GraffitiGeoSummer 2009Acquired☆Watch⊞Compare

GraffitiGeo is one of 567 Food & Beverage companies tracked from Palo Alto, CA, USA, on record since 2012. By capital raised it ranks in the long tail (ahead of 34% of sector peers), and in the long tail 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”

We let you know where to go and what to get once you get there.…

At its core GraffitiGeo allows users to leave brief reviews of restaurants, or for those too lazy to do that, to simply leave a "thumbs up" or "thumbs down" — it's like a highly condensed version of Yelp, or a "Digg for the world". These reviews and votes can be cast from the site's iPhone app or from the service's homepage. The homepage also features a stream of the latest comments to come in from other users, as well as a profile for each restaurant in the system that includes all of its votes and comments. There's also a nifty feature that lets you view a heatmap of your current region, so you can quickly figure out the hot spots in town. The gameplay in GraffitiGeo gives you points for checking into certain locations, similar to FourSquare, but doesn't really let you do anything with them. With GraffitiGeo, you earn points for every action you take, be it voting on a restaurant or leaving a brief comment. Once you've reached a certain point threshold, you can use those points to start a "mob", which you can invite your friends to join. Mobs allow friends to pool their points, which can then be used to acquire territory, which corresponds to actual city blocks. Whenever someone votes on one of the restaurants on the block, the mob gets some street cred too. It's definitely going to be confusing at first, but it also brings a team element to gameplay.

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 567 companies in Food & Beverage. 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 34% of sector peers (real $). Modeled value above 34% 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.

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.

GraffitiGeo 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.

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.

See where GraffitiGeo sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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