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Plinth

· Private foundation

Addo Foundation Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$197k
Granted FY2025still arriving
287
Grants FY2025still arriving
37
States reached
$10k
Largest
01What you fund
01FY2025 · 287 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • Under $10k281 grants · $137k
  • $10k–50k6 grants · $60k
$500
Median grant
37
States reached
$90k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$10,000
Individual grant recipient$10,000
Individual grant recipient$10,000
Individual grant recipient$10,000
Individual grant recipient$10,000
Individual grant recipient$10,000
Individual grant recipient$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
ERICA VAN DOP$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
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 (FY25–25) land where the poverty rate runs at 12%, against an area that typically sits at 13%. 46% of your dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.

area typical 13%ANN MARIE CORIC: $500 → 11%TOMMIE CLARDY III: $500 → 11%TARA EDWARDS: $500 → 15%SHARON BOGERE: $500 → 8%PATRICIA THORPE: $500 → 8%ROCHELLE HASTINGS: $500 → 6%MIKE SHANK: $500 → 9%RYAN MARTIN: $500 → 9%KATHERINE RUTHERFORD: $500 → 10%BETH MCCALLISTER: $500 → 11%MAGGIE AMAISMEIER: $500 → 12%COURTNEY SCHERF: $500 → 14%NORTH STAR SCHOOL DISTRICT C: $500 → 14%RAEAN GADDONI: $500 → 6%TODD KOSIEWICZ: $500 → 10%RICHARD WILLIAMS: $1k → 11%MARTINA HERNANDEZ: $500 → 11%CASSIE JAMES: $10k → 14%BRIAN DWYER: $10k → 11%MIKE NIEPORTE: $10k → 5%JENNIFER KING: $1k → 12%SCOTT WALKER: $750 → 17%MARY SMITH: $750 → 10%CHRISTINE HOWELL: $1k → 9%JANIKA BRICE: $1k → 14%DARCIE MOSS: $750 → 8%AMANDA MILLER: $10k → 12%CHARLES BELL: $750 → 15%MCDOWELL COUNTY SCHOOLS C: $750 → 16%SALLY NAPORANO: $750 → 6%ANGEL DAVIS: $750 → 13%LAURIE BRUMBY: $10k → 15%JAMIE HALBISEN: $750 → 11%SUE MOON: $10k → 13%ERICA VAN DOP: $1k → 15%ZUNDRA GATES: $750 → 10%KATHY CANNON: $750 → 9%RYAN CLAYTOR: $1k → 22%KRYSTN CHARLIE: $1k → 11%LAUREN JARVIS: $1k → 15%MIRANDA RODRIGUEZ: $1k → 16%CRYSTAL CAMPOS: $1k → 21%DIANE HOLLENBECK: $750 → 3%ASHLEY CATLETT: $1k → 7%KAMI ROWLAND: $750 → 17%GREG NAKATA: $750 → 14%CRYSTAL CAMPOS: $1k → 17%NICOLE HILL: $1k → 8%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.

Which US states your grants reach

NH
ID
MN
IL
WI
MI
NY
MA
OR
NV
IA
IN
OH
PA
NJ
CT
CA
UT
CO
MO
KY
WV
VA
MD
AZ
KS
AR
TN
NC
SC
OK
LA
MS
AL
GA
TX
FL

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.

03Your field
03the grantee network

1 grantees tracked through their own filings, 2017–2025.

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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 1 of the 278 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)
0/1
Grantees still filing
0/1
Grew since you first funded

Where your money sits — by cause, then by grantee

Individual grant recipient — $10,500 · OtherIndividual grant recipientIndividual grant recipient — $10,000 · OtherIndividual grant recipientIndividual grant recipient — $10,000 · OtherIndividual grant recipientIndividual grant recipient — $10,000 · OtherIndividual grant recipientIndividual grant recipient — $10,000 · OtherIndividual grant recipientIndividual grant recipient — $10,000 · OtherIndividual grant recipient+194 more — $110,000 · Other+194 more
Other$170,500

Showing your 200 largest grantees by grant value.

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 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 THE CAVALENA CHARITABLE TRUST DBA THE CAVALENA FOUNDATION

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 278 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-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

More from the funding graph