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Storm the Heavens at a glanceAlso receives grants: funding profile →

· Public charity

Storm the Heavens

To put an end to dipg through prayer, research and awareness.

$165k
Granted FY2024still arriving
3
Grants FY2024still arriving
3
States reached
$100k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its 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, FY2018 to 2024.

Health$528kScience & Tech$50k
02FY2024 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • $10k–50k2 grants · $65k
  • $50k–250k1 grant · $100k
$40,000
Median grant
3
States reached
$325k
Total assets
Largest grants
RecipientAmount
PNOC Foundation$100,000
Tough2gether Against DIPG Fund$40,000
ChadTough Defeat DIPG Foundation$25,000
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:

Its human-services grants (FY23–24, $50k) land where the poverty rate runs at 14%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%ChadTough Defeat DIPG Foundation: $25k → 14%ChadTough Defeat DIPG Foundation: $25k → 14%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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

40%of every dollar goes to organizations it has funded before.
$232k · 3 repeat orgs$346k to everyone else

3 repeat relationships: 2 still active in FY2024, 1 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
4

Total granted

$232k
$246k

Median revenue growth · since first grant

+23%
+23%

Still filing today

100%
75%

New vs renewed · share of each year

In FY2024, 39% of grant dollars renewed an existing relationship; $100k went to new ones.

50%100%’18’19’20’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’18’19’20’23’24
HealthHuman ServicesOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • TF
    TOUGH2GETHER FOUNDATION
    2× · 2023–2024 · $95k
  • TC
    THE CURE STARTS NOW INC
    3× · 2018–2020 · $87k · revenue +23%
  • CD
    CHADTOUGH DEFEAT DIPG FOUNDATION
    2× · 2023–2024 · $50k · revenue -1%

Funded once

  • CC
    Childrens Cancer Therapy Development Institute
    one grant, 2018 · $161k · revenue +9%
  • UO
    UNIVERSITY OF CALIFORNIA SAN FRANCISCO
    one grant, 2023 · $50k
  • AL
    ALEXS LEMONADE STAND FOUNDATION
    one grant, 2019 · $25k · revenue +23%
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

7 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. 7 of the 8 grantees resolved in that span have returns of their own we could reconcile.

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

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
7/7
Grantees still filing
6/7
Grew since first funded

Where the money sits, by cause and then by grantee

THE PACIFIC PEDIATRIC NEURO-ONCOLOG CONSORTIUM FOUNDATION: $100,000 · HealthTHE PACIFIC PEDIATRIC NEURO-ONCOLOG CONSORTIUM FOUNDATIONTOUGH2GETHER FOUNDATION: $94,700 · HealthTOUGH2GETHER FOUNDATIONTHE CURE STARTS NOW INC: $87,000 · HealthTHE CURE STARTS NOW INCDRAGON MASTER INITIATIVE: $10,000 · HealthChildrens Cancer Therapy Development Institute: $161,044 · OtherChildrens Cancer Therapy Development InstituteUNIVERSITY OF CALIFORNIA SAN FRANCISCO: $50,000 · OtherUNIVERSITY OF CALIFORNIA SAN FRANCISCOALEXS LEMONADE STAND FOUNDATION: $25,000 · OtherALEXS LEMONADE STAND FOUNDATIONCHADTOUGH DEFEAT DIPG FOUNDATION: $50,000 · Human ServicesCHADTOUGH…
Health$291,700Other$236,044Human Services$50,000

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetChildrens Cancer Therapy Development Institute: $161,044 over 1y, 7.4% of budgetTHE PACIFIC PEDIATRIC NEURO-ONCOLOG CONSORTIUM FOUNDATION: $100,000 over 1y, 5.4% of budgetTOUGH2GETHER FOUNDATION: $94,700 over 2y, 5.2% of budgetTHE CURE STARTS NOW INC: $87,000 over 3y, 0.9% of budgetCHADTOUGH DEFEAT DIPG FOUNDATION: $50,000 over 2y, 0.3% of budgetALEXS LEMONADE STAND FOUNDATION: $25,000 over 1y, 0.1% of budgetDRAGON MASTER INITIATIVE: $10,000 over 1y, 3.4% 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 set of overlaps that mostly run through this funder rather than between each other.

Donor Advised Charita…
Donor Advised Charitable Giving IncCO7.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving Inc

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 Storm the Heavens funds: left to right is the share of its income from government, bottom to top the share from Storm the Heavens. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%1%3%6%10%funder's share of their income ↑0%13%25%38%50%share of the org’s income from government →median 44%
  • Childrens Cancer Therapy Development Institute: 44% of income from government
no gov moneyreceives it· size = income
1get no government money at all
1report 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 8 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

Play a game based on Storm the Heavens’ 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