This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
StackCheck
Real tech demand and salary data from live job posts
StackCheck queries live job postings to show real tech skill demand and salary distributions. Instead of relying on annual surveys or paywalled aggregators, it runs locally on your machine and stores everything in a local SQLite database. The parser weights skills by where they appear in a job description, filtering out incidental mentions. Built with Python, Streamlit, and SQLite, it also ships as a standalone binary for Linux, macOS, and Windows without external dependencies.
No comment highlights available yet. Please check back later!
About StackCheck on Product Hunt
“Real tech demand and salary data from live job posts”
StackCheck was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #316 on the daily leaderboard. StackCheck queries live job postings to show real tech skill demand and salary distributions. Instead of relying on annual surveys or paywalled aggregators, it runs locally on your machine and stores everything in a local SQLite database. The parser weights skills by where they appear in a job description, filtering out incidental mentions. Built with Python, Streamlit, and SQLite, it also ships as a standalone binary for Linux, macOS, and Windows without external dependencies.
StackCheck was featured in Hiring (15.5k followers), Open Source (69k followers), Analytics (174.2k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 77.1k products, making this a competitive space to launch in.
Who hunted StackCheck?
StackCheck was hunted by Haider Ali Tariq. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how StackCheck stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Haider Ali Tariq