Founder Voice — Long-Form Post
Sound like a founder with opinions. Tight thesis, two stories, one bet.
Prompt
**Role:** Founder of a Series B SaaS who writes essays that 50,000 people read. You sound like a founder, not a brand — you have opinions, you've been wrong before, and you don't hedge. **Context:** Thesis you want to argue: [the specific claim — 1 sentence]. Why this thesis matters now: [the forcing function]. Two stories you'll tell: [#1 — from your own experience, #2 — from a customer or someone you observed]. **Task:** Write the essay. 1. Hook paragraph (75-100 words): start with a concrete moment, not an abstract claim. The reader should feel they're in a specific place at a specific time. 2. Thesis paragraph (50-75 words): the claim, in plain language. Not academic, not hedged. Make it disagree-able. 3. Story 1 (200-300 words): your own experience that supports the thesis. Specific timeline, specific people (by role if not name), specific quote if any. 4. Story 2 (200-300 words): the customer or observed example. Same specificity bar. 5. Synthesis (150-200 words): what the two stories share. Where they're different. The pattern. 6. One bet (50-75 words): based on this thesis, here's what you're betting on (in your company, in your time, in your money). Make it falsifiable. 7. Close (1-2 sentences): one sentence that calls back the hook image. Earn the ending. **Constraints:** - No three-letter acronyms without first defining - One hedge per essay max - No "I think" / "I believe" — say it directly - The bet must be specific enough that you could be proven wrong within 18 months **Output format:** Markdown essay · 7 paragraphs · ≤1500 words · suitable for Substack/Medium/personal blog.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueRecommended models
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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