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AI for Founders with Ryan Estes
aiforfounders.co
105 episodes
1 hour ago
AI for Founders is where 27,000+ founders learn to build and scale with AI. Hosted by Ryan Estes, the show breaks down real strategies from top operators and AI founders. AI-ready data, zero-dependency workflows, founder-led distribution, and the tools driving revenue for today’s fastest-growing companies. If you’re a technical or non-technical founder who wants to work smarter, scale faster, and stay competitive, this podcast is your weekly unfair advantage.
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All content for AI for Founders with Ryan Estes is the property of aiforfounders.co and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
AI for Founders is where 27,000+ founders learn to build and scale with AI. Hosted by Ryan Estes, the show breaks down real strategies from top operators and AI founders. AI-ready data, zero-dependency workflows, founder-led distribution, and the tools driving revenue for today’s fastest-growing companies. If you’re a technical or non-technical founder who wants to work smarter, scale faster, and stay competitive, this podcast is your weekly unfair advantage.
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Entrepreneurship
Business
Episodes (20/105)
AI for Founders with Ryan Estes
How Do I Protect My Idea?

Welcome to AI for Founders, I'm Ryan Estes.

If you’re building something in AI and you haven’t checked the patent landscape, there’s a non-zero chance someone you’ve never met already owns the rights to your “million dollar” idea.
And one day, right when you hit real traction, they show up with a lawsuit instead of a term sheet.

On today’s episode of AI for Founders, I’m talking with Ophir Kra-Oz, co-founder of SenseIP, an AI-powered patent and IP platform that turns the slow, expensive, attorney-only patent process into a fast, founder-friendly validation step you can run on day zero.

We get into how patents actually work in an AI world that moves faster than the legal system, when you should protect your IP, why provisionals are criminally underused, how AI agents can make your ideas better and more defensible, and how to avoid having your startup killed by a piece of paper you ignored.

If you’re a founder, operator, product leader, or engineer with too many ideas and not enough time, this conversation will plug a huge hole in your validation stack and might save you years of pain later.


https://senseip.ai

https://www.linkedin.com/in/ophirk1

https://aiforfounders.co/

__

See our friends:

https://ambient.us⁠

⁠https://codestory.co

⁠https://warmstart.ai ⁠

⁠https://kitcaster.com/application ⁠

⁠https://ryanestes.info⁠

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17 hours ago
56 minutes 16 seconds

AI for Founders with Ryan Estes
AI Friends That Actually Call You (And They Remember Everything)

Welcome back to AI for Founders, I'm Ryan Estes.

What happens when your most reliable teammate isn’t an app… it’s a voice that calls you at exactly the right moment? Today we’re meeting the founders of Commitify, an AI accountability coach with personalities—Life Coach, Zen Master, Slay Bestie, Hype Beast, Drill Sergeant, and CEO—that literally ring your phone to snap you back into flow. The tension: real friends have boundaries and bias, therapists have calendars and copays, and apps are drowned in notifications. Commitify bets the future is UI-less voice with long-term memory that feels like a friend and works like a coach.
In this episode, you’ll learn why they chose phone calls over screens, how they design agent personas that motivate without being cringey, what “memory” should and shouldn’t remember, the wild origin story (a 100-hour hackathon sprint), pricing by calls per week, and how they’re hunting for a true ICP before scaling. This one’s for founders, builders, and product people who want big retention with small surfaces—and anyone exploring AI that actually changes behavior, not just creates content. Let’s get into it.

__

https://www.commitify.me

https://www.linkedin.com/in/mehdi-greefhorst

https://ambient.us

https://codestory.co/

https://warmstart.ai

https://kitcaster.com/application

https://ryanestes.info

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4 days ago
44 minutes 58 seconds

AI for Founders with Ryan Estes
The Offshore Kingdom: How Penbrothers Builds Teams That Scale

Welcome back to AI for Founders, I'm Ryan Estes.

Today’s episode starts with a tension every founder feels but rarely admits:


What do you do when the talent you need doesn’t exist in your own backyard - but exists in abundance halfway across the world?

My guest, Nico Bivero, has spent 22 years in Asia and 15 years in the Philippines building Penbrothers—one of the original offshore-team powerhouses that helped startups scale before “offshoring” became a buzzword. His company has supported 1,500 employees, partnered with 90+ global startups, and sits at the center of a massive shift in how founders build teams in the age of AI.

In this conversation, you’re going to learn how founders should think about global talent, why Filipinos consistently outperform expectations, what roles are perfect to offshore, and what roles you should never outsource. You’ll also learn how AI, culture, and human psychology collide when you build teams across continents.

