From the blog · Page 18
How we build, what we learn, what we ship.
Posts about indexing public job postings at scale, salary parsing, and the systems that keep one universal JSON schema feeling small even as the source list keeps growing.
AI recruiting tools in 2026: what they do, and the data layer under them
The AI recruiting category splits into five jobs-to-be-done: sourcing, screening, scheduling, outreach, and market intelligence. A tool-by-tool breakdown of what each category actually automates, which claims don't survive contact with a real pipeline, and the thing every vendor deck skips - all of them are only as good as the hiring data underneath, and most buy that data rather than collect it.
How to build a niche job board in 2026: pick the niche, source the jobs, launch
A niche job board is the easiest board to make work and the hardest to keep full. Picking the vertical, why narrow wins, the stack in one paragraph, and the part that actually decides it - sourcing enough open listings in one narrow slice without running scrapers forever. Plus monetization and the go-live SEO that gets a niche board into Google for Jobs.
How to build a remote job board in 2026
Remote is the biggest niche in job boards and the most crowded - which means coverage and freshness are the whole game. Where remote roles actually come from (distributed-first companies on Greenhouse, Ashby, Workable, not just the remote-only boards), how to filter an aggregated feed down to genuinely remote jobs, and how to monetize without competing with We Work Remotely on brand.
How to build a tech job board in 2026
Developers, data and design roles reward a board that filters hard on stack and seniority. Where tech jobs live (YC, Lever, Ashby, Greenhouse, and the Hacker News Who Is Hiring thread nobody parses well), how to enrich listings with the tech stack behind each company, and the filtering that makes a tech board worth returning to.
How to build a startup job board in 2026
Startup roles move fast and close faster, so a startup job board is a freshness problem before it's anything else. Where early-stage jobs come from (Y Combinator, Wellfound-style companies, funding-round hires), how to catch new postings within minutes, and how to turn a hiring signal into a board that VCs, operators and candidates all check.
Google Jobs API: why it doesn't exist, and what to use instead
Developers search for a Google Jobs API every day, but Google for Jobs is a search feature, not an API. What Cloud Talent Solution actually does (and why it isn't what you want), how SERP APIs read the jobs box, and how to get the same postings from the layer Google itself crawls.
The best jobs APIs in 2026: 15 options compared
The best jobs API depends on what you're building. A complete, honest 2026 comparison - JobsPipe, JSearch, Coresignal, Adzuna, SerpApi, the free Greenhouse/Lever/Ashby endpoints, USAJOBS, scraping APIs and more - on coverage, freshness, pricing, and the one thing pricing tables skip: deduplication.
Which ATS APIs are actually public? The 2026 job-data reference
Almost every ATS has an API - the question is whether you can read a company's public postings without being its customer. Greenhouse, Lever, Ashby and SmartRecruiters are open; Workday, iCIMS, BambooHR and most others are gated. Where all 30+ land, and what it means for aggregating job data.
Taleo API: pulling job postings from Oracle's legacy ATS
Taleo's own API is customer-scoped, and its public postings live across three different career-site URL patterns and HTML schemas with their own bot detection. Why Taleo is high-maintenance to read, and how to pull every Taleo career site through one jobs API.