[lsj0627]

Thanks for taking the time to explain!

>You're somewhat stuck anyway for companies that don't post jobs.

Good news on this front. I have manually compiled a limited tech stack DB for roughly 5,000 US startups over the last decade (limited because it only has Frontend and Backend languages/frameworks for each company). Much of this data is current too, thanks to the 2021 boom in jobs. And the majority of startups either share their technologies in job descriptions by simply listing them or alluding to them, with fun statements like "we welcome skills in Python, Ruby, or JavaScript/Node.js (but Ruby would be ideal)." It's big tech companies that are more likely to be vague, because you could end up being hired into one of a multitude of product groups using different technologies.

On a side note: the second Ruby example is one reason scraping will be insufficient, and why language-specific job seekers pull their hair out using most job boards. If you search for Python positions, that Ruby company will pop up because it has the word Python.

If this was a viable idea, then I'd really need to get deeper into the stack (i.e. "preferred" experience with technologies like AWS, RabbitMQ, Spark, etc). This is crucial, allowing a hiring manager or recruiter not just the data to hit the basic requirements in candidate sourcing, but exceed them by delivering those "pluses." But I digress. Perhaps I would wait to see if this idea even has legs before committing to the time investment of digging for these "secondary" technologies.