· Private foundation
The Fountain of Knowledg 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.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2024.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| HUDA SCHOOL | $20,000 |
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 (FY17–24) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 55% of your dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.
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.
Which US states your grants reach
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.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +86% since the first grant, against +41% for the ones you funded once.
43 repeat relationships — 1 still active in FY2024, 42 since wound down.
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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
- AFALALUSI FOUNDATION2× · 2022–2023 · $101k · revenue +54%
- HSHUDA SCHOOL2× · 2023–2024 · $40k · revenue +27%
- LFLIFE FOR RELIEF AND DEVELOPMENT INC2× · 2017–2018 · $9k · revenue +342%
Funded once
- QQALAMone grant, 2021 · $10k
- IGIndividual grant recipientone grant, 2022 · $10k
- GCGUIDANCE COLLEGE INCone grant, 2022 · $10k · revenue +19%
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
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.
Provide help to people who are victims of natural disasters or conflicts or suffering from poverty, hunger, disease, illiteracy, discrimination, homelessness, debt, unemployment, injustice, or lack of skills or economic opportunity.
Human Rights Project
Develop long-term developmental projects aimed at providing a sustainable living for poor communities as well as supporting needy widows and orphans
International Institute of Islamic Medicine (IIIM) acquires and disseminates knowledge of the rich history of Islamic medicine and fosters its contemporary application
To spread islamic values to the globe through media
For reference, the grantee most central to the portfolio’s shape is Baitulmaal Inc and the most unlike its peers is Alalusi Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.
Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.
Your grantees are a median of 21 years old; the field is 17. You back the established end — and your money leans older still.
The field is 20% startups (under 5 years old) — 2% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 2% lost their exemption, against 12% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
38 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 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 38 of the 84 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 ALALUSI FOUNDATION ↗
- Who funds HUDA SCHOOL ↗
- Who funds GUIDANCE COLLEGE INC ↗
- Who funds LIFE FOR RELIEF AND DEVELOPMENT INC ↗
- Who funds AMOUD FOUNDATION ↗
- Who funds ISLAMIC MEDICAL ASSOCIATION OF NORTH AMERICA ↗
- Who funds MUSLIM LEGAL FUND OF AMERICA ↗
- Who funds DAR ALSALAM ISLAMIC CENTER ↗
- Who funds PURE HANDS INC ↗
- Who funds Health Unit on Davison Avenue ↗
- Who funds ISLAMIC RELIEF USA ↗
- Who funds Women for Humanity ↗
- Who funds ISLAMIC ASSOCIATION OF GREATER DETROIT ↗
- Who funds ISLAMIC ORGANIZATION OF NORTH AMERICA ↗
- Who funds COUNCIL OF ISLAMIC ORGANIZATION ↗
- Who funds Mercy Without Limits ↗
- Who funds United Mission For Relief & Development ↗
- Who funds ISLAMIC CULTURAL ASSOCIATION ↗
- Who funds THE QURAN INSTITUTE OF AMERICA ↗
- Who funds BAITULMAAL INC ↗
- Who funds Zaytuna College Inc ↗
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.
Open a dossier: The Tabbaa Foundation · American Muslim Community Foundation · The Abu Akeel Foundation · The Syed Foundation · The Bitar Foundatiuon · Dr Nussri Foundation · The Kashlan Foundation · Sattar Family Foundation · Nakadar Foundation · Noor Munshi Foundation · The Kadry Foundation · The Symn 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 The Fountain of Knowledg 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.