Deal Flow Tracking: From Spreadsheets to Intelligence

I'm going to describe a workflow that will sound painfully familiar to anyone who's been investing for more than a year.

You have a Google Sheet. Maybe an Airtable. It has columns for company name, sector, stage, amount raised, lead investor, date, source, and your notes. You update it manually. Sometimes weekly, sometimes when you remember. Sometimes a colleague drops a link in Slack and you think "I should add that to the tracker" but you don't because you're in the middle of something else.

Six months later, the sheet has 200 rows. Half the data is stale. You can't remember where you first heard about a deal. And when someone asks "what's the funding velocity in healthtech this quarter," you spend 20 minutes filtering and sorting before giving an answer you're not confident in.

This was my workflow for three years. It's the workflow I built Brevoir to replace.

The Problem With Spreadsheet-Based Deal Flow

The spreadsheet isn't the problem. The spreadsheet is a symptom. The real problem is that deal flow tracking has three requirements that spreadsheets fundamentally cannot meet.

1. Comprehensiveness

The average angel or small fund sees maybe 20 to 30% of the deals happening in their focus sectors. Not because the information doesn't exist, but because no human can monitor every funding announcement, press release, regulatory filing, and social media post across every geography and sector simultaneously.

Gaps in your deal flow aren't just inconvenient. They're expensive. The deal you didn't see is the deal you didn't evaluate. And you never know which one it was.

2. Speed

In private markets, timing matters enormously. A seed round that closed last week is relevant intelligence. A seed round that closed three months ago is trivia. Spreadsheets get updated when humans update them, which means your data is always at least as stale as your last update session.

3. Context

A raw list of deals tells you almost nothing. You need to know velocity: is the deal volume in this sector accelerating or decelerating? You need to know composition: are the deals mostly seed, Series A, or growth? You need to know who's moving: which investors are most active, and are any new players showing up?

Spreadsheets store data. Intelligence requires analysis layered on top.

What Real-Time Deal Flow Intelligence Looks Like

When you open Brevoir's deals page, you're not looking at a spreadsheet. You're looking at a live intelligence feed.

Every deal shows up with the information that matters: company name, sector, stage, amount, lead investors, co-investors, valuation signals (when available), and the sources that surfaced the deal. But the individual deals aren't even the most valuable part. The analysis layer on top is where the real intelligence lives.

Velocity Analysis

At the top of the deals page, you'll see velocity metrics for each tracked sector. This tells you how the current week's deal volume compares to the trailing 4-week average.

A velocity of 1.3x in fintech means 30% more deals are closing this week than the recent average. That's a signal. Maybe a new fund just deployed capital. Maybe a regulatory change opened up a new category. Either way, it's worth investigating.

A velocity of 0.6x means deal flow is slowing down. That can mean many things: maybe the market is recalibrating on pricing, maybe seasonal patterns are at play, or maybe something more fundamental is shifting. The number gives you the prompt to ask the right questions.

Stage Distribution

Knowing how many deals happened isn't enough. You need to know where in the lifecycle they're happening.

If a sector is seeing a spike in seed deals but a decline in Series A, that tells you something very different than uniform growth across all stages. A seed spike with a Series A drought might mean founders are excited about the space but growth-stage investors are skeptical. Or it might mean that Series A investors are waiting for the seed cohort to mature.

Brevoir breaks down deal flow by stage automatically so you can spot these patterns without manual categorization.

Investor Activity Mapping

One of the most underrated signals in deal flow is investor behavior. When a top-tier fund that hasn't done a deal in climate tech for two years suddenly leads a round, that's meaningful.

Brevoir tracks investor activity across all surfaced deals. You can see which funds are most active, which are entering new sectors, and which are doubling down on existing portfolio sectors. This is intelligence you simply cannot extract from a spreadsheet without hours of manual cross-referencing.

How Brevoir Processes Deals

I'm going to give you a peek behind the curtain because I think it matters to understand how this data gets generated.

Our system runs specialized intelligence modules multiple times daily focused on funding activity. These modules use AI-powered web research to scan for new deals across press releases, regulatory filings, social media, news coverage, and industry databases.

Each discovered deal goes through a structuring step where it gets categorized by sector, stage, geography, and estimated size. Then it gets cross-referenced against our existing database to avoid duplicates and to enrich existing entries with new information.

The key differentiator: every deal links back to its sources. If a deal was surfaced from a TechCrunch article, you see that. If it came from a regulatory filing, you see that too. Source diversity matters because single-source deals are less reliable than multi-source confirmed deals.

From Tracking to Action

The goal of deal flow tracking isn't to have a nice database. The goal is to make better investment decisions faster. Here's how Brevoir's deal flow intelligence translates into action.

Pattern Recognition at Scale

When you're manually tracking 30 deals a month, it's hard to see patterns. When you're looking at 500+ deals a month with automated categorization and velocity analysis, patterns jump out.

In January 2026, our deal flow data showed a sharp acceleration in AI infrastructure deals at the seed stage. Not AI applications. Infrastructure. The nuance mattered. Investors who spotted that pattern early positioned themselves ahead of a wave of infrastructure-layer companies that started closing Series A rounds in Q2.

Competitive Intelligence

Deal flow data tells you what other investors are doing. If you see a fund that typically leads Series A rounds suddenly doing several seed deals in a new sector, that's a signal about where they think the market is going. You might agree or disagree, but you should know about it.

Portfolio Context

If you already have portfolio companies in a sector, deal flow data gives you essential context. Is the competitive landscape getting more crowded? Are new entrants raising at higher or lower valuations than your portfolio company did? Is capital flowing into adjacent categories that could be complementary or threatening?

The Real Cost of Incomplete Deal Flow

I want to be direct about what's at stake here.

A study of angel investor returns found that portfolio diversification across at least 20 to 30 companies is one of the strongest predictors of positive returns. But diversification requires deal flow. You can't invest in companies you never see.

The investors who rely on their personal network and a spreadsheet are making decisions from a subset of available deals. Maybe it's a good subset. But they can't know what they're missing. That uncertainty has a real cost, even if it's invisible.

Brevoir doesn't replace your network. Your network is still your most valuable deal flow source. But it supplements your network with systematic coverage that ensures you're not missing entire categories of deals just because they weren't in your inbox.

Making the Switch

If you're still running your deal flow on spreadsheets, here's my honest advice: you don't need to abandon them overnight. Start by using Brevoir alongside your existing workflow for 2 to 4 weeks. Compare what you're seeing in the intelligence feed against what's landing in your spreadsheet.

Most investors who do this exercise discover they were missing 40 to 60% of the deals happening in their focus sectors. Not because they're bad at tracking, but because manual tracking has a ceiling that no amount of discipline can overcome.

The transition from spreadsheets to intelligence isn't about replacing your judgment. It's about giving your judgment better inputs.

Written by

Nabil A.

CEO and founder of Brevoir. Building the intelligence infrastructure for private markets. Previously obsessing over data, startups, and the future of investing.

@nabuhad