Logan Kilpatrick breaks down how Google AI Studio is evolving from a model playground into a real app-building environment.In this episode, we cover Gemini’s latest upgrades, stronger coding capabilities, improved reasoning, and the new full-stack runtime inside AI Studio that makes it possible to vibe code full apps. Logan also gives a live look at how these tools work in practice, including building multiplayer experiences directly inside the product.We dive into:- Gemini’s latest model upgrades- What’s new inside Google AI Studio- How vibe coding full apps actually works- Why multiplayer app building matters- What this means for AI builders going forwardIf AI tools are moving from chat to software creation, this is the shift to understand. This episode shows where Google is pushing AI Studio next and why it matters for anyone building with AI.Subscribe for deep conversations on AI, agents, and the future of intelligence.

Google Search is changing, fast.In this episode, Robby Stein (VP of Search at Google) breaks down how AI is transforming Google from a keyword-based search engine into a conversational, reasoning, and action-driven system.Powered by Gemini 3 (Flash & Pro), AI Mode now supports complex multi-turn queries, real-time tool use, interactive simulations, and increasingly personalized results through opt-in “personal intelligence” that connects services like Gmail and Photos.We explore:- Why search queries are getting longer and more complex- How AI Mode actually works under the hood- Gemini 3 Flash vs Pro (speed vs reasoning)- Tool use, thinking models, and real-time finance/graph simulations- What “agentic search” really means- AI booking reservations and completing tasks for you- Personalized search powered by your own data (opt-in)- The future of Google in the next 6–9 monthsSearch is moving beyond answers.It’s becoming a planning tool, a thought partner, and eventually an execution layer that can research, decide, and act on your behalf.If you want to understand where Google Search is heading and what that means for creators, founders, and everyday users, this episode lays it out clearly.Subscribe for deep dives into AI, agents, and the future of intelligence.

This AI app reached $10M in revenue in under a year by helping people create viral AI influencers and UGC-style videos at scale. In this episode of the Superhuman AI Podcast, we sit down with Romain Torres, co-founder of Arcads, to break down how AI avatars are changing content creation, advertising, and influencer marketing.Romain walks through how anyone can create realistic AI influencers by uploading an image, writing a script, and generating videos in minutes. We explore how brands and creators are using AI avatars to run ads, scale social content, and even clone themselves without filming.We dive into:- How AI influencers and avatars are created step by step- Using AI-generated UGC for ads on TikTok, Instagram, and Facebook- Why AI videos are becoming indistinguishable from real humans- How creators can scale themselves with AI avatars- The workflow behind generating thousands of videos from one script- How Arcads reached $10M ARR with a team of fewer than 10 people- The future of AI-generated content and influencer marketingIf you want to understand how AI influencers actually work, how brands are using them today, and why this is becoming a massive opportunity for creators and marketers, this episode shows the full picture.Subscribe for deep conversations on AI, agents, and the future of intelligence.

AI agents are moving beyond chat and into real work. In this episode of the Superhuman AI Podcast, Sandra Dajic shows how no-code AI agents can actually run workflows across a business — taking actions, not just answering questions.Sandra walks through how non-technical teams are building AI agents that cancel subscriptions, send invoices, book meetings, handle customer support, and connect tools like Stripe, Calendly, and Zendesk without engineering help. This is a practical look at how AI agents are becoming an operational layer inside modern companies.We dive into:- How no-code AI agents take real actions inside workflows- Automating support, sales, and operations without engineers- Connecting AI agents to Stripe, Calendly, Zendesk, and APIs- Turning customer conversations into marketing and product insights- Choosing models like GPT-4 or Claude to control tone and behavior- Why AI agents are replacing manual, repetitive work- What real AI automation looks like in practiceIf you want a clear, grounded view of how no-code AI agents are being used today — and how to start building workflows yourself — this episode shows exactly how it works.Subscribe for deep conversations on AI, agents, and the future of intelligence.

In this episode of Superhuman AI, Tibo Maker shows how he uses SuperX to turn newsletters, blogs, notes, and links into high-performing X posts in minutes.You’ll see the exact workflow he uses to grow his audience and consistently drive newsletter signups, without rewriting content or starting from scratch. This is a practical, creator-first look at how AI can repurpose long-form content into posts that match your style and actually perform.Turn newsletters into viral X postsRepurpose blogs, notes, and links instantlyWrite in your own voice, not generic AI toneTease content to drive subscribersBuild a repeatable growth workflow with AI

In this episode of the Superhuman AI Podcast, we sit down with Tibo Maker to break down the new SEO game: ranking in an AI-first world where being mentioned by ChatGPT matters as much as ranking on Google. Tibo walks through Outrank, the AI SEO system built to help you find low-difficulty, high-volume keywords, publish content fast, and build the backlinks needed to actually compete.We dive into:- How ChatGPT decides what websites to recommend- Why ranking on Google still impacts whether AI mentions you- Finding low-competition keywords with high search volume- Creating content quickly without losing structure or relevance- The real role of backlinks in the AI SEO era- A backlink exchange marketplace and why relevance matters- What it costs to build authority manually vs doing it efficiently- The practical playbook to start ranking within weeksIf you’re a founder, builder, or operator trying to win distribution in the AI era, this episode is a clear, tactical guide to getting discovered by both Google and ChatGPT.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What if a single sentence could generate a full production-grade app—front end, backend, database, dashboards, payments, mobile, and even e-commerce? In this episode, Vishal Virani, CEO of Rocket, shows us how their “vibe coding” platform is redefining software creation. This is the most complete, end-to-end demo we’ve seen: from one-shot app generation, to fully native Flutter mobile apps, to PayPal-powered storefronts, to slash-command precision edits, to automatic API integrations using Postman.Check out Rocket here: https://www.rocket.new/?utm_source=youtube&utm_medium=superhuman&utm_campaign=podcasttutorialWe dive into:- How Rocket turns a single sentence into full production-grade apps- One-shot app generation and why prompts no longer need 40+ messages- Building real dashboards, internal tools, and enterprise apps automatically- Native mobile apps with Flutter generated in minutes- PayPal storefronts with inventory, payments, analytics, and dynamic product creation- Slash-command precision mode for reliable UI, API, and color/theme changes- Superbase authentication, email alerts, multilang, and dynamic asset generation- Automatic API integration with Postman—no hallucinations, no manual wiring- How Rocket thinks about “vibe coding” vs true production solutions- A preview of Rocket’s upcoming autonomous research engine: from idea → competitive analysis → what to build nextIf you want to see how AI is collapsing the entire software development stack—from concept to fully functional product—this is one of the most advanced demonstrations to date.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What if you could generate viral TikTok and Instagram content every single day—without filming, editing, or even opening the apps? In this episode of the Superhuman AI Podcast, we sit down with Tibo Maker, founder of Revid, to explore the AI engine that can turn any creator into a full-time content machine.Tibo walks through how Revid creates dozens or even hundreds of short-form videos automatically using your avatar, your voice, and trending content pulled from X. From scraping high-performing posts to building talking-head clips and auto-publishing them to TikTok, Reels, and YouTube Shorts—Revid handles the entire process end-to-end.We dive into:- How Revid creates viral short-form videos from a single idea or tweet- Generating dozens of videos automatically using your avatar or voice- Auto-publishing to TikTok, Instagram, and YouTube Shorts every day- Why this format consistently hits hundreds of thousands of views- How creators are scaling content output to “infinite” with AI- When manual editing still matters—and when to let AI take over- Why Tibo believes AI will redefine the entire creator workflowIf you’re a creator, founder, or operator looking to scale your social presence without burning out, this episode shows how AI can turn you into a content engine overnight.Subscribe for deep conversations on AI, agents, and the future of intelligence.

