Attio for VC: how venture funds run deal flow, portfolio, and LPs in one workspace

A venture fund runs three pipelines at once. Inbound deal flow. Active diligence. Portfolio follow-ons. Most CRMs were built for one pipeline with one shape. That is why funds end up in Airtable, Notion, Affinity, and a shared Google Sheet. The data is everywhere and nowhere.

I have set up Attio for four venture funds this year: Outlander VC, Graduate VC, Prudence VC, and Anorak VC. Different stages, different theses, same structural problem. Once the data model matches how a fund actually works, the CRM stops being a graveyard and starts being the thing a partner opens on Monday morning.

Here is what a working Attio setup looks like for a venture fund.

What standard CRMs get wrong for VC

A deal is not a sale

A B2B sales deal closes in weeks with a purchase order. A venture deal closes in months with a term sheet, a partner vote, a lead-investor hand-shake, and a legal close. The stages are different. The velocity is different. The artifacts are different. Using the default HubSpot pipeline for deal flow forces you to pretend a partnership vote is a proposal and a term sheet is a contract. Nobody trusts the numbers.

A company is not a contact database

A portfolio company has a cap-table position, a board seat, a valuation history, a follow-on plan, and a stage inside the fund lifecycle. A standard company record holds a name, a domain, and a few tags. Everything the GP actually tracks lives in a Google Doc somewhere.

LPs are their own universe

LPs are not prospects, not customers, not portfolio companies. They have capital commitments, capital calls, distribution history, reporting preferences, and relationship cadence. Treating them as contacts collapses two different books of business into one and you lose sight of both.

Co-investors and networks

A venture fund runs on relationships with other funds, angels, operators, and scouts. These people refer deals, follow-on in rounds, and take calls about future funds. A flat contact list cannot map who sends you the best deals or who you owe an intro to.

The data model that actually works

Five objects. The shape is consistent across stage focus and fund size. The fields shift.

Companies. The universe. Startups you have sourced, passed, invested in. Split by relationship type: Sourced, Evaluating, Portfolio, Passed, Alumni. Adds stage of business, last-round valuation, current ARR, category, and a link to the most recent deck.

Deals. Active opportunities. One deal per check, not one deal per company. A follow-on in Series B is a new deal. Fields include round size, allocation requested, allocation received, pre-money valuation, lead status, partner champion, and partner vote status.

Portfolio companies. A custom object. Created when a Deal closes Won. Holds cap table position, initial check, total invested, board seat, observer seat, board-meeting cadence, next reporting date, and links to the quarterly updates. Separated from Companies because the workflows are different: sourcing cares about filters; portfolio cares about status health and follow-on planning.

LPs. A custom object. Fields for commitment size, commitments to prior funds, capital called, distributions paid, preferred reporting cadence, and next interaction due. Not every fund needs this object from day one, but it becomes load-bearing fast.

People. Founders, co-investors, LPs, angels, scouts, and operators. Fields that matter: role in the ecosystem, warm-intro strength, last partner conversation, intro source. A single people record that links out to Companies, Deals, Portfolio companies, or LPs depending on context.

How deal flow actually moves

A deal-flow pipeline in a fund runs like this.

1. Sourced. Inbound intro, event, cold email, scout tip, portfolio founder referral. Gets a partner owner within 48 hours.
2. Screened. First partner meeting. Decision: screen pass or proceed.
3. Evaluating. Second meeting, often with another partner. Preliminary memo drafted.
4. Diligence. References, market work, founder deep-dive. Memo finalized.
5. Partner vote. Investment committee meeting. Decision: term sheet, wait, pass.
6. Term sheet signed. Negotiation on details. Lead investor role confirmed.
7. Closed / Invested. Wire sent. Portfolio company record created.
8. Passed. Reason logged. Record kept for follow-the-founder tracking.

Attio handles this with a standard Deal object plus a status field for partner vote, a link to the decision memo, and a relationship back to the source that brought the deal in. Every deal has a partner owner and a champion. Pass reasons are a multi-select, not a free-text field, so you can actually analyze pass patterns later.

Sourcing automation that pays for the subscription

Every fund wants the same sourcing list. It never quite gets built because no one has the time. In Attio, it compounds.

