Executive Summary

Many hiring signals and nascent roles live buried in everyday social posts and DMs, leaving both passive candidates and busy hiring teams unaware of opportunities that would be filled through personal networks; this creates friction for roughly 200M knowledge workers and the teams that want to recruit them. The pain is amplified by noisy feeds and short-form posts where intent is subtle, so high-precision detection is required to avoid false positives. You could build a feed-native product — a browser/phone aggregator and agent that monitors public social posts and direct networks, uses modern NLP and entity extraction to surface hiring intent and structured role descriptions, and delivers unified, consent-based alerts and pipelines for candidates and recruiters. Think candidate-first workflows (saved signals, role-matching, alerts) plus recruiter-facing verification and sourcing tools that slot into existing ATS and messaging flows. The timing is favorable: network-first hiring is rising, AI signal extraction has matured, and the market opportunity is roughly $12.0B (200M knowledge workers × $60 ACV) with a Market Score of 88/100 and Revenue Potential of 78/100. Early mover advantage exists because many incumbent job boards focus on active listings rather than passive, feed-based signals. This idea can stand out by combining high-precision NLP tuned for short posts, social-graph context to verify intent, and a privacy-forward consent model to unlock real passive leads; those capabilities create defensibility beyond basic keyword alerts. The main challenges are platform access, moderating noise versus signal, and competing in a medium-competition space, so focus first on a tightly defined vertical or network to prove precision and value before scaling.

Market Opportunity

Surface hidden hiring signals and startup roles from your social feed targets a $12.0B = 200M knowledge workers × $60 ACV total addressable market with medium saturation and a year-over-year growth rate of 8-12% CAGR — HR tech and recruitment tooling continues steady growth (industry reports such as Grand View Research and staffing tech analyses).

Key trends driving demand: Network-first hiring — more roles are filled through personal networks and social posts, creating opportunities for feed-based discovery.; AI-enabled signal extraction — modern NLP and entity extraction reduce false positives when detecting hiring intent in short social posts.; Candidate-first tooling — job seekers increasingly prefer tools that centralize passive and active leads, making unified feed alerts valuable..

Key competitors include LinkedIn (Jobs & Recruiter), Teal, HireEZ (formerly Hiretual).

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Surface hidden hiring signals and startup roles from your social feed

Executive Summary

Market Validation

Market Opportunity

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