If you’re a founder, operator, or anyone building with AI who wants to scale with precision—not chaos—this one is for you.

__

Please check out our friends at:

https://ambient.us
https://codestory.co/
https://warmstart.ai
https://kitcaster.com/application

https://ryanestes.info

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5 days ago
54 minutes 3 seconds

AI for Founders with Ryan Estes
The $1.5 Trillion AI Problem Nobody Talks About - Until Now

Welcome back to AI for Founders, I'm Ryan Estes.

AI is sprinting, but most enterprises are stuck doing the splits — one foot on a mainframe, one foot in the cloud — and the plumbing in between is Victorian. Today, we fix that. My guest is David Carmell, founder of DATAROCKiT, and his claim is simple and spicy. Data is just data until it’s clean enough for AI. In this episode, you’ll learn how legacy and unstructured data get transformed into trustworthy, AI-ready fuel in hours instead of years. We dig into onboarding that’s almost “just upload it,” pricing that shares in customer savings, and a playbook for selling urgency to cautious C-suites. This one is for founders, CTOs, and operators who want their AI to stop hallucinating and start shipping outcomes. If you want practical steps, case-study thinking, and a few killer metaphors you can repeat to your board, you’re in the right place.

__

https://datarockit.com
https://facinghistory.org

Please check out our friends at:

https://ambient.us

https://codestory.co/

https://warmstart.ai

https://kitcaster.com/application

https://ryanestes.info


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6 days ago
54 minutes 51 seconds

AI for Founders with Ryan Estes
Your company Is sitting on a data gold mine

Welcome back to AI for Founders, I am Ryan Estes

There’s a mountain every company is quietly climbing — not of code or customers, but of unstructured data.
Billions of pages. Decades of contracts, PDFs, and reports trapped in digital silos no human has time to read. It’s where trillions of dollars in untapped insight are hiding — and where most AI systems still fail.

Today, we meet the man building the rope line up that mountain.
Mehul Shah, former AWS engineer behind OpenSearch and Glue, now leads Aryn.ai — a company on a mission to help enterprises turn the 90 percent of their data they can’t analyze into an engine of intelligence.

If you’re a founder, data leader, or investor wondering where the real AI gold rush begins — not in flashy demos, but in the hard, unseen work of structuring the world’s chaos — this episode is for you.
You’ll learn why most enterprise AI deployments fail, what “human-in-the-loop” really means, and how the next wave of productivity won’t come from chatbots — but from invisible AI that simply makes work work.

So grab your coffee, open your mind, and get ready to rethink what data really is.
Here we go.

https://www.aryn.ai
https://www.linkedin.com/in/mehulashah
https://x.com/mehulashah
https://www.shfb.org

__

Please check out our friends at:

https://ambient.us

https://codestory.co

https://warmstart.ai

https://kitcaster.com/application

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1 week ago
58 minutes 55 seconds

AI for Founders with Ryan Estes
The $40,000 Desk: Why Offices Will Never Be the Same Again

Welcome to AI for Founders I am Ryan Estes.

You are probably feeling the whiplash right now. Your office lease was signed in 2018 for 10 years, your team is half remote, your desks cost $15–40k a year, and your people are either lonely at home or resentful about being dragged back to the office.

Today I am talking with someone who went through the fire on this. Dan Bladen is the founder of Kadence, that is Kadence with a K, the workplace operations platform behind hundreds of companies, Fortune 50s, ten thousand teams, and tens of millions of dollars raised after a brutal pivot from dead in the water hardware to must-have SaaS.

In this conversation, you will learn how to turn empty and expensive offices into a real advantage, how to design a hybrid cadence that actually improves mentorship and family life, why sales and engineering need to share the same oxygen sometimes, and what founder-led marketing does for enterprise deals.

If you are a founder, operator, head of workplace, real estate leader, or just a sales dog wondering where your team should actually sit, this episode is for you.

Alright, let us get into it with Dan from Kadence.

__

https://kadence.co/

https://x.com/danbladen

https://stopthetraffik.org/

https://ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.

https://codestory.co/?utm_source=newsletterorpodcast&utm_medium=emailorepisode&utm_id=aiforfounders - A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.

https://warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.

https://kitcaster.com/application - Let us schedule your podcast interviews


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1 week ago
1 hour 1 minute 29 seconds

AI for Founders with Ryan Estes
He Built 10 AI Companies in 12 Months - With Teams of Five

There’s a problem simmering under the surface of the AI boom that nobody wants to say out loud:


The tech is evolving faster than founders can keep up — and the tools we rely on keep regressing back to kindergarten.


