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Claude/ChatGPT Prompt to Build an Investor One-Pager and Metrics Summary

Generate an investor-ready SaaS one-pager: problem, solution, TAM/SAM/SOM, traction metrics, differentiation, team, and the raise, under 600 words.

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Your Prompt
prompt.txt
You are a senior startup operator writing for investors. Specify a one-pager tight enough to send, with honest numbers and zero hype.

Context:
- Company: our AI SaaS startup
- Stage: pre-seed raising a first round
- Key metrics: $8k MRR, 15% MoM growth, 92% net retention
- The ask: $750k on a SAFE

Deliver:
1. Problem and solution, two sentences each, no buzzwords.
2. Market size with sourced TAM, SAM, and SOM, and the method behind each.
3. Traction from $8k MRR, 15% MoM growth, 92% net retention: MRR, growth, retention, CAC, and LTV.
4. Product differentiation stated as what only you can do.
5. Team highlights tied to why this team wins.
6. The raise $750k on a SAFE and a use-of-funds breakdown.

Return the one-pager in under 600 words, tight numbers, regulator-clean tone.

What this prompt does

This prompt assigns the AI a senior startup operator role and makes it write an investor one-pager tight enough to send, with honest numbers and zero hype. You provide the [company], [stage], [key_metrics], and [the_ask]. It returns a two-sentence problem and solution, a market size with sourced TAM, SAM, and SOM and the method behind each, traction drawn from your metrics, product differentiation stated as what only you can do, team highlights tied to why this team wins, and the raise with a use-of-funds breakdown — under 600 words.

The structure works because it forces specificity where vagueness loses investors. By pulling traction directly from [key_metrics] — MRR, growth, retention, CAC, LTV — and asking for the method behind each market-size number, the prompt produces figures an operator can defend. [stage] calibrates expectations for the round, and [the_ask] anchors the use-of-funds. The regulator-clean tone keeps it from drifting into the pitch-deck superlatives investors discount.

When to use it

  • You need a one-pager that reads like an operator wrote it, not a hype deck.
  • You are raising and want traction metrics stated honestly and specifically.
  • You want TAM, SAM, and SOM with the method behind each, not a hand-waved number.
  • You need differentiation framed as what only you can do.
  • You want a use-of-funds breakdown tied to the actual raise.
  • You want the whole thing tight, under 600 words, and regulator-clean in tone.

Example output

You get a single document under 600 words: a two-sentence problem and solution, a sourced TAM/SAM/SOM with each method shown, traction from your metrics (MRR, growth, retention, CAC, LTV), differentiation stated as what only you can do, team highlights tied to why this team wins, and the raise with a use-of-funds breakdown — in a tight, regulator-clean tone.

Pro tips

  • Make [key_metrics] specific or leave them out; investors forgive small numbers but not vague ones, and the traction section leans entirely on these.
  • Set [stage] accurately so the expectations and the depth of the ask match the round you are actually raising.
  • Tie [the_ask] to a real use-of-funds plan, since a number with no allocation reads as guesswork.
  • Keep the differentiation concrete — "what only you can do" beats a list of features anyone could claim.
  • Verify the TAM/SAM/SOM method the model proposes; sourced reasoning is the point, and an unsupported figure undercuts the rest of the page.
  • Tie the team highlights to why this specific team wins, rather than listing titles, since investors back the people as much as the numbers.
  • Trim toward the 600-word cap so the page stays scannable and an investor can read it in one sitting without losing the thread.

Frequently Asked Questions

Will it invent metrics I do not have?
It draws traction from the `[key_metrics]` you supply, so it works with your real numbers. The advice is to make them specific or omit them entirely, since investors distrust vague figures, and you should never let the model fabricate metrics you cannot defend.
How does it size the market?
It produces TAM, SAM, and SOM with the method behind each, rather than a single hand-waved number. Review those methods carefully, since a sourced calculation is what makes the market section credible, and an unsupported estimate weakens the whole one-pager.
Is it really under 600 words?
The prompt targets under 600 words to keep the page scannable in one sitting. Check the final count and trim if needed, prioritising tight numbers over prose, since a one-pager that runs long defeats the purpose of being a quick, sendable summary.
Can it match an investor-appropriate tone?
It is written in a regulator-clean, hype-free voice meant to read like an operator wrote it. That keeps it from sounding like a pitch deck, though you should still review every claim, since the credibility of the document rests on the numbers being honest and verifiable.
Engr Mejba Ahmed

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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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