Avi Gupta’s Post

people don’t fall in love with technology. they fall in love with how it makes them feel it’s funny, isn’t it? we marvel at cutting-edge tools, but we only truly remember the ones that connect with us emotionally think about it, why do people still talk about the iPod launch from years ago? It wasn’t the tech specs, it was 1,000 songs in your pocket. no matter how advanced the technology, its success hinges on these three things: 1. clarity: simplicity over jargon, make it effortless to understand 2. relevance: it needs to solve a human problem, not just show off innovation 3. emotion: does it spark joy, trust, or even curiosity? in the race to innovate, it’s easy to forget this: technology serves people, not the other way around so, here’s a thought Is the tech you’re building speaking to your audience’s heart, or just their head? #saasai #technology

The recent Apple Intelligence announcement really gave me a lot to think about as an AI developer and product builder. Overall, it follows a theme of deeper integration of generative AI technology with the current software ecosystem. It’s exciting progress but certain paths and strategies feel different and important to get right. The Siri + ChatGPT integration is one such example. Assistants building on other assistants feel like a cool idea but so much can go wrong from a user experience perspective. Really curious how this turns out long term for Apple. More thoughts in my new video:

Here's our latest Category Pirates video on Apple's AI strategy. Apple's conclusion is: 1. AI is not a new category. 2. AI is making every category new. Smart choice to co-opt Open AI and MSFT vs. compete with them. And there's no doubt AI will re-invigorate the iPhone trade up cycle, as local AI will requires more memory and compute on your iPhone. Though we hope Apple has more cards up its sleeve and uses AI to make Vision Pro and other wholly new categories a reality! https://lnkd.in/gEgD7ner

A founder known for extreme attention to detail (you probably follow him) pushed our predictive typing AI to become better than Apple's. Originally, he reached out through our web form. They'd already tested our demo API against every other solution out there. First call, they skipped the usual demo — they already knew they wanted it. What followed was 6 months of detailed feedback and iterations. Their constant refrain: "You have to be better than Apple." We didn't talk pricing or contracts. We just kept improving based on their precise feedback. Our philosophy was: if they're investing this much time testing and refining our product, they'll ask to buy when they're ready. They did. Today, our tech is part of their stack. Often, the best deals come from letting your product quality speak for itself.

🤩 Amazed by #Apple's #WWDC2024 announcements. 🏹 If I look through the lens of a product manager 👀, achieving three milestones with a single, small, and simple move: Innovation User Engagement AI Market Impact. Let's see how: 🚪 Enter the AI world with a strong focus on enhancing user experience. ☀ Revolutionize digital chatting with Genmoji and Image Playground. 🕶 Strategically position Apple at the forefront of AI and user engagement. Check out 👇 #AI #UserEngagement #ProductManagement

Apple Keeps Alienating the Users It Says It Values Most The company's move to collect a fee from Patreon users is a bad sign. Read more here: https://lnkd.in/dPJVHbic . . Like 💝 Comment below ⏬ Share ✅ For More Such Updates Follow Us @qnewshub @qnewscrunch . . #qnewshub #qnewscrunch #StartupFunding

What is the most powerful tool in a product analyst's toolkit? 🧰 According to Timothy Chan of Statsig, the answer is “experimentation.” Tim breaks down the product experimentation approach that empowers companies like Amazon, Netflix and Facebook to understand the true business impact of every new feature. 📹 Full talk here: https://hubs.li/Q02ncR080

Apple Intelligence is now live in public beta. Here’s what it offers and how to enable it.

𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻: 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 🎨 𝗪𝗵𝗮𝘁 𝗜𝘀 𝗮 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻? It’s the idea that your team sees iteration as an ongoing process, not a one-off task. By embracing experimentation, companies unlock innovation and ensure they’re always adapting to user needs. 💡 𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗧𝗵𝗶𝘀 𝗖𝘂𝗹𝘁𝘂𝗿𝗲: 🌟 Encourage Small Wins: Promote incremental improvements over giant leaps. 📊 Leverage Data: Use analytics to uncover trends and validate design changes. 🛠 Empower Teams: Give designers and developers the freedom to test new ideas without fear of failure. 🔗 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Amazon is a leader in experimentation. From “1-Click Buy” to personalized recommendations, every feature stems from a culture of rapid iteration and A/B testing. 🎯 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Iteration isn’t just a tool; it’s a philosophy that ensures continuous innovation and user delight. #UXCulture #Experimentation #ContinuousIteration

Izmu - Apple Intelligence is now live in public beta. Here’s what it offers and how to enable it.