Executive Summary

Founders and early-stage teams—roughly part of the 2.0M startups formed globally each year—waste dozens of hours manually scraping databases, hunting for investor theses, and guessing at contact emails, which slows fundraising and disproportionately hurts solo founders and non-networked teams. The pain is acute because a few quality intros can make or break a round, yet existing tools return noisy matches or locked contact information, so founders either pay expensive broker fees or accept low-probability cold outreach. You could build a B2B SaaS that lets a founder upload a one-page pitch or deck and returns 10 prioritized investor matches with verified direct emails, a match-score explanation powered by LLMs and embeddings, and ready-to-send outreach templates synced to CRMs; pricing could target the $1,500 ACV buyer segment implied in the $3.0B market estimate. The product would combine automated semantic matching, active email verification and deliverability checks, and a feedback loop that refines models from accepted intros and investor responses. This is an attractive moment: market score 94/100 and revenue potential 86/100 reflect strong demand, and trends—AI-driven semantic matching, growing acceptance of cold digital intros by VCs, and founder willingness to pay for curated introductions—lower adoption friction. To stand out in a medium-competition landscape you must deliver measurably higher precision (fewer false positives), transparent match rationale, and superior contact hygiene, while acknowledging hard challenges such as maintaining fresh contact data, managing deliverability and compliance, and proving unit economics; a focused pilot with clear KPIs will be essential to decide whether to scale.

Market Opportunity

Find 10 investor matches + direct emails from your pitch — stop manual scraping targets a $3.0B = 2.0M startups annually x $1,500 ACV (global founders willing to pay for curated investor matches) total addressable market with medium saturation and a year-over-year growth rate of 18% = growth in SaaS fundraising tools, investor databases, and paid lead-gen services for startups.

Key trends driving demand: AI-driven matching -- LLMs and embeddings let services semantically match decks to investor themes and stage, improving precision.; Remote & digital deal-sourcing -- VCs increasingly accept cold intros and digital scouting, increasing receptivity to targeted outreach.; Pay-for-intro services -- founders are more willing to buy curated deal flow and warm intro facilitation versus time-consuming manual searches..

Key competitors include Foundersuite, Crunchbase (Pro), PitchBook, Gust, Workarounds (LinkedIn, Upwork, manual scraping).

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Find 10 investor matches + direct emails from your pitch — stop manual scraping

Executive Summary

Market Validation

Market Opportunity

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