Today’s AI can write code, pass exams, and generate images, but it still doesn’t know how to learn. In this episode of the Superhuman AI Podcast, we sit down with Ashfaq Munshi, CEO of Pepperdata and former CTO of Yahoo, to unpack what he calls the real problem with AI: models don’t build world models, don’t learn from experience, and don’t improve the way a child does.Ashfaq walks through the missing pieces in today’s LLMs, why world models and true learning will define the next decade, and how deep infrastructure from chips to Kubernetes to GPUs to power grid underpins every “AI breakthrough” headline you see. He also breaks down how Pepperdata squeezes 20-30% more efficiency out of massive GPU and Kubernetes clusters for some of the world’s biggest companies.We dive into:- Why Ashfaq believes today’s AI models “don’t know how to learn”- World models, robotics, and what real learning would look like- The hidden infrastructure stack that makes modern AI possible- How Pepperdata optimizes GPUs and Kubernetes to save real money- Data centers, power, cooling, and the coming energy crunch- US vs China in AI: talent, chips, research, and long-term advantage- Career advice for builders who want to work on decade-long problemsIf you care about where AI goes after the current hype cycle down at the metal and up at the level of real intelligence this conversation with Ashfaq cuts straight to the core issues.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What if an AI could run your entire workflow—email, calendar, meetings, research, scheduling, follow-ups, even ordering food—without you lifting a finger? In this episode of the Superhuman AI Podcast, we sit down with Flo Crivello, CEO of Lindy, to explore the most capable AI assistant we’ve seen yet: an agent that actually does the work for you.Flo shows real agents operating autonomously: logging into websites, replying to emails, preparing meeting briefs, joining calls, taking notes, updating docs, and coordinating across apps—acting with judgment, memory, and initiative. This isn’t automation. It’s real, goal-driven intelligence.We dive into:- How Lindy agents plan, reason, and take action on real computers- Email + calendar agents that handle your entire schedule end-to-end- Research agents that prep meeting dossiers automatically each morning- Live browser-control agents completing complex tasks without instructions- How AI agents collaborate with each other across your workflow- Why most customer support should be fully automated in 2025- The future of human work when AI handles the admin burdenIf you’re a founder, operator, or builder searching for the real future of AI agents, this episode shows what’s possible today—and what’s coming next.Subscribe for deep conversations on AI, agents, and the future of intelligence.

Big data and AI are now in an arms race—and the databases behind them are becoming some of the most important infrastructure on the planet.In this episode of the Superhuman AI Podcast, we sit down with **Aaron Katz**, CEO and co-founder of **ClickHouse**, to unpack how a high-performance open-source database became core to AI-native companies like OpenAI, Anthropic, Tesla, LangChain, and more. From a billion events per second to millisecond queries, Aaron explains what it actually takes to power AI-scale analytics in the real world.We dive into:- How ClickHouse became core infrastructure for OpenAI, Anthropic, Tesla and other AI leaders- Why big data and AI are now in an arms race- What “a billion events per second” really means in practice- Why databases matter more, not less, in an AI and AGI world- How ClickHouse thinks about open source, cloud, and its competitive moat- The shift from BI dashboards to AI agents querying live company data- Lessons from Salesforce, Elastic, and building ClickHouse into a data rocket shipIf you care about the future of AI infrastructure, observability, or analytics at serious scale, this conversation with Aaron cuts through the noise.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What if anyone could build an app in minutes—no code, no setup, just an idea and AI? In this episode of the Superhuman AI Podcast, we sit down with Nick Charriere, founder of Mocha, to explore how AI is changing the way software is created. From text prompts to fully functional web apps, Mocha makes app building as simple as describing what you want.We dive into:- How Mocha builds real, full-stack apps from text prompts- Why AI is removing the need for technical skills in app creation- The rise of “personal software” for creators, classrooms, and small teams- What makes Mocha different from no-code or agent builders- How vertical integration enables instant deployment and collaboration- The future of AI-powered creation and the new wave of app makersThis episode is a look into the next frontier of AI and creativity—where building software becomes as natural as having an idea.Subscribe for deep conversations on AI, agents, and the future of intelligence.

Can AI become your next data engineer? In this episode of the Superhuman AI Podcast, we sit down with  Tim and Chris from fiveonefour to explore why the future of data is AI. From AI-generated pipelines to agentic workflows inside the developer’s IDE, we break down how an AI-native data stack turns context into working products—faster than traditional ETL and dashboards.We dive into:- Why “AI is your data engineer” is finally real- Dev-first workflows: prompting pipelines, tests, and monitors from your IDE- Unifying local + enterprise context for production data apps- Moving from brittle ETL to adaptive, agentic pipelines- Observability, governance, and security in AI-built data systems- Real-time analytics and retrieval over changing schemas- How AI shrinks time-to-value for data productsIf you’re a data engineer, founder, or builder, this episode is a practical playbook for shipping AI-first data products—without the manual overhead.Subscribe for deep conversations on AI, agents, and the future of intelligence.

You can now build and publish real apps — straight from your iPhone. No laptop. No code. Just AI.In this episode of Superhuman AI, we test the future of app creation — using only a phone, Claude, and a few simple gestures. From design to deployment, see how entire products can now be built on-device in minutes.- Build apps directly from your iPhone  - AI generates UI, logic, and code  - Add voice, haptics, and design assets  - Test and debug — all on mobile  - Ship straight to TestFlight or the App Store  The future of app building is here.

Claude is becoming a household name—right alongside ChatGPT. But what does that actually mean for how we work?In this episode of the Superhuman AI Podcast, we sit down with **Mike Krieger**, **Chief Product Officer at Anthropic** (and co-founder of Instagram), to go inside **Claude’s product strategy**—from chat to true **AI coworkers**. We talk real enterprise adoption, design and UX for agentic systems, and why this wave is moving **faster than the mobile era**.This video is sponsored by Vanta.Startups move fast—and with AI, even faster. But the right security can make or break a deal. Vanta’s AI and automation get you enterprise-ready in days and continuously monitor compliance so future deals are never blocked.Get $1,000 off: https://vanta.com/superhumanWe dive into:- Claude vs ChatGPT: where Claude really shines- From chatbot to teammate: agents, memory, and long-running workflows- Designing AI products people actually trust and use- The enterprise shift from AI FOMO to measurable ROI- Safety, transparency, and responsible scaling at Anthropic- How AI is changing creativity, collaboration, and product teamsIf you’re a builder, operator, or founder, this is a practical look at how Claude is reshaping work—today.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What is Google DeepMind’s Nano Banana, and why is everyone talking about it? In this episode of the Superhuman AI Podcast, we sit down with **Naina Raisinghani** and **Philipp Lippe** from Google DeepMind to break down one of the most important breakthroughs in multimodal AI. From character consistency to real-world applications, Nano Banana is setting a new bar for what’s possible in image-based AI.This video is sponsored by Vanta.Startups move fast—and with AI, even faster. But the right security can make or break a deal. Vanta’s AI and automation get you enterprise-ready in days and continuously monitor compliance so future deals are never blocked.Get $1,000 off: https://vanta.com/superhuman We dive into:- Why Nano Banana is such a breakthrough in AI- How character consistency unlocks new creative use cases- The speed improvements that make AI generation usable in products- Real-world examples of image reasoning and editing- What Nano Banana means for developers and creators- How DeepMind is bringing research into real applicationsThis episode is a behind-the-scenes look at how Google DeepMind is shaping the future of multimodal AI. Whether you’re a researcher, builder, or creator, this is a conversation you won’t want to miss.Subscribe for deep conversations on AI, agents, and the future of intelligence.

AI is entering its maximum threat moment—and enterprise software will never be the same.In this episode of the Superhuman AI Podcast, we sit down with Sridhar Ramaswamy, CEO of Snowflake, to explore how AI is disrupting traditional workflows and reshaping the future of business. From customer support to enterprise automation, Sridhar explains why many of today’s leading software companies could disappear—and how Snowflake is building for the new AI era.This video is sponsored by Vanta.Startups move fast—and with AI, even faster. But the right security can make or break a deal. Vanta’s AI and automation get you enterprise-ready in days and continuously monitor compliance so future deals are never blocked.Get $1,000 off: https://vanta.com/superhumanWe dive into:- Why AI is the maximum threat to traditional software- How Snowflake is positioning itself at the center of enterprise AI- Products like Cortex Search and Snowflake Intelligence powering the shift- Real-world customer stories from Honeywell, BlackRock, and S&P Global- How AI changes the economics of enterprise software- Sridhar’s leadership lessons from Google, Niara, and SnowflakeThis episode is a candid look at how AI is reshaping the foundations of business software. Whether you’re a founder, builder, or leader navigating disruption, Sridhar’s insights show how to survive—and thrive—in the age of maximum AI threat.Subscribe for deep conversations on AI, agents, and the future of intelligence.

