Series A Pitch Prompts: 5 Sector-Specific Templates

5 pitch variants for climate, biotech, accessibility founders. Craft investor-ready narratives with sector-specific signal-framing and credibility.

For founders with 12–24 months runway preparing Series A pitch decks and investor narratives, generic pitch templates feel hollow. VCs expect sector-specific signal-framing: climate investors want emissions reduction pathways and carbon credibility; biotech VCs scrutinize regulatory clarity and IP defensibility; accessibility funders center user testimony and founder credibility. This 5-variant prompt pack cuts through template noise with 25–28 prompts per variant, each grounded in what that sector's investors actually evaluate. Every prompt is tactical—designed to be answered in 30 minutes and inserted directly into your deck or narrative. Variants cover climate-tech emissions storytelling, biotech regulatory pathway clarity, accessibility user credibility, underrepresented founder positioning, and deeptech non-expert translation. No filler, no one-size-fits-all vagueness.

Who this is for

Series A founder in climate, biotech, accessibility, or deeptech with 12–24 months traction, ready to articulate investor-specific narrative and eliminate generic template language.

Who this is NOT for

Not for pre-seed founders (no traction yet), not for Series B+ (you need custom deck strategy), and not for founders who want visual design help (these are prompts, not templates—you still design your own deck).

130 copy-paste prompts across 5 variants.

How to Use: Series A Pitch Prompts: Climate, Biotech, Accessibility & Founder Narrative (5 Variants)

> Your first useful result in under 5 minutes. This guide shows you exactly what you got, how the prompts work, and how to run them in ChatGPT or Claude.

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What's in This Bundle

| File | What It Is | When to Use It | |---|---|---| | all-prompts.md | Every prompt in one readable document | Browse, search, or print — start here | | climate-tech-pitch-emissions-narrative-impact-proof.json | Climate-Tech Pitch: Emissions Narrative & Impact Proof (26 prompts) | Variant-specific prompt set; use for that exact context | | biotech-founder-prompts-regulatory-clarity-ip-strategy.json | Biotech Founder Prompts: Regulatory Clarity & IP Strategy (26 prompts) | Variant-specific prompt set; use for that exact context | | accessibility-first-pitch-user-testimony-founder-credibility.json | Accessibility-First Pitch: User Testimony & Founder Credibility (26 prompts) | Variant-specific prompt set; use for that exact context | | underrepresented-founder-positioning-identity-credibility-narrative.json | Underrepresented Founder Positioning: Identity & Credibility Narrative (26 prompts) | Variant-specific prompt set; use for that exact context | | deeptech-pitch-clarity-non-expert-translation-moat-framing.json | DeepTech Pitch Clarity: Non-Expert Translation & Moat Framing (26 prompts) | Variant-specific prompt set; use for that exact context | | cover.png | Product thumbnail | Ignore this one — it's for the store listing |

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Quick Start (3 Steps)

Step 1 — Open all-prompts.md

Open this file in any text editor, Notion, Obsidian, or even a browser. It's plain text — no special software needed.

Scan the section headings to find the category that matches your situation right now.

> Tip: Use Ctrl+F (or Cmd+F on Mac) to search for a keyword to jump straight to relevant prompts.

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Step 2 — Pick a Prompt and Fill in the Variables

Every prompt contains one or more {{VARIABLE}} placeholders — these are instructions to you, not to the AI.

Replace each {{VARIABLE}} with your real information before pasting.

Example — before: ``` Analyze the following system: {{ARCHITECTUREDESCRIPTION}} within {{BUSINESSCONTEXT}}. ```

Example — after (paste this to the AI): ``` Analyze the following system: We have a REST API on Node/Express serving a web dashboard and a mobile app. We return 80+ fields per product even though mobile only uses 6. Within the context of a Series A SaaS with 12 enterprise customers, $180k ARR. ```

How detailed should my variables be? 2–5 sentences or a short bullet list is enough Real and specific beats long and vague A rough draft is better than waiting for perfect

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Step 3 — Paste into ChatGPT or Claude and Run

Recommended AI tools (in order of quality for these prompts): Claude Sonnet / Claude Opus (claude.ai) — best analytical depth ChatGPT GPT-4o (chat.openai.com) — great alternative ChatGPT GPT-4o mini — works for quick exploration; less depth

Free tier works. Paid tier gives better and longer responses.

Paste the entire filled-in prompt — do not summarize or shorten it. After the first response, follow up with questions like: "Focus on point 3 — give me a concrete example" "Rewrite this as a one-page memo for a non-technical stakeholder"

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Common Questions

Q: Do I need to use every prompt? No. Think of this pack like a reference manual — use what fits your situation. Most buyers find 3–5 prompts they return to repeatedly.

Q: The AI gave me a vague answer. What do I do? Add more specifics to your variable text. One extra paragraph of context typically produces a dramatically better result.

Q: Can I share these prompts with my team? Your license covers personal and internal team use within one organization. You may not resell or republish the prompts publicly.

Q: Can I use these in other AI tools (Gemini, Perplexity, Copilot)? Yes. The prompts are plain text and work in any LLM chat interface.

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One-Line Cheat Sheet

> Open all-prompts.md → find a prompt → replace {{VARIABLE}} with your real situation → paste into Claude or ChatGPT → follow up.

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Questions? Email: shaattrading@gmail.com