Venture capital & angel investors
Deal flow is a network effect, and a fund's edge is its relationship graph — founders tracked over years, co-investors, operators, and LPs. Here's how Dhaga turns scattered founder meetings and warm-intro paths into a private, queryable graph you actually own.
The short version
The best deals don't come from a deal-flow platform — they come through a warm path in your network. Your edge as an investor isn't capital; it's your relationship graph: every founder you've met, the operators and angels around them, the co-investors you trust, and the intro paths between them. That graph usually lives in your head, a pile of business cards, and a search bar you're afraid to trust. Dhaga captures it as you go and turns it into a private, queryable knowledge graph — so you can find the warm path, remember the founder you passed on, and stay close to the people who send you deals.
See how you'd use Dhaga
Meet Amara Diallo, Founder & CEO of Helios Solar — a demo contact in an investor's Dhaga account, and exactly the kind of founder you track for years before the timing is right. Here's what that looks like once she's in your graph.
It remembers what you'd forget. Her profile carries the facts that matter, each with a receipt back to the note that produced it: she's raising a Series A in climate that's already oversubscribed, she's an ex-Siemens Energy engineering lead on her second company, and she wants investors who can open enterprise doors. It also holds the thing you'd most want back — that you first met her at Ignite Labs pre-seed in early 2024 and passed because the unit economics weren't proven, then changed your mind when the traction landed: 40k households live across Kenya and Rwanda, defaults under 3%, a signed telco distribution deal. You last reached out 47 days ago, past your 30-day cadence, and your graph knows Aria at Harbor Line — who's leading Amara's round — is your path to the allocation.
Every morning, it surfaces the threads to pull. The daily view puts Amara on your reach-out list because her cadence has lapsed, alongside the open follow-ups you owe real people — re-engage on the Series A and ask for allocation this week, loop in a climate operator for diligence. Each item is tied to a person, so the list is work you can act on, not a feed to scroll.
Find your warm path in. Focus the graph on Amara and her relationships render as labeled edges: her co-founder and CTO Bram de Vries, Wesley Adekunle — the climate operator who first introduced you in 2024 — and Aria Solberg, the Harbor Line partner leading her round. The events sit right there too: you met at Ignite Labs Demo Day and again at the Climate Tech Summit. That's how you get from a name to a warm intro.
Deal flow is a network effect, and your network is invisible
Sourcing is relationship math. A founder you should be talking to is almost always two or three hops from someone you already know — a former operator at a portfolio company, an angel you co-invested with, a founder you backed who knows the founder you want. The problem is that this graph is invisible. It exists as a feeling ("I think Priya knows that team"), not as something you can query at the moment you need it.
Dhaga's core is a private knowledge graph. As you capture people and conversations, notes become structured facts and relationships — who worked where, who co-invested in what, who introduced whom. That's not a contact list with tags; it's the actual web of who-knows-whom, which is the thing an investor navigates for a living.
Mapping a warm-intro path
The single highest-leverage question in venture is "who can get me a warm intro to this founder?" — and it's exactly the question a relationship graph is built to answer.
Ask Dhaga in plain English: "Who in my network can introduce me to the founder of Acme?" It answers from your notes and graph only — the operators, angels, and portfolio founders who sit on a path to that person — and it never fabricates. If there's no path in your notes, it tells you so, rather than inventing a connection that will embarrass you. Every relationship it surfaces traces back to the note where you recorded it (a "receipt"), so you can see why it thinks Priya knows that team before you ask her to spend social capital on an intro.
That receipt matters. A warm intro is only warm if the connection is real. Being able to check the source note — "met at the 2024 demo day, she was an early angel" — is the difference between a confident ask and a cold email wearing a warm coat.
The founder you passed on is now raising a hot round
Every investor has this story. You met a founder eighteen months ago, the timing or the market was wrong, you passed politely. Now they're raising a round everyone wants in on — and you're trying to reconstruct, from memory, what you talked about and why you passed.
This is where capture anywhere plus recall compound over years. Scan a badge at a demo day, drop a voice note in the car after the meeting, quick-add from the web, or import a LinkedIn export — the point is that capture is cheap enough to do every time, so nothing falls through. Then, when that name resurfaces, ask: "What did I note about the founder of Acme, and when did we last talk?" The graph gives you the thesis you had, the concerns you flagged, the mutual connections — the context that lets you re-engage as someone who remembers them, not someone starting from zero.
Recall runs the other direction too: "Which founders did I meet in the last two years who are now raising?" If you've been capturing meetings and have the opt-in watchlist on, that's a question your own history can answer instead of a thing you hope to stumble into.
Staying close to co-investors and the people around your deals
A fund's reputation is carried by a small number of co-investors who trust your judgment and share their best deals. Those relationships decay quietly if you don't tend them. So do the ones with portfolio-adjacent people — the operators, advisors, and angels orbiting companies you know, who are the next founders and the next intros.
Dhaga is built to keep those threads warm without turning into a chore:
| The relationship | The daily problem | How Dhaga helps |
|---|---|---|
| Co-investors | You mean to stay close, but only talk when a deal's on fire | Capture every conversation; recall what you last discussed before you reach out |
| Founders you've met | Hundreds of meetings blur; context evaporates | Each founder is a node with your notes, thesis, and connections attached |
| Operators & angels | The next founders and intros are hiding in plain sight | The graph links them to the companies and people you already track |
| LPs | Relationships that matter quarterly, not daily, slip your mind | One place to remember interests, commitments, and the last real conversation |
Proactive intelligence — bounded, and on your terms
The other half of staying close is timing: reaching out when something actually changed. Dhaga's proactive intelligence is opt-in and deliberately bounded — it doesn't scrape your whole world by default. You add specific people to a watchlist for signals like a founder changing roles or a company raising, and you can trigger enrichment or a pre-meeting brief when you want one. Before a meeting with a founder you haven't seen in a year, pull a brief assembled from your own notes so you walk in remembering the details. When you do reach out, follow-up draft assistance helps you get the note out instead of leaving it in drafts.
The restraint is the point. As an investor you're handling sensitive, non-public information about founders and funds constantly. Dhaga treats that as the default: enrichment and cloud AI are user-triggered or explicitly opted-in per feature — never silent background collection.
Your graph, and only yours
A relationship graph built over a decade is one of the most valuable and most private assets a fund has. It should not live inside a vendor you can't leave. Dhaga is privacy-first and self-hostable: run it on your own infrastructure, bring your own API key, and export everything at any time. The founders you've tracked, the co-investors you trust, the intro paths you've mapped — that's your data about third parties, and it stays yours.
Where to go next
If you want to see how the graph itself is built and rendered — including how it stays fast at tens of thousands of nodes — the engineering posts go under the hood. Otherwise, the fastest way to understand Dhaga as an investor is to start capturing: the next demo day, the next founder call, the next co-investor coffee. The graph compounds from there.
Discussion
Recruiting & executive search
The best candidates aren't looking, today's 'no' is next year's placement, and every person you place becomes a future client. Here's how Dhaga keeps a decade of candidate and hiring-manager relationships warm without a heavyweight ATS.
Founders & startup CEOs
A founder's network does five jobs at once — investors, advisors, early hires, design-partner customers, and press — and it all lives in one overloaded brain. Here's how Dhaga keeps you from dropping a thread while you context-switch twenty times a day.