Executive Summary

Many knowledge workers and recruiters miss early hiring signals that appear informally in social feeds, causing passive opportunities to go unnoticed and making proactive sourcing inefficient; this is a clear pain point for professionals across the estimated 200M knowledge-worker cohort. Job-seekers and talent teams struggle with noisy text, fragmented platforms, and lack of tools that reliably surface intent before roles are publicly posted. You could build a feed-integrated product (browser/mobile/Slack connector) that uses LLM/NLP to detect role mentions and intent, score signal quality, and deliver timely alerts and one-click workflows to save or apply; the UX should prioritize precision, user opt-in privacy controls, and ATS integrations. Focused features—signal confidence, company parsing, and recruiter outreach templates—turn noisy posts into actionable early leads. The market looks attractive: we estimate a $12.0B TAM (200M knowledge-workers × $60 ARPU) with improving AI accuracy and an 88/100 market score, and a 78/100 revenue potential reflecting solid monetization paths via subscriptions or recruiter seats. Social recruiting and the shift to proactive candidate strategies make timing favorable. The competitive edge comes from combining high-precision signal detection (targeting >80% precision), strict privacy/consent design, and tight workflow integrations that reduce false positives and save measurable time. Challenges include platform TOS, data noise, and building network effects, but if you can deliver reliable signals and clear ROI for both candidates and recruiters, this is worth pursuing.

Market Opportunity

Surface hidden hiring signals from your social feed to find roles earlier targets a $12.0B = 200M knowledge-workers × $60 ARPU annually for feed-driven hiring tools total addressable market with medium saturation and a year-over-year growth rate of 10% YoY — demand for talent intelligence and hiring tools has grown ~10% annually as remote hiring and social recruiting increase (industry trend from LinkedIn/hiring reports)..

Key trends driving demand: Social recruiting is rising — more hires are discovered through social posts and personal networks, creating demand for tooling that surfaces these signals.; AI-driven signal detection is now practical — recent LLM/NLP improvements let products detect intent and role mentions in noisy social text with high accuracy.; Shift to proactive candidate strategies — companies and recruiters increasingly target passive candidates, which raises the value of surfacing early-stage signals to job-seekers.; Privacy-by-design consumer tools are more acceptable — users are willing to authorize feed access for clear personal benefit, enabling permissioned data products..

Key competitors include LinkedIn Jobs, HireEZ (formerly Hiretual), Hired / AngelList Talent.

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Surface hidden hiring signals from your social feed to find roles earlier

Executive Summary

Market Validation

Market Opportunity

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