Track expressed buying intent in public forums to surface warm B2B leads

Executive Summary

B2B sales teams today spend disproportionate time on cold outreach because they lack reliable signals that a prospect is actively researching solutions; many buying decisions now start with explicit recommendation requests in public forums, and mid-market and enterprise sellers—roughly 400,000 target buyer accounts—struggle to capture those signals at scale. The consequence is high CAC and low conversion from pipeline touchpoints that are effectively blind to intent. You could build a platform that continuously monitors public communities (industry forums, Reddit, LinkedIn posts, product-specific spaces), applies LLM-backed classifiers and human-in-the-loop validation to extract and score expressed buying intent in near real time, enriches leads with firmographic and behavioral context, and pushes prioritized alerts into CRM and SDR workflows. The market is attractive now: we estimate a $12.0B opportunity (400,000 buyers x $30K ACV), the market score is 95/100 and revenue potential 90/100, driven by three tailwinds—shift-to-community-influence, cookie deprecation elevating first-party/public signals, and rapid advances in NLP accuracy. To stand out you must optimize for precision and workflow fit rather than raw volume: invest in vertical taxonomies, tight CRM integrations, customizable intent thresholds, and clear ROI dashboards so sales teams trust alerts and act. Competition is medium—vendors offer adjacent signals and social listening—but success will hinge on coverage depth, a defensible model training pipeline, and careful handling of privacy and platform terms; expect pilots and vertical focus to be necessary before broad enterprise rollouts.