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Plinth

· Private foundation

Adolph Quasthoff Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$800
Granted FY2023
8
Grants FY2023
6
States reached
$100
Largest
01What you fund
01FY2023 · 8 grants

Where the money goes

Your grants by size, and where they go.

$100
Median grant
6
States reached
$53k
Total assets
Largest grants
RecipientAmount
THE ASHER HOUSE$100
EAST MAUI ANIMAL REFUGE$100
OLD FRIENDS SENIOR DOG SANCTUARY$100
PROJECT K-9 HERO$100
GUIDING EYES FOR THE BLIND$100
PAWS OF HONOR$100
DELTA RESCUE$100
HOPE FOR PAWS$100
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:

Your human-services grants (FY23–23, $100) land where the poverty rate runs at 9%, against an area that typically sits at 11%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 11%GUIDING EYES FOR THE BLIND: $100 → 9%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.

03Your field

The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.

1
Raskels Rescue
Animals
2
Donna's Love Pet Rescue
Animals
3
The Adoptable Dog
Animals
4
Animal Angels
5
Runaways Animal Rescue
Animals
6
Wise Tails - a Senior Dog Sanctuary
7
Love Them All

We specialize in saving the most at-risk and critical needs dogs facing unnecessary euthanasia in our local shelters. We provide every resource they need to ultimately become adoptable to their perfect forever home.

Animals
8
From the Heart Animal Sanctuary
Animals
9
Pet Rescue Miami Inc
Animals
10
Their Lives Matter

Dog rescue and care nurturing finding a home

Animals
11
Angies Dog House

We are dedicated to rescuig animals left homeless for whatever reason, animals in public shelters where they are at high risk of euthanasia, animals given up by their owners because of difficult circumstances, and those in danger of abuse…

Animals
12
K9 Global Rescue

K9 global rescue is a dedicated group of former combat veterans working with volunteers in cooperation with rescue organizations, government agencies and disaster relief agencies world wide for the humanity of dogs and all animals.

Animals

For reference, the grantee most central to the portfolio’s shape is Project K9 Hero and the most unlike its peers is East Maui Animal Refuge. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

03the grantee network

8 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
8/8
Grantees still filing
4/8
Grew since you first funded

Where your money sits — by cause, then by grantee

THE ASHER HOUSE — $100 · AnimalsTHE ASHER HOUSEOLD FRIENDS SENIOR DOGS INC — $100 · AnimalsOLD FRIENDS SENIOR DOGS INCDedication and Everlasting Love to Animals — $100 · AnimalsDedication and Everlasting Love to AnimalsPROJECT K9 HERO — $100 · AnimalsPROJECT K9 HEROEAST MAUI ANIMAL REFUGE — $100 · AnimalsEAST MAUI ANIMAL REFUGEHOPE FOR PAWS — $100 · AnimalsHOPE FOR PAWSPAWS OF HONOR INC — $100 · AnimalsPAWS OF HONOR INCGUIDING EYES FOR THE BLIND INC — $100 · Human ServicesGUIDING EYES F…
Animals$700Human Services$100

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ your share of their budgetTHE ASHER HOUSE — $100 over 1y, 0.0% of budgetOLD FRIENDS SENIOR DOGS INC — $100 over 1y, 0.0% of budgetDedication and Everlasting Love to Animals — $100 over 1y, 0.0% of budgetPROJECT K9 HERO — $100 over 1y, 0.0% of budgetEAST MAUI ANIMAL REFUGE — $100 over 1y, 0.0% of budgetHOPE FOR PAWS — $100 over 1y, 0.0% of budgetPAWS OF HONOR INC — $100 over 1y, 0.0% of budgetGUIDING EYES FOR THE BLIND INC — $100 over 1y, 0.0% 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.

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 tightly interlocked camp — most of these funders back each other's grantees too.

Raymond James Charitable Endowment FundFL12.7× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Raymond James Charitable Endowment Fund · Amazonsmile Foundation

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 Adolph Quasthoff Foundation 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.

2023
2021222324
no gov · 10%0%1%3%5%your share of their income ↑0%1%3%4%5%share of the org’s income from government
    no gov moneyreceives it· size = income
    1get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.

    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 8 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 2023, released 2023. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record but names no grant recipient in the published copy, so the figures above are from FY2023, the most recent year this funder’s grantee list reached the public record.

    Source object · view filing

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