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    Loyal AI-native customers as a fundraising signal

    One post argues that loyalty from top AI-native companies signals product quality to investors, since these customers can build alternatives themselves and are quick to switch tools.

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    DH
    2 Sources, ,

    TLDR

    A post argues that revenue scale is important but insufficient for fundraising, emphasizing team caliber and lasting loyalty from top AI-native customers. It calls these companies “kingmakers”: they can build tools themselves, readily try alternatives and influence other buyers. In the author’s view, enterprise pilots, services and discounts can generate revenue without proving product quality, while loyalty from these demanding customers is harder to manufacture. The post also argues that engineers sharing what they use and founders comparing notes can help bring in more customers.

    Combined views

    51.2K

    2 Sources, first seen 14d ago

    Combined views

    51.2K

    2 Sources, first seen 14d ago

    405 likes
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    14d ago
    first seen 14d ago
    405 likes
    41 comments
    459 saves
    16 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

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    41 comments
    459 saves
    16 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    2 Sources

    @gokulrThe New Kingmakers It's become clear that revenue scale no longer matters - or is correlated - with raising a round. It's important but not sufficient. Besides team caliber, what ACTUALLY matters to fundraising is how many top AI-native companies use your products, love your products, embrace your products and profess undying loyalty to you (i.e. say they won't replace it at the drop of a hat). Why? AI-native companies are the hardest customers to win. They have the engineers to build it themselves. They have the taste to know when something is mediocre. They try every new tool the week it launches and rip it out the week after. If one of them pays you and stays, your product survived the toughest evaluation there is. Investors know this. Revenue can be bought. Pilots, services, discounts, a heroic enterprise sales team. ARR built from Fortune 500 pilots proves you can sell. The product might still be mediocre. Loyalty from a kingmaker can't be manufactured. These companies are the leading indicator. Investors are underwriting where the market will be in 5 years, and the AI-native companies are already living there. Their workflows today are everyone else's workflows in 2029. If they picked you, you've been chosen by the buyers everyone else will copy. The last reason is distribution. Kingmakers talk. Their engineers post what they use. Their founders compare notes. One of them begets the next three. Who There are probably ~50 AI-native companies that are perceived as kingmakers for startups. I've seen $50M+ rounds raised on the backs of just having one of these as a customer. (not pilot, but actual paying customer using the product as a core part of their infra and workflows). Meanwhile, I see early-stage founders spending 12 months chasing CVS, Walmart, and Pfizer. Long procurement cycles, security reviews, a pilot that never converts. Even when it lands, the logo proves you can survive procurement. That's the wrong thing to prove in 2026. If you're an early stage enterprise/B2B AI company, Instead of targeting CVS, Walmart, Pfizer, etc, go after the companies on Forbes' AI 50 list. The new milestone is kingmaker logos. That's what your next round will be priced on.
    @dharmesh@gokulr I think you're right. Do you happen to have the list of the 50 companies? Might be interesting to take that list and use AI to build up a mini database of which products they use.

    2 Sources

    @gokulrThe New Kingmakers It's become clear that revenue scale no longer matters - or is correlated - with raising a round. It's important but not sufficient. Besides team caliber, what ACTUALLY matters to fundraising is how many top AI-native companies use your products, love your products, embrace your products and profess undying loyalty to you (i.e. say they won't replace it at the drop of a hat). Why? AI-native companies are the hardest customers to win. They have the engineers to build it themselves. They have the taste to know when something is mediocre. They try every new tool the week it launches and rip it out the week after. If one of them pays you and stays, your product survived the toughest evaluation there is. Investors know this. Revenue can be bought. Pilots, services, discounts, a heroic enterprise sales team. ARR built from Fortune 500 pilots proves you can sell. The product might still be mediocre. Loyalty from a kingmaker can't be manufactured. These companies are the leading indicator. Investors are underwriting where the market will be in 5 years, and the AI-native companies are already living there. Their workflows today are everyone else's workflows in 2029. If they picked you, you've been chosen by the buyers everyone else will copy. The last reason is distribution. Kingmakers talk. Their engineers post what they use. Their founders compare notes. One of them begets the next three. Who There are probably ~50 AI-native companies that are perceived as kingmakers for startups. I've seen $50M+ rounds raised on the backs of just having one of these as a customer. (not pilot, but actual paying customer using the product as a core part of their infra and workflows). Meanwhile, I see early-stage founders spending 12 months chasing CVS, Walmart, and Pfizer. Long procurement cycles, security reviews, a pilot that never converts. Even when it lands, the logo proves you can survive procurement. That's the wrong thing to prove in 2026. If you're an early stage enterprise/B2B AI company, Instead of targeting CVS, Walmart, Pfizer, etc, go after the companies on Forbes' AI 50 list. The new milestone is kingmaker logos. That's what your next round will be priced on.
    @dharmesh@gokulr I think you're right. Do you happen to have the list of the 50 companies? Might be interesting to take that list and use AI to build up a mini database of which products they use.