Managing investor and founder relationships with Circl

Your network is your dealflow. As an early-stage investor, you meet hundreds of founders a year - at conferences, through intros, cold inbound. You exchange emails, grab coffee, maybe do a call. Then what?

Most of that context disappears. Six months later, a founder you met at a conference is raising a seed round. You don't remember the conversation. Someone else leads the deal.

Sales CRMs don't fix this. You're not managing a pipeline. You're maintaining relationships that compound over years.

The problem is fragmentation

Your interactions with any single person are scattered across five places:

• Email - intro threads, follow-ups, due diligence
• LinkedIn - DMs, connection context
• WhatsApp - deal sharing, quick updates
• Calendar - pitch meetings, board calls, coffee chats
• Conferences - brief conversations that need follow-up but rarely get it

No single tool sees all of this. So you forget who introduced whom, miss the founder who pinged you months ago, and lose track of co-investors you should be syndicating with.

Circles: organize how you actually think

Contacts don't fit into one bucket. A person might be a portfolio founder AND a future co-investor. Circles let you group people by context, and one person can belong to several.

Real examples of circles an investor might use:

• Active dealflow - founders you're currently evaluating
• Portfolio - companies you've backed
• Co-investors - people you syndicate or share deals with
• Warm intro sources - connectors who send quality deal flow
• Conference: Slush 2026 - people met at a specific event

The overlap matters. When a portfolio founder starts angel investing, they show up in both Portfolio and Co-investors. When a co-investor sends you a deal, you see the relationship history across both contexts.

Unified timeline

Connect Gmail, Calendar, and LinkedIn. Every interaction with a person shows up in one timeline. Before a pitch meeting, you see the full picture: when you first connected, what you discussed, who introduced you.

No more digging through five apps to reconstruct a conversation from 4 months ago.

Relationship scoring

Circl computes a relationship score based on interaction recency, frequency, direction, and channel diversity. This surfaces three things:

This is especially useful for LP and co-investor relationships - the ones that slip when you're heads-down on new deals.

Enrichment and AI prep

Import a LinkedIn connection with just a name and URL. Circl enriches their profile with current title, company, location, and industry.

Before a meeting, use Claude via Circl's MCP server: "What's my history with this founder? Who introduced us?" Full context in seconds, pulled from your actual interaction data.