Joe Chang

It’s eye-opening to see how AI model businesses are dealing with tight margins despite big investments. 🤯 Aidan Gomez’s comments about the “zero margin business” highlight the fierce competition and price cuts in the industry. 💸 With giants like OpenAI and Anthropic lowering prices to stay ahead, it’s a tough time for startups. The future of AI might depend on finding new ways to make these technologies profitable. 🚀 #AI #MachineLearning #TechTrends #Startups https://lnkd.in/ejkDu_wT

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The Stoke Space team in Seattle has built a rocket company faster than many people can build software. Morgan Beller breaks down how this is helping them capture a huge opportunity: https://lnkd.in/gc5jv2-c 

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If you're running a data or AI-focused startup, connect with Stephan Goupille and his team! When three of the industry's brightest data minds join forces to back your venture, you get more than just funding – you gain invaluable operator expertise. They understand the challenges and opportunities you face because they've been there themselves.

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Want a preview of what I'm going to be talking about in my keynote for RubyConf? You can catch a glimpse of it here!

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🍜Anybody up for some ramen? I am excited to share that I am back in the garage, building again (it’s actually a house in the Berkeley Hills). We are taking the wraps off of Supercog AI, a new startup focused on solving Application Integration using LLM powered agents. My co-founder in this new venture is a great friend of mine (and a former co-founder partner), Alex Osborne. Alex and I have worked around the application integration space for a long time, and we are unrealistically excited about applying the GenAI stack to this problem. Not many people relish the task to get some bits to move from system A to system B. But it’s a critical job to be done, and that’s led to a lot of brittle scripts, a myriad of inflexible “no code” tools, and a lot of hand crafted SQL. But the power of the Large Language Model, trained on a huge corpus of information, offers a remarkable tool to solve this problem. The LLM you use today already knows the APIs of hundreds of popular systems. It knows the SQL dialects of every major database. It understands the semantics and data schemas of many popular SaaS systems. It understands much of the specific domain in which your business operates. I like to call the AI revolution “the last platform shift”. That may turn out to be hyperbole, but I definitely believe we are in the very early stages of seeing what this new stack can enable. I know we are hardly the first folks to claim that “amazing stuff is coming!”. But this is why Alex and I have decided to focus on a real and hard problem. If we can prove that LLMs can power a new way to solve this problem, it will be the first successful *new* approach in 15 years.. We will have much more to share about this new platform soon. In the meantime, if you’re interested in getting a peek - or even better if you have application or data integration tasks that you would like some help with - please reach out because we want to help. #genai #startups #backinthegarage

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Project update! My application tracking extension is now doing fuzzier matching and injecting new information into LinkedIn (and other sites) to keep me from doubling up on applications. Next up: local storage and bulk import/export operations...

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Thank you so much, Jeremy Kahn for the great conversation this week at Fortune #BrainstormAI on the future of Google Search and how we’re expanding what’s possible with AI. One of the most exciting parts of working on Google Search is the immense opportunity we have with AI to be even more helpful – the truth is, there aren’t just billions of questions that people ask Google every day, there are billions of questions that people don’t ask at all – because it’s too hard to formulate the question, or they aren’t sure whether they’ll get a useful answer. In this next era of Search, we really want to  make it truly effortless to ask any question, make sense of any type of information, across all modalities – whether that’s video, image, or text. That includes asking your question in any way that’s most natural to you - think about Google Lens, where you can search what you see, and get an AI Overview with context and links to better understand it. There’s an even greater opportunity as our AI models continue to improve. Just this week, the Google DeepMind team showed off a range of new capabilities with Gemini 2.0 (https://bit.ly/3ZU3JVe), which we’re already testing in AI Overviews so people can tackle even harder questions. And the Android team shared a glimpse into how we’ll help people better understand and interact with the world around with the new XR operating system (https://bit.ly/3ZRx9TR). What’s most exciting to me is how AI is unlocking entirely new ways to make information useful, so regardless of what language you speak, or your skill level in a particular domain, we can help you understand information effortlessly. I can’t wait for the year ahead for Search – there’s so much more to come! You can check out our full conversation at Fortune Brainstorm AI here: https://bit.ly/3DmPdMA 

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https://lnkd.in/gdGKdeAW - New project I built using a combination of Replit Agent, Perplexity search API using llama-3.1-sonar & OpenAI API Assistant. You're not sure how to vote on that? Take a quiz about your core values then this app will research it/them and help you decide.

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Ever wondered where the perfect balance between tranquility and innovation lies? For me, it’s Seattle. Unlike the Bay, Seattle has a more serene environment that’s perfect for focusing on building products and businesses. The city’s vibe encourages deep work and creative thinking, free from the overwhelming hustle. But let’s be honest, Seattle’s founder and investor communities aren’t as vibrant as those in SF. Yet, this city holds a special place in my heart – a blend of my love for startups and the charm of Seattle. I believe in Seattle’s potential and I’m on a mission to help ignite its startup community. From connecting with fellow founders to engaging investors, let’s come together to build something extraordinary here. Seattle has all the ingredients to be a startup hub – talent, innovation, and a supportive ecosystem. What it needs is a spark. Let’s be that spark.