Is AI all hype—or is it truly transforming the future of work? In this episode of the Superhuman AI Podcast, we sit down with Oji Udezue (Chief Product Officer at Typeform) and Ezinne Udezue (Chief Product Officer at 54gene) to explore how AI is reshaping jobs, skills, and competitive advantage. From navigating the hype cycle to understanding where human judgment still matters, they reveal what it takes to build enduring products and careers in the AI era.This video is sponsored by Vanta.Startups move fast—and with AI, even faster. But the right security can make or break a deal. Vanta’s AI and automation get you enterprise-ready in days and continuously monitor compliance so future deals are never blocked.Get $1,000 off: https://vanta.com/superhumanWe dive into:- Why AI is changing jobs, but not eliminating them- How to separate hype from enduring technological shifts- Why code is no longer the bottleneck for building products- The importance of judgment, taste, and authenticity in the AI age- How to think about moats and differentiation when everyone has access to AI- The new principles for product leadership and workforce transformationThis episode offers a candid perspective from two seasoned product leaders on how to navigate the AI revolution without falling for the hype. Whether you’re a founder, product manager, or professional adapting to change, Oji and Ezinne’s insights provide a roadmap for thriving in the AI-driven future of work.Subscribe for deep conversations on AI, agents, and the future of intelligence.

How is LinkedIn transforming professional networks with AI and what does it mean for your career? In this episode of the Superhuman AI Podcast, we sit down with Tomer Cohen, Chief Product Officer at LinkedIn, to explore how the platform is leveraging AI to reshape the future of work. From semantic job search to AI-powered content creation, Tomer reveals LinkedIn's strategy for helping professionals navigate a world where 70% of job skills will change by 2030. We dive into the intersection of AI product management, workforce transformation, and building authentic professional communities at scale.This video is sponsored by Vanta.Startups move fast—and with AI, even faster. But the right security can make or break a deal. Vanta’s AI and automation get you enterprise-ready in days and continuously monitor compliance so future deals are never blocked.Get $1,000 off: https://vanta.com/superhuman We dive into:- Why 70% of job skills will be obsolete by 2030 and how to prepare- LinkedIn's breakthrough AI features like semantic job search and profile writing assistance- The three key principles for building successful AI products- LinkedIn's "full stack builder" approach to faster product development- How AI is changing content creation while maintaining authenticity- The future of professional networks and economic opportunity- Product strategy lessons from scaling LinkedIn's mobile transformationThis episode offers insider insights from one of tech's most influential product leaders on how AI is reshaping professional life. Whether you're a product manager, creator, or professional navigating career changes, Tomer's perspective on LinkedIn's AI evolution provides a roadmap for thriving in the new economy.Subscribe for deep conversations on AI, agents, and the future of intelligence.

What’s really happening inside Google Gemini? In this episode of the Superhuman AI Podcast, we sit down with Tulsee Doshi and Madhavi Bhat, two of the leaders behind Google’s flagship AI project, to explore how Gemini is shaping the future of intelligence.From building multimodal AI systems to tackling bias, safety, and real-world applications, they share how Google is reimagining what AI can do—and what it means for billions of users.We dive into:Why Gemini represents a step-change in AI capabilitiesHow responsible AI principles are built into developmentThe challenges of scaling multimodal systems (text, vision, and beyond)What makes Google’s approach to AI unique compared to other frontier labsWhere the future of search, productivity, and creation is headedThis episode is more than just theory—it’s an insider’s look at how one of the world’s biggest tech companies is thinking about the next generation of AI.Subscribe for deep conversations on AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

How is OpenAI building the platform that could power the next decade of AI innovation? In this episode of the Superhuman AI Podcast, we sit down with Olivier Godement, Head of Product Platform at OpenAI, to explore the strategy, product philosophy, and infrastructure behind the world’s most influential AI company.From scaling to millions of developers to enabling the next wave of AI applications, Olivier shares how OpenAI is evolving from building models to building the platform others will use to create the future. We dive into:- Why the platform layer is now OpenAI’s biggest focus- How they’re empowering developers to build on top of GPT models- Lessons from scaling products to millions of users- What’s next for AI agents and applications- How OpenAI balances innovation speed with reliability- The long-term vision for AI as a platformWhether you’re a founder, developer, or AI enthusiast, this episode offers an inside look at how the platform era of AI is being built—right now.Subscribe for more deep conversations at the edge of AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

Is AI voice finally having its breakout moment?In this episode of the Superhuman AI Podcast, we sit down with Lily Clifford, CEO of Rime Labs, to explore the rise of emotionally rich, expressive AI voices—and how this could reshape music, creativity, and human communication.From early experiments to building full-stack voice models, Lily shares what it takes to create voice tech that sounds—and feels—truly human. We explore:- Why AI voice is finally catching up to human nuance- How creators are using voice models to scale their presence- The difference between utility voices and emotional voices- What it takes to rebuild voice as a creative medium- Where the future of music, identity, and AI voice is headingThis isn’t just about better text-to-speech. It’s about voice as a new creative layer—where AI becomes an instrument for human expression.Subscribe for deep conversations on AI, creativity, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

Is Google Search evolving or dying? In this episode of the Superhuman AI Podcast, we sit down with Rob Stein, who leads Google's AI Search team, to explore how AI is fundamentally transforming search—and what billions of users can expect next.From Instagram to Google's most critical product, Rob shares the inside story of rebuilding search for the AI era. We explore:- Why 1.5 billion users are already using AI Overviews- How multimodal search (camera, voice, screenshots) is exploding with 65% year-over-year growth- The future of conversational search and AI Mode- Why Google's 25 years of web knowledge gives them an AI advantage- Product principles for building transformative experiences people actually use- How AI is changing the entire product development processThis isn't just about search—it's about how AI is reshaping how billions of people access information every day. From asking complex multi-sentence questions to having live conversations with Google, the future of search is already here.Subscribe for deep conversations on AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here: https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

What if you could build and launch profitable apps—without a team, without funding, and powered by AI? That’s exactly what’s happening on Replit. In this episode of the Superhuman AI Podcast, we talk with Replit CEO Amjad Masad about the rise of solo developers, the future of AI-native software, and why this is just the beginning of the AI app economy.We explore:- The $400 app that made $32,000- Why the future of building is solo + AI- Replit’s vision for AI-powered creation- How developers are monetizing faster than ever- Why this is a once-in-a-generation platform shiftWhether you're a founder, builder, or curious observer—this episode is your blueprint to the next era of creation.Subscribe for deep conversations on AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

Is search dead? In this episode of the Superhuman AI Podcast, we sit down with Aravind Srinivas, CEO of Perplexity AI, to explore why traditional search is broken—and how AI-native answers are changing everything. From competing with Google to scaling in a multi-agent world, this is a raw look at the future of information access.We explore:- Why AI-native search beats Google- The real mission behind Perplexity- How Aravind thinks about product-market fit for AI- What the next generation of search looks like- If you care about AI, knowledge, and building disruptive tools—this episode is for you.Subscribe for deep conversations on AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

AI is evolving faster than anyone expected and we may already be seeing the early signs of superintelligence.In this episode of the Superhuman AI Podcast, we sit down with Michael Gerstenhaber, Head of Product at Anthropic (makers of Claude AI), to explore:How AI models have transformed in just one yearWhy coding is the ultimate benchmark for AI progressHow Claude is learning to code through agentic loopsWhat "post-language model" intelligence might look likeWhether superintelligence is already here — and we’ve just missed itFrom autonomous coding to the rise of AI agents, this episode offers a glimpse into the next phase of artificial intelligence and how it could change everything.Subscribe for deep conversations on AI, agents, and the future of intelligence.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-

What if AI agents could help anyone — even non-coders — build powerful apps and automate entire workflows?In this episode of the Superhuman AI Podcast, we sit down with Howie Liu, CEO and co-founder of Airtable, to explore how the company is evolving from a spreadsheet-style tool into an AI-native app platform. Howie shares his vision for a future where AI agents help teams build, run, and scale software — without relying on traditional engineering resources.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-We cover:How AI agents are reshaping software developmentWhy Airtable is doubling down on AI-native workflowsHow non-technical teams can build production-ready appsThe new skillset for working alongside AIWhat the next decade of software building could look likeIf you're a builder, operator, or founder — this episode is a glimpse into the AI-powered tools of the future.Subscribe for more conversations with the people shaping the future of AI, software, and work.

