Startup Valuation Template
Startup & Fundraising
Quick Answer
Enter your revenue metrics, growth rate, and business characteristics. Paste into Claude or ChatGPT. Get a valuation range from multiple methodologies with negotiation positioning guidance.
What You Get
A startup valuation analysis using revenue multiples, comparable transaction analysis, and scorecard methodology with a reconciled valuation range, key value drivers and discounts applied, and negotiation positioning guidance.
Who Is This For
Founders raising capital who want to understand their valuation, startup advisors helping founders prepare for fundraising, and investors sanity-checking founder valuation expectations.
About This Template
Startup valuation is part art and part science. Founders who understand how investors value companies can negotiate better terms and make smarter equity decisions. This template guides founders through the key inputs that drive valuation, then uses AI to apply multiple valuation methodologies, reconcile them into a defensible range, and produce commentary on how to position the valuation in investor conversations.
Fill In Your Details
Your company name
e.g. $1.2M ARR
e.g. 150 percent year-over-year growth
e.g. 75 percent gross margin
e.g. 118 percent NRR
e.g. Seed, Series A
e.g. $8B SAM in US B2B software
Describe founding team background and relevant experience
What defends your business from competition
List 2-3 similar companies that have raised or been acquired with their valuations if known
Gather these details then use them to fill in the prompt below.
AI Prompts
Generate startup valuation analysis
Paste this prompt into Claude or ChatGPT with your inputs filled in.
You are a venture capital analyst valuing an early-stage startup. Using the information below, produce a comprehensive valuation analysis using multiple methodologies. Company: [company_name] Current ARR: [current_arr] Growth rate: [growth_rate] Gross margin: [gross_margin] Net revenue retention: [net_revenue_retention] Funding stage: [funding_stage] Market size: [market_size] Team: [team_strength] Moat: [competitive_moat] Comparables: [comparable_companies] Apply three valuation methodologies: 1. Revenue Multiple Method β apply market-rate ARR multiples for growth rate and margin profile. Show low, base, and high multiple cases. 2. Comparable Transaction Analysis β use the comparable companies provided plus general market data for the funding stage and growth profile. 3. Scorecard Method β score the company on team, market, product, traction, and competition versus a typical company at this stage. Adjust from median valuation accordingly. Then produce: - Reconciled Valuation Range β synthesize the three methods into a defensible range - Key Value Drivers β what is supporting the valuation - Key Discounts Applied β what is holding the valuation below the theoretical maximum - Negotiation Positioning β how to present and defend this valuation in investor conversations - Investor Perspective β how an investor would likely evaluate this valuation ask
Sample Output
This is an example of what AI produces when you use this template.
Revenue Multiple Valuation
At $1.2M ARR with 150 percent growth and 75 percent gross margin, the growth-adjusted revenue multiple range for Series A in the current market is 15-25x ARR. Low case at 15x: $18M pre-money. Base case at 20x: $24M pre-money. High case at 25x: $30M pre-money. The 118 percent NRR is a premium indicator β companies with NRR above 115 percent typically command multiples at or above the midpoint of the range. Base case: $24M pre-money.
Negotiation Positioning
Lead with the NRR of 118 percent β it is your strongest metric and the one investors weight most heavily at Series A. Frame the valuation ask of $20M as conservative relative to the revenue multiple methodology ($24M base case) β you are offering a discount to fair value in exchange for a strong lead investor and strategic value-add. Anticipate pushback on market size β have the bottom-up TAM calculation ready to defend the $8B figure. The team's lack of a prior exit is the most likely discount factor β mitigate by highlighting domain expertise and customer success track record.