DropleafSummer 2017Inactive☆Watch⊞Compare

Dropleaf is one of 344 Gaming companies tracked from Seattle, WA, USA, on record since 2017. By capital raised it ranks mid-pack (ahead of 47% 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”

Subscription service for all you can play indie PC games.

Dropleaf is a response to an industry that could be so much better than it is. They want to provide everyone with a never ending stream of transformative experiences, but doing that is going to require us to change the space around games. Players need to be able to find the experiences that feel made for them, and the community around those games has to be welcoming and inclusive. Independent developers, meanwhile, need a way to improve discoverability, extend their revenue stream and find a space in which content is rewarded based on quality, not marketing budget. They are working to fix every one of those problems. They have built a discovery system that’s going to help you find games you truly love. Our community is a work in progress, but you can learn more on our blog. And our library is going to keep growing, so that when you finish one great game, you’ll find another that you’d swear was made with you in mind.

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 344 companies in Gaming. 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 47% of sector peers (real $). Modeled value above 47% 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.

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

If you work at Dropleaf, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.