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· Public charity

Dreaming Out Loud Inc

Dreaming out loud's mission is to create economic opportunities for the dc metro regions marginalized community members through building a healthy, equitable food system.

$356k
Granted FY2025still arriving
12
Grants FY2025still arriving
4
States reached
$105k
Largest
01What it funds
01FY2025 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k1 grant · $10k
  • $10k–50k10 grants · $242k
  • $50k–250k1 grant · $105k
$31,300
Median grant
4
States reached
$7.1M
Total assets
Largest grants
RecipientAmount
DC CENTRAL KITCHEN$104,705
SPICE CREEK ENTERPRISE$45,000
STEPTOE FARM$40,600
DODO FARMS$40,500
EIGHTFOLD FARMS DC$33,000
OWL'S NEST FARM$31,300
BEAUTY BLOOMS$10,600
EVERMORE ORCHARD LLC$10,400
WOMEN ADVANCING NUTRITION$10,300
JFRAI FAMILY FARMS$10,000
PARKVIEW FARM$10,000
MARANATHA MOUNTAIN FARM$9,750
02The need
02

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 (FY20–25) land where the poverty rate runs at 12%, against an area that typically sits at 8%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%EVERMORE ORCHARD LLC: $10k → 9%DC CENTRAL KITCHEN: $105k → 14%MARANATHA MOUNTAIN FARM: $10k → 11%BEAUTY BLOOMS: $11k → 8%JFRAI FAMILY FARMS: $10k → 8%SPICE CREEK ENTERPRISE: $45k → 11%Garfield Terrace Senior Residents Council: $45k → 14%PARKVIEW FARM: $10k → 8%STEPTOE FARM: $41k → 11%Little Sesame: $20k → 14%DODO FARMS: $41k → 8%OWL'S NEST FARM: $31k → 11%EIGHTFOLD FARMS DC: $33k → 14%WOMEN ADVANCING NUTRITION: $10k → 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 field
03the grantee network

1 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. 1 of the 14 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)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

THE DC CENTRAL KITCHEN INC: $104,705 · OtherTHE DC CENTRAL KITCHEN INCSPICE CREEK ENTERPRISE: $45,000 · OtherSPICE CREEK ENTERPRISEMY SENIORS KEEPER FOUNDATION: $44,500 · OtherMY SENIORS KEEPER FOUNDATIONSTEPTOE FARM: $40,600 · OtherSTEPTOE FARMDODO FARMS: $40,500 · OtherDODO FARMSEIGHTFOLD FARMS DC LLC: $33,000 · OtherEIGHTFOLD FARMS DC LLCOWL'S NEST FARM: $31,300 · OtherOWL'S NEST FARMLITTLE SESAME: $20,000 · Other+6 more: $61,050 · Other+6 more
Other$420,655

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 budgetTHE DC CENTRAL KITCHEN INC: $104,705 over 1y, 0.3% 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.

  • Who funds THE DC CENTRAL KITCHEN INC ↗
04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Dreaming Out Loud Inc?

Find your warmest path to Dreaming Out Loud 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 14 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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