What if you could build dozens of businesses without writing a line of code, hiring a large team, or even opening your inbox?In this episode of the Superhuman AI Podcast, we sit down with Andrew Wilkinson — co-founder of Tiny.com — to break down how he’s used AI, automation, and systems thinking to build and operate over 40 companies. From barista to billionaire, this is a blueprint for founders who want to scale without burnout.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-We cover:How Andrew went from designer to empire-builderWhy AI and automation are core to his playbookHow he replaced traditional hiring with scalable systemsThe tools he uses to operate lean, profitable companiesWhy focus and delegation beat hustle and scaleIf you're a builder, founder, or operator — this episode is packed with practical lessons for the AI-powered business era.Subscribe for more deep dives into AI, innovation, and the people shaping the future of work.

We’re entering a new economic era, one driven not by human labor, but by AI. According to Salesforce CEO Marc Benioff, this shift isn’t just coming, it’s already here.In this episode of the Superhuman AI Podcast, Marc shares his vision of the emerging AI economy, how digital labor and AI agents are transforming business, and why this might be the most significant technological shift since the internet. This conversation explores how companies, creators, and individuals can adapt to and thrive in this new reality.Learn more about the Google for Startups Cloud Program here:https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-We dive into:Why Marc sees AI as a new economic foundationThe rise of digital labor and what it means for companiesHow Salesforce is integrating AI at every levelWhy this shift will impact every business and every jobWhat the next 10 years of AI-driven transformation could look likeIf you're a founder, executive, operator, or builder this is the playbook for the AI-powered future.Subscribe for more deep conversations on AI, transformation, and what's next.

What if you could build a real app in just a few hours — no coding, no tech background, just an idea and AI? That’s exactly what Sandra Djajic did.In this episode of the Superhuman AI Podcast, we sit down with Sandra to hear how she’s using AI to build apps from scratch without writing a single line of code. From idea to execution, this is the new way to create — fast, accessible, and powered entirely by AI.Learn more about the Google for Startups Cloud Program here. https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-We dive into:- How Sandra built her first app in a few hours- The tools and workflows she uses (no coding required)- Why AI is breaking down the barrier to building- What it’s like to build apps as a non-technical creator- Why this shift is bigger than no-codeWhether you're a founder, creative, or complete beginner — this episode shows that building with AI is here, and it’s for everyone.Subscribe for more conversations at the edge of AI, creation, and innovation.

What separates the average AI startup from the next $100M company?In this episode, legendary VC Jeff Bussgang (Flybridge Capital, HBS) breaks down what it really takes to win in the AI era, from strategic thinking and distribution to why non-technical founders are finally getting their edge.Learn more about the Google for Startups Cloud Program here - We explore:- Why AI building is now a commodity- How founders can use AI to become 10x operators- What VCs are actually looking for in today’s AI market- The “pilot ghetto” and why most AI startups won’t scale- The rise of solo founders and small teams with massive leverage- Whether you're building in AI, investing in it, or just trying to keep up, this conversation is packed with clarity, nuance, and next-gen founder wisdom.

AI app building is here and it's in the browser, no code needed. In this episode we talk with Bolt founder Eric Simons.In this episode of the Superhuman AI Podcast, we explore how Bolt (bolt.new) is giving non-technical users the power to create real apps, no setup, no code, just a browser and your ideas.Learn more about the Google for Startups Cloud Program here. https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-We dive into:- Why AI is shifting the balance of power in tech- How Bolt reached $20M ARR in just 8 weeks- The difference between AI-enhanced coding and true AI development- How app creation is becoming accessible to billions- What this means for developers, designers, and founders alike- This isn’t just no-code-it’s AI-native building, and it could change everything.

AI agents are no longer science fiction, they're already changing how we work, build companies, and create value. But just how big is this shift? According to Box CEO Aaron Levie, AI agents represent a $1 trillion opportunity that will completely redefine how businesses operate.Learn more about the Google for Startups Cloud Program here. https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-In this episode of the Superhuman AI Podcast, we dive into:How AI agents are changing the economics of softwareWhy enterprises are adopting AI faster than they did cloud computingWhere the biggest AI startup opportunities lieWhat the future of AI-powered work looks likeAnd how AI is lowering the floor and raising the ceiling for human talentSubscribe for deep, thoughtful conversations with the people building the future of AI.🔗 Chapters:0:00 - Intro1:19 - What Makes the AI Wave So Different2:51 - AI Is Moving 10x Faster Than Cloud4:00 - The Flood of New AI Models5:03 - The Future Cost of Intelligence6:35 - How AI Agents Are Reshaping Work7:46 - The $1 Trillion Agent Opportunity9:19 - How AI Lowers Cost and Unlocks New Markets11:00 - Why Business Models for Software Are Changing12:19 - Box’s AI Strategy and Use Cases14:12 - The Coming Era of AI Agents15:39 - How Every Company Can Go AI-First16:48 - What Work Looks Like in an Agent-Driven Future19:31 - 10-Person Companies Doing $100M+ in Revenue?20:12 - AI’s Impact on Junior Employees21:46 - AI as a Tool for Acceleration22:48 - Why the Floor Drops and the Ceiling Rises23:36 - The Changing Nature of the Internet25:05 - Paywalls, Secrets, and Human-Created Content26:06 - Aaron’s AI Predictions for the Next 6–12 Months

AI is evolving at a breakneck pace—every few weeks, a new model claims to be the best. But are these tools really game-changers, or is human judgment still the most valuable asset? Learn more about the Google for Startups Cloud Program here. https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=et&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=superhuman_dec&utm_term=-In this episode, we sit down with Logan Kilpatrick Senior Product Manager at Google DeepMind to discuss:- How developers are navigating the flood of new AI tools- The real challenges behind choosing the "best" AI model- Why human decision-making is still essential in an AI-driven world- What’s next for AI and how humans fit into the equation- This is the future of AI—and why there's never been a better time to be human.Subscribe for more deep conversations on AI, technology, and innovation.Chapters:1:05 - Logan Kilpatrick’s Unique AI Journey1:42 - Inside OpenAI vs Google DeepMind3:31 - Gemini 2.0: What Developers Need to Know5:21 - The Rise of Multimodal AI Tools7:03 - How AI is Changing Developer Workflows9:28 - The Future of AI Agents & Automation12:06 - The Cost & Performance Trade-Off in AI14:02 - AI as an Always-On Coach?18:06 - How AI Models Process Memory & Context22:17 - Are AI Benchmarks Overhyped?27:21 - What Will the Internet Look Like in 5 Years?30:39 - Why There’s Never Been a Better Time to Build

Learn more about the Google for Startups Cloud Program here. In this episode of Superhuman AI: Decoding the Future, Zain and Hassan break down practical productivity strategies that don’t rely on the hustle-culture myth of working 80-hour weeks. They challenge the idea that endless grind equals success, instead advocating for smarter, more sustainable work habits. Hassan shares how sacrificing work-life balance early in his career accelerated his learning curve, while Zain critiques false productivity narratives and explains his approach to managing high-energy tasks and draining meetings.The conversation explores key productivity techniques, including structured scheduling, batching similar tasks, and blocking time to avoid context switching. And our hosts stress the importance of health in maintaining peak performance, emphasizing sleep, diet, and exercise as crucial productivity boosters. Beyond work, Zain and Hassan discuss balancing productivity with family life, sharing personal experiences of managing careers alongside marriage and parenting. They stress that prioritizing relationships is essential for long-term success, helping avoid burnout and maintaining overall well-being. What we talk about:(1:01) –  The 80-hour work-week myth(4:19) – What does real productivity look like?(7:30) – Rest is key(8:40) – Recognise your energy boosts and energy drains(12:00) – Plan ahead to avoid context-switching(14:27) – Use checklists to appreciate your achievements(16:21) – Get comfortable with delegation(20:12) – Think tactically about work-life balance(21:45) – Maintaining productivity and meeting family obligations(29:48) – Recapping the Superhuman Productivity Tips

