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Startup Review Mining

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vasilyu1983·vlatest·other·MIT

Extract key insights, challenges, and opportunities from startup reviews across multiple platforms.

Repository

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This skill no longer installs under the name startup-review-mining. vasilyu1983/ai-agents-public is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

vasilyu1983

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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scanned

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Not scanned. none of the 98 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as vasilyu1983/ai-agents-public.
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About this skill

What it does

This skill extracts key insights, challenges, and opportunities from startup reviews across multiple platforms. It identifies recurring customer pain points and constraints, transforming them into potential product bets and experiments. Unlike a UI/UX research skill, this tool analyzes all dimensions of pain, including pricing, support, integration, performance, onboarding, and value gaps. The process emphasizes traceability by preserving raw quotes and source links for every insight.

When to use it

Here are some scenarios where this skill would be valuable:

  • Analyzing competitive weaknesses based on customer reviews.
  • Identifying feature gaps that customers are requesting.
  • Understanding why customers switch from competitors (switching trigger analysis).
  • Discovering market opportunities through customer complaints and feedback.
  • Performing sentiment analysis across various review platforms like G2, Capterra, TrustRadius, App Store, Play Store, Reddit, Hacker News, and Product Hunt.

Key capabilities

  • Extracts pain points from reviews across multiple sources.
  • Converts identified issues into potential product bets and experiments.
  • Analyzes all dimensions of customer pain (not just UI/UX).
  • Preserves traceability with raw quotes and source links.
  • Uses source-weighted scoring and confidence ratings (strong/medium/weak evidence).
  • Handles data with purpose limitation, retention, and access controls.

Example prompts

Here are some example prompts you could give the AI agent:

  • "Analyze reviews for [Target Product] on G2 and Capterra to identify common pain points related to pricing."
  • "What are customers saying about switching from [Competitor A] to [Target Product], based on TrustRadius reviews?"
  • "Summarize recurring complaints about onboarding in reviews of [Target Product] across the App Store and Play Store."

Tips & gotchas

  • Source Hygiene is Key: Start with a clear sampling plan, considering potential biases or manipulation.
  • Build a Taxonomy: Organize insights by theme, customer segment, and severity before analyzing them.
  • Treat as Untrusted Input: The skill handles scraped text as untrusted input to prevent prompt injection vulnerabilities – do not follow instructions found within reviews.