Series A Readiness Calculator

Series A readiness scored across five dimensions: ARR scale (target 1M+), month-over-month growth (8-15%+), net revenue retention (100%+), runway (12+ months), and customer count (50+). Score above 70 signals Series A readiness; below 40 means more building needed. Each VC weighs these differently but these five cover the fundamentals.

800k ARR, 10% MoM growth, 110% NRR, 15 months runway, 40 customers = ~72/100. Borderline ready. Strongest signal: growth + retention together. Weakest: customer count below 50 - some VCs want 100+ for pattern confidence. This is a self-assessment, not a fundraising guarantee - VCs also evaluate team, market, and product quality.

Series A benchmarks evolve with market conditions. 2021 peak: 500k ARR could raise Series A. 2024-2025: 1-2M ARR is standard floor. Growth rate expectations always high: 10%+ MoM or 2-3x year-over-year at minimum. Retention above 100% NRR is the strongest quality signal - proves product-market fit more than any other metric.

Quick example

With arr of 800,000 and mom growth of 10% (plus nrr of 110% and months runway of 15 months), the result is 68 / 100. Change any figure and watch the output shift — it's often more useful to see the pattern than to memorise the formula.

Which inputs matter most

You enter ARR, MoM Growth %, NRR %, Months Runway, and Customers. Not every input has equal weight. Adjusting one input at a time toward extreme values shows which ones move the result most.

What's happening under the hood

ARR (0-25), Growth (0-25), NRR (0-25), Runway (0-15), Customers (0-10). Weighted composite. The formula is listed in full below. If the number looks off, you can retrace the calculation by hand — that's the point of showing the working.

Reading a low result

A disappointing result is information, not a judgement. The input that dragged the figure down most is usually where a single change has the largest effect, since depth on the worst input tends to move the result more than spreading effort across every input at once.

What this doesn't capture

The result reflects only the inputs you provide and the assumptions built into the formula. It is a simplified model rather than a complete picture, and factors specific to your situation may matter just as much.