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· Private foundation
This foundation accepts unsolicited grant applications.
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2020–2024.
Your grants by size, and where they go.
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Dollar for dollar, your grants (FY20–24) land where the poverty rate runs at 11% — the area typically sits at 8%. 100% 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.
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
27 repeat relationships — 21 still active in FY2024, 6 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.
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.
The kentucky humane society is a champion for companion animals, through leadership, education and proactive solutions, we are creating more compassionate communities.
Rescue of abused or abandoned animals
Compassionately serving pets and the people who love them.
Our mission is to help herding dogs who are abandoned, neglected and abused or simply in the wrong home into a loving appropriate home.
Mission: To save the most vulnerable animals and enrich the lives of pets and people.
To reduce the number of abandoned, neglected, and abused dogs in shelters within Colorado, Texas, and New Mexico by providing loving foster homes and medical care, facilitating adoptions, and funding low cost spay and neuter services.
Rescues dogs, rehomes German shepherds, and provides medical and shelter care.
Lucky Day Animal Rescue of Colorado LDAR serves the public as a 501c3 tax exempt, non-profit organization dedicated to the rescue of homeless and abandoned animals in Colorado and surrounding areas. We rescue, rehabilitate and find homes…
For reference, the grantee most central to the portfolio’s shape is Animal Rescue of the Rockies and the most unlike its peers is The Humane Society of Boulder. 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: Colorado Gives Foundation · El Pomar Foundation · Animal Assistance Foundation · Lucile Drinkwater Allen Trust · Mary Elizabeth Bates Foundation · Lauretta Boyd Charitable Trust · Petco Love · Otter Cares Foundation · BISSELL Pet Foundation · Pedigree Foundation · Xcel Energy Foundation · Dr Mary Bates Trust 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 ALICE JENKINS 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: BORN FREE WILDLIFE REHABILITATION.
Agentic due diligence · confidence × risk
Limited financial data in public filings.
6 years of Form 990 filings, still active.
US 501(c)(3); EIN 841305611 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 BORN FREE WILDLIFE REHABILITATION, 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 Alice Jenkins 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.