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· Private foundation
This foundation does not accept unsolicited requests — it funds preselected organizations.
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2020–2024.
Your grants by size, and where they go.
By grant size · FY2024
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY23–23, $50) land where the poverty rate runs at 7% — the area typically sits at 11%. 0% of those dollars reach neighborhoods with above-average need. Your grants skew toward lower-need ZIPs.
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; 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, United Way ALICE — shown as context about the area, never attributed to your giving.
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 +77% since the first grant, against +72% for the ones you funded once.
13 repeat relationships — 3 still active in FY2024, 10 since wound down; 1 grantees were first funded in FY2024 (too recent to call).
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, 97% of grant dollars renewed an existing relationship; $2k 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.
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.
Advancing the science of water to improve the quality of life.
the organization provides professional investment management services for endowed gifts and financial assets entrusted to the UCSF Foundation.
To advance the rights and opportunities of children and youth worldwide.
Allosource responsibly processes and distributes human donated tissue that enhances and saves lives.
Our mission is to advance philanthropic investment and impact in the nonprofit sector.we accomplish this by:- serving as a catalyst for the nonprofit sector to address the sector's greatest issues - acting as a convener between the…
We empower promising biomedical researchers through: a) financially supporting international collaborative research b) providing professional & career development c) creating a well-resourced networking platform
We unite our global community to advance women's leadership today and tomorrow.
We invest in media that provide the news, information and debate that people need to build free, thriving societies. mdif has invested more than $296 million in 146 independent news businesses in 47 countries since 1996. why we are here:…
A people-centered approach to the conservation of gorillas and their habitats in Africa
Increase the scale and effectiveness of impact investing to solve systemic problems facing people and the planet.
For reference, the grantee most central to the portfolio’s shape is Network for Good and the most unlike its peers is Mayo Clinic. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue.
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
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 tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Morgan Stanley Global Impact Funding Trust Inc · Network for Good · Donor Advised Charitable Giving Inc · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · 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.
Every dot is one organisation GRAVES TECHNOLOGIES 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. 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.
Through Plinth
This dossier was generated cold from public filings. In Plinth it’s a working system — every applicant assessed and every grant monitored. Here’s a taste, run on one of your grantees: MESA PUBLIC SCHOOLS FOUNDATION.
Agentic due diligence · confidence × risk
~19 months of operating runway; revenue grew over 7 filed years.
7 years of Form 990 filings, still active; revenue up 3.4× since.
US 501(c)(3); EIN 860550594 on file with current IRS Form 990 filings.
Board composition & governance documents — verified live in Plinth from the applicant.
OFAC / UN sanctions screening — run live in Plinth at assessment.
Staffing, M&E and activity alignment — assessed live in Plinth from submitted proposals.
Live · Plinth’s real DD engine
Run the actual assessment on MESA PUBLIC SCHOOLS FOUNDATION, cold from public data.
Generated live from public IRS filings + open web sources by Plinth’s agentic engine. Shown as an illustration of the product, not a formal assessment.
Post-award monitoring · continuous checks
What you see here is static and public. In Plinth it’s operational — the full six-pillar framework on every applicant (with their own documents + live registry and sanctions checks), monitoring dashboards on every award, custom board reports, and eligibility routing for intake.
Preview generated from this grantee’s public IRS filings and independent reporting. Pillars marked “live in Plinth” require the applicant’s submitted documents. Shown as illustration, not a formal assessment.
Warm introductions · Powered by PlinthPro
Find your warmest path to Graves Technologies Foundation through people who sit on both boards. Search for your organization and Plinth traces the introduction across shared trustees and officers.
Every link is a documented governance overlap in public IRS 990 filings — not a personal network — and each hop carries its own confidence tier. Low-confidence or distant paths are held back rather than guessed.