I’ve been counting public tech job ads every week and publishing the counts as CSVs. It’s three weeks in now, so I’m sharing it in case it’s useful to someone.
Each week gets a folder with three files:
– job_types.csv: jobs counted, jobs long enough to read, and employers, for 5 job types (AI, machine learning, DevOps, software engineering, entry level software)
– skills.csv: which skills the ads name, how many list each one as required, and the share
– experience.csv: years of experience required, for jobs with an early career title and for all software jobs
How it’s counted: ads from about 255 employer boards (Greenhouse, Ashby, Lever, Workable) plus a few job sites. The same title at the same employer counts once. Skills are matched with fixed rules against a list of about 250, no language model.
Caveats: the boards lean towards US employers, AI companies and fast growing firms, so it’s not the whole market. It counts ads, not hires. Three weeks isn’t a trend yet. It updates every Monday.
Latest week: https://github.com/DerrickWawerumuturi/glassbox-job-counts/tree/main/2026-10-19
I also wrote up one thing it shows (629 of the 4,536 software jobs that week were entry level, and 274 of those were internships): https://seeglassbox.com/market/entry-level-software/is-entry-level-dead?utm_source=reddit&utm_campaign=datasets
Disclosure: I made this, it’s my project (Glassbox). The data is CC BY 4.0 and the story needs no sign up. I’d like to hear what you’d want counted next.
submitted by /u/dw_mt
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