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Nonprofit fundraising & development officers

Major-gift work is stewardship measured in years — knowing each donor's passions, family, and history with your mission, and moving a portfolio toward the right ask at the right time. Dhaga is the personal relationship-memory layer that keeps every one of those threads alive alongside your donor database.

The short version

Major gifts aren't closed — they're cultivated, sometimes over a decade. Every gift rests on knowing a donor as a person: what moves them, who their family is, their history with your mission, and the quiet signals that the time is right. That knowledge usually lives in a gift officer's head and walks out the door when they leave. Dhaga is a personal relationship-memory layer that captures every visit and detail, turns it into a private queryable graph, and helps you steward a portfolio toward the right ask at the right moment. It complements your donor database and gift-accounting system — it doesn't replace them.

See how you'd use Dhaga

Meet Margaret Ellsworth, a demo contact in development director Grace Whitfield's Dhaga account. She's a retired CEO and a major-gift prospect in active cultivation — exactly the kind of relationship that gets stewarded over years.

It remembers what you'd forget. Dhaga holds that Margaret has the capacity and interest for a six-figure gift toward the youth-literacy program, likely ready in the fall — a fact tied back to the cultivation lunch at the Arboretum Club where she said she was "done writing checks into the void." Her passion is youth literacy: she taught first grade for six years, has three grandchildren, and still volunteers as a reading tutor. She'd rather do a program site visit than a gala — she wants to see the impact — and every fact carries a receipt to the note it came from. You last connected 51 days ago, and it was her longtime friend and your board chair, Eleanor Vance, who opened the door.

Margaret Ellsworth's profile in Dhaga — facts with receipts, notes, follow-ups, relationships, and keep-in-touch cadence.

Every morning, it tells you who to steward. The daily view surfaces the people due for a reach-out — Margaret, board chair Eleanor Vance, sponsor lead Bianca Ferreira — each past their keep-in-touch cadence. Alongside them sit the open follow-ups you owe: invite Margaret to the program site visit, send her the youth-literacy impact report, brief Eleanor before that visit.

Dhaga's daily view — who's due for a reach-out, and the open follow-ups you owe people.

Your donor network, mapped. Focus the graph on Margaret and you see her world as labeled edges: her spouse Harold, board chair Eleanor Vance who introduced her, and program officer Sofia Marchetti she was introduced to. The same graph shows the events where those ties were made — the Spring Gala, the cultivation dinner at Maribel's, the youth-literacy site visit.

The knowledge graph focused on one prospect — their relationships and the events you met at, as labeled edges.

Your whole network on one canvas — everyone you know in this world, and how they connect.

Events in Dhaga — who you met where.

Stewardship is a long game, and memory is the bottleneck

Ask a seasoned development officer why a major gift came in and you'll rarely hear "the appeal letter." You'll hear about the six years of coffees, the board member who made the introduction, the donor's daughter who went through the program, the campus visit that finally made it real. Major-gift fundraising is relationship work stretched across years, and the relationship is the whole asset.

Your donor database is built to be the system of record: gift history, pledges, soft credits, campaign attribution. That's essential, and Dhaga doesn't try to be it. What the database is not built to hold is the human texture — that a donor cares about first-generation students because they were one, that they hate being asked over the phone, that their spouse is the real decision-maker above a certain size. That context lives in your memory, and memory fades between visits that are months apart.

Dhaga's job is to hold that texture for you. Capture what you learn and it becomes a private knowledge graph — structured people, the organizations and committees they sit on, and the relationships between them. Every fact it derives keeps a receipt back to the note it came from, so "prefers to give anonymously" is always traceable to the visit where you heard it, not a hunch you half-remember two campaigns later.

Capture the visit without breaking the moment

You learn the most where taking notes would be rude — across the table at a cultivation lunch, walking a donor through the new wing, in the receiving line at a gala. So capture has to happen after, in seconds, or the detail is gone.

  • Scan a badge or business card at the gala or the board dinner and get a structured contact, not a stack of cards in a drawer.
  • Voice-note the debrief in the car afterward: "Visited Eleanor, she lit up talking about the youth arts program, her granddaughter just started violin, wants to do something meaningful before year-end." Dhaga extracts the people, the interests, and the relationships.
  • Web quick-add or the browser extension to capture a prospect you're researching between meetings.
  • Import your existing contacts from a CSV or a LinkedIn export so years of relationships seed the graph on day one.

