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84000 at a glanceAlso receives grants: funding profile →

· Public charity

84000

Translating the words of the buddha; the organization aims to translate all of the buddha's words into modern languages, and to make them available to everyone, free of charge.

$1.8M
Granted FY2024still arriving
1
Grants FY2024still arriving
1
States reached
$48k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
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 2024.

Religion$337kEducation$143kScience & Tech$48kArts & Culture$46k
02FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $48,000, the rows itemized in this filing. The $1,847,940 headline is the total grant expense on the return; the other $1,799,940 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.
$48,000
Median grant
1
States reached
$14M
Total assets
Largest grants
RecipientAmount
DINNER TECHNOLOGIES INC$48,000
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:

Dollar for dollar, its grants (FY17–24) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 85% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%CURTIS JONESCURJO LLC: $46k → 12%UC SANTA BARBARA FOUNDATION: $58k → 14%SAMYE: $6k → 13%TSECHEN KUNCHAB LING: $28k → 14%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $67k → 17%DINNER TECHNOLOGIES INC: $48k → 13%UW-MADISON: $25k → 10%THE RECTOR AND VISITORS OF THE UNIVERSITY OF VIRGINIA: $85k → 8%REGENTS OF THE UNIVERSITY OF CALIFORNIA SANTA BARBARA: $25k → 14%SAMYE INSTITUTE: $6k → 13%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $55k → 17%REGENTS OF THE UNIVERSITY OF CALIFORNIA SANTA BARBARA: $25k → 14%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $33k → 17%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $33k → 17%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $23k → 17%TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK: $11k → 17%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.

Grants abroad, by region: $1.4M on the FY2024 return

Schedule F, as filed: 5 regions, $234k to organizations and $1.2M to individuals. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Europe (including Iceland and Greenland)$1.1M · 74% · 2 grants · 30 people

Stated purpose: TRANSLATIONS OF TIBETAN KANGYUR TEXTS INTO ENGLISH · TRANSLATION OF TIBETAN KANGYUR TEXTS INTO ENGLISH · EDITING OF TRANSLATED TEXTS

North America (Canada and Mexico)$211k · 15% · 1 grant · 3 people

Stated purpose: EDITING OF TIBETAN KANGYUR TEXTS INTO ENGLISH · TRANSLATION OF TIBETAN KANGYUR TEXTS INTO ENGLISH · TRANSLATION MEMORY TOOLS

South Asia$121k · 8% · 9 people

Stated purpose: TRANSLATION OF TIBETAN KANGYUR TEXTS INTO ENGLISH · MARKUP EDITING SERVICES FOR TRANSLATED TEXTS · TECHNOLOGY DEVELOPMENT SERVICES

East Asia and the Pacific$37k · 3% · 4 people

Stated purpose: TRANSLATION OF TIBETAN KANGYUR TEXTS INTO ENGLISH · TECHNOLOGY DEVELOPMENT SERVICES

South America$5k · 0% · 1 person

Stated purpose: TRANSLATION OF TIBETAN KANGYUR TEXTS INTO ENGLISH

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. 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 grantees
repeat funding

Who it funds again

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

49%of every dollar goes to organizations it has funded before.
$284k · 3 repeat orgs$290k to everyone else

3 repeat relationships: 0 still active in FY2024, 3 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
5

Total granted

$284k
$242k

Median revenue growth · since first grant

+138%
+176%

Still filing today

67%
20%

New vs renewed · share of each year

In FY2024, 0% of grant dollars renewed an existing relationship; $48k went to new ones.

50%100%’17’18’19’20’21’22’24
RenewedFirst-time

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

’17’18’19’20’21’22’24
EducationReligionOther
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

  • TC
    TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK INC
    6× · 2017–2022 · $222k · revenue -83% · 73% of their budget
  • RO
    REGENTS OF THE UNIVERSITY OF CALIFORNIA
    2× · 2021–2022 · $50k
  • S
    SAMYE
    2× · 2020–2021 · $12k · revenue +138%

Funded once

  • RV
    RECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA
    one grant, 2019 · $85k
  • UC SANTA BARBARA FOUNDATIONgraduated
    one grant, 2021 · $58k · revenue +176%
  • CJ
    CURTIS JONESCURJO LLC
    one grant, 2017 · $46k
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

3 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. 3 of the 9 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.

1
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
3/3
Grantees still filing
2/3
Grew since first funded

Where the money sits, by cause and then by grantee

TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK INC: $222,168 · OtherTIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK INCRECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIA: $85,000 · OtherRECTOR & VISITORS OF THE UNIVERSITY OF VIRGINIAREGENTS OF THE UNIVERSITY OF CALIFORNIA: $50,000 · OtherREGENTS OF THE UNIVERSITY OF CALIFORNIADINNER TECHNOLOGIES INC: $48,000 · OtherDINNER TECHNOLOGIES INCCURTIS JONESCURJO LLC: $45,500 · OtherCURTIS JONESCURJO LLCTSECHEN KUNCHAB LING: $28,151 · OtherTSECHEN KUNCHAB LINGUniversity of Wisconsin Madison: $25,000 · OtherUC SANTA BARBARA FOUNDATION: $58,300 · EducationUC SANTA BA…SAMYE: $11,749 · Religion
Other$503,819Education$58,300Religion$11,749

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 budgetTIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK INC: $222,168 over 6y, 73% of budgetUC SANTA BARBARA FOUNDATION: $58,300 over 1y, 0.1% of budgetSAMYE: $11,749 over 2y, 2.7% 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 TIBETAN CLASSICS TRANSLATORS GUILD OF NEW YORK INC ↗
  • Who funds UC SANTA BARBARA FOUNDATION ↗
  • Who funds SAMYE ↗

How much its grantees rely on government

Each dot is one organization 84000 funds: left to right is the share of its income from government, bottom to top the share from 84000. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 00%5%19%42%75%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to 84000?

    Find your warmest path to 84000 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 9 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 84000’s filings →

    More from the funding graph

    The unnamed billions
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    The regranting layer
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    The endowment market
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    The camps
    funders cluster by geography, not ideology
    By state
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