• Inbound intros into a People record. An email from a founder hits the firm mailbox, a workflow checks for an existing record, and creates one if it does not exist. Source field tagged Inbound Email.
• Event-based sourcing. A CSV from a conference (Slush, South Summit, SaaStr) imports in minutes, flagged Source Event. Founders missing from your network become a single view to work through the next week.
• Scout deal flow. Scouts submit companies through a Typeform or an email alias. A workflow creates the company and deal, routes it to the right partner based on stage or category, and notifies the Slack channel.
• Founder follow-up reminders. Pass reason Too Early creates a task 6 months out. No deal gets lost to timing when the CRM remembers.

Portfolio tracking without a second tool

Funds often bolt on a second tool for portfolio management (Visible, Standard Metrics, a custom dashboard). For seed and early-stage funds, Attio covers what most portcos actually report: revenue, runway, headcount, next raise timing, key risks, key wins.

A Portfolio Company record holds the current-quarter numbers. A quarterly update is a note or a linked email. A dashboard surfaces the portcos that missed their last update, the ones running short on runway, and the ones hitting follow-on thresholds.

For funds that want deeper metrics, the portfolio company record integrates with Visible or a Google Sheet, but the relationship data and the follow-on pipeline stay in Attio.

LP relations as a first-class pipeline

A fund that ignores LP relations between fundraises pays for it in the next fundraise. Attio gives LPs their own pipeline.

• LP custom object with commitment, cadence, next-touch date.
• Scheduled workflow: any LP with no interaction in 90 days appears in the partner's Monday view.
• Capital call and distribution dates as structured fields, not spreadsheet rows.
• Fundraise pipeline as a separate Deal object when the next fund kicks off. Existing LPs get pre-populated.

None of this is rocket science. It is structure that replaces a partner's memory with a system.

Automations that matter for a fund

Six automations pay for the entire implementation.

1. New inbound email creates or updates a Person and Company record. Deduplication on email. No more two records for the same founder.
2. Deal stage change updates partner owner and Slack channel. Moved to Partner Vote, a thread opens in the IC Slack channel with the memo link.
3. Closed-Won creates a Portfolio Company record with inherited fields. No manual copy-paste. Board cadence defaults from the check size.
4. Quarterly update reminder. Every portfolio company gets a task on the reporting cadence. Missed updates bubble up to the GP dashboard.
5. LP quarterly letter send-list. A view of LPs who want the quarterly letter, filtered by cadence preference. One click to export or pipe into a mail tool.
6. Co-investor relationship decay flag. Any co-investor with no interaction in 180 days surfaces for a coffee intro.

Dashboards the partnership actually opens

Two dashboards do most of the work.

Partner Monday view. Pipeline by stage, deals waiting on partner action, portfolio companies that missed an update, LPs overdue a touch. One view, five minutes of review, the week starts.

Fund-level dashboard. Total deals sourced vs evaluated vs invested by quarter. Pass reasons by category. Portfolio health by status. Follow-on pipeline against reserve. This is the dashboard the managing partner shows the LPAC.

Why this works in Attio and not in HubSpot or Pipedrive

Three reasons specifically.

Custom objects are first-class. Portfolio companies and LPs are not awkward extensions of Deals or Contacts. They are their own objects with their own workflows, their own views, their own automations.

Relationships are real. A person links to multiple companies across sourced, portfolio, and co-investor contexts. In HubSpot, you would force this through multiple contact records or workarounds.

Speed and focus. A partner on the road opens Attio on mobile, updates a deal in 20 seconds, adds a note, closes the tab. No loading screens, no nested menus.

The bar for a fund CRM is high because partners will not use a tool that costs them more than it gives. Attio crosses that bar when the data model fits venture.

Getting this set up

A venture fund setup in Attio takes about 7 to 10 working days once the fund decides on the custom objects and the pipeline stages. The blocker is rarely the tool. It is the partnership agreeing on what a deal-stage definition means.

If you want Attio set up for your fund with the data model above, custom objects for Portfolio and LPs, deal-flow pipeline, sourcing automation, and the two dashboards, book a call. We walk through your deal flow, your portfolio shape, and your LP book, then map it into Attio the same week.

If you want to try Attio first, sign up through my link for 10% off.

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