One month Perplexity is brilliant, the next it’s recommending Arby's.
One day GPT is your super-genius co-pilot, the next you’re bottle-feeding it simple math.
And just when you think you finally know which LLM to trust, Gemini 3 launches and resets the entire scoreboard.

Today’s guest has lived inside that chaos — and built a business on top of the turbulence.

I’m talking to Brennan Pothetes, the CEO of Infinity Constellation, the world’s first AI holding company that’s already deployed 10+ companies, raised $17 million, and pushed multiple ventures past $1M ARR in their first year — often with teams of fewer than five people.


In this episode, you’ll learn:

  • Why the tech moat is collapsing — and what replaces it

  • The new math of “good headcount” vs “bad headcount”

  • How to sell outcomes instead of tools

  • Why founder-led distribution is more powerful than ever

  • And what a true AI-first services business actually looks like in the wild

This conversation is for founders building right now — especially if you’re wondering how to keep your edge while AI moves faster than your ability to form an opinion about it.

Let’s get into it.

Please check out our friends at:

https://www.infinityconstellation.com

https://www.notanotherpodcast.co/

https://www.linkedin.com/in/brennanpothetes

https://ambient.us

https://codestory.co

https://warmstart.ai

https://kitcaster.com/application

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1 week ago
1 hour 6 minutes 21 seconds

AI for Founders with Ryan Estes
Agentic AI, Deepfakes and the End of Passwords

In this episode of AI for Founders, Ryan Estes sits down with Jasson Casey, CEO of Beyond Identity, and Josh from Brand Hospitality Group to unpack what happens when AI can convincingly impersonate humans and your passwords are the weakest link in the system. They break down how device-bound, hardware-backed identity can stop AI-enabled adversaries, eliminate most password-based attacks, and give your AI agents their own cryptographic identity. If you are building AI products, securing a growing team, or just tired of MFA fatigue, this conversation shows you how to protect your business while still shipping fast.

You will hear how Beyond Identity uses passkeys, cryptographic keys, and device posture to create unphishable authentication, and how a hospitality operator with non-technical frontline workers is actually deploying it in the real world. The episode also explores agentic AI, why detection-only tools are a losing arms race, and why data provenance, not just content detection, will define the next decade of cybersecurity.


What you will learn

  • How AI-enabled adversaries mimic victims through cloned voices, synthetic identities, and deepfake.s

  • Why detecting fake content is an arms race and why provenance and authorization matter more

  • How device-bound, hardware-backed identity works in practice, using examples like Apple Pay

  • How passkeys and local hardware enclaves eliminate credential movement, the root of most breaches

  • How to give AI agents their own identity, permissions and audit trail so you can prove who was acting

  • How a hotel group uses passkeys to protect line-level staff and reduce MFA friction across brands

  • Why founders should demand modern identity support (SSO, passkeys) from every new vendor they adopt

  • Around 80 percent of security incidents involve stolen or misused credentials, not exotic zero days

  • Credentials that never move and never live in general memory cannot be phished, replayed or leaked in logs

  • AI does not always create new vulnerabilities; it massively scales the impact of the ones you already have

  • Treat AI agents like short-lived employees, give them identity, scope, permissions, and an auditable trail

  • Identity is becoming the real perimeter, and data provenance will be critical as sensors and implants get closer to the body

  • For many organizations, the biggest security win is replacing passwords and fragile MFA flows with hardware-backed passkeys


Resources mentioned

  • Beyond Identity: https://www.beyondidentity.com
  • Stonewood Farm and First Harvest Food Pantry: https://stonewoodny.org/first-harvest-food-pantry
  • America’s VetDogs: https://www.vetdogs.org
  • Safe House Project: https://www.safehouseproject.org
  • OnWatch trafficking detection training: https://www.safehouseproject.org/onwatch

Episode Sponsors

  • ambient.us Your AI Chief of Staff that preps you for every meeting, keeps your team accountable and aligned, and helps you stay on top of key initiatives.
  • codestory.co A podcast featuring founders, tech leaders, CTOs, CEOs and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application Let us schedule your podcast interviews on the world’s top podcasts.

