insights to accelerate growth of early to mid stage startups. We’re combining data from a variety of financial and CRM platforms amongst others to spot patterns and anomalies that would otherwise be lost in spreadsheets.
We’re looking to hire a frontend engineer to help come up with new ways to view this data, building out visualisations, analytics tooling and representations that help drive decision making. We’re specifically looking for someone with experience developing web app, preferably with React and Typescript.
We're building the next generation of international business research tools - lots of data, heaps of automation, Hadoop, ElasticSearch, etc.
We have several open positions but front-end engineers - preferably with experience managing and testing large front-end codebases - are particularly welcome.
Our new offices near Angel station are particularly beautiful (all credit to our hosts GoCardless). We are profitable and growing in a very different, technically complex market.
Send [email protected] a link to your github if you'd like to be considered.
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