Companies · AI / ML
San Francisco · CA, USA; Remote · AI / ML · founded 2020 · https://www.posthog.com
Diligence memoA one-page analyst read on PostHog — recommendation, valuation, rhythm, risks.→PostHog: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
PostHog is one of 2067 AI / ML companies tracked from San Francisco, CA, USA; Remote, on record since 2020. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
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”
The single platform to analyze, test, observe, and deploy new features
PostHog helps engineers build better products. We provide everything they need to make sure they are building something that people want. This means - product analytics, session replays, feedback tools, feature flags, experimentation, LLM observability, and a data warehouse (with SQL) with one click data imports from the places you use. We've been averaging ~10% monthly revenue growth, we are [default alive](http://www.paulgraham.com/aord.html), and we didn't raised a huge / now-overpriced round in 2021. While others are focused on layoffs and struggling to grow into huge valuations, we're focusing on an awesome product for end users, hiring (a handful of) exceptional team members and seeing fantastic increases in revenue as a result. Check out posthog.com/careers if you want to be part of this journey.
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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.
PostHog is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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 |
|---|---|---|---|---|
| Sourcebot Helping humans and AI agents understand massive codebases | AI / ML | — | — | 77% |
| Ploomber Heroku for AI | AI / ML | — | — | 77% |
| Hegel AI Open source tools for developing generative AI applications | AI / ML | — | — | 76% |
| Dataland AI agents for customer support. | AI / ML | — | — | 76% |
| Poka Labs Helping industrial manufacturers win deals fast, at the right price. | AI / ML | — | — | 76% |
| Hessian Forward-deployed AI Agents | AI / ML | — | — | 76% |
| Parea Test, evaluate & observe your LLM applications | AI / ML | — | — | 76% |
| Voker The Agent Analytics Platform | AI / ML | — | — | 75% |
See where PostHog sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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