More from AI for Founders

  • aiforfounders.co
  • ryanestes.info
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2 weeks ago
52 minutes 48 seconds

AI for Founders with Ryan Estes
Turn Illiquid Equity Into Real Wealth

Greg Brogger of Collective Liquidity

Guest: Greg Brogger, Founder and CEO of Collective Liquidity


Show: AI for Founders with Ryan Estes

Episode Overview

What do you do when most of your net worth is tied up in one late-stage startup that might never exit?In this episode, Ryan talks with serial fintech founder Greg Brogger about how Collective Liquidity isbuilding an exchange fund designed specifically for private company shareholders. They break down the mathbehind diversification, the risks of concentrated startup equity, and why a tax-efficient liquidity strategyis becoming essential for founders and employees in the modern venture ecosystem.

This conversation is for founders, executives, and early employees at venture-backed companies who want toturn pre IPO shares into long-term wealth without waiting a decade or handing half to taxes.

Key Takeaways

  • The private unicorn market is massive
    Roughly 4 trillion dollars in value is locked up in late stage private companies, yet only a small percentage of that trades in secondary markets each year.
  • Concentrated equity is far riskier than most employees realize
    Greg’s team studied every US Series C round from 2010 to 2015. Only about 38 percent of those companies had created value for employee shareholders ten years later, while a diversified portfolio across the same cohort would have produced roughly a 5x return.
  • What Collective Liquidity does
    Employees and founders of eligible late stage, venture backed companies exchange a portion of their company stock for LP interests in a diversified exchange fund. The structure is designed to be tax free for many shareholders and becomes a foundation for diversification, liquidity lines and advanced wealth planning.

Resources and Links

  • Collective Liquidity: https://www.collectiveliquidity.com
  • AI for Founders: https://aiforfounders.co
  • Ryan Estes: https://ryanestes.info

Episode Sponsors

ambient.us – Your AI Chief of Staff that preps you for every meeting, keeps your team accountable and aligned, and helps you stay on top of key initiatives.

Code Story – A podcast featuring founders, tech leaders, CTOs, CEOs and software architects, reflecting on their human story in creating world changing, disruptive digital products.

warmstart.ai – Build lasting business relationships and stay connected with your network, effortlessly.

kitcaster.com/application – Let us schedule your podcast interviews on the world’s top podcasts.

More from AI for Founders

  • https://aiforfounders.co
  • https://ryanestes.info
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3 weeks ago
56 minutes 54 seconds

AI for Founders with Ryan Estes
Building A Restaurant AI Startup From Zero To 1,000 Customers In A Year

Friday night in a busy restaurant, the phones never stop ringing and up to 40 percent of calls never get answered. Loman AI turns that chaos into captured revenue.

In this episode, Christian Wiens breaks down how Loman AI built a fully conversational voice AI agent that answers every call, takes orders, handles reservations, and plugs directly into restaurant POS systems. No phone trees, no press one for this, just natural conversation and sub 500 millisecond response times.

Christian shares how his team went from an idea in early 2024 to a funded, fast growing restaurant AI platform with around 1,000 paying locations, all while relying heavily on inbound demand, SEO, and customer referrals.

This episode is for founders building AI products, B2B SaaS teams selling into SMB and mid-market, and anyone interested in restaurant technology, phone automation, and high-intent GTM strategies.

https://ambient.us: Your AI Chief of Staff that preps you for every meeting, keeps your team accountable and aligned, and helps you stay on top of key initiatives.
https://codestory.co/?utm_source=newsletterorpodcast&utm_medium=emailorepisode&utm_id=aiforfounders: A podcast featuring founders, tech leaders, CTOs, CEOs, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
https://warmstart.ai: Build lasting business relationships and stay connected with your network, effortlessly.
https://kitcaster.com/application: Let us schedule your podcast interviews on the world’s top podcasts.

More from AI for Founders: https://aiforfounders.co
More from Ryan Estes: https://ryanestes.info

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4 weeks ago
59 minutes 27 seconds

AI for Founders with Ryan Estes
AI Is Rewiring Pregnancy Care: Babyscripts CEO on RPM, Risk, and Real Outcomes

Guest: Anish Sebastian, CEO & Co-Founder, Babyscripts

Host: Ryan Estes

Episode Summary

Maternal mortality is rising in the U.S. while access to care lags. Anish Sebastian explains how Babyscripts uses AI, remote patient monitoring, and data-driven care plans to connect OB providers with patients between visits, cut unnecessary appointments, and surface high-risk events earlier. We dig into clinical validation, cultural and regulatory friction, value-based care incentives, and what an AI-assisted “team of experts” model means for the future of pregnancy care.

