Hallway Chat

Fraser Kelton & Nabeel Hyatt
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Hallway Chat

Fraser & Nabeel explore what it means to build great products in this new world of AI. Two former founders, now VCs, have an off-the-cuff conversation with friends about the new AI products that are worth trying, emerging patterns, and how founders are navigating a world that’s changing every week. Fraser is the former Head of Product at OpenAI, where he managed the teams that shipped ChatGPT and DALL-E, and is now an investor at Spark Capital. Nabeel is a former founder and CEO, now an investor at Spark, and has served on the boards of Discord, Postmates, Cruise, Descript, and Adept. It's like your weekly dinner party on what's happening in artificial intelligence.

  1. Granola & The Art of Invisible AI - Christopher Pedregal

    -3 ДН.

    Granola & The Art of Invisible AI - Christopher Pedregal

    Nabeel and Fraser sit down for a round-table discussion with Chris Pedregal, founder and CEO of Granola, an AI note taking app, to discuss Granola’s evolution and product philosophy. Their conversation touches on the challenges of developing user-friendly AI products, and how to balance that with product vision. They also talk about what it’s like being a second-time founder, as well as if and when AI wearables will gain widespread adoption.  (00:00) - Christopher Pedregal - Granola & the Art of Invisible AI (01:05) - Second time founder syndrome (01:42) - The path to Granola (04:13) - Starting by "playing" (11:16) - The friend test (12:25) - Product philosophy behind Granola (16:25) - AI as Augmentor (22:04) - Balancing beginner and expert users (34:21) - Granola's Initial Launch and Challenges (34:52) - Balancing Product Development and Market Fit (35:58) - Where Granola is headed from here (40:00) - Vertical AI vs. General Assistants, who wins where? (42:44) - The Wisdom of Experts Era (50:54) - AI passing judgement (53:51) - Wearables role in AI (01:00:25) - Social Dynamics and Privacy Concerns (01:02:32) - The Need for New Norms and Labels (01:03:01) - What else could be Granola-ized

    1 ч. 7 мин.
  2. Distilling Lessons from AI in 2024

    26.12.2024

    Distilling Lessons from AI in 2024

    What lessons will we take from 2024's AI products into next year? How better to reflect on advancements in the field of AI over this past year than to ask AI itself? Today, Fraser and Nabeel use AI models like ChatGPT, Claude, and o1 to first look back and see if products and innovations of 2023 lived up to their hype in 2024. And to look at the show’s year in review, Nabeel puts these AI models to the test by feeding them episode transcripts and seeing which model produces a usable summary. Together, they also dive into the effectiveness of Google Gemini’s Deep Research tool, the rise of agentic computing in 2024, and whether products ever fundamentally change or just get constantly re-invented.  (00:00) - Introduction (00:48) - Reflecting on a Year of AI Releases (00:23) - The Rise of Agentic AI (00:38) - Google Gemini’s Deep Research (00:47) - Using AI Models to Review 2024 at Hallway Chat (00:56) - The Role of Taste in Making Great AI Products (00:06) - The Rollout of o1 (00:06) - WebSim - Self Expression Through Software (00:36) - Same Products, Different Iterations (00:39) - A Second Look at Apple Intelligence (00:10) - Living Agentically with AI (00:18) - Final Thoughts

    56 мин.
  3. Coaching Up: Should your AI be teaching you how to use it?

    22.11.2024

    Coaching Up: Should your AI be teaching you how to use it?

    Everywhere you turn, companies have shoved AI features into their products that no one is using. Today, Fraser and Nabeel ask each other—are there any AI features that you’re actually using in older products? Plus: How kids will be shaped using AI products daily. What would a fully unstructured Slack look like. AI email habits. Do we think incumbents will catch up with AI integrations? PREM framework for startup prioritization. Is this startups vs incumbents, or just startups vs the big llms? (00:00) - Intro (00:52) - Welcome to Hallway Chat (01:05) - What have incumbents really done with AI? (08:59) - Trends in AI integrations that work (20:21) - Reflecting, it's still early (23:42) - Creating AI that manages up (28:47) - PREM: A framework for prioritization (34:32) - Forget incumbents, how do startups fight fend off the LLMs? (37:24) - What are the new horizontals?

