Funder Discovery

See what a funder really cares about — not just what their 990 says.

Enriched profiles read the patterns hiding in a funder's data: how their giving is shifting, what they respond to, the voice, priorities, and perspectives behind the filings — surfaced as plain-language insights you can act on.

"The 990 tells you they gave $2M last year. But to whom? Is their giving growing? Are they quietly shifting focus areas? The story is in the data — you just don't have a week to find it."

1. just numbers

Hartwell Fund — giving, 2020–2024

Year
Total
Grants
Median
2020
$840K
14
$25K
2022
$1.0M
16
$27K
2024
$1.2M
18
$28K

five years of filings in front of you — and still no answer to "what do they want?"

2. the AI reads them closely

education grants: 4 → 9 over five years
6 of 18 recent grantees were first-time recipients
grant letters lean on outcomes data, formal tone

the same table, cross-read year over year, grantee by grantee — the work you never have a week for

3. the patterns, in words

Education giving up 15% year over year

the shift started in 2022 — lead with your education outcomes

Genuinely open to first-time applicants

a third of recent grantees were new relationships

Formal, data-forward voice

position your ask the way they already talk

this guidance feeds the AI's context when you write to this funder

Hours of manual 990 analysis The patterns, read out in plain language Research depth per funder
Included in every plan

The old way vs. the Grantable way.

You know the old workflow. Here's how it changes.

Surface-level funder research

  1. 1

    Read the latest 990

    See total giving, but little context about trends or patterns

  2. 2

    Download prior years

    Manually pull 3-5 years of filings to spot trends

  3. 3

    Build a spreadsheet

    Enter giving amounts year by year to see if they're growing

  4. 4

    Stare at the rows

    The pattern is in there somewhere — but rows don't explain themselves

  5. 5

    No peer context

    Is this funder large or small for their focus area? Hard to tell.

  6. 6

    Miss the story

    A funder shifted from arts to education 3 years ago — and you'd never see it

Grantable enriched profiles

  1. 1

    Multi-year giving trends

    Total giving, median grant size, and grant counts across 5+ years

  2. 2

    The patterns, surfaced in words

    "Education giving up 15% year over year" — insights, not just charts

  3. 3

    What they respond to

    Voice, tone, priorities, and perspectives read from how and whom they fund

  4. 4

    Recipient deep-dives

    Every grantee, amount, and whether they fund repeat recipients

  5. 5

    Guidance that feeds your drafts

    These insights flow into the AI's context when you write to this funder

  6. 6

    Position before you reach out

    Know how to frame the ask before the first email

Know your funder inside out.

Enriched profiles that read out what a 990 alone can't tell you.