Homebrew
Homebrew is a San Francisco-based seed-stage venture capital firm founded in 2013 by Hunter Walk (a former product leader at Google and YouTube) and Satya Patel (a former VP of Product at Twitter, partner at Battery Ventures, and product leader at Google). Named after the Homebrew Computer Club, the firm practices high-conviction, concentrated seed investing, taking board-level positions and acting as an extension of the founder's team. Roughly 90% of its investments are pre-seed and seed, with initial checks in the $100K-$500K range and the ability to follow on up to $25M+ in later rounds. Homebrew backs mission-driven founders working on large, urgent, and valuable problems across fintech, AI/ML, healthcare, climate, defense, logistics, real estate, and consumer, focused on companies operating in the Americas. After a decade of institutional funds that backed companies such as Chime, Plaid, Gusto, and Mercury, Homebrew announced in 2021 that it would stop raising outside LP capital and invest only its own money going forward under the banner "Homebrew Forever."
Homebrew has 103 portfolio companies tracked on the APIs.io network, of which 34 (33%) publish APIs indexed here. The remaining 69 are tracked as profiles without a published API on the network.
Its highest-rated API providers on the network are Plaid, Regal, Canopy, Scrunch AI, Bluejay.
Portfolio on the Network
Portfolio companies that publish APIs indexed on APIs.io, grouped by their API Evangelist rating. Exemplar and Strong are expanded by default.
Strong 2 Solid coverage with minor gaps
Developing 18 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 1 Early or largely undocumented
Properties
Portfolio
Where the firm publishes its investments
Firm
The firm itself
Cohort brief
Auto-generatedThe 94 portfolio companies with APIs in the catalog, backed by Homebrew, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 31.3 | 26.4 | +4.9 | 94 |
| Developer Ergonomics | 23.8 | 23.1 | +0.7 | 94 |
| Discoverability | 58.7 | 58.2 | +0.5 | 94 |
| Contract Quality | 18.1 | 17.6 | +0.5 | 94 |
| Contract Governance | 5 | 6.3 | -1.3 | 94 |
| Operational Transparency | 11.4 | 13.6 | -2.2 | 94 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 24% | 15% | +9 |
| MCP server (first-party) | 24% | 12% | +12 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 10% | 11% | -1 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 7% | 13% | -6 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 Regal 71.6
- 2 Canopy Connect 67.5
- 3 Plaid 66.9
- 4 Scrunch AI 61.3
- 5 Finix Payments 58
- 6 Sweep 52.7
- 7 Warp 52.1
- 8 Bluejay 51
- 9 Windfall Data 49.4
- 10 Color 49
- 1 Airweave 60.2
- 2 Scrunch AI 56.8
- 3 Larridin 53.1
- 4 CoreStory 53
- 5 Regal 52.3
- 6 Sweep 48.5
- 7 Extend 47.1
- 8 Goethena 44.8
- 9 Color 41.5
- 10 Canopy Connect 40.5
Coverage caveat. 87 of 94 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 3 October 2026, across 28834 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Source (apis.yml)
Work with this as data
Every firm here is available over the APIs.io API and to AI agents over MCP.