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    Growth claims and margin risks in startup pitches

    One observer’s account of hundreds of pitches in 2026 pairs high valuations and rapid revenue growth with concerns about token-resale margins and contracted revenue that isn’t live yet.

    DE
    1 Source, 15d ago, first seen 15d ago

    TLDR

    An observer who says they’ve heard hundreds of startup pitches in 2026 describes many companies growing revenue more than tenfold that year, alongside high valuations and plentiful mergers and acquisitions. The same account flags low or negative gross margins when reselling tokens, nonstandard accounting, revenue concentration and high “contracted ARR”—annual recurring revenue—that isn’t live yet. Other observations include small teams, an apparent trend toward usage-based billing and software companies presenting themselves as AI tools to appeal to investors. Expensive computing resources, limited availability and thin technical differentiation also feature among the concerns.

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    1 Source, first seen 15d ago

    Combined views

    61.2K

    1 Source, first seen 15d ago

    476 likes
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    60 comments
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    30 reposts

    Sentiment

    Positive——Negative

    Summary

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    60 comments
    481 saves
    30 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @deedydasI’ve heard 100s of startup pitches this year. Here’s the good, the bad and the meh recurring trends from my experience: The good: - High raise amounts and valuations. More inflated for strong teams pre-revenue in hot areas (robotics, bio, personal agents) - Insane topline growth numbers, many growing >10x this year. By the time a round closes, a high valuation seems justified. - Tons of M&A It is what it is: - Revenue run rate = last month revenue x 12 - Small teams - Seat based < Platform fee < Usage based billing seems to be the trend for most products - Tranched rounds - Best teams have extremely fast product iteration speed - SaaS products positioning themselves as AI tools to seem appealing to investors The bad: - Low or negative gross margin if reselling tokens. Non-standard accounting - High “Contracted ARR” that’s not live yet - High revenue concentration - Expensive compute, limited availability, delays. Excess compute reselling - Many wrappers with very thin tech differentiation: “self improving harness”, “multi model / router”, “agent swarms”, “computer use” - Overworked employees. AI generated - All spaces seem very competitive - Areas can seem hot one moment before being not

    1 Source

    @deedydasI’ve heard 100s of startup pitches this year. Here’s the good, the bad and the meh recurring trends from my experience: The good: - High raise amounts and valuations. More inflated for strong teams pre-revenue in hot areas (robotics, bio, personal agents) - Insane topline growth numbers, many growing >10x this year. By the time a round closes, a high valuation seems justified. - Tons of M&A It is what it is: - Revenue run rate = last month revenue x 12 - Small teams - Seat based < Platform fee < Usage based billing seems to be the trend for most products - Tranched rounds - Best teams have extremely fast product iteration speed - SaaS products positioning themselves as AI tools to seem appealing to investors The bad: - Low or negative gross margin if reselling tokens. Non-standard accounting - High “Contracted ARR” that’s not live yet - High revenue concentration - Expensive compute, limited availability, delays. Excess compute reselling - Many wrappers with very thin tech differentiation: “self improving harness”, “multi model / router”, “agent swarms”, “computer use” - Overworked employees. AI generated - All spaces seem very competitive - Areas can seem hot one moment before being not