Executive Summary

Many sales reps and founders using LinkedIn miss time-sensitive buying signals in noisy feeds because manual scanning is slow, resulting in missed outreach windows and lost deals; this is acute for SMBs relying on founder-driven customer acquisition. That pain point affects roughly 2M small businesses that would value faster, more reliable prioritization of organic signals. You could build a lightweight product—a Chrome extension and lightweight backend with Slack/CRM integrations—that filters a user’s LinkedIn feed in real time using intent-detection NLP to surface high-urgency posts, triage by signal strength and fit, and enable one-click outreach or CRM push. The UI would prioritize speed-to-reply with urgency scores and templated responses so reps act within hours, not days. The market looks attractive: a $6.0B TAM (2M businesses × $3K ACV) with a market score of 90/100 and revenue potential of 82/100, and secular tailwinds from rising social selling, improved NLP for short-text intent detection, and SMBs preferring narrow point solutions. This can differentiate by focusing tightly on the single workflow pain—speed to reply—using tailored lightweight models for higher precision on short posts and low-friction integrations, rather than broad analytics suites. Be upfront about challenges: LinkedIn API/privacy constraints, noise and false positives, and incumbent social-listening/CRM players mean you’ll need defensible data pipelines, clear KPIs (response time reduction, conversion lift), and early vertical focus to gain traction.

Market Opportunity

Filter LinkedIn feed to surface time-sensitive client signals fast targets a $6.0B = 2M businesses × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 10% YoY growth in sales enablement and social selling tools (industry reports and vendor growth trends, 2022-2025).

Key trends driving demand: Trend — Social selling and founder-driven customer acquisition are increasing, creating more organic, time-sensitive signals that can be monetized.; Trend — Advances in lightweight NLP and intent detection allow accurate extraction of urgency from short social posts, enabling real-time prioritization.; Trend — SMBs increasingly prefer niche point solutions that solve a single workflow pain (speed to reply) instead of large bundles.; Trend — Privacy and platform anti-scraping measures are pushing products toward compliant integrations and browser-extension assisted user-consent capture..

Key competitors include LinkedIn Sales Navigator, Apollo.io, PhantomBuster.

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Filter LinkedIn feed to surface time-sensitive client signals fast

Executive Summary

Market Validation

Market Opportunity

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