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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: 70% of MIKE A MYERS 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.
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
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY20–24, $31k) land where the poverty rate runs at 13% — the area typically sits at 8%. 84% of those 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 16% of MIKE A MYERS FOUNDATION’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.
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.
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
33 repeat relationships — 9 still active in FY2024, 24 since wound down; 14 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, 23% of grant dollars renewed an existing relationship; $700k 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.
As a christian university, we provide education and research opportunities preparing global leaders to partner with local communities.
To ensure that the student body experiences balanced intellectual, psychological, social and spiritual development, aimed at enabling them to become active productive members of society where they live and work.
To promote and support the administration of justice through continued legal education of criminal d
Private christian school education - preschool through high school.
The Foundation solicits charitable contributions and provides funding to enhance the rule of law and the system of justice in Texas.
To advocate the interest and enhance the viability of hospitals in dallas, fort worth, and north texas and to strengthen the relationship of hospitals to the communities they serve
Our mission is that by 2040, at least half of all 25 to 34 year old residents of Dallas County, irrespective of race, will earn a living wage.
As the North Texas affiliate of the National Christian Foundation (NCF), our mission is to serve and encourage givers to grow as faithful stewards who give wisely to further the Gospel of Jesus Christ.
To lead and serve in the moments that matter the most for the people of dallas.
Annually, the Texas Business Hall of Fame inducts six transformational business leaders and funds an awards program for up to 40 entrepreneurial students in the higher education space, veteran company, high school business education space…
The cambridge school of dallas was formed in 2001 and is a college preparatory, non-denominational christian school established for the purpose of providing academic excellence in a christ-centered environment.
To support the mission of Dallas Theological Seminary by offering charitable planned giving and other related services to friends of the Seminary.
For reference, the grantee most central to the portfolio’s shape is Communities Foundation of Texas Inc and the most unlike its peers is Adaptive Training Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 35 years old; the field is 11. You back the established end — and your money leans older still.
The field is 29% startups (under 5 years old) — 3% of your grantees by number, and just 11% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 14% 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.
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: Communities Foundation of Texas Inc · The Dallas Foundation · W P & Bulah Luse Foundation · United Way of Metropolitan Dallas Inc · Hillcrest Foundation · Texas Instruments Foundation · The Rees-Jones Foundation · The Moody Foundation · Katherine C Carmody Charitable Tuw · The Florence Foundation · David M Crowley Foundation · Hattie Mae Lesley Foundation Inc
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 MIKE A MYERS 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: DALLAS CO COMMUNITY COLLEGE.
Agentic due diligence · confidence × risk
~448 months of operating runway; revenue contracted over 6 filed years.
6 years of Form 990 filings, still active.
US 501(c)(3); EIN 751589245 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 DALLAS CO COMMUNITY COLLEGE, 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 Mike a Myers 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.