San Francisco · CA, USA · founded 2025 · https://minro.com/
Diligence memoA one-page analyst read on Minro — recommendation, valuation, rhythm, risks.→Minro: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Identify churn risk and stay close to users at scale
Minro helps companies stay close to their users as they scale. Today, most startups have thousands of product events flowing through tools like PostHog, but still have no real understanding of who their users actually are, which users are quietly about to churn, or what outreach actually brings them back. Founders care deeply about their users, but staying close to them becomes operationally impossible very quickly. Minro plugs directly into a company’s analytics stack and turns product activity into living customer intelligence. We enrich every user with context like their company, role, LinkedIn/GitHub/Twitter, background, and likely use case, currently matching users to the correct online identity with ~80% accuracy starting from just name + email. We then identify which users are most likely to churn based on behavioral patterns, persona similarity, and historical retention signals, and help founders proactively reach out before those users disappear. Minro drafts highly contextual founder-style outreach, tracks which conversations actually convert into retention, and continuously improves the system over time. The result is a customer intelligence and retention layer that helps companies understand their users better, build stronger relationships, and reduce churn before it happens.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 8525 companies in this sector. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 96% of sector peers (real $). Modeled value above 96% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Minro is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| FlyCode Recover failed subscription payments to increase retention and LTV | Fintech | — | — | 76% |
| Natero Data-driven customer success platform for B2B SaaS. | SaaS / Software | — | — | 76% |
| Workbase Data & workflow platform for B2B account teams | SaaS / Software | — | — | 74% |
| throxy Vertical AI agents that run the sales funnel on autopilot | Fintech | — | — | 73% |
| Gigacatalyst Let software users build new features with our in-app AI agents | AI / ML | — | — | 73% |
| Voiceops We help B2C companies learn from every customer interaction | — | — | — | 73% |
| Outlit Customer Context for Agents | — | — | — | 73% |
| CustomerOS Uncover high-fit leads already silently engaging with your brand | SaaS / Software | — | — | 72% |
See where Minro sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at Minro, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.
Is this your company? Update your profile or add contact details — and choose exactly who can reach you. Reviewed before anything is published.