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· Public charity

Perfect 33 Foundation

To raise funds to support youth athletics, education, and to support the military and their families

$375k
Granted FY2021
6
Grants FY2021
3
States reached
$200k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20192021.

Health$395kPublic Benefit$300kHuman Services$55kYouth Development$38kPublic Safety & Disaster$35kRecreation & Sports$5kFood & Nutrition$5kEducation$5k
02FY2021 · 6 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2021

  • Under $10k4 grants · $20k
  • $50k–250k2 grants · $350k
$5,000
Median grant
3
States reached
$232k
Total assets
Largest grants
RecipientAmount
CHARLES H KEATING FOUNDATION$200,000
KRISTIN OSBORN LLC$150,000
AUTISM TREE PROJECT FOUNATION$5,000
KIDS STEP TO SUCCESS$5,000
ST KATHERINE DREXEL ACADEMY$5,000
KIRK GIBSON FOUNDATION FOR PARKINSONS$5,000
02The need
03

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 (FY19–19, $55k) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%PENINSULA YMCA: $50k → 11%DONNIE EDWARD BEST DEFENSE FOUNDATION: $5k → 11%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
The Kim and Don Richards Family Foundation
Philanthropy
2
The Family Foundation
Philanthropy
3
San Francisco Family Foundation
4
Mr and Mrs Kirk Swingle Foundation
5
Kenny Gordon Foundation
Philanthropy
6
The Gibson Family Foundation
Philanthropy
7
Gk Legacy Foundation
Philanthropy
8
The Gould Kerr Family Foundation
Philanthropy
9
A Family Foundation
Philanthropy
10
Clark Gillies Foundation
Human Services
11
The Craig Snider Foundation
Philanthropy
12
Channel Islands Young Men's Christian Association

The channel islands ymca is a charitable organization providing programs based upon christian principles to people of all ages, races, religious beliefs and economic status, to promote youth development, healthy living and social…

Human Services

For reference, the grantee most central to the portfolio’s shape is Charles Humphrey Keating Iv Foundation and the most unlike its peers is The Git-R-Done Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

04the grantee network

11 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. 11 of the 15 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.

1
Load-bearing (≥25% of a budget)
4
Early backer (in before they grew)
10/11
Grantees still filing
9/11
Grew since you first funded

Where your money sits — by cause, then by grantee

KAIZEN BRAIN CENTER — $225,000 · OtherKAIZEN BRAIN CENTERKRISTIN OSBORN LLC — $150,000 · OtherKRISTIN OSBORN LLCVICTORY CONFERENCE CENTER — $25,000 · OtherVICTORY CONFERENCE CENTER+2 more — $10,000 · OtherCHARLES HUMPHREY KEATING IV FOUNDATION — $300,000 · Public BenefitCHARLES HUMPHREY KEATING IV FOUNDATIONYMCA OF SAN DIEGO COUNTY — $50,000 · Human ServicesDONNIE EDWARDS BEST DEFENSE FOUNDATION — $5,000 · Human ServicesMARIANO RIVERA PUBLIC FOUNDATION — $35,000 · InternationalTHE KIRK H AND JOANN P GIBSON FAMILY FOUNDATION FOR PARKINSON'S RESEARCH — $10,000 · HealthRonald McDonald House Global — $5,000 · HealthAUTISM TREE PROJECT INC — $5,000 · HealthTHE GIT-R-DONE FOUNDATION — $7,500 · PhilanthropyGREAT LAKES BURN CAMP INC — $5,000 · Recreation & SportsCATHOLIC COMMUNITY FOUNDATION OF SAN DIEGO — $5,000 · Religion
Other$410,000Public Benefit$300,000Human Services$55,000International$35,000Health$20,000Philanthropy$7,500Recreation & Sports$5,000Religion$5,000

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

25%50%75%100%$100k$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetCHARLES HUMPHREY KEATING IV FOUNDATION — $300,000 over 2y, 8.3% of budgetYMCA OF SAN DIEGO COUNTY — $50,000 over 1y, 0.0% of budgetMARIANO RIVERA PUBLIC FOUNDATION — $35,000 over 1y, 9.4% of budgetTHE KIRK H AND JOANN P GIBSON FAMILY FOUNDATION FOR PARKINSON'S RESEARCH — $10,000 over 2y, 1.6% of budgetTHE GIT-R-DONE FOUNDATION — $7,500 over 1y, 1.7% of budgetGREAT LAKES BURN CAMP INC — $5,000 over 1y, 1.0% of budgetRonald McDonald House Global — $5,000 over 1y, 0.0% of budgetAUTISM TREE PROJECT INC — $5,000 over 1y, 1.2% of budgetCATHOLIC COMMUNITY FOUNDATION OF SAN DIEGO — $5,000 over 1y, 0.1% of budgetKIDS STEPS TO SUCCESS INC — $5,000 over 1y, 70% of budgetDONNIE EDWARDS BEST DEFENSE FOUNDATION — $5,000 over 1y, 0.8% 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.

American Online Giving Foundation IncDE5.1× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift 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 Perfect 33 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.

2024
2021222324
no gov · 10%5%19%42%75%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
    3report 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.

    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Perfect 33 Foundation?

    Find your warmest path to Perfect 33 Foundation 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 15 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 2021, released 2021. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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