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ChatGPT Is the New Excel

Plus: Make a website with just two words

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Hello, and happy Sunday! The best thing to come out of the first week of the Summer Olympics in Paris (other than the outré opening ceremony) might have been the steampunk vs. tech founder sharpshooters.We'll be watching during week two.—Kate Lee

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Knowledge base

"The Great AI Unbundling" by Dan Shipper/Chain of Thought: Excel spawned the B2B SaaS revolution—now AI chatbots are poised to similarly catalyze a new market. Just as Excel's generativity led to niche workflows that became standalone apps, Dan believes that ChatGPT and Claude are creating opportunities for the next wave of startups. Read this if you want to spot the next big AI startup opportunity hiding in plain sight (hint: It's probably in your chat history).


📼 On Friday, Dan got access to ChatGPT’s new Advanced Voice Mode feature. You can watch his review on YouTube. Look out for a longer piece later this week.


🔏 "The Art of the AI Pivot" by Jason Shen: Gamma was a struggling startup whose users faced the classic “blank page problem.” When the company embraced AI, it became a 3-million-user juggernaut in just three months. This case study in pivoting demonstrates the importance of catching the right tech wave at the perfect moment. Read this to learn how to turn your startup's biggest weakness into its greatest strength—and why the best business ideas often come from solving your own frustrations.

🎧 "How a Top Podcaster Rides the AI Wave" by Dan Shipper/Chain of Thought: Nathaniel Whittemore, host of The AI Daily Brief podcast, details his AI-powered workflow with Dan on the latest episode of AI & I. He shares a wealth of practical tips, like curating news with X bookmarks and generating eye-catching thumbnails with Midjourney. Listen to or watch this episode if you want to better curate your own information stream or level up your content creation. Subscribers have access to the full episode transcript.

"Inside the Pod: Momentum Is the Key to Productivity" by Rhea Purohit/Chain of Thought: Ever wished you could build a website with an absolute minimal amount of effort? Nick Dobos's Grimoire, the top-ranked custom GPT for programming, makes it possible with just two words. This coding assistant uses momentum and fantasy-themed hotkeys to keep you productive. Read this if you want to learn how to use AI to code faster, ship projects instantly, and programming from scratch. 

“Tinder Is Way More Important Than You Think” by Evan Armstrong/Napkin Math: Tinder isn't just for hookups—as it turns out, it's a vital cog in the U.S. economic machine. With birth rates plummeting and young workers becoming scarce, online dating might just be our secret weapon for population growth. (It’s also how Evan met his wife.) Read this for a look at how your next match could save Social Security (and why we desperately need a better dating app).


Data mining 

MetaAI’s unexpected power users. If you had to guess where in the world Meta was finding the highest utilization of its Meta AI product—an AI assistant—where would it be? If you guessed “India,” you’d be correct. During the company’s second-quarter earnings call, its chief financial officer said, “People have used Meta AI for billions of queries since we first introduced it. We're seeing particularly promising signs on WhatsApp in terms of retention and engagement, which has coincided with India becoming our largest market for Meta AI usage.” [Emphasis added] India is already Meta’s largest install base by far, and it’s not even close:

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Comments

Craig Gordon 11 months ago

although this is a good post,I think you are missing the forest through the trees. AI just mimicing and existing success story will never be big enough to create return on huge investments bing made. Some may be able to make some money on this but the true successes will be on having AI create more breakthroughs like Chatbot.....which as we are starting to see has one big flaw in it and the is humans go from collecting data to making it information based on accuracy, meaning and truthfulness filters then inthellifence. Moving from mimicing data to intelligence has one major flaw and that is on issues that don't have proper past data to make decisions. Hopefully we will be able to solve this problem without another major AI winter but right now AI has to be overseen for those types of issues by humans