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· Public charity
Partner to alleviate hunger one meal at a time.
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.
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
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 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.
Our vision: every individual in our community has support in a time of need.
Food Pantry.
To provide a Mens emergency homeless shelter in Ludington Michigan
The Mission of Loon Lake Food Pantry & Resource Center is to feed the hungry and provide food to persons in need, to establish support systems that promote and maintain the food bank, and to assist in the resource development and growth of…
To provide free food to jobless, homeless and needy.
Provide meals for the needy in isabella county, michigan
Provide meals food showers and laundry services to those in need
To provide soup kitchen and food distribution to the hungry.
We are a faith based organization serving as a resource center to meet basic human needs in our community
provide food and Shelter to the needed population
Food Security
Provide emergency food for those in need.
For reference, the grantee most central to the portfolio’s shape is Siren Eaton Shelter and the most unlike its peers is Sparrow Clinton Hospital. 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 38 years old; the field is 21. You back the established end — and your money leans older still.
The field is 19% startups (under 5 years old) — 5% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 8% 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.
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: Capital Region Community Foundation · Consumers Energy Foundation · Community Foundation for Southeast · WK Kellogg Foundation · 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.
Warm introductions · Powered by PlinthPro
Find your warmest path to Greater Lansing Food Bank 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.