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· Private foundation

Chandramohan Family 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.

$85k
Granted FY2024still arriving
4
Grants FY2024still arriving
1
States reached
$25k
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 FY20202024.

Health$100kEducation$50kCivil Rights$40kHousing & Shelter$30kInternational$25kSocial Science$10kHuman Services$6k
02FY2024 · 4 grants

Where the money goes

Your grants by size, and where they go.

$20,000
Median grant
1
States reached
$2.1M
Total assets
Largest grants
RecipientAmount
DOOR OF HOPE$25,000
CASA OF LOS ANGELES$20,000
FOUNDATION OF GOODNESS$20,000
SRI LANKA FOUNDATION$20,000
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 (FY23–23, $6k) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%EVERY CHILD FOUNDATION: $6k → 14%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
Sri Lanka Helping Hands
Philanthropy
2
Sri Lanka Medical Association North America Eastern Region Inc

Basic health care, to those who need it and can not afford it.

3
Raise Sri Lanka

Support housing medical and educational support for the less fortunate children families

Philanthropy
4
Shraman Foundation
Arts & Culture
5
Sharanalayam

Charity organization

Education
6
Lamrim Foundation
7
Cardinal Lourdusamy Foundation

Charitable, Educational, Religious and Social help to the needy people

8
Agapao Foundation

The agapao foundation is an evangelical christian organization whose mission is to provide relief to the poor, orphans, widows, the sick and the distressed around the world by showing god's love in action through compassion.

Religion
9
Revive to Survive

Donate Essential Medication & Equipment.

International
10
Viju & Asha Charitable Foundation
11
Sri Sarada Foundation
Philanthropy
12
Jaya Charitable Foundation
Philanthropy

For reference, the grantee most central to the portfolio’s shape is Clarendon Foundation and the most unlike its peers is Sri Lanka 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

10 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.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
10/10
Grantees still filing
4/10
Grew since you first funded

Where your money sits — by cause, then by grantee

SRI LANKA MEDICAL ASSOCIATION OF NORTH AMERICA INC — $100,000 · HealthSRI LANKA MEDICAL ASSOCIATION OF NORTH AMER…CASA OF LOS ANGELES — $40,000 · Civil RightsCASA OF LOS ANGEL…EMPOWER SERENDIB — $40,000 · InternationalEMPOWER SERENDIBDOOR OF HOPE — $25,000 · OtherDOOR OF HOPECLARENDON FOUNDATION — $5,000 · OtherCLARENDON FOUNDAT…The Everychild Foundation — $6,000 · OtherThe Everychild Fo…LOS ANGELES MISSION INC — $5,000 · OtherLOS ANGELES MISSI…SRI LANKA FOUNDATION — $20,000 · PhilanthropyVIJAY AMRITRAJ FOUNDATION — $10,000 · Social ScienceThomian Alumni of California — $10,000 · Education
Health$100,000Civil Rights$40,000International$40,000Other$41,000Philanthropy$20,000Social Science$10,000Education$10,000

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$10Mgrantee revenue →↑ your share of their budgetSRI LANKA MEDICAL ASSOCIATION OF NORTH AMERICA INC — $100,000 over 1y, 87% of budgetCASA OF LOS ANGELES — $40,000 over 2y, 0.3% of budgetEMPOWER SERENDIB — $40,000 over 2y, 17% of budgetDOOR OF HOPE — $25,000 over 1y, 0.3% of budgetSRI LANKA FOUNDATION — $20,000 over 1y, 1.3% of budgetVIJAY AMRITRAJ FOUNDATION — $10,000 over 1y, 2.9% of budgetThomian Alumni of California — $10,000 over 1y, 17% of budgetThe Everychild Foundation — $6,000 over 1y, 0.5% of budgetCLARENDON FOUNDATION — $5,000 over 1y, 1.6% of budgetLOS ANGELES MISSION INC — $5,000 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 set of overlaps that mostly run through you, not between each other.

Amazonsmile FoundationWA2.1× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Chandramohan Family 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
202122232425
no gov · 10%6%23%51%90%your share of their income ↑0%4%8%11%15%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 · 0–15%
    typical government reliance, FY2025

    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 10 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 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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