BEGINNERRESEARCH06 de mai. de 2026

    Pitch Deck Roast

    Brutal, structured critique of your pitch deck across 10 criteria. Points out what's vague, what you're hiding and what to cut.

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    WORKS IN
    CLAUDEany setup

    Pure-LLM skill. No MCP, no paid tool required. Works on Claude.ai web, desktop and Claude Code.

    WORKS BEST WITH
    • Filesystemoptional

      reads the deck PDF straight from disk — no pasting slide by slide

    • Web Search (built-in)optional

      validates market claims and competitor positioning in the deck

    TAGS
    founderpitchdeckinvestorreview

    What this skill does

    Takes your pitch deck (PDF, Pitch.com / Notion link, or pasted text) and returns a brutal, structured critique across 10 objective criteria. It doesn't soften. It points out what's vague, what you're hiding, and what to cut.

    The 10 criteria

    • Problem: which exact pain, for whom, how often
    • Insight: what you know that nobody else does
    • Market: TAM/SAM/SOM with a source (not a guess)
    • Solution: why THIS solution solves that problem
    • Traction: an honest KPI, no vanity metric
    • Model: ACV, churn, CAC, LTV — real numbers
    • GTM: who you reach first and how
    • Team: why these 3 people and not another 3
    • Roadmap: 6 months, with risks identified
    • Ask: round, valuation, precise use of the money

    When to use

    • Before sending the deck to your first investor
    • When you think it's already good (check your bias)
    • Pre-demo day, to rehearse the story

    Don't use it for:

    • Polishing copy (use landing-copy-engine)
    • Validating a market thesis (use competitor-teardown)

    How it works

    1. Reads the deck slide by slide
    2. For each of the 10 criteria, scores 1-5 with a 1-line rationale
    3. Points out the 3 worst criteria and what to rewrite
    4. Suggests the ideal slide order (many founders get this wrong)
    5. Returns a summary card with the overall score and the 3 next steps

    Output example

    Pitch Deck Roast: marfin.co
    Overall score: 67/100
    
    Critique by criterion
    1. Problem      4/5  clear but no frequency ("how often does it happen?")
    2. Insight      2/5  generic. What is your proprietary bet?
    3. Market       3/5  TAM with no source. Link Statista or similar.
    4. Solution     4/5
    5. Traction     1/5  only shows MAU. Show 30d retention and ACV.
    ...
    
    3 urgent rewrites
    - Slide 4 (Insight): replace "AI is the future" with a concrete bet
    - Slide 6 (Traction): add a cohort retention chart
    - Slide 9 (Team): explain each founder's relevance to the problem

    Pre-reqs

    None. It's pure-LLM, runs on any Claude setup.

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