Who This Is For

  • Founders and product leaders in digital health
  • Clinicians exploring virtual care
  • Investors focused on outcomes and cost
  • Operators building AI into regulated workflows

Key Takeaways

  • Maternal health crisis in the U.S.: access and incentives drive outcomes
  • Pregnancy RPM: blood pressure, weight, glucose, symptoms, SDOH, mood screens
  • Two adoption waves: telemedicine/remote care → AI for documentation and prediction
  • B2B2C: sell to providers, prescribe to patients; workflow-first design
  • Validation before scale: studies, workflow fit, and minimizing liability signal fatigue
  • Value-based care rewards prevention and continuous monitoring
  • AI’s first impact: admin automation (notes, coding, billing), then predictive risk
  • Engagement model: task-oriented app—optimize for doing, not scrolling
  • Future: AI agents triage continuous data, escalate to humans, close the loop
  • North star: earlier risk detection, fewer adverse events, more patient agency

Frameworks

Adoption Waves

  1. Telemedicine + Remote Monitoring (COVID acceleration)
  2. AI/LLMs for documentation → predictive risk → agentic care

Care Delivery Loop

  1. Collect → Detect → Notify → Intervene

Engagement Design

  • Weekly education, specific tasks, quick biometrics
  • Short sessions, provider-connected feedback

Incentive Alignment

  • Fee-for-service vs. value-based care

Future Model

  • Team of experts on demand + AI triage agents

Resources

  • Babyscripts
  • Babyscripts — About
  • March of Dimes


Episode

  • ambient.us — Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co — A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai — Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application — Let us schedule your podcast interviews on the world’s top podcasts.


More from us: aiforfounders.co | ryanestes.info

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1 month ago
59 minutes 22 seconds

AI for Founders with Ryan Estes
AI storytelling for families

Guest: Ricardo Vice Santos, CEO and co-founder of DreamStories.ai

Topic: Agentic content studio, personalized children’s books, character-consistent AI imagery, subscriber-style publishing economics

Episode Overview

How DreamStories.ai turns kids into the hero of their own beautifully illustrated adventure. Ricardo explains the “agentic content studio” model, why he started with physical books, how he achieves character consistency at scale, and the unit economics behind paid acquisition and repeat purchase behavior.

Time-Saving Highlights

  • DreamStories.ai basics: Upload photos → AI creates a consistent main character → choose a template → get a printed book
  • Why books first: proven category, premium willingness to pay, repeatable nightly ritual, durable margins
  • “Intimacy at scale”: personalization that feels one-of-one, delivered with production reliability
  • Team and traction: lean engineering-heavy team, strong repeat purchase behavior, moving toward broader creative tools
  • Market approach: US-first, added non-Latin scripts to expand globally
  • Paid growth reality: Facebook as the steady workhorse, ROAS math, and the path from novelty to service

Key Takeaways (Founder-Focused)

  • Personalization moat: Character consistency is hard; solving it is a defensible advantage
  • Service over one-off product: Episodic books drive retention and higher LTV
  • Physical-first strategy: Consumers expect digital to be free; physical goods sustain CAC and margins
  • Distribution truth: Paid acquisition is an auction—win by superior LTV and repeat behavior
  • Taste matters: Make the creation flow enjoyable for parents, not just the final artifact for kids

Ricardo’s Playbooks and Frameworks

1) Agentic Content Studio Framework

  • Input: photos + light preferences
  • Orchestration: model mix (open-source + proprietary) for character consistency
  • Output: stylized, on-brand illustrations across pages
  • Feedback: human-in-the-loop edits and text control
  • Scale: “Infinite content” goal with guardrails

2) Intimacy-at-Scale Loop

  • Personal artifact → nightly family ritual → social proof at school and with relatives → referrals and repeat gifts → episodic upsell

3) Retention Through Episodes

  • Series structure rather than one-off novelty
  • Age-aware prompts and evolving language difficulty
  • Seasonal and milestone triggers (birthdays, holidays, grade changes)

4) Paid Media Unit Economics

  • Expect CAC ≈ AOV at the start
  • Unlock winning bids via higher LTV (repeat, bundles, subscriptions)
  • Use episodic content to justify continuous repurchase

5) Brand-Safe Personalization Guardrails

  • Restrict IP where necessary
  • Style and conduct policies for cameos and co-characters
  • Human review points for edge cases

Resources and Links

  • DreamStories.ai: https://dreamstories.ai
  • Ricardo Vice Santos on LinkedIn: search LinkedIn for “Ricardo Vice Santos”
  • The NeverEnding Story (reference)
  • Choose Your Own Adventure series (reference)
  • WILD Foundation: https://wild.org

Episode Sponsors

  • ambient.us — Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co — A podcast featuring founders, tech leaders, CTOs, CEOs, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai — Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application — Let us schedule your podcast interviews on the world’s top podcasts.

