In this episode of Forward Thinking Founders, Mat Sherman sits down with Meaghan Franks, founder of Sport Sitters, a marketplace that connects college athletes with families for high-trust, high-energy babysitting.What started as an accidental idea at Arizona State quickly became a powerful new way for student-athletes—especially women and non-revenue sport athletes—to earn income through NIL while inspiring the next generation of kids. Parents get vetted, elite athletes in their homes. Athletes get meaningful income, brand-building, and real community impact.Timestamps00:00 – Introduction to Meaghan Franks and Sport Sitters01:10 – The origin story: athletics, parenting, and NIL colliding03:00 – How Sport Sitters works for parents (matching, safety, experience)05:00 – Why parents don’t choose the sport—and why that matters for kids06:40 – Athletes as role models, not just babysitters09:00 – NIL explained: why Sport Sitters couldn’t exist before12:00 – The challenge of international athletes and NIL restrictions14:30 – Meaghan’s journey as a first-time, non-technical founder17:00 – Building the platform, tech bottlenecks, and lessons learned19:30 – Why overusing AI slowed development instead of speeding it up22:45 – Strong demand, scaling pressure, and “good problems”23:45 – Pricing, payments, and how parents actually book28:00 – The long-term vision: Sport Sitters as “first-class” babysitting31:00 – Where to learn more and how to get involvedThis is a must-listen for founders building two-sided marketplaces, anyone curious about NIL beyond brand deals, and parents interested in a new, elevated approach to babysitting that blends athletics, role models, and community.

In this episode of Forward Thinking Founders, Mat chats with Kosuke July Hata, the founder behind the ROC Camera — a groundbreaking device built to take verifiably real photos in the age of AI.He shares how his background in robotics, autonomous vehicles, and flying cars at Kitty Hawk shaped his belief that “impossible things are buildable with enough time,” and how that mindset led him to create a camera that can cryptographically prove an image was captured by a real sensor, in a real moment, by a real human.We dive into:Why AI-generated “image slop” is eroding trust onlineHow ROC uses sensor attestation + zero-knowledge proofs to verify authenticityUse cases from journalism to robotics to combating “this is AI” accusationsWhat it takes to build hardware in a world dominated by softwareWhy early adopters include cryptography engineers and AI-conscious creatorsJuly’s thoughts on SF, outrageous ideas, and building hard tech todayIf you care about the future of photography, data provenance, or restoring trust to the internet, this is a must-listen conversation.Learn more at roc.camera and follow July at @0xjuly.

In today’s episode of Forward Thinking Founders, Mat sits down with Bo Shaffer, founder and CEO of Playswise, a startup using computer vision and AI to unlock deep basketball analytics straight from broadcast footage. Bo played basketball at Duke, and she saw firsthand how much of the sport still relies on slow, manual film review. Playswise is her attempt to change that — bringing NBA-level insights to any team, coach, or player by automating detection, tracking, and advanced breakdowns using modern AI models.In the conversation, we get into Bo’s path from college basketball to tech, how AI can transform scouting and player development, why legacy tools like Hudl and Synergy are ripe for disruption, and what the future of automated sports analytics could look like. We also talk about AI agents, staying on top of rapid AI progress, and what it means to build an AI-native company in an industry that hasn’t kept up.If you’re interested in sports, AI, or the intersection of the two, you’ll enjoy this one.Timestamps:00:01 – Intro + Welcoming Bo Shaffer00:30 – What Playswise is and why it matters01:19 – Bo’s background at Duke + how she got into AI02:42 – Discovering tech and realizing the basketball world is still manual03:55 – How the internet (Twitter, open source) helps her build05:13 – Staying focused while AI evolves so fast07:06 – How she trains the models and improves accuracy08:19 – What training looks like behind the scenes09:41 – Coaches’ reactions + existing tools in the space10:57 – Thoughts on AI agents and future tech12:24 – Are agents real or still early hype?14:02 – College years, Zoom era, and seeing AI rise16:17 – Her big goals for Playswise over the next few years17:35 – Why legacy systems like Hudl/Synergy are outdated18:21 – The accuracy problem in today’s sports tools19:08 – Where to find Bo + Playswise online

In this episode of Forward Thinking Founders, Mat Sherman sits down with Gulmohar Ahluwalia, founder & CEO of Nyxara — a company building a next-generation space-to-ground communications system using cloud-piercing lasers capable of delivering terabits per second. Imagine downloading all of Netflix in five seconds. That’s the world Nyxara aims to unlock.Gulmohar walks through her path from aspiring astronaut to electrical engineer to telecom expert, and how seeing firsthand the limits of today’s 5G and RF-based networks pushed her toward free-space optical communication. She breaks down, in simple terms, why Starlink and other systems can’t get laser signals through clouds, why RF spectrum is physically tapped out, and why optical frequencies represent the next uncongested frontier for 6G-class internet.She then explains Nyxara’s core breakthrough: using an ultra-high-frequency ground laser to create a “hollow channel” through cloud and fog layers, allowing satellites to send and receive massive data loads reliably — effectively creating a portable, dynamic, distributed network layer in space.Mat and Gulmohar explore:How she broke a world-changing vision into buildable stepsWhy she left Australia for San Francisco, and how the pace, talent density, and serendipity changed everythingThe hardware and optics ecosystem inside Founders IncWhat a typical day looks like for her — ultramarathon training, deep focus mornings, customer calls, and fundraisingHow Nyxara fits into her broader belief that humanity needs four pillars (vessels, fuel, food/water, and communications) to eventually leave EarthWhy she hopes one day fiber optic cables will be remembered like floppy disksGulmohar closes by sharing where to follow her work: X, Substack, LinkedIn, and the Nyxara newsletter.If you’re into frontier tech, laser communications, AI-ready infrastructure, or ambitious founder journeys, this is one you’ll want to hear.

Mat Sherman catches up with Connor Waslo, co-founder/CEO of Caddy, a desktop voice interface that keeps you in flow by turning spoken intent into real work across tools like Linear, Slack, Calendar, Gmail, and Notion. Connor shares the origin story with cofounder Rajiv, hard pivots, and craft standards for their private beta. They compare SF’s tech gravity with New York, reflect on learnings from Loom through acquisition, and talk about how YC’s time pressure reshapes execution from September to Demo Day. You’ll hear concrete use cases—function-key capture, automatic screenshots and tickets, calendar creation—plus takes on context, tone, and why video + AI is earlier, better, and scarier than most realize. They close with founder routines, community, and a billboard-ready reminder: who you work with matters most.Time Stamps:00:00 Introduction and Backstory: How Mat and Connor First Met  01:05 What Caddy Is and How It Works  03:15 The Origin Story: Loom Pain Points, Prototypes, and Pivot Hell  05:41 Lessons From Loom and Transitioning to Founder Life  08:25 Moving to SF for Y Combinator  09:53 SF vs. NYC: Tech Density and Culture  12:49 Inside YC: Speed, Pressure, and Company-Building  15:12 Building in a Fast-Moving AI World  16:59 Current Use Cases, Private Beta, and Product Direction  19:52 Long-Term Vision: Context, Tone, and the Future of Work  26:07 What’s Emerging in SF: AI Video and New Frontiers  28:15 A Day in the Life of a YC Founder  32:05 Launch Plans: Waitlist, Beta Access, and Community  34:00 The Billboard Question: Connor’s Final Message  36:08 Closing Thoughts