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· Private foundation

Meiychang 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.

$40k
Granted FY2017
8
Grants FY2017
4
States reached
$23k
Largest

Read this first · the figures below need context

100% of Meiychang Foundation’s FY2025 grant dollars went to Fidelity Investments Charitable Gift Fund, 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. Everything below is therefore FY2017, the last year Meiychang Foundation named its own grantees at scale: 5 organizations, $40k. It is dated, not current.

Organizations named directly on the return

5
’17
4
’18
0
’19
2
’20
3
’21
0
’22
0
’24
0
’25

Amber years are those where most dollars went to a sponsor.

01What it funds
0181% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Philanthropy$1.0MReligion$17kInternational$10kPublic Safety & Disaster$8kArts & Culture$6kHuman Services$3kFood & Nutrition$2kEducation$2kOther$0
02FY2017 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k7 grants · $17k
  • $10k–50k1 grant · $23k
$2,000
Median grant
4
States reached
$2.3M
Total assets
Largest grants
RecipientAmount
Individual grant recipient$23,000
DIRECT RELIEF$5,000
ALL HANDS VOLUNTEERS OFFICE$5,000
AGAINST MALARIA FOUNDATION$2,000
SAN JOSE TAIKO$2,000
IN TAISHAN BUDDHISM FOUNDATION$1,000
Individual grant recipient$1,000
AMERICAN BUDDHIST CULTURAL SOCIETY$1,000
02The need
03

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:

Its human-services grants (FY20–20, $2k) land where the poverty rate runs at 6%, against an area that typically sits at 9%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 9%GIVE DIRECT INC: $2k → 6%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.
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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

53%of every dollar goes to organizations it has funded before.
$60k · 5 repeat orgs$53k to everyone else

5 repeat relationships: 4 still active in FY2017, 1 since wound down; 17 grantees were first funded in FY2017 (too recent to call). Read against FY2017, the last year this funder named its own grantees directly; its giving has since run through a sponsor, which reports no donor behind each grant.

How the two cohorts compare

Re-uppedFunded once

Organizations

5
17

Total granted

$60k
$53k

Median revenue growth · since first grant

0%
+94%

Still filing today

60%
41%

New vs renewed · share of each year

In FY2021, 50% of grant dollars renewed an existing relationship; $2k went to new ones.

50%100%’17’18’19’20’21
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21
Arts & CultureEducationPublic Safety & DisasterInternationalHealthReligionOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • IG
    Individual grant recipient
    2× · 2017–2018 · $45k
  • SJ
    San Jose Taiko Group Inc
    2× · 2017–2018 · $5k · revenue -5%
  • TA
    The Against Malaria Foundation
    2× · 2017–2020 · $4k · revenue +29%

Funded once

  • IG
    Individual grant recipient
    one grant, 2019 · $16k
  • ZC
    ZEN CENTER OF SUNNYVALE
    one grant, 2018 · $10k
  • ALL HANDS AND HEARTS SMART RESPONSE INCgraduated
    one grant, 2017 · $5k · revenue +129%
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its 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
Humanitarian China

Provide humanitarian support in China. Help to develop a civil society in China. Promote rule-of-law,human rights, and freedom of expressions.Focus on grass-root and people who are neglected by the outside world

International
2
Buddhist Global Relief a Nj Nonprofit Corporation

To alleviate suffering, poverty and oppression through direct aid, economic and techinical assistance, education and other forms of charitable assistance to people in need throughout the world

International
3
Sharedimpact Foundation

Providing philanthropists, foundations and family offices access to social investment expertise by allowing the donors to give tax deductible donations worldwide through a social investment market.

Philanthropy
4
Transparent Fish Fund Inc

Transparent fish fund is a 501(c)(3) us non-profit organization founded in 2011 in palo alto, california, established exclusively for charitable purposes to connect credible chinese and east asian grassroots ngos with individuals from the…

International
5
GIVE2ASIA

Give2asia provides philanthropic services to individuals, foundations, corporations and charitable organizations in the united states and asia. give2asia matches donor interests and grantee mission and capacity to make international…

International
6
The American Fund for Charities

Our mission is to connect caring people with great causes worldwide.

