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· Public charity

Max Schewitz Foundation

The making of grants for education, medical and scientific purposes.

$149k
Granted FY2023
8
Grants FY2023
8
States reached
$40k
Largest
01What it funds
01FY2023 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • Under $10k2 grants · $10k
  • $10k–50k6 grants · $139k
$15,000
Median grant
8
States reached
$0
Total assets
Largest grants
RecipientAmount
ANN & ROBERT H LURIE CHILDREN'S HOSPITAL OF CHICAGO FOUND$40,000
RAINFOREST TRUST$34,017
WHO WE PLAY FOR$25,000
SUDDEN ARRHYTHMIA DEATH SYNDROME FOUNDATION$15,000
CODY STEPHENS GO BIG OR GO HOME MEMORIAL FOUNDATION$15,000
NICK OF TIME FOUNDATION$10,000
HEART FOR ATHLETES$5,000
ANDRA HEART FOUNDATION$5,000
02The need
02

Does the money reach high-need areas?

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

show:

Dollar for dollar, its grants (FY23–23) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 81% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%ANDRA HEART FOUNDATION: $5k → 15%CODY STEPHENS GO BIG OR GO HOME MEMORIAL FOUNDATION: $15k → 16%HEART FOR ATHLETES: $5k → 12%SUDDEN ARRHYTHMIA DEATH SYNDROME FOUNDATION: $15k → 8%ANN & ROBERT H LURIE CHILDREN'S HOSPITAL OF CHICAGO FOUND: $40k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.

Which US states its grants reach

WA
IL
UT
VA
AZ
AL
TX
FL
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
Who We Play for

Reduce the incidence of sudden cardiac arrest in teens and young adults, particularly athletes, by providing affordable cardiac screening and raise awareness that sudden cardiac arrest is preventable. We work mostly in schools across six…

—
2
Eric Paredes Save a Life Foundation a California Public Benefit Corporation

We educate students, parents, educators, coaches, & others working with youth about sudden cardiac arrest. we advocate for cardiac prevention through risk assessments, free heart screenings, cpr/aed training, aed placement & cardiac…

Health
3
Cardinal Health Foundation
Education
4
Augustheart

The mission of augustheart is to provide free heart screenings to teenagers to identify selected heart abnormalities in an effort to reduce the risk of sudden cardiac death.

Health
5
Holly Andersen Heart Foundation
Health
6
The Heart Foundation

The heart foundation (thf) was created to save lives from heart disease by increasing awareness, educating the public, and supporting innovative research at smidt heart institute at cedars-sinai medical center in los angeles, california.…

Philanthropy
7
Little Red Foundation % Alisse Thomas
Health
8
Children's Heart Foundation

To raise funds to advance the diagnosis, treatment and prevention of congential heart defects.

—
9
Texas Heart Institute

The mission of Texas Heart Institute (THI) is to reduce the devastating toll of cardiovascular disease through innovative and progressive programs in research, education, and improved patient care.

Health
10
Save the Hearts Foundation

Founded on the unshakable belief that all humans are equal, and every newborn has equal potential to fulfill life's promises, save the hearts delivers cutting edge and free medical treatment to the poorest children afflicted by congenital…

—
11
Take Heart Foundation
—
12
Global Heartcare Foundation
Health
How this is measured
The grantee most central to the portfolio’s shape is Sudden Arrhythmia Death Syndromes; the most unlike its peers is Ann & Robert H Lurie Children's Hospital of Chicago. 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 grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
8/8
Grantees still filing
4/8
Grew since first funded

Where the money sits, by cause and then by grantee

Ann & Robert H Lurie Children's Hospital of Chicago: $40,000 · HealthAnn & Robert H Lurie Children's Hospital of ChicagoWho We Play For Inc: $25,000 · HealthWho We Play For IncSUDDEN ARRHYTHMIA DEATH SYNDROMES: $15,000 · HealthSUDDEN ARRHYTHMIA DEATH SYNDROMESCody Stephens Go Big or Go Home Memorial Foundation: $15,000 · HealthCody Stephens Go Big or Go Home Memorial FoundationANDRA HEART FOUNDATION: $5,000 · HealthRAINFOREST TRUST: $34,017 · InternationalRAINFOREST TRUSTNICK OF TIME FOUNDATION: $10,000 · Public Safety & DisasterHEART FOR ATHLETES CHARITABLE TRUST: $5,000 · Other
Health$100,000International$34,017Public Safety & Disaster$10,000Other$5,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetAnn & Robert H Lurie Children's Hospital of Chicago: $40,000 over 1y, 0.0% of budgetRAINFOREST TRUST: $34,017 over 1y, 0.1% of budgetWho We Play For Inc: $25,000 over 1y, 2.5% of budgetSUDDEN ARRHYTHMIA DEATH SYNDROMES: $15,000 over 1y, 1.8% of budgetCody Stephens Go Big or Go Home Memorial Foundation: $15,000 over 1y, 6.1% of budgetNICK OF TIME FOUNDATION: $10,000 over 1y, 6.3% of budgetANDRA HEART FOUNDATION: $5,000 over 1y, 1.3% of budget
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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

American Online Giving Foundation IncDE6.7× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation Inc · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Max Schewitz Foundation funds: left to right is the share of its income from government, bottom to top the share from Max Schewitz Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%1%3%6%10%funder's share of their income ↑0%8%15%22%30%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–30%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Max Schewitz Foundation?

    Find your warmest path to Max Schewitz 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 from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 8 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its 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.

    Generated from the IRS Form 990 e-file return for fiscal year 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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