The point isn't data entry for its own sake. It's that the moment you learn what a donor truly cares about, it lands somewhere you can query instead of evaporating before the next portfolio review.

Know each donor's passions — in their words

Generic stewardship is what donors quietly resent. The person who cares about scholarships doesn't want the capital-campaign brochure; the one who funds research doesn't want the annual-fund phonathon. Dhaga lets you keep each donor's giving interests and personal context as notes that become structured facts.

Then you ask, in plain English:

  • "Which donors in my portfolio care about youth programs?"
  • "Who has mentioned an interest in endowed scholarships?"
  • "What does Eleanor care about, and when did we last talk about it?"

Natural-language recall answers only from your notes. If you never captured a donor's interest in planned giving, Dhaga tells you it doesn't know — it won't invent an affinity. In a field where a tone-deaf ask can set a relationship back years, "I don't have that yet" is the honest and far safer answer.

Cultivate a portfolio, not a pile of names

A gift officer carrying a hundred-plus relationships can't hold them all in mind at once, and the ones that slip are usually the quiet mid-level donors who were one good conversation away from a transformational gift. Because your whole portfolio is a queryable graph, you can keep it moving:

  • "Who in my portfolio haven't I seen this quarter?"
  • "Which donors are due for a touch that isn't an ask?"
  • "Who did the board chair introduce me to that I never followed up with?"

The opt-in, proactive reminders surface the people and moments you told Dhaga to watch — they don't broadcast your portfolio anywhere or track donors behind their backs. You decide who and what matters.

Time the ask around a life moment

The single most important judgment in major gifts is when. The same ask lands completely differently before and after a liquidity event, a milestone birthday, or a moment of real connection to the mission. Get the timing right and a good relationship becomes a legacy gift; get it wrong and you burn trust you spent years building.

Dhaga helps you see the timing you'd otherwise miss:

  • The opt-in watchlist can surface public signals about the people you choose to track — a role change, a board appointment — so a shift in a donor's circumstances doesn't pass you by.
  • User-triggered enrichment pulls public context on a prospect when you ask for it, not automatically.
  • Pre-meeting briefs assemble everything you already know before a visit, so you walk in remembering the granddaughter's violin and the year-end intention — and read the room for the right moment yourself.

Every one of these is bounded and opt-in by design. Dhaga surfaces context and timing; the judgment of when and how to ask stays entirely yours.

Keep the board and volunteers engaged

Your board members and volunteer solicitors are among your most valuable relationships — and often the connective tissue to your best prospects. Because Dhaga stores who introduced whom and who sits on which committee, you can see the paths through your own network: "who on the board knows this prospect?" or "which volunteers haven't I engaged this quarter?" That map is only as good as what you captured, which is why logging every introduction compounds across a campaign.

Where Dhaga fits next to your donor database

They do different jobs. Keep both.

Donor database (system of record)Dhaga (personal relationship memory)
OwnsGift history, pledges, soft credits, campaign attributionYour relationships and their human context
Optimised forCompliance, reporting, gift accountingFast capture and personal recall
Donor pictureTransaction record and coded fieldsA queryable graph of interests and ties
When you leaveStays with the organizationPortable — full export, any time
Timing an askReports on what happenedSurfaces context and signals for what's next

The database answers "what did this donor give, and to what?" for your finance and reporting teams. Dhaga answers "who is this person, what do they love, and when is the moment?" for you.

Institutional memory that survives turnover

Development shops lose relationships every time a gift officer moves on — years of cultivation reduced to a few coded fields. Dhaga is privacy-first and yours: self-hostable, bring-your-own-API-key, with full export any time. It doesn't mine your donors or make them anyone else's, and its proactive features are opt-in and bounded — a tool for your mission, not a surveillance service pointed at the people who fund it.

That's the whole idea — every thread of a relationship kept alive, so no donor is ever a stranger to the person stewarding them next.


Curious how Dhaga keeps the AI honest — grounded only in your notes, never fabricated — and the costs bounded under the hood? The engineering blog goes deep on the architecture and the privacy model.

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