    42 мин.
  4. Q&A: Is NotebookLM an exception to a rule? When to copy? When are small improvements better than big bets? Will data privacy matter?

    01.11.2024

    Q&A: Is NotebookLM an exception to a rule? When to copy? When are small improvements better than big bets? Will data privacy matter?

    Open format Q&A this week. Fraser and Nabeel explore AI data privacy, the ethics of copying features, and maintaining innovation. They discuss enterprise data challenges, the importance of a strong product identity, and strategies for early-stage startups during fundraising season. (00:00) - Open (00:53) - Q&A Session Kickoff (01:14) - The data you gather is your roadmap (14:03) - The gravity of slowing down in your startup (21:20) - Your quarterly goal: Something Fundamentally Changes (21:57) - Low Risk, Low Outcomes (24:31) - Large Organizations and Mediocrity (30:58) - When to steal a feature?

    42 мин.
  5. "Software should be soft" - Meter Command with Anil Varanasi

    30.09.2024

    "Software should be soft" - Meter Command with Anil Varanasi

    Join Fraser, Nabeel, and special guest Anil from Meter as they dive into the innovation behind Meter Command. Meter's new interface has been called the "future of software" and a far ranging interview talks about the problem of designing product around personas, how command interfaces bridge the gap between CLI and dashboards, the importance of owning your tech stack, how your data is your product roadmap, and the orientation to long term thinking while still staying on the cutting edge. Links* See a demo of Meter Command* There's a lot of fine work from Bret Victor on visualization and interfaces, but here's one to get you started* Geoffrey Litt's Malleable SW in the age of LLMs* Hunter Walk's post on OKRs post his stint at Google (00:00) - Intro (00:19) - Meter Command and the future of software (03:36) - What we forget about software making (06:39) - Models make you reassess your own product (07:27) - Why aren't there more AI explorations in software? (09:38) - The "efficiency era" of startups (13:21) - Software should be soft (17:13) - The problem of "persona building" software (21:29) - Enterprise software is reporting (22:37) - Your data is your product roadmap (25:13) - Emersing in the trends of AI as a founder (27:27) - From janky prototype to custom model building (29:55) - "No AI" - Build for the problem, not the technology (36:50) - Full stack first, APIs over time (40:14) - If you want to be early you have to be full stack (48:28) - Long term orientation (50:56) - What one thing would you work on now (55:41) - End

    58 мин.
  6. The New Muse: Hobbyists and AI

    07.08.2024

    The New Muse: Hobbyists and AI

    How would you design an AI product differently for a hobbyist vs prosumer vs professional? Using MidJourney as a case study in the passion economy, they delve into how AI tools can help build communities and support semi-professional creators. They explore how these tools can democratize creativity, the role of art vs craft, the role of grit in skill building, cheating vs copiloting, the missing middle of the creative markets, and more. They also touch on the broader implications of AI in different creative fields from music, writing and podcasts. It's an exploration of how AI can help users maintain creative flow and the underserved opportunity for AI to help unleash the hobbyist.  Nabeel also spoke on Midjourney's unique growth loops on Unsolicited FeedbackLe Jin has great writing on the passion economy and wrote about the creative middle classLinus has an excellent article on Epistemic calibration that touches on taste, that we didn't get in the episode but worth seeing. Simply Drawing - ai feedback meets artRobert Morris' the Power Broker, which touches briefly on the rise of the professionalized classa little more on why bees wiggle outside of near-term evolutionary needs00:00 Intro 00:52 AI in Creative Endeavors 01:58 Market Expansion 03:01 The underexplored customer in AI 08:23 Finding other AI hobbiest opportunities 11:31 If they AI made it, are we building skill? 13:36 Difference between art and craft 14:40 Homework Helpers vs Writing Copilots 16:07 Hobbiests are not quite the creator economy 17:47 Product for hobbists 21:03 The missing middle of creative markets 26:42 AI's potential in the education of craft (00:00) - Intro (00:52) - AI in Creative Endeavors (02:00) - Market Expansion (03:02) - The underexplored customer in AI (08:25) - Finding other AI hobbiest opportunities (11:32) - If they AI made it, are we building skill? (13:38) - Difference between art and craft (14:42) - Homework Helpers vs Writing Copilots (16:09) - Hobbiests are not quite the creator economy (17:49) - Product for hobbists (21:04) - The missing middle of creative markets (26:44) - AI's potential in the education of craft

