Every month since 2011, Hacker News runs an "Ask HN: Who is hiring?" thread where each top-level comment is one job posting. Chart how often a language, tool or work-style shows up across those postings - a live read on what the tech job market actually asks for.
| to OR several terms into one bar, e.g. backend|sre|devopsHover (or click) a bar segment to read the job postings that mention that term in that month.
Where the jobs are - and how remote stacks up against the hubs.
The most-requested programming languages across every hiring thread.
Frontend frameworks as they rise and fade in job reqs.
Backend and web frameworks companies staff up for.
Mobile platform and cross-platform demand.
The data stores in the stacks companies are hiring for.
The infrastructure and DevOps tools teams hire to run their stacks.
Cloud platform demand - AWS versus the rest.
How much the functional world actually hires, year by year.
The machine-learning and generative-AI hiring wave.
The data-pipeline stack companies hire to move and crunch data.
Bare-metal, embedded and hardware-adjacent hiring.
The defining shift in how companies hire: onsite leads a decade, remote erupts in 2021, hybrid emerges after.
The TypeScript takeover, measured in what companies list as wanted skills.
Frontend framework demand: React pulls decisively ahead of Vue and Angular.
The systems-language race for hires: Go's early lead, Rust's steady climb.
The ML-framework changing of the guard, in hiring.
Cloud demand: AWS the default, Azure and GCP fighting for a distant second.
Database demand, era by era: MySQL, the NoSQL wave, then Postgres on top.
The container handoff: Docker as the entry skill, Kubernetes as the must-have.
Two old workhorses: Java's enterprise base versus Python's relentless climb.
Ruby's Rails-era heyday versus Python's steady takeover of the same roles.
The two great web frameworks of the 2010s: Rails out front, Django closing in.
Three JVM challengers, each with its moment in the hiring threads.
Infra-as-code in job posts: Docker first, then Terraform and Ansible.
The relational-database swing: MySQL's early lead, Postgres pulling ahead.
The PaaS-to-cloud migration, as companies move off Heroku onto AWS.
Two hype waves in hiring: the ML build-out versus the blockchain spike.
The mobile duopoly in hiring demand, year by year.
How job posts frame themselves: scrappy startup versus established enterprise.
Backend and infra demand versus frontend demand - near-synonyms folded into one bar each with |.
Two hype cycles head to head: the AI/ML bucket versus the blockchain/crypto bucket.
Low-level and systems-programming demand.
GPU, graphics and shader work in job posts.
Security and cryptography roles across the hiring threads.