you are ready to blow up the distribution of your current product-market fit and have initial validation of your distribution methods.
MARKET TRENDS
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Product Strategy: Aligning Growth Goals with Go-to-Market Model
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with acquisition, monetization, and retention distribution goals in mind from the very beginning. If you are planning to be marketing/sales-led, then the product experience will look very different from inception, as you will have humans responsible for growth levers.
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PMF validation must precede growth scaling
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Growth is about increasing the distribution of the core product. If there is no validation that the product has found PMF, growth has nothing to grow. PMF has to happen first, then growth.
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Apple App Store Model: GPT Derivatives Ecosystem Development
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Also what became really obvious after the app store was that Apple was not going to be designing/building/discovering the killer use cases for the iPhone (except maybe passbook). I think the same thing is going to probably be true about GPT/Llama derivatives.
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ChatGPT Works But Far From Fully Baked Says Expert
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I mean you could say the same thing about ChatGPT. It actually *works* and is (sort of) immediately useful after a million false starts in AI, and you can look at it and see the potential for an industry-altering tech. But it's nowhere close to fully baked.
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New LLM Survey Report on Production Adoption and Customization Techniques
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Check out our new #LLM survey report to get a lowdown on the current state of LLMs in #production. Topics covered: LLM adoption Top use cases Key challenges when productionizing LLMs Techniques for customization incl. #finetuning and more! https://
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Resetting AI Expectations: Beyond the Hype Cycle
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With the AI hype fading into the distance (which really started back in July), it's time to reset our expectations. And also clarify what we really mean by AI's "iPhone moment," which we clearly haven't hit yet.
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Data Layer and AI: Navigating the Trough of Disillusionment
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The data layer is in that 2012 era of the iPhone moment. If we're talking about AI, we're probably at around 08-09 at best. So as we dive into the "trough of disillusionment" that Gartner loves to call it, it's important to remember we see these cycles a lot—and have a ways to go
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Data Layer Revolution: Snowflake and Databricks Transform Enterprise Infrastructure
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If there is an "iPhone moment" happening right now, it's in the data layer. Snowflake and Databricks basically came in and re-wrote the entire process of storing and accessing data for, well, everything, and spawned a whole universe of $1B+ companies around the two.
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The Real iPhone Moment: Connected Apps and Cross-Platform Integration
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A whole generation of apps built on top of connected APIs and accessible through the App Store built out the "real" iPhone moment. It wasn't until we were cross-posting Instagram photos and broadcasting Foursquare check-ins across networks that it started to "make sense."