· Public charity
Food System 6 Accelerator Inc
Food system 6 (fs6") is a non-profit based in the san francisco bay area whose mission is to support the transformation of how we grow, produce, and distribute food towards a just and regenerative food system.fs6 is a nonprofit organization that develops programs to increase access to capital for farmers, ranchers, and food businesses…
Where the money goes
Grants by size, and the largest recipients.
| Recipient | Amount |
|---|---|
| Individual grant recipient | $100,000 |
| CAPAY VALLEY FARM SHOP | $75,000 |
| SOLUBLUE LTD | $50,000 |
| ANDES AG INC | $50,000 |
Where the grant dollars land
Across the US and around the world.
US giving: 45% of grant dollars ($125k). The 55% that went abroad ($150k) is mapped below.
Beyond the US: 55% of all-years giving ($150k)
1 country, by the recipient’s country on the filing.
How this is measured
0 grantees tracked through their own filings, 2020–2020.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2020 to 2020, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 4 grantees resolved in that span have returns of their own we could reconcile.
Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.
Where the money sits, by cause and then by grantee
Each grantee by its size and the funder’s share of it; top left is load-bearing
Grantee by grantee: a decade per organization, before and after funding
A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.
Warm introductions · Powered by PlinthPlus
How do I get to Food System 6 Accelerator Inc?
Find your warmest path to Food System 6 Accelerator Inc through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.
Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.
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