Learn more about the Google for Startups Cloud Program here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan discuss the art of creating and growing successful side hustles. They explore how small projects can evolve into larger opportunities by solving problems for individuals that often apply to many, a key principle for scaling any business. With real-world examples from their own journeys, they provide actionable insights for turning side hustles into significant income streams.They highlight the iterative nature of side hustles and explain why failure is both common and incredibly important. Zain and Hassan stress the importance of mindset—embracing setbacks as part of the process and staying persistent. They also outline the fundamental skills for side hustle success, focusing on product-building and distribution. Drawing from their experiences, Zain and Hassan share practical advice for starting side hustles with minimal capital, such as testing ideas with simple landing pages and small ad spends. Zain recounts building a consulting business and later an agency through his social media audience, while Hassan shares how continuous effort turned a side hustle into a venture-funded company. Packed with strategies to generate up to $10,000 monthly, this episode is a must-listen for anyone looking to transform a side project into a thriving business.What we talk about:(1:47) – The mindset of starting a side hustle.(2:33) – Build something people want.(4:56) – Understanding products.(8:15) – How to approach distribution.(14:59) – You don’t need a product to start testing your ideas.(18:51) – Be obsessed with your customer, not the product.(20:00) – Experiment with freelancing to test the market and your appetite.(22:09) – How Hassan started his side hustle.(23:51) – How Zain started his side hustle while in a full-time job.(28:17) – Successful businesses aren’t built overnight. Embrace iteration.

Learn more about the Google for Startups Cloud Program here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan dive into career-building strategies, focusing on how to develop your "unfair advantage." They share personal insights and actionable advice for prioritizing learning and growth over immediate salary and title, emphasizing the importance of seeking roles that accelerate career progression through high-growth opportunities.They explore the concept of an "unfair advantage," defined as a unique blend of skills or expertise that sets you apart and creates lasting value. Hassan highlights the benefits of taking risks early in your career, sharing how bold decisions lead to exponential learning and long-term rewards. They also touch on the importance of promoting your work internally to ensure recognition and advancement.And Zain rounds out the discussion by stressing the critical role of effective communication in career success, particularly through writing. Plus, he shares practical tips for improving communication, encouraging simplicity, clarity, and impact.What we talk about:(1:29) – What is an unfair advantage?(4:11) – How can you build your unfair advantage?(6:02) – How to think about risk.(8:06) – Optimize for learning.(13:23) – Choose job opportunities that maximize your learning opportunities.(14:17) – How to find jobs where you'll learn the most.(16:24) – Build complimentary skillsets.(17:48) – Avoid becoming a generalist.(21:02) – The importance of advocating for yourself.(24:08) – How to promote yourself in the workplace.(25:10) – Key skills everyone should have.(32:28) – How to be a better communicator.

Learn more about the Google for Startups Cloud Program here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan share 10 impactful career lessons from their personal journeys, offering actionable advice for listeners looking to shape their professional paths. From embracing risks early on to cultivating patience and persistence, this episode is packed with insights and practical strategies. Hassan discusses the importance of taking calculated risks early in your career, explaining how bold moves can set the stage for greater long-term rewards. Zain shares how confidence is built through action and overcoming challenges, reflecting on his own journey of tackling daunting tasks despite initial self-doubt. Together, they stress the value of seeking out failures as learning opportunities, reminding listeners that resilience and reflection are key to finding success.They also explore the significance of networking, with Hassan sharing how reconnecting with Zain led to exciting business ventures, and they encourage listeners to build relationships and increase their "luck surface area," opening doors to unexpected opportunities.What we talk about:(1:24) – Risk scales better than effort.(3:40) – Confidence is not a precondition for doing hard things – it’s the reward.(6:55) – Don’t focus on work/life balance early in your career.(9:49) – You need soft skills if you want to be successful.(12:00) – Be thoughtful about your decisions when you have limited information.(13:12) – Fail more.(18:30) – Expand your network to increase your luck.(21:30) – Create content to find opportunities.(23:12) – Success requires patience and proactivity.(27:04) – Work on the things you love.

Learn more about the Google for Startups Cloud Program here. In this episode of Superhuman AI: Decoding the Future, Zain and Hassan delve into the critical role of content curation in shaping personal and professional growth, focusing on the distinction between "active content" and "passive content." Zain and Hassan discuss the concept of active content (educational podcasts, courses, and entrepreneurial insights) that equips listeners with practical skills and measurable improvements in areas like health, career, and well-being. They contrast this with passive content, which is often created for entertainment, capturing attention without delivering meaningful value, and highlight the importance of being intentional with content consumption. Our hosts discuss the importance of aligning content consumption with personal goals and focusing on learning "technical truths" over "social truths." And Zain and Hassan also stress the importance of seeking credible content from experienced sources with aligned incentives, ensuring any insights gained are actionable and relevant. They explore the benefits of becoming a content creator and contributing to the knowledge pool. Drawing from personal experiences, they share how producing valuable content enhances learning, builds credibility, and creates opportunities to influence others positively. Plus, they offer a thoughtful guide to curating content for a more intentional and fulfilling personal and professional life.What we talk about:(0:36) – Why you should be intentional with your content consumption.(2:17) – The difference between active and passive content.(8:30) – How active content changed Zain’s life.(11:40) Hassan’s top content for building and scaling businesses.(13:44) – What are technical truths and social truths?(14:50) – Why you need to be aware of media companies’ credibility and incentive structures.(16:08) – How to curate your list of credible content.(19:36) – The power of content.(23:04) – Zain’s top content picks.

Learn more about the Google for Startups Cloud Program here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan explore practical strategies for increasing your income through the use of leverage. They introduce five key types of leverage—knowledge, labor, capital, technology, and media/distribution—offering a roadmap for turning skills into higher earnings. They share their personal experiences to illustrate these principles: Hassan recounts his journey from working at a startup to joining a founding team, and Zain discusses how he leveraged knowledge and labor to launch his own successful social media consultancy and create the Superhuman AI newsletter. Through consistency and hard work, they demonstrate how small, incremental efforts compound into meaningful career and income growth over time.Zain and Hassan also underscore the value of building a public presence and network to unlock higher opportunities and income potential. They caution that this approach is not a get-rich-quick scheme but a systematic and sustainable strategy for achieving long-term financial success.Packed with actionable insights to enthuse the budding entrepreneurs of 2025, this episode offers a practical guide to using leverage and continuous learning to create meaningful career and income growth.What we talk about:(0:48) - The challenge – how to achieve $8,000 per month of income.(1:59) – What is leverage and why do you need it?(3:45) – The importance of compounding.(5:21) – Building leverage from zero.(7:21) – Permission and permissionless leverage.(8:33) – How Hassan built his leverage.(10:46) – The most accessible form of leverage is knowledge.(11:52) – Zain’s system for supercharging your knowledge.(13:45) – Building Leverage within a job.(15:13) – How to choose the right jobs after graduating.(16:25) – Do you want to build or sell?(20:11) – Forget your job title and focus on your experience.(23:54) – Why should you share your knowledge and build an audience?(29:29) – Utilising your leverage to 3x your income.(33:08) – How Zain used this process to generate $100k+ per month.(38:12) – Consistency is key.

