Executive Summary

Many B2B growth teams and SDR organizations still waste time and budget blasting purchased lists that rarely reach real decision-makers; reply rates are often in the low single digits and bought contacts decay quickly. The problem is especially acute for sellers targeting developer-focused and product-led teams where public product signals exist but are not systematically translated into verified role-level contacts. You could build a product-driven discovery platform that indexes public product signals (GitHub activity, package manifests, docs usage, repo dependencies) to identify product adopters, map those signals to likely buyer personas, verify contacts through role-inference and progressive validation, and generate LLM-personalized outreach sequences with built-in deliverability controls and CRM integrations. The commercial opportunity is clear: a $2.4B addressable market (800K businesses × $3K ACV), with a Market Score of 86/100 and Revenue Potential 88/100 if you can scale signal coverage and reliable qualification. This moment is favorable because signal-driven targeting and AI personalization materially improve fit and reply rates while privacy and deliverability shifts are reducing the effectiveness of high-volume purchased lists. To stand out you need a proprietary signal index and role-mapping models that materially reduce false positives, plus operational expertise in inbox placement, consent-first workflows, and metrics that prove higher qualified-reply rates. The strengths are clear—higher fit, lower outreach volume, and better long-term deliverability—but be honest about the challenges: competition is high, data quality and role inference are hard technical problems, and legal/compliance and anti-scraping risks require ongoing investment.

Market Opportunity

Find real decision-makers by product-driven discovery and low-cost outreach targets a $2.4B = 800K businesses × $3K ACV total addressable market with high saturation and a year-over-year growth rate of 12% YoY — category growth for sales engagement and prospecting tools driven by automation and remote sales adoption (industry analyst averages).

Key trends driving demand: Signal-driven targeting — public product signals (GitHub, package manifests, docs usage) make it possible to find high-fit prospects without purchased lists, increasing outreach relevance.; AI personalization at scale — LLMs enable hyper-personalized messages based on public context, improving reply rates and reducing volume needs.; Privacy and deliverability shifts — tighter rules and anti-spam measures make high-volume purchased lists less effective and increase demand for permissioned, high-relevance outreach.; Developer-focused buying — more infrastructure and API-first startups mean a growing pool of technical decision-makers reachable via product-contextualized messages..

Key competitors include Hunter, Apollo.io, Lusha.

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Find real decision-makers by product-driven discovery and low-cost outreach

Executive Summary

Market Validation

Market Opportunity

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