Heap Inc.Winter 2013Acquired☆Watch⊞Compare

Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.

No named principal in this company's public records yet — see all operators below.

Explore how these operators interlock with other companies in the operator network.

Heap Inc. is one of 381 SaaS / Software companies tracked from San Francisco, WA, USA; San Francisco, CA, USA, on record since 2012. By capital raised it ranks among the largest (ahead of 99% of sector peers), and among the largest 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”

Captures user interactions with no code to generate analytics.

Heap automates away the annoying parts of user analytics. No manual event tracking. No messy tracking plans. No custom ETL pipelines. Just insights. For everyone on your team.

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.

Round size and date are reported; the stage label is inferred from round size (latest is Series D+ — a $100M–$400M round). Valuation is modeled from stage benchmarks scaled by the saas sector profile. Directional, not a quoted figure.

Benchmarked against 381 companies in SaaS / Software. 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 99% of sector peers (real $). Modeled value above 99% of peers (estimate).

A tighter cohort than the sector chart above — only companies at the same stage (Series D+) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful.

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.

Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.

1. Series A$9.1M2015-12-11
   • First recorded raise — entered as Series A.
   • 21 investors on this round.
2. Series B$27.0M2017-04-20
   • Raised 16 mo later, in step with the ~22 mo sector norm.
   • Round 3.0× larger than the prior — scaling up.
   • 6 investors on this round.
3. Series D+$112.6M2021-11-24
   • Raised again after 55 mo — slower than the ~22 mo sector norm.
   • Round 4.2× larger than the prior — scaling up.
   • 22 investors on this round.

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.

Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.

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

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