More from the Host

  • Newsletter: https://aiforfounders.co
  • Ryan: https://ryanestes.info
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1 month ago
59 minutes 2 seconds

AI for Founders with Ryan Estes
Reddit SEO for AI Search: How to Win ChatGPT Recommendations

AI for Founders — Danny Kirk (ReddiReach) Show Notes

Episode summary

Reddit has become a prime source for AI training data and AI search results. Founder Danny Kirk explains how ReddiReach helps 7–10 figure brands win inside AI search by using Reddit the right way. We break down why comments beat posts, how AI search is changing SEO, and what brands should do now to capture demand from LLM recommendations.

Who this is for

Founders, CMOs, growth leaders, e-commerce operators, and SEO pros who want practical playbooks for AI search, Reddit marketing, and LLM-driven discovery.

What you’ll learn

  • How Reddit influences LLM answers and “AI search” visibility
  • Why comment-first strategies outperform posts and ads
  • Brand-safety and compliance on subreddit rules
  • Timelines and expectations for compounding results
  • Pricing and capacity realities for a lean, profitable agency
  • The bear case and risk controls for Reddit-dependence
  • How LLM Buy Now flows and Shopify could change conversion paths

Key takeaways

  • AI search is redefining classic SEO for many queries.
  • Comments are the signal LLMs rely on; quality compounds.
  • Play the long game; this era resembles early SEO.
  • Each subreddit’s rules determine removal or reach.
  • Organic first; posts and ads have different risk/return.
  • Small expert teams can outperform with tight systems.
  • Hedge platform risk; diversify discovery sources.

Frameworks discussed

  1. Reddit Marketing Buckets: Ads, AMAs, Posts, Comments
  2. Comment-First Operating Rules: genuine, helpful, accurate, truthful; help first, brand second; evergreen utility
  3. AI Search Strategy Stack: credible Reddit presence → identify LLM-cited queries → high-quality comments → monitor AI search intel
  4. Brand-Safety Protocol: platform + subreddit rules, native tone, account warm-up and karma
  5. Long-Term Compounding: durable comment assets over volume

Notable numbers

  • ~47 brands served by a ~5-person team
  • ~1 high-quality comment/day (~20 per month)
  • Starting around $1,500–$2,000/month
  • 500+ companies helped across the founder’s career

Resources and links

  • ReddiReach
  • AI Search Intel (Peekaboo)
  • Danny Kirk (LinkedIn)
  • Reddit
  • Ryan Estes
  • AI for Founders

Episode Sponsors

  • ambient.us — Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co — A podcast featuring founders, tech leaders, CTOs, CEOs, and software architects reflecting on their human story in creating world-changing, disruptive digital products.
  • warmstart.ai — Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application — Let us schedule your podcast interviews on the world’s top podcasts.

More from the host

  • AI for Founders
  • ryanestes.info
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1 month ago
52 minutes 51 seconds

AI for Founders with Ryan Estes
Plugging AI Into Production: How MyOp Lets Non-Developers Ship UI Safely


Guest: Keren Fanan, Co-Founder & CEO, MyOp.dev
Topic: Plugging AI-generated UI into production without breaking your core app

Episode overview

AI can now generate front ends and UX logic in minutes, but most teams still cannot ship that code safely. Keren explains how MyOp’s pluggable layer lets non-developers ship UI in isolation while engineering protects the core, enabling faster experiments, A/B tests, and personalization in live apps.

What you will learn

  • How to connect AI-generated components to real products without redeploys
  • The separation-of-responsibilities model for product, design, and engineering
  • How to run safe experiments, staged rollouts, and A/B tests in production
  • Why front-end roles are changing and how non-developers can ship code
  • How to stand up design-partner programs and early customer workshops
  • Seed-stage tactics: pricing, usage metrics, and adoption inside mature orgs

Key takeaways

  • Pluggable isolation: MyOp keeps AI-generated UI and front-end logic isolated from core code so the product remains stable and secure while experiments move fast.
  • Non-dev empowerment: Product managers, designers, and growth teams can ship user-facing components safely; engineering owns core logic, data, and integrations.
  • Faster learning loops: Teams can ship, segment, and roll out UI changes to real users, then iterate based on measurable results.
  • Change management is the work: Success requires explicit ownership, QA gates, and trust building between product and engineering.
  • Pricing follows value: Usage-based subscription aligns cost to shipped components and measurable outcomes.
  • Career shift: A large portion of traditional front-end work moves to “citizen developers,” pushing engineers deeper into core systems or toward product.
  • Women in AI leadership: Action steps to widen participation and turn AI fluency into new leadership paths.