Learn more about the Google for Startups Cloud Program here.In this episode of Superhuman AI: Decoding the Future, Zain is joined by Tibo Louis-Lucas, creator of Tweet Hunter and the AI-powered LinkedIn post generator, Taplio, to explore the essentials of starting a business with simplicity and efficiency.Tibo discusses the power of a lean, focused team in the early stages of a business, with a focus on the “distributor” (who brings the products to market efficiently) and the “builder” (who creates and maintains the product itself). The pair explain how this minimalist approach allows for clear responsibilities and operational clarity, and how it enables individuals to concentrate on their tasks without being overwhelmed.Tibo also shares his insights on the broader principle of lean teams, and how small teams can remain agile and focused on delivering results. Plus, Zain and Tibo share some valuable lessons for aspiring entrepreneurs, emphasizing the power of simplicity, the importance of strategic resource allocation, and the role of clarity in building strong foundations for any business.What we talk about:1:27 – How Tibo sold Taplio3:23 – Tibo’s early days in building startups5:13 – How did Tibo gain traction with Tweet Hunter?8:18 – Separating good ideas from profitable solutions13:31 – The journey from Tweet Hunter to Taplio17:59 – Why builders should partner with content creators20:54 – The acquisition of Taplio27:57 – Getting banned from LinkedIn30:14 – Taplio after the acquisition33:41 – Why no one should be ignoring SEO34:25 – Why did Tibo leave Taplio?35:15 – Tibo’s latest project

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan share practical strategies for finding business opportunities in AI. They argue that building on foundational technologies like Chat GPT or Claude can be highly lucrative, citing successful examples like Perplexity, backed by Jeff Bezos.They explore four key approaches. The Operational Expenditures Attack reduces operational costs through AI automation, as seen with platforms like Harvey AI, while Feature Arbitrage leverages new AI features to quickly build niche products, exemplified by Plug AI and Jenny AI. The Personal Problem Goldmine emphasizes solving your own challenges for impactful ideas, and the Money Trail Method focuses on industries with heavy funding, like Semantic Health, addressing hospital revenue inefficiencies.Finally, they discuss the X for Y Formula, which adapts successful models like ChatGPT to new domains, and we learn why curiosity and observation are essential traits for spotting opportunities in the AI space.What we talk about:1:12 – How to find product ideas3:03 – All about Operational Expenditures10:37 – Using Feature Arbitrage for new product ideas13:35 – Why being a GPT wrapper isn’t a bad thing16:04 – The Personal Problem Goldmine25:19 – Finding ideas with the Money Trail Method30:33 – The ‘X for Y’ formula

Learn more about AssemblyAI here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan sit down with Elias Torres, co-founder and CEO of Agency, to learn about his remarkable career and vision for AI’s transformative role in customer success.Elias discusses the motivations behind his entrepreneurial endeavors (founding Performable and co-founding Drift) and the challenges he faced while building innovative companies. He explains why recruiting top talent, fostering strong company culture, and maintaining a customer-centric approach are so important when it comes to scaling, and he explores the potential of AI and large language models (LLMs) in revolutionizing customer success. Plus, Elias offers his insights on private equity and M&A and gives us his practical advice for founders, stressing the value of transparency, decisiveness, and direct customer interaction. We’ll also hear about Elias’ podcast The American Dream and he shares his aspirations for Agency to redefine customer engagement with small, agile teams. What we talk about:2:24 – Why is Elias creating another company?3:52 – What was Elias’ dream before becoming an entrepreneur?5:30 – What were some of the key moments on Elias’ journey to becoming an entrepreneur?8:05 – What is it about “The Valley” that lends itself to startup success?8:48 – What was it that drove Elias to keep pushing after selling Performable?10:16 – What are the top three lessons learned from HubSpot?12:01 – What makes software suck?12:56 – What makes a company special?15:27 – Lessons learned from M&A.19:10 – How hard is it to build a big company?21:53 – What problems does Agency aim to solve?24:14 – How does the AI wave differ from the other technology waves from the last 20 years?26:44 – Where would Elias be today if Drift had failed?30:51 – What does Agency mean for businesses?See more from Elias here:American Dream on YouTubeAmerican Dream on AppleAmerican Dream on Spotify

Learn more about AssemblyAI here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan sit down with Mike Murchison, co-founder and CEO of Ada, an AI-powered customer service platform. Mike takes us through the journey of Ada’s creation, detailing its early roots and the experiences that shaped its mission to revolutionize customer service through AI. He discusses the transformative impact of AI on customer service roles and how it’s reshaping the industry.Drawing from his firsthand experience as a contact center representative, Mike explains how Ada’s development was deeply informed by the challenges he faced in the field. Plus, he explains how this hands-on insight helped Ada secure its first clients, who quickly became advocates for the platform.Mike also shares key moments in Ada's development, including a strategic pivot to focus solely on customer service and the re-architecture of their platform around language models. He highlights the rapid advancements in AI, particularly in language and voice technology, and underscores the importance of staying agile and continuously learning to remain at the cutting edge of AI applications in customer service.What we talk about:1:24 – What is Ada?4:01 – What does AI mean for the future of customer service?6:53 – How did Mike build Ada and find his audience?9:50 – What does Ada get right when it comes to customer service?11:20 – What were some of the make-or-break points for Ada?17:41 – Is Ada going to utilize voice models?19:53 – What gives Ada its unfair advantage over the competition?22:55 – What are Mike’s thoughts on Perplexity AI?24:47 – How else is Mike using Ada in the office?26:35 – How is the Ada team tackling AI hallucinations?28:20 – What is the market like right now for AI entrepreneurs?32:14 – Which industries will become the first to bring in wider adoption of AI tools?34:04 – What should first-time founders be thinking about?

Learn More about AssemblyAI here.In this episode of Superhuman AI: Decoding the Future, Zain and Hassan speak with Luke Kim, co-founder and CEO of Liner, to explore the journey of building a successful AI search tool. Luke recounts Liner’s beginnings as a simple highlighter extension and its evolution into a specialized AI-powered search tool. Plus, Luke gives us a look into the strategic choices behind developing an AI-driven academic tool and the lessons learned along the way.We hear about the company’s relocation to Silicon Valley and how the team fuelled Liner’s early growth. And Luke shares his experience of angel investments and a Series A round led by Korean venture capitalists, drawn to Liner’s strong international user base. We also learn about Liner’s technical and competitive strategies, focusing on providing verified, reliable sources perfect for higher education users and setting it apart in a crowded AI space. Luke also shares his insights on utilizing a blend of large language models—such as Lama, GPT, and Claude—to ensures both cost efficiency and superior search capabilities. What we talk about:What we talk about:(1:14) - Who is Luke and what is Liner?(4:15) - How did Liner secure its first (of 10 million) customers?(6:37) - How did the move to Silicon Valley improve Liner?(7:30) - How did Luke develop his network when he arrived in Silicon Valley?(8:22) - How was Liner funded in the early days?(11:56) - What did the journey from 1,000 to 10 million users look like?(15:05) - How is Liner utilizing different LLMs?(17:40) - How does Liner fact-check in order to deliver reliable results?(20:23) - How does Liner rank results for its users?(21:43) - What is the 10-year vision for Liner?(24:58) - What advice does Luke have for entrepreneurs starting out in the AI space?(27:01) - What are investors looking for in applied companies?(29:16) - What is Luke most excited about in the AI space in the next 12 months?

To find out more about today’s sponsor, Assembly AI, follow the link: https://www.assemblyai.com/?utm_source=superhuman&utm_medium=podcast&utm_campaign=linkIn this episode of Superhuman AI: Decoding the Future, Zain and Hassan are joined by Steve Woods, Partner and CTO of iNovia Capital. Steve shares his unique path from academia to founding startups and scaling Google Canada from a small team of 10 to 2,000 employees. Steve reflects on his early work with Quack.com in the late 90s, and shares the importance of adding a human touch to technology.Steve also discusses his years at Google, where he focused on nurturing internal talent over external hires, fostering a team-oriented culture and identifying key drivers within the organization, which he believes was essential for scalable growth and innovation, underscoring the value of team investment in building strong company foundations.We also learn about Steve’s venture capital work and his investments in foundational AI models like Cohere and applications like Spellbook. Plus, Steve offers his advice to founders, encouraging openness, adaptability, and focus on team dynamics. What we talk about:(1:28) – What’s it like working with Nobel Prize winner, Geoff Hinton?(3:20) – What made Steve swap academia for entrepreneurship?(5:22) – How did Steve develop the idea for Quack.com?(9:12) – What have been some similarities between the dot com, cloud and AI waves?(11:44) – Why Steve hired a Hollywood director.(14:08) – The importance of intensity.(17:55) – Why did Steve swap working on startups for working at Google?(21:18) – What are some tips Steve has for founders looking to scale aggressively?(24:48) – How does Steve manage working with different founders with different approaches?(27:46) – Can the app layer retain value, or will model builders dominate instead?(30:26) – Has product lost value to brand and distribution in app growth?(32:12) – What advice does Steve have for new founders and what industries is he excited by?

