Find online buyer-intent posts and reply with personalized, non-spammy outreach

Many SMB sellers waste hours chasing low-quality leads while high-intent buyer signals are scattered across forums, comment threads, and niche communities where they go unnoticed; roughly 3.0M addressable SMB sellers lack a reliable way to discover and respond to those signals at scale without sounding like spam. This leads to missed revenue and inefficient outbound efforts for teams that would benefit from timely, contextual engagement. Build a SaaS product that crawls public posts, scores and ranks buyer-intent, and generates short, personalized replies using LLMs tuned to platform tone and norms, with human-in-the-loop review and CRM integrations for follow-through. Features should include intent scoring, real-time alerts, A/B testing of messages, and automated compliance checks to keep outreach authentic and scalable. The market is compelling now: a $4.8B TAM (3.0M SMBs × $1.6K ACV), a high market score (88/100), and strong macro trends — AI-enabled personalization and a shift from broad advertising to intent-driven engagement — that favor this approach. You can stand out by offering superior signal aggregation, intent-ranking algorithms, and LLM-generated replies that are platform-aware, but be upfront about operational challenges such as coverage gaps across channels, false positives, platform TOS/legal risk, and the need for robust guardrails to prevent spam or unsafe content.