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· Private foundation
This foundation does not accept unsolicited requests — it funds preselected organizations.
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 78% of Michael Fredrich Charitable Foundation’s grantee dollars go to organizations outside the IRS cause taxonomy (common for large international and research funders), so a chart would be mostly “unclassified” and misrepresent the portfolio.
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 10% — the area typically sits at 8%. 97% 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.
22 repeat relationships — 19 still active in FY2024, 3 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, 99% of grant dollars renewed an existing relationship; $100 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.
Waterway conservation. Protecting waterways.
Protect, manage and preserve lands and wildlife having unique natural resources and cultural qualities within and near the foothills of the sierra nevada range.
To maintain and enhance the tahoe rim trail system, practice and inspire stewardship, and preserve recreational access to the natural beauty of the lake tahoe region.
Enhancement and development of trails on public lands in Beaverhead County
Conservation of agricultural lands, open space, wildlife habitat and natural resources within butte, glenn, and tehama counties.
Dedicated to working with land owners to protect conservation-worthy land and natural resources of southern wisconsin.
Establish conservation easements in Yuba, Sutter, and Colusa counties. Work with 3 county landowners and governmental agencies to protect the Sutter Buttes and surrounding region.
The Siskiyou Land Conservancy is a state and federally approved non-profit organization that assists landowners who want to protect the natural values of their land, either through purchase or establishment of conservation easements.
Katmai Conservancy supports the preservation of Katmai National Park and Preserve its unique ecosystems scenic character and associated natural and cultural resources by promoting greater public interest appreciation and support through…
For reference, the grantee most central to the portfolio’s shape is Truckee Donner Land Trust and the most unlike its peers is Livermore Valley Performing Arts 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: Silicon Valley Community Foundation · American Endowment Foundation · Vanguard Charitable Endowment Program · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · Donor Advised Charitable Giving Inc · 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 Michael Fredrich Charitable 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: NORTH HIGH BOOSTER CLUB.
Agentic due diligence · confidence × risk
~38 months of operating runway; revenue held over 6 filed years.
6 years of Form 990 filings, still active.
US 501(c)(3); EIN 394178671 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 NORTH HIGH BOOSTER CLUB, 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 Michael Fredrich Charitable 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.