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· Public charity

Mad Agriculture

Mad Agricultures mission is to create a regenerative revolution in agriculture.

$392k
Granted FY2024still arriving
14
Grants FY2024still arriving
7
States reached
$78k
Largest
01What you fund
01FY2024 · 14 grants

Where the money goes

Your grants by size, and where they go.

The 14 grants below total $295,044 — the rows itemised in this filing. The $391,896 headline is the total grant expense reported on the return, so the remaining $96,852 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.

By grant size · FY2024

  • Under $10k4 grants · $25k
  • $10k–50k9 grants · $192k
  • $50k–250k1 grant · $78k
$18,000
Median grant
7
States reached
$1.8M
Total assets
Largest grants
RecipientAmount
Fitzgerald Family Farms$77,729
ZAFA WINES$35,000
Zero Foodprint$30,000
Wild Wellspring Farm$29,000
Grama Grass and Livestock$20,000
Lineage Seeds$20,000
A Frame Farm$18,000
KILT FARMS$15,571
JOIA FOOD FARM$14,410
Nettle Valley Farm$10,000
Holly Hock Livestock$8,139
DRYLANDS AGROECOLOGY RESEARCH$7,161
Aquila Cellars$5,034
Speedwell Farm and Gardens$5,000
02The need
02

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Dollar for dollar, your grants (FY24–24) land where the poverty rate runs at 9%, against an area that typically sits at 9%. 64% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%Fitzgerald Family Farms: $78k → 7%Nettle Valley Farm: $10k → 8%A Frame Farm: $18k → 10%Zero Foodprint: $30k → 10%Lineage Seeds: $20k → 12%JOIA FOOD FARM: $14k → 12%Holly Hock Livestock: $8k → 9%DRYLANDS AGROECOLOGY RESEARCH: $7k → 12%Aquila Cellars: $5k → 15%ZAFA WINES: $35k → 9%KILT FARMS: $16k → 12%Speedwell Farm and Gardens: $5k → 12%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03

Where the work is directed

The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.

About 24% of Mad Agriculture’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another. Read by recipient address, 35% of the giving stays in CO; read by stated purpose it is 27% — less of the work is directed home than the recipients' locations suggest.

Mad Agriculturelessmore of its giving
Placed by recipient address · 7.9% directed abroad (not shown)

Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.

03Your field
04the grantee network

2 grantees tracked through their own filings, 2017–2024.

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172024, not grant rows in a single year — so this will not match the grant count on the cover. 2 of the 14 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
0/2
Grew since you first funded

Where your money sits — by cause, then by grantee

Fitzgerald Family Farms — $77,729 · OtherFitzgerald Family FarmsZAFA WINES — $35,000 · OtherZAFA WINESWild Wellspring Farm — $29,000 · OtherWild Wellspring FarmLineage Seeds — $20,000 · OtherLineage SeedsGrama Grass and Livestock — $20,000 · OtherGrama Grass and LivestockA Frame Farm — $18,000 · OtherA Frame FarmKILT FARM — $15,571 · OtherKILT FARMJOIA FOOD FARM — $14,410 · OtherJOIA FOOD FARMNettle Valley Farm — $10,000 · Other+3 more — $18,173 · Other+3 moreZERO FOODPRINT — $30,000 · Food & NutritionZERO FOODPRINTDrylands Agroecology Research Foundation — $7,161 · Food & NutritionDrylands Agroe…
Other$257,883Food & Nutrition$37,161

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%grantee revenue →↑ your share of their budgetZERO FOODPRINT — $30,000 over 1y, 0.6% of budgetDrylands Agroecology Research Foundation — $7,161 over 1y, 0.5% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

  • Who funds ZERO FOODPRINT
  • Who funds Drylands Agroecology Research Foundation

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a set of overlaps that mostly run through you, not between each other.

Zero FoodprintCA13.6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Zero Foodprint

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization Mad Agriculture funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

2024
2021222324
no gov · 00%0%1%3%5%your share of their income ↑0%13%25%38%50%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–50%
    typical government reliance, FY2024

    Government income is each org’s traced federal awards (USASpending — grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that your grant caused the public funding. Coverage is precision-first — a floor, not a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12–24 months.

    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Mad Agriculture?

    Find your warmest path to Mad Agriculture 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.

    On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 14 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears. How we build these →

    Generated from your IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

    More from the funding graph