—
7
American Friends of the Shanghai Museum Inc

Founded in 1995, the american friends of the shanghai museum is a not-for-profit organization whose mission is to raise awareness and financial support for the shanghai museum, continuing a distinguished history of patron support for…

Arts & Culture
8
San Francisco Guzheng Music Society
Arts & Culture
9
Ucsf Foundation Investment Company

The organization provides professional investment management services for endowed gifts and financial assets entrusted to the ucsf foundation.

Education
10
Food Forward Inc

Food forward fights hunger and prevents food waste by rescuing fresh surplus produce, connecting this abundance with people experiencing food insecurity, and inspiring others to do the same.

Food & Nutrition
11
Safe Artificial Intelligence Forum Institute

To drive global coordination that minimizes extreme AI risks and ensures the benefits of AI are shared by all. SAIF fosters responsible governance to reduce catastrophic risks through shared understanding and collaboration among key global…

—
12
Strategic Global Response

Strategic Global Response effectively and efficiently delivers life-saving care to people affected by humanitarian crises, in the most challenging situations on earth

Human Services
How this is measured
The grantee most central to the portfolio’s shape is Buddhist Tzu Chi Foundation; the most unlike its peers is The Soar 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 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. 11 of the 23 grantees resolved in that span have returns of their own we could reconcile.

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

0
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
11/11
Grantees still filing
6/11
Grew since first funded

Where the money sits, by cause and then by grantee

FIDELITY INVESTMENTS CHARITABLE GIFT FUND: $1,040,987 · Community ImprovementFIDELITY INVESTMENTS CHARITABLE GIFT FUNDIndividual grant recipient: $45,393 · OtherIndividual grant recipient: $15,975 · OtherZEN CENTER OF SUNNYVALE: $10,000 · Other+13 more: $19,200 · OtherSan Jose Taiko Group Inc: $5,000 · Arts & CultureCHINESE CULTURE FOUNDATION OF SAN FRANCISCO: $500 · Arts & CultureALL HANDS AND HEARTS SMART RESPONSE INC: $5,000 · Public Safety & DisasterDIRECT RELIEF: $5,000 · InternationalThe Against Malaria Foundation: $4,000 · HealthBUDDHIST TZU CHI FOUNDATION: $3,000 · Religion
Community Improvement$1,040,987Other$90,568Arts & Culture$5,500Public Safety & Disaster$5,000International$5,000Health$4,000Religion$3,000

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 budgetFIDELITY INVESTMENTS CHARITABLE GIFT FUND: $1,040,987 over 7y, 0.0% of budgetSan Jose Taiko Group Inc: $5,000 over 2y, 0.3% of budgetALL HANDS AND HEARTS SMART RESPONSE INC: $5,000 over 1y, 0.1% of budgetGIVEDIRECTLY INC: $2,000 over 1y, 0.0% of budgetSECOND HARVEST OF SILICON VALLEY: $1,000 over 1y, 0.0% of budgetMORINGA FOR LOVE: $1,000 over 1y, 0.4% of budgetTHE SOAR FOUNDATION: $500 over 1y, 0.1% of budgetCHINESE CULTURE FOUNDATION OF SAN FRANCISCO: $500 over 1y, 0.0% 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.

  • Who funds FIDELITY INVESTMENTS CHARITABLE GIFT FUND ↗
  • Who funds San Jose Taiko Group Inc ↗
  • Who funds ALL HANDS AND HEARTS SMART RESPONSE INC ↗
  • Who funds DIRECT RELIEF ↗
  • Who funds The Against Malaria Foundation ↗
  • Who funds BUDDHIST TZU CHI FOUNDATION ↗
  • Who funds GIVEDIRECTLY INC ↗
  • Who funds SECOND HARVEST OF SILICON VALLEY ↗
  • Who funds MORINGA FOR LOVE ↗
  • Who funds THE SOAR FOUNDATION ↗
  • Who funds CHINESE CULTURE FOUNDATION OF SAN FRANCISCO ↗

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 IncDE7.8× 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

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 Meiychang Foundation funds: left to right is the share of its income from government, bottom to top the share from Meiychang Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 20%0%1%3%5%funder's share of their income ↑0%4%8%11%15%share of the org’s income from government →
    no gov moneyreceives it· size = income
    2get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–15%
    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.

    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 23 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-PF e-file return for fiscal year 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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