    29 мин.
  7. Making product on the S curve of AI. Plus, Anthropic Artifacts

    21.07.2024

    Making product on the S curve of AI. Plus, Anthropic Artifacts

    Fraser and Nabeel start by retcon'ing their earlier "maybe we should stop talking about models" and reflecting on the importance of adapting product strategy based how much disruption is happening in your market. The episode highlights the release of Claude Artifacts by Anthropic, and comparing it to other AI product innovations. They also nerd out on the Xbloom coffee machine and a robotic mop. Lastly, Fraser asks about how to navigate when a founder gets introduced to the wrong partner at a VC firm. (00:00) - Product development early on the S curve, exploring Anthropic Artifacts (00:43) - Welcome to Hallway Chat (00:58) - Strong Convictions Loosely Held (03:37) - Exploring Claude Artifacts (10:48) - S Curve Product Design (23:33) - The Instinct to Exhale: Post-Launch Reflections (25:25) - Balancing Innovation and Stability (27:00) - Leaning into risk (32:30) - Question: Getting introd to the wrong partner at a VC

    42 мин.
  8. Granola, Designing AI for User Agency, and how to compete with $$$

    02.06.2024

    Granola, Designing AI for User Agency, and how to compete with $$$

    Fraser and Nabeel dive into the evolving landscape of AI note-taking apps, focusing on a new product, Granola. They discuss Granola's unique approach of "enhancing your thought" instead of "thinking for you." They also explore: applying this idea to other categories, the influence of LLMs on UX, and the need for more experimental user workflows to unlock AI. They also discuss the challenges and dynamics of startup funding, the significance of capital in achieving market success, and how dynamics of AI team building are changing.  (00:00) - Introduction (01:05) - Introducing Granola: The AI Note-Taking App (02:19) - Granola's Unique Features and User Experience (04:54) - Challenges and Innovations in AI Note-Taking (06:53) - Granola's Practical Use Cases and Feedback (09:54) - Reducing Friction in Product Experience (13:04) - Where is the AI innovation? (16:11) - The Role of Incentives in Innovation (21:51) - When competitors raise 10x more than you (23:11) - Introducing Granola: The AI Note-Taking App (23:18) - Granola's Unique Features and User Experience (24:35) - Challenges and Innovations in AI Note-Taking (25:07) - Granola's Practical Use Cases and Feedback (25:19) - Reducing Friction in Product Experience (26:44) - Where is the AI innovation? (27:12) - The Role of Incentives in Innovation (27:59) - When competitors raise 10x more than you (28:34) - Overcapitalization and Its Consequences (29:21) - Customer-Centric Approach in Startups (30:22) - How AI Startups are Building Teams Differently (42:41) - Final Thoughts and Product Recommendations

    45 мин.
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Fraser & Nabeel explore what it means to build great products in this new world of AI. Two former founders, now VCs, have an off-the-cuff conversation with friends about the new AI products that are worth trying, emerging patterns, and how founders are navigating a world that’s changing every week. Fraser is the former Head of Product at OpenAI, where he managed the teams that shipped ChatGPT and DALL-E, and is now an investor at Spark Capital. Nabeel is a former founder and CEO, now an investor at Spark, and has served on the boards of Discord, Postmates, Cruise, Descript, and Adept. It's like your weekly dinner party on what's happening in artificial intelligence.

Информация

  • Автор
    Fraser Kelton & Nabeel Hyatt
  • Годы выхода
    2023 - 2025
  • Выпуски
    32
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © All rights reserved

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