ProductHunt temperature check

    1

    Transform Product Hunt listings into deep competitive intelligence reports and customer language datasets.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Research 'AI-powered meeting recorders' on Product Hunt. Find the top 5 competitors, extract their positioning from creator intros, and summarize user complaints from the comments.

    Your agent does

    I've analyzed 5 competitors including Otter.ai and Fireflies. Reports generated:

    1. research_report.md: Synthesizes positioning (e.g., 'privacy-first' vs 'automation-heavy').
    2. comment_corpus.md: 150+ categorized user quotes highlighting 'bot intrusion' as a primary friction point.

    What you get

    Map competitor positioning using exact creator intro language.Extract raw user friction points and feature requests from comment threads.Generate structured JSON datasets of product launch feedback.Identify adjacent workflow tools and potential integration partners.

    About this skill

    The problem

    Product managers waste hours manually scraping Product Hunt listings to understand how competitors frame their value propositions. Relying on high-level vote counts ignores the critical user feedback and creator positioning hidden in comment threads.

    What it does

    • Identifies direct and indirect competitors using Product Hunt API-based discovery.
    • Extracts creator intros to map exact problem statements, differentiation claims, and workflow language.
    • Scrapes and categorizes the full comment corpus into pros, cons, friction points, and feature requests.
    • Isolates authentic user language from generic praise and self-promotional noise.
    • Generates a comprehensive PM research report synthesizing pricing, positioning, and feature patterns.

    Frameworks & tools

    Product Hunt GraphQL API v2, Python, and local JSON/Markdown artifacts.

    Why this beats prompting it yourself

    Generic LLM prompts rely on outdated training data and often miss niche competitors. This skill uses deterministic API scripts to pull live threads and creator intros, ensuring you see the actual language customers use today rather than hallucinated marketing fluff.

    Use cases

    • Perform category mapping for a new product idea to find underserved niches.
    • Extract exact customer pain points and "job-to-be-done" language for landing page copy.
    • Analyze competitor feature sets and pricing models based on launch day Q&A threads.
    • Build a structured dataset of user feedback for sentiment analysis and roadmap prioritization.

    Known limitations

    Requires a Product Hunt API token (PH_TOKEN). Product Hunt signal serves as directional research rather than absolute proof of total market demand.

    business-operations
    product-management
    competitor-analysis
    market-research
    graphql-api

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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