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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 FY2021–2024.
Beneath the NTEE codes, this is what the grant descriptions actually say.
…and in their own words, year by year
Words distinctive to each year’s grant purposes (TF-IDF) · event-driven terms in cyan.
Your grants by size, and where they go.
By grant size · FY2024
Largely a single collection — about 91% of reported assets are Photographs And Films.
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY21–24) land where the poverty rate runs at 17% — the area typically sits at 14%. 89% of your dollars reach neighborhoods with above-average need. 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 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.
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 15% of THE JUNE LEAF AND ROBERT FRANK FDN INC’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. Read by recipient address, 59% of the giving stays in NY; read by stated purpose it is 39% — less of the work is directed home than the recipients' locations suggest.
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.
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.
The Museum of Modern Art connects people from around the world (Continued in Schedule O)
The mission of the museum of arts and design (mad) is to collect, display, and interpret objects that document contemporary and historic innovation in craft, art, and design. in its exhibitions and educational programs, the museum…
The Frick Collection (the "Collection") operates an internationally recognized art museum and library program for the inspiration and enjoyment of the public and for the advancement of the study of fine arts and kindred subjects.
Please see mission statement on form 990, page 2, part iii, line 1.
Enhance appreciation of contemporary art through education, programming and exhibitions.
Creation and operation of world class contemporary art museum and securing related funding.
The museum of fine arts houses and preserves preeminent collections and aspires to serve a wide variety of people through direct encounters with works of art in order to encourage inquiry and to heighten public understanding and…
The philadelphia museum of art is committed to being the cultural heart of philadelphia. (sch o)pma is a national and international destination for art, but first and foremost we are philadelphia's museum for all the many diverse…
The Art Institute of Chicago, a not-for-profit corporation, is both a museum and an institution of higher education that exists to provide appreciation and education in visual fine arts and design.
Enhances the lives of our varied communities by bringing people and art together.
For reference, the grantee most central to the portfolio’s shape is Marian and Edward Macdowell Inc and the most unlike its peers is Blue Mountain Center. 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: Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund
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 THE JUNE LEAF AND ROBERT FRANK FDN INC 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: ANTHOLOGY FILM ARCHIVES.
Agentic due diligence · confidence × risk
~8 months of operating runway; revenue held over 7 filed years.
7 years of Form 990 filings, still active.
US 501(c)(3); EIN 136227423 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 ANTHOLOGY FILM ARCHIVES, 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 The June Leaf and Robert Frank Fdn Inc 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.