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan sit down with Riley Brown, content creation expert and founder of Create.Inc. Riley discusses the transformative impact of AI tools like Claude Artifacts in democratizing content creation and app development, enabling non-coders to build applications and generate content more easily. With over half a million followers as an AI influencer, Riley reflects on his journey from marketing analytics to using AI and no-code platforms for app creation. Riley highlights the growing importance of authentic content creation and the strategic use of social media to fuel business-growth and he explains how the intersection of content and product development presents massive opportunities for creators and entrepreneurs alike. We also learn how AI interactions will play a significant role in shaping user experiences, further transforming how we engage with technology. And we learn why creators need to continue to adapt to emerging trends in AI to stay ahead, and why combining creativity with innovative tech will enable creators to seize the opportunities of tomorrow.What we talk about:(1:17) – Who is Riley Brown?(2:30) – What are ‘composer creators’?(5:20) – The difficulties of content creation.(9:29) – Where does content creation start?(11:06) – What is the no-code AI revolution?(13:47) – The importance of curiosity and consistency.(14:47) – How do you go from zero coding experience to entering the app space?(16:07) – The challenges of creating new apps.(18:11) – Building apps for enterprise-level users.(20:32) – What are Riley’s favourite platforms for building audiences?(23:36) – What advice does Riley have for content creators just starting out?(28:02) – What are the distribution strategies Riley recommends?(30:27) – What are Riley’s predictions for the content creation space in the next year?

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan are joined by Alec Nguyen, founder of the AI-powered reference manager Afforai. Alec reveals how he turned a college project into a thriving startup generating $700,000 in just three months. Discover the highs and lows of integrating AI into academic tools and learn why balancing innovation with smart distribution is the key to product success.Alec shares insider growth-hacking strategies, ethical considerations for AI, and his experience launching on major platforms like AppSumo and Product Hunt. Get actionable tips for responsible AI usage in academia and hear his take on why raising venture capital is crucial for international student entrepreneurs.Tune in as Alec opens up about the support he received from Sputnik ATX VC and the lessons learned on his entrepreneurial journey—perfect for anyone looking to build, scale, and innovate with AI.What we talk about:(0:49) – What was Alec doing before Afforai?(2:38) – When did Alec realize the opportunity to solve the challenges of citations and references?(4:19) – What else did Alec create on the road to Afforai?(6:59) – How did Alec secure his first users?(8:13) – How do you overcome the challenge of distribution?(10:33) – How does Afforai remain predictable and dependable?(12:34) – What was the process of $0 to $700,000 like?(13:56) – What makes for a successful launch on AppSumo?(16:12) – How to pick distribution platforms and when to use them.(17:50) – How can you make the best out of your own product launch?(19:51) – How did Alec approach refinement in the early days of the launch?(21:44) – How is Alec ensuring the ethical use of Afforai?(23:07) – What are some exciting Afforai features we should be on the lookout for?(24:25) – How big is the Afforai team and is the business still bootstrapped?(28:11) – What trends should we watch out for in the AI academia space?(29:51) – What advice does Alec have for students on the responsible use of AI in their studies?(31:25) – Why did Alec insist on incorporating a nap room in his offices?

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan are joined by Chip Hazard, a venture capitalist with over two decades of experience. From his early days at Greylock to founding Flybridge Capital Partners, Chip has seen it all — dot-com bubbles, the rise of cloud computing, and now the AI revolution. He shares his unique perspective on the evolving landscape of AI, venture capital, and what it takes to build a successful company in a competitive and fast-changing environment.Chip delves into the parallels between past technological waves and the current AI surge, offering valuable insights into how companies today can navigate rapidly shifting landscapes. He also explores why AI will soon be embedded in every business, and how founders must balance technical expertise with deep domain knowledge to gain a competitive edge.Tune in to hear Chip's thoughts on AI’s future, advice for founders, and what he looks for when investing in startups.What we talk about: (1:32) – Chip’s perspective on how AI will permeate every company (4:26) – The parallels between the AI wave and the dot-com era(7:09) – Challenges founders face in today’s rapidly evolving AI landscape(10:15) – Why AI's fast adoption in the Fortune 500 is unprecedented(13:44) – The importance of combining technical expertise with domain knowledge(18:15) – The future of AI in enterprise and production use cases(21:04) – Chip’s thoughts on data, synthetic data, and the opportunities in AI(25:28) – Advice for founders seeking investment in the AI space(30:00) – Chip’s outlook on the future of AI and AGI development

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan are joined by Sherry Jiang, co-founder and CEO of Peek. Sherry takes us on a journey from her days at Google and Amazon to launching her own fintech startup. We hear why she left behind her high-flying tech career to follow her passion for financial innovation, driven by a desire to build something truly impactful.Sherry dives deep into the game-changing potential of AI, sharing how Peek is making personal finance smarter, easier, and more accessible to everyone. Plus, we discover how platforms like Cursor are enabling non-tech-savvy users to create powerful applications, leveling the playing field for all.Listen in for Sherry’s insights into Singapore’s thriving startup scene and her personal philosophy on entrepreneurship. Whether it’s harnessing AI for financial freedom or embracing curiosity and resilience in the face of challenges, Sherry’s story is packed with valuable lessons for innovators and dreamers alike.What we talk about:(1:32) – Who is Sherry Jiang?(4:26) – Tips for people new to Cursor(7:09) – What do people need to know before they start developing an app?(10:15) – What qualities do people need to have when developing apps with little experience?(13:44) – Examples of successful apps developed on Sherry’s AI course(18:15) – What is Peek?(21:04) – What inspired Sherry to build Peek?(23:28) – What is Sherry’s approach to building wealth?(27:28) – What was the journey like going from employee to founder?(33:16) – What is the startup scene like in Singapore?

In this episode of Superhuman AI: Decoding the Future, the Zain and Hassan discuss the potential risks AI poses to humanity with Judd Rosenblatt, an AI researcher known for his work on AI safety and alignment. The conversation delves into why many top AI experts are concerned about AI disempowering humanity and examines various approaches to solving AI alignment issues.Judd also shares insights from his entrepreneurial journey and discusses the development of brain-computer interface technologies aimed at increasing human intelligence to address AI-related risks. They also touch on the roles of major AI companies, the impact of regulation, and the intersection of AI development between the US and China.What We Talk about:(00:35) - Meet Judd Rosenblatt: AI Researcher(01:21) - Understanding AI Alignment(05:05) - The Portfolio Approach to AI Safety(07:32) - Expert Opinions on AI Threats(18:08) - China's Stance on AI Regulation(20:42) - AI in Enterprises: Opportunities and Challenges(25:44) - Future of AI: Excitement and Concerns(28:09) - Conclusion and Final Thoughts

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan are joined by Haroon Choudery, CEO of Autoblocks AI, a company dedicated to improving AI reliability and safety for companies across various industries. Haroon shares his journey through AI, from his work with top teams in Silicon Valley to co-founding the nonprofit "AI for Anyone," which has educated over 70,000 people on AI fundamentals.They discuss the major shifts in the AI landscape, particularly with the introduction of LLMs (Large Language Models) and diffusion models, and how these technologies are augmenting human capabilities in unexpected ways. Haroon sheds light on the complexities of model evaluation, the nuances of ensuring AI safety and reliability, and how smaller, nimble teams can outpace larger incumbents in the AI race.Whether you're a startup founder, an AI enthusiast, or someone interested in the future of AI, this episode offers valuable insights into the cutting-edge of AI technology and its impact on the world.What we talk about:(01:55) Haroon’s journey in AI and the origins of Autoblocks AI(03:17) The surprising shifts in AI: LLMs, creativity, and human augmentation(05:59) The tools and strategies needed to keep up with an evolving AI space(08:38) Ensuring reliability in AI applications(12:19) Techniques for AI safety and the future of prompting(16:27) The benefits of small AI teams vs. large incumbents(18:53) How AI is reshaping workflows and creating new business opportunities(23:25) Haroon’s experience interviewing top AI leaders(28:03) Why we’re still in the early days of AI and what the future holds

In this episode of Superhuman AI, Hassan and Zain are joined by Grant Lee, co-founder of Gamma, one of the most successful generative AI startups in the market today. Grant shares the story of building Gamma from the ground up and how integrating AI into the product created a massive inflection point, helping it grow to over 20 million users.Grant offers deep insights into Gamma’s unique approach to AI, how it differs from other AI-first startups, and how understanding users’ pain points led to the creation of a product that’s sticky, viral, and profitable. With a focus on modernizing the presentation format, Grant discusses the challenges of building horizontal products, making decisions around monetization, and why being scrappy and focused helped Gamma succeed where others struggled.What we talk about:(01:05) - How Grant grew Gamma from idea to 20 million users(03:40) - Why Gamma’s AI-native approach led to success(06:12) - How Gamma reimagines presentations for the modern workplace(08:54) - Lessons from internal testing(10:49) - The counterintuitive lessons learned from users (13:17) - Building a scalable AI stack for the future(16:06) - Organic growth through word-of-mouth and virality(19:18) - Deciding when to charge users and how to monetize AI(21:16) - Grant’s journey from finance to founding Gamma(23:41) - How Gamma became profitable while continuing to grow(25:54) - The hardest moments on the path to success(28:35) - What’s next for Gamma and the AI-driven future of content creation?