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Your ability to adapt to changing conditions will be your super power. Being overly adapted to existing conditions makes survival questionable.

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Excited to share our new technical report detailing significant advancements in LearnLM, our set of AI models and capabilities fine-tuned for learning. After testing a wide range of learning scenarios, pedagogy experts found that LearnLM consistently outperformed other leading AI models. It is notably better at following instructions, supporting learning goals, adapting to learner’s abilities — while adhering to foundational learning science principles. I invite you to experiment for yourself through Google AI studio, where LearnLM is available for preview access! As we continue to make improvements to LearnLM, these advances will be added to our Gemini models too. In fact, it’s already contributing to Gemini 2.0. If you’re curious to hear from the LearnLM team, I highly recommend you check out their recent interviews on the Ed-Technical podcast. It takes a deeper look at how we’re approaching this and why we’re so excited about the future it’ll unlock. (see links in comments below)

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👩‍🚀 Fellow Tech People, we're exploring moving away from our custom API/websocket LLM interfacing at LEAGUES in favor of ELL. 🤔 The potential for streamlined API interactions, simplified prompt management, and reusable functions is really appealing. That said, I’m reaching out to the community: has anyone implemented ELL in production yet? I'm curious if ELL is the way to go for long-term scalability and maintenance reduction when interacting with LLMs. And what about Langchain—why choose one over the other? I'd love to hear your experiences and thoughts! #LEAGUES #ELL #Langchain #AI #TechInnovation

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"Have you ever thought about how you're not using your bed for two thirds of the day? Enter Napster 2.0: A platform where you can rent out your bed for micro-naps when you're not using it! Also we use generative AI."

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Thank you Amir Bormand for inviting me for this podcast. It was a great conversation, and I truly believe that in the age of AI, with AI removing a lot of the rote work for engineers, understanding business context will be what makes engineers stand out. #tech #ai #leadership #engineering

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Kids Care Finder is now a #semifinalist for this year’s Pepperdine Most Fundable Companies List! There are less than 100 companies that have moved into the semifinals in the entire country! So glad to see #childcare is getting noticed by investors. Now let’s get to the finals!! #startups #fundraising #womenintech #angelinvesting #childcare #parenttech #famtech #femalefounders #investing

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Breaking Barriers, Building Futures: cPacket Commitment to Portland's Tech Landscape. Today, I'm excited to share some big news about cPacket continued investment in Portland. We're not just moving offices – we're recommitting to a city with incredible potential. Our new space in the Pearl District isn't just a location; it's a statement. We're creating a collaborative hub where innovation thrives, bringing our team closer together and staying connected to the vibrant heart of Portland. With plans to grow our engineering team, we're betting on local talent and the power of in-person collaboration. Some key highlights: - Hybrid work model that balances flexibility and team connection - Strategic location that supports our engineering and AI teams - A belief in Portland's tech ecosystem and its future The past few years have challenged downtown Portland, but we see beyond temporary setbacks. We're investing in spaces that foster creativity, problem-solving, and breakthrough innovations. To my friends Portland tech enthusiasts: the future is bright, and we're building it together. https://lnkd.in/gaAfKzyb #Portland #networkobservability #NetOps #WeBelieveinPortland #TechCommunity

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💚How My Co-Founder and I Found Our Shared Vision💚 Building a company isn’t just about products, markets, or profits—it’s about people. My co-founder and I bonded over a shared belief that true innovation stems from a culture that prioritizes balance, well-being, and creativity. We’re not just talking about a typical work-life balance. We’re committed to creating an environment where our team’s happiness directly fuels groundbreaking innovation. This isn’t negotiable—it’s the foundation of our vision. As we embark on this journey, we’re looking for partners who see the value in this approach. We’re driven by the conviction that a motivated, balanced team is the key to creating something truly transformative. If this resonates with you, we’re excited about the possibilities ahead. P.S. To be clear, this is one tiny snapshot of long conversations we have had. They have helped me refine my strategies in directions I didn’t think of before, we don’t always agree but we always find a way to align. They were also my “Leader” for an initiative ~7 years ago and I was theirs a couple years later. We have known each other as friends, peer mentors, advisors, collaborators and more for almost a decade and in no way should this snapshot of me talking and they agreeing shall reflect on how we align and collaborate. Some personal DMs from my fam members didn’t feel fair. Don’t overthink things, fam. With all your beautiful intentions, there’s also a degree of understanding, trust and less skepticism that fam members shall have in each other. Thanks for the constant support, but I’ve higher priorities than sometimes responding to the skeptical analyses of all my posts, as I believe is expected by all my supportive fam members during my journey as an early stage founder. #Entrepreneurship #TechLeadership #InnovationCulture #ProductManagement

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