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· Public charity
hopa mountain invests in rural and tribal citizen leaders, adults, and youth who are improving education, ecological health, and economic development.
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2017–2024.
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.
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY20–23, $122k) land where the poverty rate runs at 13% — the area typically sits at 11%. 20% of those dollars reach neighborhoods with above-average need. Your grants skew toward lower-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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +100% since the first grant, against +18% for the ones you funded once.
11 repeat relationships — 0 still active in FY2024, 11 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, 0% of grant dollars renewed an existing relationship; $10k 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.
To collaborate with people across the state on local, regenerative, and culturally specific food systems that aim to protect, cultivate, distribute, and increase access to indigenous foods through the exchange of knowledge, skills, and…
Enhancement and development of trails on public lands in Beaverhead County
Research, develop, and administer social and economic development programs to meet the needs of indian and native american communities.
Cccc provides opportunities that lead to student independence and self-sufficiency through academic achievement and continuation of spirit lake dakota language and culture.
Citc's (cook inlet tribal council) mission is to work in partnership with alaska native/american indian individuals to connect them to opportunities that fulfill their potential through education and training, child and family services,…
Tanana Chiefs Conference provides a unified voice in advancing sovereign tribal governments through the promotion of physical and mental wellness, education, socioeconomic development, and culture of the interior Alaska native people.
The mission of MPCDC is to support and foster the work of the Coalition to strengthen the economic health of Native communities in the Mountain Plains region of Wyoming Montana South Dakota and North Dakota
Provide educational and cultural leadership to the residents of the northern cheyenne reservation and surrounding commmunities.
The Organization's mission is to provide excellent services witin a foundation of cultural values that help meet the needs of the American Indian community. The Organization offers services to the American Indian community in Minneapolis,…
Indigenous Regeneration exists to inspire Native Communities on re-generative living concepts, through food cultivation, medicinal farming, culture, and eco-village educational programs, to achieve re-indigenization and true Tribal…
To provide opportunities in higher education to its students as an institution of higher education chartered by the menominee people, the college infuses this education with american indian culture, preparing students for leadership,…
Our mission is to promote self-sustaining economic development for native americans by offering capacity-building access to capital and culturally empowered support to grow native homes and communities.
For reference, the grantee most central to the portfolio’s shape is Messengers for Health and the most unlike its peers is Autry Museum of the American West. 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 28 years old; the field is 19. You back the established end — and your money leans older still.
The field is 18% startups (under 5 years old) — 4% of your grantees by number, and just 6% of your money.
The orgs you fund almost never close — 6% lost their exemption, against 7% 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: First Nations Development Institute · The Kendeda Fund · Montana Community Foundation Inc · Montana Healthcare Foundation · Seventh Generation Fund · The Steele-Reese Foundation Xxxxx1004 · Otto Bremer Trust · Ndn Collective Inc · Dennis & Phyllis Washington Foundation · Oro y Plata Foundation · Potlatch Fund · Charlotte y Martin Foundation-Ima
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 HOPA MOUNTAIN 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: Piegan Institute.
Agentic due diligence · confidence × risk
~17 months of operating runway; revenue grew over 8 filed years.
8 years of Form 990 filings, still active.
US 501(c)(3); EIN 363566677 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 Piegan Institute, 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 Hopa Mountain 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.