HyperbeamWinter 2022Active☆Watch⊞Compare

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”

API for shared embeddable web browsers

Emebedding third-party apps and websites can often be a nightmare due to incompatible platforms, security issues, and poor UX. Adding multiplayer functionality to these embeds makes this problem exponentially more difficult. Enter Hyperbeam—an API that lets you embed virtual computers anywhere, including web, mobile, VR, and even VSCode. You can then open any third-party website or application, synchronize audio and video flawlessly among multiple participants, and add multi-user control with just a few lines of code. Uses cases and customer segments include remote learning, virtual offices, online casinos, productivity, watch parties and more. We are three technical founders from the University of Waterloo, and worked as engineers at Facebook, Yahoo, and Lyft. Our technology is battle-tested–we currently stream over 1.25M hours of video per month across every continent. https://hyperbeam.com?ch=yc

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.

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.

Hyperbeam 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.

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

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