Illustrative use cases

How founders use Evaldam before valuation conversations

These are product education scenarios, not verified customer success claims. They show how valuation workflows differ by stage, traction, and available evidence.

6

Valuation methods

3

Common fundraising situations

PDF

Investor-ready output

Seed to Series A

AI SaaS founder

Situation

Revenue is growing, but the founder is unsure whether the proposed pre-money valuation is defensible.

Evaldam workflow

Runs a six-method valuation, checks sensitivity around growth and margins, and exports a report for investor discussions.

Practical result

Leaves the conversation with a clearer low/base/high range and documented assumptions.

Example inputs

ARR: $500K
Growth: 12-18% MoM
Team: 10-15
Angel round

Pre-revenue fintech

Situation

The team has a prototype and regulatory plan, but no ARR. Traditional revenue multiples are not useful yet.

Evaldam workflow

Uses Scorecard and Berkus-style logic to explain idea clarity, prototype quality, market size, and execution risks.

Practical result

Creates a structured starting point for angel valuation instead of guessing a number.

Example inputs

ARR: $0
Prototype: Live
Team: 3-5
OSS to company

Devtools startup

Situation

An open source repo has product potential, but public adoption and monetization are still early.

Evaldam workflow

Starts with GitHub repo valuation, then upgrades to a full startup report with customer, market, and monetization assumptions.

Practical result

Separates repo signal from company value and identifies milestones that could increase fundability.

Example inputs

Repo: Public
Model: Hosted SaaS
Buyer: Engineering teams

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