· Private foundation
MMH Foundation
Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
Read this first · the figures below need context
100% of MMH Foundation’s FY2025 grant dollars went to American Online Giving Foundation Inc, not to grantees.
Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2025 names 0 organizations directly, so a portfolio cannot be read from it.
Organizations named directly on the return
Amber years are those where most dollars went to a sponsor.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2025.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| American Online Giving Foundation | $500 |
| American Online Giving Foundation | $300 |
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.
Dollar for dollar, your grants (FY20–25) land where the poverty rate runs at 9%, against an area that typically sits at 7%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
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.
Where the work is directed
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 16% of MMH Foundation’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.
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.
7 grantees tracked through their own filings, 2017–2026.
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 2017–2026, not grant rows in a single year — so this will not match the grant count on the cover. 7 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.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
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 SARATOGA HIGH SCHOOL FOUNDATION ↗
- Who funds AMERICAN ONLINE GIVING FOUNDATION INC ↗
- Who funds Students For Fair Admissions Inc ↗
- Who funds THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY ↗
- Who funds SHERIFF'S ADVISORY BOARD OF SANTA CLARA COUNTY ↗
- Who funds INTERNATIONAL PERFORMING ARTS OF AMERICA ↗
- Who funds GIVE2ASIA ↗
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.
Open a dossier: Donor Advised Charitable Giving Inc
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 MMH 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.
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.