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· Public charity

Shabbat Angels Inc

Shabbat Angels was founded in February of 2021 with the initial goal of alleviating the financial burden felt by so many Jewish families around the time of Shabbat and Chagim.

$341k
Granted FY2024still arriving
12
Grants FY2024still arriving
—
States reached
$25k
Largest
01What it funds
01FY2024 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 12 grants below total $171,378, the rows itemized in this filing. The $341,016 headline is the total grant expense on the return; the other $169,638 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 · FY2024

  • Under $10k3 grants · $18k
  • $10k–50k9 grants · $153k
$14,150
Median grant
—
States reached
$218k
Total assets
Largest grants
RecipientAmount
Glatt 27$24,902
Individual grant recipient$22,400
Individual grant recipient$20,650
W Fresh$19,204
Shop Glatt Mart Inc$16,100
K R M$14,150
Evergreen Kosher LLC$12,250
Grand and Essex Market$12,028
Market Place Supermarket$11,744
A to Z$7,550
Arons Kissena Farm$5,200
Individual grant recipient$5,200
02The need
02

Where the grant dollars land

Across the US and around the world.

Grants abroad, by region: $63k on the FY2024 return

Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Middle East and North Africa$63k · 100% · 1 grant

Stated purpose: Meals to families in need.

How this is measured
Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
03Its field
03the grantee network

0 grantees tracked through their own filings, 2024–2024.

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

How this is measured

Counted here: distinct organizations funded across 2024 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 12 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

Glatt 27: $24,902 · OtherGlatt 27Individual grant recipient: $22,400 · OtherIndividual grant recipientIndividual grant recipient: $20,650 · OtherIndividual grant recipientW Fresh: $19,204 · OtherW FreshShop Glatt Mart Inc: $16,100 · OtherShop Glatt Mart IncK R M: $14,150 · OtherK R MEvergreen Kosher LLC: $12,250 · OtherEvergreen Kosher LLCGrand and Essex Market: $12,028 · OtherGrand and Essex MarketMarket Place Supermarket: $11,744 · OtherMarket Place SupermarketA to Z: $7,550 · Other+2 more: $10,400 · Other+2 more
Other$171,378

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Shabbat Angels Inc?

Find your warmest path to Shabbat Angels Inc through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

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 12 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

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