Frameworks and operating models

MyOp Architecture

  • Open source SDK inside the host app to define a safe “contract” to the core
  • Management hub for pasting AI-generated code, QA, segmentation, A/B tests, version history, and gradual rollouts

Separation of Responsibilities

  • Engineering: core domain logic, data models, integrations, stability, security
  • Product/Design/Growth: UI components, micro-interactions, experiments, and personalization via AI tools

Experiment-to-Production Pipeline

  1. Generate component with AI tool of choice
  2. Plug into MyOp management hub
  3. QA segment → beta segment → broader rollout
  4. Measure, iterate, and sync to Git as needed

Adoption Playbook

  • Lead with live demos built by non-developers
  • Run hands-on internal workshops to teach “vibe coding” for real app components
  • Use design partners to validate value and prove speed-to-impact

Pricing and Metrics

  • Usage-based subscription tied to shipped components and real outcomes

Fast stats

  • Founded: 2024
  • Team size: ~10
  • Capital raised: ~$2M seed
  • HQ: Tel Aviv, operating globally
  • Focus: UI/UX in production, experiments, segmentation, A/B testing, and rollouts

Resources mentioned

  • MyOp.dev: https://myop.dev
  • Keren on LinkedIn: https://www.linkedin.com
  • Women in Tech Israel: https://www.women-in-tech.org


Episode Sponsors

  • ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co - A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application - Let us schedule your podcast interviews on the world’s top podcasts.

More from AI for Founders: https://aiforfounders.co
About Ryan: https://ryanestes.info

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1 month ago
57 minutes 55 seconds

AI for Founders with Ryan Estes
Early warning for neurology and mental health with voice AI

Henry O’Connell, CEO of Canary Speech

— Voice Biomarkers, and Real-Time Clinical Support

Summary

Canary Speech turns everyday conversation into clinical-grade insight. Henry O’Connell explains how ambient listening analyzes 2,590 vocal biomarkers every 10 milliseconds to produce about 16 million data points per minute. The system returns real-time scores for anxiety, depression, cognitive health, Parkinson’s, multiple sclerosis, and more without interrupting the doctor–patient relationship. We cover continuous monitoring, aggression detection for nurse safety, patents and IP strategy, data security, deployment across devices, and how ambient AI moves healthcare beyond chat.


Key Takeaways

  • Voice is a rich biometric after DNA and can signal mental and neurological conditions through vocal biomarkers.
  • Ambient listening integrates into clinical workflows without test-taking or friction.
  • Canary analyzes 2,590 features every 10 milliseconds for roughly 16 million data elements per minute.
  • Real-time clinical decision support returns multi-condition scores to physician devices.
  • Device-agnostic capture works via phones, tablets, telehealth, call centers, and wearables.
  • New continuous monitoring flags risk in rooms and can measure aggression levels to protect nurses.
  • Canary reports 14 issued patents with 12 pending and approximately $26M raised.
  • Data security aligns with hospital-grade standards and ISO certifications.
  • Primary care becomes a force multiplier with earlier referrals and standardized objective metrics.
  • Longitudinal deltas compare a patient’s voice across visits to track change over time.


Who This Episode Is For

  • Founders in AI, digital health, and human–computer interaction
  • Clinical leaders evaluating ambient AI and decision support
  • Product and data teams shipping voice and real-time ML at scale
  • Investors tracking voice biomarkers and healthcare AI infrastructure


Frameworks Discussed


Ambient AI Pipeline

  1. Permissioned audio capture in natural conversation
  2. Speaker separation, sample quality checks, feature extraction
  3. ML models for condition-specific scoring in near real time
  4. Delivery into clinical workflows and notes platforms


Clinical Decision Support Loop

  1. Objective voice-based scores
  2. Physician interpretation and next best question
  3. Referral decision and follow-up
  4. Longitudinal tracking across visits


Longitudinal Delta Method


Compare patient voice features across time to quantify change and trend risk.


Safety and Operations Layer


Aggression detection with green yellow red indicators to reduce nurse assaults and burnout.


Compliance and Trust Stack


Hospital-level security posture, ISO certifications, integration with existing transcription and EHR workflows.


IP and Defensibility


Patents for voice biomarker detection, ambient AI methods, longitudinal comparison, and LLM fusion.


