Job seekers and career-changers have no reliable way to know which markets, roles, and seniority levels are actually hiring vs. stagnant — they rely on anecdotes and vibes
Track real hiring signals (new LinkedIn employee announcements, GitHub team growth, company headcount changes, visa sponsorship filings, earnings call mentions) to produce a live heat map of genuine hiring activity by geography and role
Freemium — free regional overview, $15/mo for granular filters (by stack, seniority, visa sponsorship), enterprise tier for recruiters at $99/mo
The HN thread pain signals are visceral and widespread — 'are companies even hiring?' is a universal question during market uncertainty. Job seekers spend weeks applying blindly to ghost listings. Career changers relocate based on vibes. Recruiters waste time on dead markets. This is a real, recurring, emotionally charged pain point that affects millions of tech workers globally.
~30M tech workers globally, ~5M actively job-seeking at any time. At $15/mo freemium conversion of 2–3%, that's a $27–40M ARR opportunity from individual users alone. Enterprise/recruiter tier ($99/mo) with ~50K potential seats adds $20–60M. Total addressable: $50–100M for a focused product. Not a billion-dollar market as a standalone dashboard, but solid for a bootstrapped or seed-stage company. Upside if it becomes an alt-data feed for investors.
$15/mo is in impulse-buy range for employed tech workers, but job seekers (your most motivated users) are often cost-sensitive because they're between jobs. Career coaches and recruiters are more reliable payers. The Layoffs.fyi viral success proves demand but it's free — converting free-dashboard users to paid is the core challenge. $99/mo recruiter tier has stronger WTP as it replaces expensive LinkedIn Recruiter seats.
Mixed. H1B visa filings (public DOL data) and earnings call transcripts (SEC EDGAR) are fully legal and straightforward — a solo dev can build these pipelines in weeks. BUT the highest-value signal — LinkedIn employee changes — is legally gray (hiQ v. LinkedIn notwithstanding, LinkedIn aggressively blocks scrapers) and technically hard to do at scale. GitHub org data is API-accessible but limited to open-source-heavy companies. An MVP using only legal sources (H1B + earnings + GitHub + public headcount from SEC filings) is buildable in 6–8 weeks but will feel incomplete without LinkedIn-grade data.
Clear whitespace. Enterprise players (Revelio, Lightcast, LinkedIn) charge $50K+ and don't serve individuals. Free tools (Layoffs.fyi, TrueUp) are shallow and listing-based. Nobody offers a self-serve, multi-signal, real-time hiring heat map at $15–99/mo. The Layoffs.fyi model proved virality is possible with simple labor market data — but nobody has built the 'hiring' equivalent with hard signals. This is the strongest dimension of the idea.
Job seekers churn once employed (3–6 month lifecycle). BUT: career coaches, recruiters, startup founders scouting talent markets, and investors tracking workforce trends are persistent subscribers. Building alerts ('notify me when hiring in Rust roles spikes in Berlin') creates habit loops. The recruiter tier at $99/mo has strong retention potential. Key risk: individual subscriptions are inherently seasonal.
- +Clear competitive gap — no affordable, multi-signal, self-serve hiring activity dashboard exists between $0 free tools and $50K+ enterprise platforms
- +Proven demand via Layoffs.fyi virality and HN engagement — people desperately want this data
- +Multiple legal, free data sources (H1B filings, SEC EDGAR earnings calls, GitHub API) provide a viable MVP without LinkedIn scraping
- +Natural viral mechanics — regional hiring heat maps are inherently shareable and discussion-provoking on social media
- +Multiple revenue tiers: individual ($15), recruiter ($99), data API for investors ($500+) provide a clear expansion path
- !The most valuable data source (LinkedIn profile changes) is legally risky and technically difficult to scrape at scale — MVP without it may feel incomplete
- !Job seekers are the most motivated users but least reliable payers — they churn when employed and are cost-sensitive when unemployed
- !Data freshness and accuracy will be constantly challenged — users will find counterexamples and question credibility, requiring significant ongoing data ops investment
- !Incumbents could react: LinkedIn could launch a free version of Talent Insights for individuals, or TrueUp could add signal-based tracking, eroding the gap quickly
Workforce intelligence platform that tracks headcount, attrition, hiring, and compensation from public data
Dashboard for talent pool analysis, hiring rates, and skill demand trends. Built on LinkedIn's proprietary profile and activity data.
Largest labor market analytics provider combining job postings, government stats, resumes, and profile data. Serves education, workforce boards, and enterprises.
Free tech-focused dashboard tracking layoffs, job listings, and company headcount changes. Aggregates postings from multiple job boards with company-level data.
Crowdsourced tracker of tech layoffs. Went viral during 2022–2023 tech downturn. Simple spreadsheet-style interface showing company, headcount, and date of layoffs.
Start with the three fully-legal, freely-available data sources: (1) H1B/LCA visa filings from DOL OFLC — shows which companies filed to hire, by role and location, (2) earnings call transcripts from SEC EDGAR — NLP-extract hiring plans, freezes, and headcount mentions, (3) GitHub organization member counts over time for tech companies. Build a simple heat map dashboard showing hiring activity by US metro area and role category (engineering, data, product). Add email alerts for specific market/role combinations. Launch free with a waitlist for premium filters. Skip LinkedIn scraping entirely for v1 — the legal data alone tells a compelling story nobody else is surfacing accessibly.
Free regional heat map (viral acquisition, shareable on social media) → $15/mo for granular filters by stack, seniority, visa sponsorship, and company size → $99/mo recruiter tier with company-level drill-down, talent flow data, and CSV exports → $499/mo data API for investors and workforce planning teams → potential pivot to alt-data feed for hedge funds ($25K+/yr) once data quality is proven
8–12 weeks to MVP launch using public data sources. First paying users within 2–4 weeks of launch if marketed effectively to HN/Twitter tech community. Target: $1K MRR by month 3, $5K MRR by month 6. The viral heat map + HN/Twitter distribution can drive initial traction quickly — Layoffs.fyi hit millions of users with zero marketing budget.
- “Are tech companies even hiring right now”
- “I know well the EMEA market... No companies are hiring”
- “picture in France looks the same”
- “In the UK tech hiring is fairly buoyant”
- “I haven't gotten a ping from a recruiter in a long time”