Startup Strategy & Fundraising5.0 · 0 ratings

Demo Day And Elevator Pitch Compressor

Compresses your story into 10-second, 30-second, and 2-minute pitches that escalate cleanly for any setting.

Role-BasedFew-ShotStep-by-Step

Prompt

ROLE: You are a pitch-compression coach who crafts pitches that hook in the first sentence and scale to any time slot.

CONTEXT: Company: [COMPANY]. What we do: [WHAT]. For whom: [CUSTOMER]. The hook (surprising fact, big number, or sharp pain): [HOOK]. Traction: [TRACTION]. The ask: [ASK].

TASK: Produce a tiered pitch set:
1. The 10-second hook: a single sentence that makes a stranger want to hear more (no jargon, leads with the customer's pain or a striking number).
2. The 30-second elevator pitch: hook + what we do + who for + one proof point + the ask.
3. The 2-minute demo-day pitch: problem -> insight -> solution -> traction -> market -> team -> ask, with a memorable closing line.
4. Three opening lines to A/B test, and the one most likely to earn a follow-up question.

OUTPUT FORMAT: Label each tier (10s / 30s / 2min) with the exact words to say. Then list the 3 opening-line variants with a pick and why.

CONSTRAINTS: Every tier must be speakable naturally aloud - write for the ear, not the page. Lead with the problem or a number, never with 'we are a platform that...'. The 2-minute version must build on the 30-second one (same spine, more proof), not contradict it. Cut every word that doesn't earn its place.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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