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Building a Thesis

A thesis workspace is your command centre inside Pesql. It brings together your themes, filters, watchlists, signals, and notes into a single environment that continuously adapts to what you care about. When you set it up well, the workspace becomes a living intelligence layer that curates opportunities with increasing precision over time.

This guide walks you through how to build one that works the way analysts actually think and source.

Create the foundation of your thesis

Start by creating a new workspace and defining the scope of your thesis. Set the geography, stage, categories and round preferences that shape what you are looking for. These become the backbone of your workspace and influence every insight that surfaces, from recommended companies to predictive score movements.

Once your filters reflect your thesis, save them. This ensures your workspace always opens in the context that matters to you—not a generic default.

Attach the relevant watchlists

Next, bring your watchlists into the workspace. A thesis often contains multiple layers—long lists, active candidates, category-specific opportunities. Linking the right lists gives the workspace depth and lets you compare new discoveries against companies already on your radar.

Use tags and notes to provide nuance. For example: “strong founder,” “priority outreach,” “monitor only.” These cues help the workspace tailor recommendations more tightly to your taste and criteria.

Add intelligence blocks that surface what matters

A strong workspace isn’t a static page—it’s a dynamic feed of curated intelligence. You can add blocks that highlight:

• Companies with the fastest week-over-week score movement
• Highest fundraising probability inside your thesis
• New entrants that match your filters
• Outperformers within specific peer clusters
• Notable founder or hiring changes
• Shifting category momentum

These blocks turn the workspace into a living diagnostic of your thesis, constantly updating with fresh signals.

Let the Workspace Companion learn from your activity

As you add companies, refine filters, save notes and interact with categories, Pesql’s Workspace Companion begins to learn your preferences. It starts to understand which characteristics you consistently favour and which signals correlate with your deal patterns.

Over time, the workspace becomes increasingly personalised—surfacing opportunities that quietly match your investment style even before you explicitly define new filters.

Collaborate and share with your team

A thesis workspace becomes even more powerful when used collaboratively. Share it with teammates so partners, analysts and associates can align on the same view. Everyone sees the same signals, the same movement, and the same prioritised opportunities.

Teams often use shared workspaces as the single pre-IC environment, reducing the need for scattered spreadsheets and manually refreshed lists.

Build an engine, not a folder

A well-constructed workspace evolves. It absorbs your activity, sharpens your discovery, and gives you a structured way to monitor momentum without losing context. Instead of manually building new lists each cycle, your workspace becomes the engine that continuously pushes the best opportunities toward you.

This is where Pesql moves from being a discovery tool to becoming a behavioural understanding of your thesis.