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WSL Pure at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

WSL Pure

WSL PUREs mission is to inspire educate and empower ocean protection starting with the global surf community.

$233k
Granted FY2023
3
Grants FY2023
1
States reached
$25k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2023.

Science & Tech$209kEnvironment$174k
02FY2023 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $43,500, the rows itemized in this filing. The $233,454 headline is the total grant expense on the return; the other $189,954 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2023

  • Under $10k1 grant · $9k
  • $10k–50k2 grants · $35k
$10,000
Median grant
1
States reached
$357k
Total assets
Largest grants
RecipientAmount
Kokua Hawaii Foundation$25,000
North Shore Community Land Trust$10,000
Mega Lab$8,500
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY17–23) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 72% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%ONE WORLD BRIDGE: $25k → 11%Heal the Bay: $20k → 14%Kokua Hawaii Foundation: $25k → 9%Mega Lab: $9k → 15%Ocean Policy Lab dba Urban Ocean Lab: $10k → 16%COLUMBIA UNIVERSITY: $200k → 17%Conservation International Foundation: $25k → 7%Wildcoast: $13k → 11%Malama Pupukea-Waimea: $20k → 9%North Shore Community Land Trust: $10k → 9%Na Kama Kai: $27k → 9%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
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.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
The Coral Reef and Marine Science Foundation Inc C/O James Bildner
—
2
Ocean Alliance Project

Protecting and promoting the marine biodiversity of Hawai'i through coral restoration, ecological monitoring, regenerative tourism, and cultural integration

Science & Tech
3
Clean Reefs
Environment
4
Na Mamo o Kawa

to rehabilitate, curate, and steward the natural and cultural resources of Kawa to honor the past, benefit the present, and preserve for the future generations of Ka'u, the Island of Hawaii and all humankind.

Environment
5
The Coral Reef Alliance

Our research has demonstrated that corals can adapt to the effects of environmental stressors if immediate threats are reduced and if we protect healthy, ecologically connected networks of reefs.

Environment
6
Malama Kua Aina
Environment
7
Ocean Conservancy

Ocean conservancy unites science, people, and policy to protect our ocean, today and for generations to come.

Environment
8
Coastal Conservation & Research

Provide scientific, environmental research and education for environmental conservation, preservation, restoration, recycling, and environmental planning

Environment
9
Coral Conservancy
—
10
Schmidt Ocean Institute
Science & Tech
11
Malama Haleakala Foundation

Support the protection of the vital terrestrial and near-shore ecosystems of haleakala

Environment
12
Hui o Koolaupoko

Hui o ko'olauipoko's mission is to protect ocean health by restoring the aina (land). hui o ko'olaupoko accomplishes this by educating the public about non-point source pollution, restoration projects and scientific data collection.

Environment
How this is measured
The grantee most central to the portfolio’s shape is Na Kama Kai; the most unlike its peers is University of Hawaii Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

11 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
5
Early backer (in before they grew)
10/11
Grantees still filing
9/11
Grew since first funded

Where the money sits, by cause and then by grantee

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK: $200,000 · EducationTHE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORKONE WORLD BRIDGE: $25,000 · EducationONE WORLD BRIDGEUNIVERSITY OF HAWAII FOUNDATION: $8,500 · EducationNA KAMA KAI: $27,000 · EnvironmentNA KAMA KAICONSERVATION INTERNATIONAL FOUNDATION: $25,000 · EnvironmentCONSERVATION INTERNATIONAL FOUNDATI…KOKUA HAWAII FOUNDATION: $25,000 · EnvironmentKOKUA HAWAII FOUNDATIONHEAL THE BAY: $20,000 · EnvironmentHEAL THE BAYWILDCOAST: $12,500 · EnvironmentWILDCOASTTHE NORTH SHORE COMMUNITY LAND TRUST: $10,000 · EnvironmentTHE NORTH SHORE COMMUNITY LAND TRUS…MALAMA PUPUKEA-WAIMEA: $19,850 · Arts & CultureOCEAN POLICY LAB INC: $10,000 · Other
Education$233,500Environment$119,500Arts & Culture$19,850Other$10,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetTHE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK: $200,000 over 1y, 0.0% of budgetNA KAMA KAI: $27,000 over 1y, 5.9% of budgetCONSERVATION INTERNATIONAL FOUNDATION: $25,000 over 1y, 0.0% of budgetKOKUA HAWAII FOUNDATION: $25,000 over 1y, 1.8% of budgetONE WORLD BRIDGE: $25,000 over 1y, 14% of budgetHEAL THE BAY: $20,000 over 1y, 0.4% of budgetWILDCOAST: $12,500 over 1y, 0.4% of budgetTHE NORTH SHORE COMMUNITY LAND TRUST: $10,000 over 1y, 1.6% of budgetOCEAN POLICY LAB INC: $10,000 over 1y, 5.3% of budgetUNIVERSITY OF HAWAII FOUNDATION: $8,500 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

PatagoniaorgNetwork for GoodDonor Advised Charita…Fidelity Investments …Amazonsmile Foundation
PatagoniaorgCA15.4× affinity5 shared granteesties to 4 of 4Hover any node to trace its alignments.Compare side by side →

Open a dossier: Patagoniaorg · Network for Good · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization WSL Pure funds: left to right is the share of its income from government, bottom to top the share from WSL Pure. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%4%8%15%funder's share of their income ↑0%13%25%38%50%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    4report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–50%
    typical government reliance, FY20–25
    How this is measured
    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: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 11 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990 e-file return for fiscal year 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record and reports $180k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2023, the most recent year this funder named its grantees.

    Source object · view filing

    Play a game based on WSL Pure’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home