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- micro niche positioning builder
micro niche positioning builder
Systematic niche fit diagnosis and validation planning that prioritizes evidence over assumptions.
$5
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micro niche positioning builder
Example session with this skill installed
Expertise: Backend dev specializing in Postgres scaling. Audience: Mid-sized SaaS companies struggling with query latency. Competitors: Generic cloud monitoring tools. Constraints: 10h/week.
- Read your context and instructions
- Compiled the micro niche positioning
I have analyzed your inputs. While your expertise is high, the monetization evidence is currently unvalidated.
Niche Positioning Diagnosis
Fit Score: 18/25 (Strong)
Diagnosis: The alignment between your scaling expertise and SaaS latency issues is high. However, audience access is currently flagged as an assumption.
| Hypothesis ID | Audience | Positioning Statement | Key Assumptions |
|---|---|---|---|
| H1 | CTOs of Series A SaaS firms with 50+ Postgres tables | For scaling SaaS firms, our Query Guard is a performance audit that reduces P99 latency via index optimization, unlike Datadog, because it provides actionable SQL rewrites. | A1: CTOs prioritize latency over hardware vertical scaling. A2: Willingness to pay $2k for an audit. |
Differentiation & Monetization
| Hypothesis | Diff. Strength | Diff. Evidence | Path | Price Evidence | Priority |
|---|---|---|---|---|---|
| H1 | 4/5 | Focus on SQL rewrites vs. just alerts | Fixed-price Audit | None | 22 |
Validation Experiment (E1)
- Purpose: Validate A2 (Price/Demand)
- Method: Reach out to 10 CTOs in network offering a 'Latency Audit' at $1,500.
- Success Criterion: 2/10 agree to a discovery call specifically mentioning SQL performance.
- Time/Cost: 5 hours / $0.
- Decision Rule: If <1 lead, pivot to 'Database Cost Reduction' as the primary hook.
Uncertainty Register
| Assumption | Status | Confidence | Next Evidence Needed |
|---|---|---|---|
| Series A firms value SQL optimization over RAM upgrades | [ASSUMPTION] | 1/3 | Interview 5 CTOs |
| Fixed price of $2k is acceptable | [UNVALIDATED] | 0/3 | Cold outreach test |
Next Steps
- Review H1 positioning for technical accuracy.
- Execute E1 outreach on LinkedIn to resolve price uncertainty.
- Update the Expertise Adjacency score if target moves from scaling to security.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Most niche positioning tools generate optimistic marketing copy that assumes demand exists. Founders and experts often waste months building products based on unvalidated assumptions about pricing power and differentiation.
What it does
- Evaluates expertise and audience ideas through a 5-dimension Niche Fit Matrix.
- Generates traceable hypothesis pairs that link specific audience segments to unique positioning statements.
- Designs low-cost validation experiments with explicit success criteria and decision rules.
- Produces an Uncertainty Register that flags unvalidated claims regarding demand, pricing, and profitability.
- Prioritizes next actions based on a calculated Priority Score and the cost of resolution.
Why this beats prompting it yourself
Standard LLM prompts tend to hallucinate market demand and offer "yes-man" feedback. This skill enforces a strict anti-delusion framework that labels every output as EVIDENCE, ASSUMPTION, or UNVALIDATED, forcing you to face the actual risks in your business model.
Use cases
- Vetting a new side project idea before writing code or buying a domain.
- Pivoting an existing service offering by identifying observable gaps in competitor solutions.
- Creating a research-backed go-to-market plan for a niche consulting practice.
- Designing $0 to $100 experiments to test willingness-to-pay for a specific feature set.
Known limitations
Requires at least one audience idea and a defined area of expertise to function. It will not fabricate market data or "invent" a niche for you if your inputs are empty.
Requires specific expertise and at least one audience hunch to start. Will refuse to generate hypotheses if inputs are insufficient. Does not provide real-time market search data.
How to use
- 1
Connect your agent to the Agensi MCP
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- 2
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- 3
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