Impact

The people building Granted.

Dozens of founders, researchers, educators, veterans, artists, and survivors are shaping Granted for its 150 thousand monthly active users. This page introduces them — what they came for, what they got, and how they shaped the direction of the product.

Everyone on this page is real. They used Granted, shaped where it's going next, and agreed to put their name, story, and likeness on this site.

Davita is a fundraising manager at a three-staff museum in Omaha. Pranav is a pediatric emergency physician at Children's Hospital Los Angeles. Jared has taught the same rural South Carolina chorus for seventeen years. Daniel is a service-disabled veteran father in rural West Virginia. Lucia works at an institute for blind and deaf children in Cali, Colombia, founded in 1940.

These individuals are not case studies. They are the product team.

What follows is a record of what each of them shaped while they were here — what they came for, what they got, what they flagged, and what Granted is shipping because of them.

Co-builder receipts

Users shaped it. AI shipped it.

Granted exists today because the people in this gallery exercised the product and shaped how it should be changed.

  • R., Nebraska
    Artist
    Surfaced: pointed Granted at a foundation that funds invited organizations only. Shipped: eligibility triage that refuses a doomed application, explains why, and re-routes the user to grants designed for their actual situation. Now runs on every individual-applicant pipeline.
  • Hannah E., Ohio
    Survivor, Founder
    Surfaced: drafted an OVW Transitional Housing application requesting property purchase — which the program explicitly disallows. Shipped: the chat assistant catches unallowable line items mid-draft and surfaces the three-year service-history risk before submit. Eligibility-risk surfacing now runs on every federal pipeline.
  • Trinh T., Los Angeles
    Veteran, Survivor, Founder
    Surfaced: signed up at 7:37pm with a one-line bio and exported a 2,809-word federal-style draft 45 minutes later. Shipped: structured intake + verified RFP URL is now the primary path. Triage-to-draft compression carries the work for users who don’t want to iterate in chat across sessions.
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The loop

Surface. Listen. Ship.

A cron job runs every morning at 7:30. It reads yesterday's usage and surfaces who got stuck, who won, who flagged something specific. Each of them gets a personal note. They write back. The fix ships the next day — sometimes the same day.

Amanda runs a prenatal health org in rural Appalachia. She told Granted what was missing; the next day it shipped. She had never participated in building a tech product before. Now she's shaping one.

AI surfaces the user. A human builds the relationship. AI ships the fix. That loop is what makes user-centered product design possible at this scale.

Flagged this month — building now

Three users in this gallery flagged specific seams in Granted while drafting. They didn't get stuck. They flagged what's not working — and they shaped what's shipping next.

  • Jared F. · Educator
    Flagged: caught display-name leakage. His Google account name landed verbatim in his Letter of Inquiry as "Director Foster Piano Worship." Building: a profile gate that confirms how your name will appear in every grant before the first section is drafted.
  • Trinh T. · Veteran, Founder, Survivor
    Flagged: drafted sensitive MST epidemiology in her Statement of Need with no inline citations and no consent prompt before the numbers were committed to the draft. Building: a review-and-attest pane for sensitive-epidemiology text in survivor-founder pipelines, before the section is committed to export.
  • Adriana R. · Individual applicant
    Flagged: the vendor-direct-pay submission gap. Her chat agent caught it before submit; the pipeline didn’t have a structured field for it. Building: a structured payee field for vendor-direct-pay grants, plus a submission-readiness gate that holds the export until the payee is captured.
Where Granted fits

Granted reaches the median 501(c)(3) under $1M — and individuals applying to federal and state programs in their own names. That's the small-org and individual end of the economic-development pillar in Machines of Loving Grace.

Most of the people on this page would not normally be in the room when software gets built. Today, they have a seat at the table — and their voices are shaping the product being built for them.

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Representational images, AI-generated to protect grantee privacy. Real names and outcomes used only with explicit written consent. Anonymized where consent is in progress.