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competitor-landscape

Map startup competitive landscapes and write competitors.json with JTBD and bets matrix.

Updated Aug 27, 2026
Search Tags:#competitor analysis#moat assessment#early-stage#deal memo#bets matrix
One-click install
npx skills add https://github.com/notmehul/mia --skill competitor-landscape-notmehul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitor-landscape
Source: https://github.com/notmehul/mia/tree/main/mia/skills/competitor-landscape
Command: npx skills add https://github.com/notmehul/mia --skill competitor-landscape-notmehul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The skill addresses the need to systematically map the competitive universe for early‑stage startups, identifying rivals, strategic bets, white‑space, and moat trajectories before drafting a deal memo.

Core Features & Use Cases

  • Competitor universe definition via JTBD and status‑quo mapping.
  • Bets matrix that evaluates technical architecture, wedge, data strategy, value capture, and expansion path.
  • Forward‑looking moat assessment focusing on trajectory, response scenarios, and timing windows.
  • Use cases include rapid desk‑research for a new seed investment, populating the competitor tab in the MI Google Sheet, and feeding downstream analyses such as feature‑comparison.

Quick Start

Ask the assistant to “run the competitor‑landscape skill on deal ABC123 and output the competitor overview and bets matrix.”

Frequently Asked Questions about competitor-landscape

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map the competitive landscape for an early-stage startup deal?▼

Mapping the competitive landscape for an early-stage startup involves defining the competitor universe through Jobs-To-Be-Done and status-quo mapping. This identifies rivals, strategic white-space, and generates a competitor table with bets matrix and moat trajectory for deal memos.

What is a bets matrix and how does it assess startup moats?▼

A bets matrix assesses startup moats by evaluating technical architecture, wedge, data strategy, value capture, and expansion path. This forward-looking moat assessment focuses on competitor trajectory, response scenarios, and timing windows before drafting an investment memo.

How do I generate a competitor table for an MI sheet from deal context?▼

Generating a competitor table for an MI sheet requires reading workspace deal context JSON files and optional value-chain data. The analysis outputs a competitors.json file containing JTBD mapping, bets matrix, and moat assessment for the target early-stage startup.

Can I run competitor analysis without providing value-chain data?▼

Yes, you can run competitor analysis without value-chain data. The mapping process requires workspace deal context JSON files to identify rivals and assess moats, while value-chain data is an optional input for enhancing white-space identification.

What is the best way to identify strategic white-space for seed investment research?▼

The best way to identify strategic white-space for seed investment research is through JTBD and status-quo mapping. By evaluating technical architecture and expansion paths across rival companies, analysts can pinpoint forward-looking moat trajectories and timing windows for the deal memo.

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