Map your social graph: simple person-to-person mind maps for human networks

Teams and individuals in small and mid-sized businesses—roughly 20 million SMBs—routinely lose track of who knows whom, which causes slower onboarding, missed referrals, fragmented collaboration and a persistent loss of contextual relationship knowledge across email, Slack and LinkedIn. The problem is especially acute in remote and hybrid settings where informal hallway networks are weaker; people spend hours reconstructing context that could be surfaced in minutes with the right tools. You could build a lightweight, privacy-first person-to-person mind mapping product that automatically surfaces relationship maps from existing communications and contacts, lets users manually annotate ties and notes, and offers team views with per-person ACV-targeting at about $480/year for SMB teams or individuals. Key features would be simple visual maps, AI-extracted relationship metadata, two-way syncs with calendars/CRMs, and granular access controls so individuals keep agency over their network data. This is an attractive moment: the total addressable market is roughly $9.6B (20M SMBs × $480 ACV), analyst market score 88/100 and revenue potential 82/100 reflect healthy demand, and recent advances in LLM-based extraction make low-cost, automated relationship structuring feasible. Remote/hybrid work and a resurgence in personal CRMs mean buyers are actively seeking lightweight, non-enterprise solutions to capture informal networks. To stand out you must emphasize extreme simplicity and trust—person-to-person maps that are easier to use than CRMs and more private than social graphs—paired with seamless integrations into email, Slack and calendars to get instant value. Challenges are real: competition is medium, you will need reliable access to communications data and a clear privacy model, and distribution will hinge on integrations and demonstrable ROI (e.g., faster onboarding, higher referral conversion) rather than pure feature lists.