How is Vantage different from ChatGPT or Claude?

ChatGPT and Claude are great for one-off generation. Vantage is a full workspace. It connects your tools, tracks dependencies across projects, catches conflicts between products, and surfaces what needs your attention every morning. It also remembers every past decision, so a new PM can query across all projects and get cited answers in seconds.

Do I have to switch away from Notion or Linear?

No. You keep all your tools. Vantage connects to them and builds intelligence on top. When you're ready, you can push tickets to Linear or Jira. But the value starts before you create anything — just by connecting your tools and seeing what the intelligence layer surfaces.

What happens on day one?

You connect your tools — GitHub, Linear, Slack — 2 minutes each. Vantage indexes your existing data overnight. By the next morning, you see your first decision queue: what's stale, what conflicts, what changed. No manual setup. No templates to fill out.

What if I only manage one project?

Vantage works for single projects, but it shines when you manage 3–5 or more. Conflict detection, cross-project memory, and the decision queue are most valuable when you have multiple projects that need to stay in sync. If you manage one project, start with the free tier and see if the cited query engine alone saves you time.

All data encrypted in transit and at rest. We never train on your data — the AI providers we use are contractually barred from it. You can disconnect any integration or delete your account at any time. Pursuing SOC 2 Type II.

How does Vantage keep documents and tickets up to date?

When context shifts, you add the new information and Vantage rebuilds every connected deliverable. Documents, prototypes, and tickets all update. You review the changes, accept or reject each one, and approve. Nothing updates silently, and every change is traceable.

How do I get started?

Sign up free at app.vantageos.tech. Connect your tools, and generate your first grounded document within minutes. No credit card required. Upgrade when you need more projects or features.

How accurate does market sizing need to be?

Within an order of magnitude. You need to know whether the opportunity is $100M, $1B, or $10B. Precision beyond that is false confidence. Focus on getting the right magnitude and on identifying which assumptions most affect the estimate.

Is Vantage free to try?

Yes. Vantage offers a free tier with 1 project and 5 AI queries per month.

How-To2026-08-1410 min read

How to Do Market Sizing for a New Product

Market sizing tells you whether the opportunity is worth pursuing. A $10M total addressable market has different implications than a $10B one. But market sizing is not about precision; it is about understanding the order of magnitude.

This guide covers practical market sizing methods that PMs can use without a team of analysts.

Step-by-step guide

Step 1: Define TAM, SAM, and SOM

TAM (Total Addressable Market): total revenue if you had 100% market share. SAM (Serviceable Addressable Market): the portion of TAM you can reach with your product and distribution. SOM (Serviceable Obtainable Market): the realistic portion you can capture in 3-5 years.

Step 2: Use top-down as a sanity check

Start with industry reports and analyst estimates. If the PM tools market is $15B, your TAM is some subset. Top-down gives you a ceiling and a reality check but should not be your primary method.

Step 3: Build a bottom-up estimate

Count the number of potential customers, multiply by the price they would pay. Example: 500K companies with 2+ PMs, 30% would consider a tool like yours, average deal size $5K/year = SAM of $750M. Bottom-up is more defensible because every number can be sourced.

Step 4: Validate with analogies

Compare to adjacent markets: if the project management tools market is $7B and your tool serves a subset of those users, your market should be a fraction of that. Analogies provide sanity checks on your bottom-up estimate.

Step 5: Present with ranges, not point estimates

Market sizing is inherently uncertain. Present a range: Our SAM is $500M-$1B based on these assumptions. If assumption X is wrong, the range shifts to $300M-$700M. Ranges are more honest and more useful than false precision.

Common mistakes

Using TAM when you mean SAM

Citing a $10B TAM when your product can only address $500M of it is misleading. Investors and executives know the difference. Use SAM for planning and TAM for context.

Overly precise estimates

A market size of $2.47B implies false precision. Say $2-3B. The methodology and assumptions matter more than the specific number.

Tips

Source every number in your estimate: industry reports, government data, competitor financials
Update your market sizing annually as you learn more about your actual customer base
Use market sizing to prioritize market segments, not just to justify the opportunity

How Vantage helps

Vantage can import market research documents and analyst reports as context sources for PRD generation. When you create a project for a new market opportunity, the market sizing data grounds the spec in real market context.