In this episode of Superhuman AI: Decoding the Future, Hassan and Zain are joined by Jesse Middleton, former WeWork executive, early-stage tech investor, and hacker extraordinaire. Jesse shares how his journey from playing with early Apple computers to helping WeWork scale from a small team to a global phenomenon has influenced his unique approach to startup investing and the future of work.Jesse provides insights into the wild early days of WeWork, how culture and focus built the company, and the lessons learned from its downturn. Jesse also dives into his investment philosophy, the explosive growth of AI, and why he believes the next decade will see AI transforming industries in ways we can hardly imagine.We also learn about the role of culture in startups and hear Jesse’s predictions for AI’s impact on the regulation space.What we talk about:(01:05) Jesse’s journey from hacker to WeWork and beyond03:42) How Jesse’s love for breaking things led him to the tech world(05:48) The moment Jesse met Adam Neumann and joined WeWork(07:06) WeWork Labs: Building a space for tech entrepreneurs(09:58) How WeWork grew(12:00) The rise and fall of WeWork from an insider’s perspective(13:14) Key takeaways from WeWork: Focus and culture(15:12) Jesse’s philosophy on startup investing and AI’s future(19:12) AI’s impact on regulated industries and the creative fields(21:33) The rise of Small Language Models (SLMs) and agentic AI(25:51) AGI: Will it happen and how it could change everything?(28:35) How AI is already making a difference in Jesse’s life?

How does someone with zero software experience build multiple successful apps using AI? In this episode of Superhuman AI: Decoding the Future, Zain and Hassan sit down with Blake Anderson, a serial entrepreneur who has built apps generating millions in revenue—all with the help of ChatGPT.Blake shares his journey, from discovering AI to building Umax, a looks-maxing mobile application, and PlugAI, an AI dating assistant, both of which have disrupted their respective markets.Blake delves into how he leveraged ChatGPT to learn coding and develop his apps, despite having minimal technical background. The conversation covers the challenges of scaling a startup, the importance of rapid iteration in marketing, and the bold risks Blake took to ensure his apps' success. We learn what it takes to build and scale AI-driven consumer apps, the importance of finding and exploiting market niches, and the power of AI as both a tool and a tutor. What we talk about:(00:18) Who is Blake Anderson?(01:13) Overview of Umax and PlugAI(02:04) Blake’s entrepreneurial journey from childhood(03:31) Discovering the potential of AI in app development(05:23) The origin of RizGPT and its evolution to PlugAI(06:39) ChatGPT's role in app development(07:23) The power of rapid iteration in marketing(09:18) Overcoming initial struggles and finding success on TikTok(10:40) The importance of constant iteration in marketing(11:24) Step-by-step process of building an app with ChatGPT(13:26) Deciding on partnerships and team dynamics(14:47) The inception and development of Umax(19:08) Scaling Umax amid competition and market challenges(21:46) Managing risks and motivating a team(24:23) Introduction to Blake’s new venture, CalAI(26:23) Opportunities in AI with GPT-4.0(29:36) Advice for aspiring AI entrepreneursLearn more about Blake and his work here:INSTAGRAM: instagram.com/blakeandersonwTWITTER: x.com/blakeandersonwCALAI: https://apps.apple.com/us/app/cal-ai-calorie-tracking/id6480417616UMAX: https://apps.apple.com/us/app/umax-become-hot/id6471026798PLUGAI: https://apps.apple.com/bg/app/plug-ai-texting-assistant/id6449750416

How does an entrepreneur turn struggling startups to a multimillion-dollar AI business? In this episode of Superhuman AI: Decoding the Future, Zain sits down with David Park, CEO of Jenni AI, to explore his remarkable journey from a struggling entrepreneur to leading a successful AI writing app.David reveals how he leveraged AI technology to create Jenni AI, a tool used by millions of academics, all while navigating personal challenges, including a cancer diagnosis, while growing his startup.David shares his experiences of building Jenni AI, from his early experiments with GPT-2 to the breakthrough moment with GPT-3. They also discuss the importance of user feedback, the impact of viral social media content on growth, and the strategic decisions that propelled Jenni AI to success. We’ll learn about the practical aspects of scaling an AI startup, the significance of product-market fit, and the role of effective marketing strategies. David and Zain also touch on the broader implications of AI integration across industries and offer advice for aspiring entrepreneurs. What we talk about:(00:37) Who is David Park?(01:18) David’s background and Jenny AI(02:04) Revenue growth and team size(03:03) David’s entrepreneurial backstory(04:20) The path to Jenni AI(04:40) Idea inception and AI integration(06:19) Early experiments with Chat GPT(07:38) The pivotal moment with GPT-3(09:35) The technical co-founder’s role(10:20) Pivoting to an educational tool(12:07) Viral growth and its impact(14:22) Sustaining growth through social media(17:11) Marketing strategies post-virality(20:35) Overcoming personal health challenges(24:02) Lessons learned in AI development(27:05) Responding to critics and future outlook

Ever wondered why some AI startups succeed while others falter despite having groundbreaking technology?In this episode of Superhuman AI: Decoding the Future Zain and Hassan dive deep into the intricate balance of product development, market timing, and strategic sales.Through his own entrepreneurial journey, Hassan Bhatti shares invaluable insights on navigating the complexities of the AI landscape, from initial idea generation to securing the right team and finally, executing a profitable exit strategy.Hassan, who has built and sold two AI startups, joins the conversation to unpack his experiences. From his academic background to his pivotal roles at companies like Snowflake, Hassan outlines his journey into the AI world. He’ll discuss the importance of timing in achieving product-market fit, the critical role of distribution and customer acquisition, and the evolving landscape of AI development post-LLM wave.We’ll learn practical advice on building and scaling AI startups and we’ll hear about the nuanced decision-making process behind selling a startup. Plus, Zain and Hassan talk about the increasing integration of AI across industries and the transformative potential of AIassistants.What we talk about:(00:28) Introduction of Hassan Bhatti(01:14) Hassan’s background and journey(02:01) Overview of AI startups(03:37) Origins of the first company(04:03) Deciding on the right opportunity(05:47) Building the first product(06:53) Validating product-market fit(07:44) Lessons on timing in startups(09:13) Importance of budget allocation(10:54) Strength of go-to-market muscle(12:38) Building effective B2B strategies(14:41) Finding design customers(16:27) Selling your startup(20:26) Strategies for acquisition(21:27) Frameworks for building AI companies(24:45) Predictions for AI in the next year

Welcome to Superhuman AI: Decoding the Future, your go-to podcast for all things artificial intelligence, machine learning, and tech innovation. Hosted by Superhuman AI CEO, Zain Kahn, and co-host, tech entrepreneur Hassan Behati, we bring you two new episodes weekly  to share the future of AI, through AI tools, startups, expert insights and news.Tune in every Tuesday for the latest AI news, industry trends, breakthroughs, and emerging technologies. We keep you in the loop with all the biggest stories and developments on AI ethics, AI marketing, and more.  Then, join us every Thursday for a video episode of  in-depth conversations with top  AI founders and entrepreneurs, sharing their stories, strategies, and expert advice on leveraging AI technology. You’ll learn how you can benefit from these advances.Whether you're an AI expert or want to learn how new AI tools can transform your productivity and automation, this is the podcast for you. We cut through the noise of the AI era to keep you informed without feeling overwhelmed. So stay connected and join us as we decode the future of AI.