Zapier's 100x LLM opportunity

Jan-Erik Asplund
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TL;DR: Zapier’s ChatGPT plugin gives LLMs the key thing they’ve been missing: the ability to manipulate external software. But Zapier’s mission now is to harness LLMs themselves to reinvent the concept of a ‘zap’ and commoditize OpenAI—for more, check out our interview with Mike Knoop, co-founder and CPO at Zapier.

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  • In 2015, Magic found extreme product-market fit (and a Sequoia Series A term sheet) with 17,000 requests in 48 hours for its text-based assistant that could get you anything—but it failed to scale because it was completely human-powered behind the scenes. Magic and similar products like Fin (started by Venmo founder Andrew Kortina and ex-VP of Product at Facebook Sam Lessin) pivoted into becoming workforce automation and analytics platforms for large human teams. (link)
  • That pattern of product-market fit for an on-demand intelligent assistant re-emerged with ChatGPT, backed by AI tech that could scale to 100M+ users and beyond. Compare the $5/hr/person unit cost of overseas labor delivered via a chat interface vs less than $20/month for near-unlimited use of a large language model (LLM). (link)
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  • Zapier sits at a massive inflection point with a 10x-100x opportunity in front of it by evolving from a trigger-and-action based prosumer workflow tool to an AI-powered virtual assistant that anyone can use. Already a search destination with millions of visitors monthly via its dominance of programmatic SEO and editorial productivity content, Zapier has the potential to integrate AI end-to-end in the user experience to make automation more accessible and dramatically increase its total addressable market (TAM). (link)

For more, check out our interview with Mike Knoop, co-founder and CPO at Zapier, as well as this other research from our platform:

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