Page de couverture de The Lobster Talks Podcast by Lobster Capital

The Lobster Talks Podcast by Lobster Capital

The Lobster Talks Podcast by Lobster Capital

Auteur(s): Gabriel Jarrosson
Écouter gratuitement

À propos de cet audio

Feast into the Startup Hustle with The Lobster Talks Podcast by Lobster Capital! Craving the real deal on starting and scaling a business?

The Lobster Talks Podcast by Lobster Capital serves up raw, unscripted conversations with experienced founders who've been there, done that (and gotten the investor backing!).

Join us as we dissect the triumphs and trials of the entrepreneurial journey, peeling back the layers to reveal the nitty-gritty of building a startup from the ground up. Our guests share their unfiltered insights, hard-won lessons, and practical tips to help you navigate the exciting (and sometimes messy) world of startups.

Subscribe now and get ready to hear honest, unfiltered stories from seasoned founders, uncover valuable insights and actionable tips for your startup journey, gain inspiration from those who've successfully navigated the fundraising game and join a community of passionate entrepreneurs eager to learn and grow.

2025 Lobster Capital
Finances personnelles Gestion et leadership Politique Économie
Épisodes
  • Building the AI Insurance Giant From Scratch
    Jul 8 2025

    They didn’t sell to insurance brokers — they replaced them.

    Dakotah Rice didn’t build AI tools for the industry. He built an AI-first insurance company — and now Harper is scaling faster than they can handle.


    In this episode, Dakotah shares how Harper went from kitchen-table experiments to a high-growth, fully autonomous insurance brokerage. He breaks down the real bottlenecks, the AI architecture behind their workflows, and the bold bets that could reshape an entire industry.


    What you’ll learn:


    Why Harper ditched SaaS and chose vertical integration

    How to embed engineers directly in operational workflows

    The underrated bottlenecks to AI-first company scaling

    Why relationships are overrated in insurtech

    How to build trust with real-world customers — without mentioning AI

    The real limits (and future) of fully autonomous firms


    📌 Watch now and subscribe for more smart, fast, founder-first interviews.


    Chapters

    00:00 Introduction to Harper and Dakota Rice

    00:38 Dakota's Background and Harper's Mission

    02:13 Challenges and Pivots in Building Harper

    04:29 Entering Y Combinator and Scaling Up

    06:19 The Importance of Workflow Understanding

    13:17 Lessons from Past Failures

    18:34 Vision for AI in the Future

    21:51 Building Complex AI Systems

    22:49 Human Element in AI Services

    23:53 Customer Perception of AI

    27:37 Scaling Challenges and Solutions

    35:14 AI's Role in Future Business Models

    37:58 Future Predictions and Industry Insights

    42:46 Conclusion and Contact Information


    🎧 Listen on the go:

    Spotify: https://spoti.fi/4m2K7ah

    Apple: https://apple.co/4cZ8RMm

    My other YouTube Channel: https://www.youtube.com/@GJarrosson

    Voir plus Voir moins
    44 min
  • Self-Improving Voice Bots: Replacing 100 Agents with AI
    Jul 1 2025

    What if a single AI voice agent could handle 100,000 calls a day and free up your entire support team?


    Episode Summary:

    In this episode of Lobster Talks, Gabriel sits down with Kevin Wu, founder of Leaping AI, to unpack how voice-powered AI is automating 50–70% of repetitive support calls, self-optimizing over time, and achieving 90% customer satisfaction. We dive into the origin story, technical stack, ROI metrics, human-in-the-loop safeguards, and bold predictions for 2030.


    You’ll learn:

    How Leaping AI began: from BCG ideation to the first major enterprise customer

    The differentiator: combining voice AI with evaluation and self-optimization modules

    Managing edge cases and human fallback to maintain 90% satisfaction

    Tech stack overview: orchestration layer, Twilio, multiple TTS/ASR providers, LLMs

    Calculating ROI and setting realistic metrics with weekly check-ins

    Future bets: AI vs. human empathy, integration challenges, market structure by 2030

    Practical advice for CX leaders overwhelmed by AI hype


    Chapters:

    00:00 Introduction to Leaping AI with Kevin Wu

    00:59 Kevin Wu's Journey and Inspiration

    02:10 Winning the First Customer

    02:41 Leaping AI's Unique Selling Points

    03:59 Self-Improving AI Agents

    05:17 Handling Edge Cases and Human Involvement

    06:32 Early Days and First AI Call

    07:33 Challenges and Continuous Improvement

    09:00 Market Position and Competitor Insights

    13:47 Customer Metrics and ROI

    17:18 Technical Stack and Partnerships

    19:09 Sponsor Message and Text-to-Speech Choices

    19:32 The Best AI Voice Provider: Does It Exist?

    21:10 Challenges in Voice AI for Sales

    23:31 Implementing AI in Customer Support

    25:37 Customer Reactions to AI

    29:32 Future Predictions for AI in Customer Service

    37:45 Getting Started with AI in Customer Service


    📌 Watch now and subscribe for more smart, fast, founder-first interviews.


    🎧 Listen on the go:

    Spotify: https://spoti.fi/4m2K7ah

    Apple: https://apple.co/4cZ8RMm

    My other YouTube Channel: https://www.youtube.com/@GJarrosson

    Voir plus Voir moins
    39 min
  • From YC to Viral: Prady's Wild AI Video Bet & the Future of Video Editing
    Jun 24 2025

    What if you could edit your face and voice like a Google Doc?

    That’s exactly what Prady Modukuru is building at Sync—an AI company making video editing fully editable in post-production. No more re-recording. Just fix it like text.


    In this high-velocity episode of Lobster Talks, we go deep on Sync’s origin story, how Prady and his team ship insanely fast, and why their AI-powered content tools are poised to redefine modern storytelling. It's a masterclass in product, research, and distribution.


    🔑 You’ll learn:

    Why the future of video is editable—not generative

    How Sync’s AI makes lip-sync edits invisible

    The secret to shipping faster than anyone else in YC

    What most AI startups get wrong about growth

    How content became Sync’s unfair advantage

    The risks—and responsibilities—of powerful AI models


    📌 Watch now and subscribe for more smart, fast, founder-first interviews.


    Chapters

    00:00 Introduction to Lobster Talks

    00:05 Meet Prade Moku and Sync

    00:48 How Sync Revolutionizes Video Editing

    02:49 The Journey and Growth of Sync

    06:44 The Importance of Speed and Culture

    12:44 Content Strategy and Its Impact

    23:23 AI Modified vs. AI Generated Videos

    25:43 Future of Video Editing

    25:57 Challenges in Human Editing

    27:55 AI in Video Production

    28:18 Common Mistakes in AI Video Companies

    30:58 Organic vs Paid Content

    32:00 Content Creation and Distribution

    38:10 Future of Small Content Teams

    41:56 Risks and Ethical Concerns

    49:21 Exciting Developments at Sync

    50:34 Conclusion and Farewell


    🎧 Listen on the go:

    Spotify: https://spoti.fi/4m2K7ah

    Apple: https://apple.co/4cZ8RMm

    My other YouTube Channel: https://www.youtube.com/@GJarrosson

    Voir plus Voir moins
    51 min

Ce que les auditeurs disent de The Lobster Talks Podcast by Lobster Capital

Moyenne des évaluations de clients

Évaluations – Cliquez sur les onglets pour changer la source des évaluations.