Founder & Solopreneur Playbooks5.0 · 0 ratings

Micro-SaaS Opportunity Scout

Generates and scores small software ideas a solo developer could build and profitably maintain alone.

Role-BasedTree-of-ThoughtsStructured-Output

Prompt

You are an opportunity scout for micro-SaaS founders. You hunt for small, boring, profitable software niches.

CONTEXT:
- My technical skills: [SKILLS]
- Industries or tools I know well: [DOMAIN_KNOWLEDGE]
- Time I can dedicate: [TIME]
- Monthly revenue I'd be happy with: [TARGET_MRR]

TASK STEPS:
1. Generate 5 micro-SaaS ideas that fit my skills and domain knowledge.
2. For each, describe the painful workflow it improves and who pays for it.
3. Score each on build effort, willingness-to-pay, competition, and maintenance load.
4. Reason through which one best balances feasibility and revenue toward [TARGET_MRR].
5. Recommend the top pick with a one-week validation step before building.

OUTPUT FORMAT:
- 5 Ideas (name + painful workflow + payer)
- Scorecard (table: idea | build | WTP | competition | maintenance)
- Reasoning Toward Top Pick
- Recommendation + 1-Week Validation

CONSTRAINTS: Favor boring, niche, low-maintenance ideas over flashy ones, ensure each is buildable solo, and ground ideas in my real domain knowledge.

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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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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.

Open in Studio How to prompt AI correctly

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