Notable Numbers

  • 2,590 vocal biomarkers analyzed every 10 milliseconds
  • About 15.5 to 16 million data elements per minute of speech
  • Real-time scores returned during normal clinical conversations
  • 14 issued patents and 12 pending reported in the conversation
  • Approximately $26M raised to date reported in the conversation


Resources

  • Canary Speech
  • Henry O’Connell on LinkedIn
  • Henry@canaryspeech.com


Episode Sponsors

  • ambient.us — Your AI Chief of Staff that preps you for every meeting, keeps your team accountable and aligned, and helps you stay on top of key initiatives.
  • codestory.co — A podcast featuring founders, tech leaders, CTOs, CEOs, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai — Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application — Let us schedule your podcast interviews on the world’s top podcasts.


More from Ryan

  • aiforfounders.co
  • ryanestes.info
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1 month ago
1 hour 2 minutes 42 seconds

AI for Founders with Ryan Estes
Building a Gen Z Art Platform without the Algorithm Trap: Devika Sarin of Soal

AI for Founders

Guest: Devika Sarin, Founder of Soal (thisissoal.com)

Topic: AI-powered art discovery, taste mapping, and community-driven curation for Millennials and Gen Z

Episode Overview

Soal is building a daily ritual for art discovery that blends human curation with behavioral science and AI. Devika shares how the app helps users learn to see, name, and evolve their taste, why early community building beats early monetization, and how contemporary artists can thrive without chasing algorithms.

What You Will Learn

  • How AI recommendation engines and human curation work together for art discovery
  • Practical ways to map and refine user taste using behavioral signals
  • Community-first product strategy for consumer apps
  • How to monetize through prints and partnerships without ads
  • Why contextual education increases engagement and purchase intent

Key Takeaways

  • Start with human-led curation, then scale with algorithms for relevance
  • Build community and context before introducing transactions
  • Treat art discovery like music discovery to create daily habit loops
  • Prints create an accessible on-ramp to collecting and supporting artists
  • Ethical guardrails matter for recommendation systems that shape culture

Frameworks Discussed

1) Discover → Learn → Engage → Support

  • Discover: Daily set of artworks personalized to emerging taste
  • Learn: Lightweight education that meets users where they are
  • Engage: Conversations, context, and deeper rabbit holes
  • Support: Clear paths to shows, prints, and artist patronage

2) Human First → Algorithm Next

  • Phase 1: Curators define quality, tone, and standards
  • Phase 2: AI scales relevance and serendipity within those guardrails

3) Community Before Monetization

  • Audience building and taste education
  • Trust and retention metrics
  • Introduce revenue via prints and aligned partners

4) Taste Mapping Signals

  • Visual preferences over time
  • Session depth and dwell on context
  • Revisit behavior and save lists
  • Artist and genre adjacency graphs


Who This Episode Is For

Founders building consumer AI or marketplaces, product leaders designing recommendation engines, community builders, and creators exploring ethical and effective ways to scale human taste with technology.


Resources and Links

  • Soal: thisissoal.com
  • Join the Soal waitlist and newsletter on site


Episode Sponsors

  • ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co - A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application - Let us schedule your podcast interviews on the world’s top podcasts.

Also visit: aiforfounders.co and ryanestes.info

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1 month ago
55 minutes 18 seconds

AI for Founders with Ryan Estes
Founder’s guide to 10x visibility

AI for Founders with Dave Polykoff, Founder of Zenpost

Episode Summary

In this episode of AI for Founders, Ryan Estes sits down with Dave Polykoff, the founder of Zenpost — a content engine helping founders, consultants, and service providers turn one video shoot into a month of high-converting content. Dave breaks down how he built Zenpost into a systemized growth machine that scales personal brands, the frameworks behind consistent visibility, and how AI is transforming content creation at speed and scale.

If you’re a founder or marketer looking to grow your brand, streamline your content pipeline, and actually generate leads from what you post — this episode is your roadmap.

Key Takeaways

  • One Shoot, One Month of Content: Zenpost’s batching framework turns a single recording session into 30+ assets across channels.
  • Content as a Growth Engine: How to 10x visibility while reducing creation time.
  • The Founder’s Flywheel: Consistency, Authenticity, and Distribution working together to build authority.
  • AI in Content Operations: Automating editing without losing the human touch.
  • Scaling Systems: Why structure beats spontaneity when building personal brands.

Frameworks Discussed

The Zenpost Engine

  • Record once → Repurpose everywhere.
  • Break long-form into micro-moments.
  • Match tone to platform, not persona.
  • Automate the scheduling, not the storytelling.

The Consistency Equation

Frequency x Quality x Distribution = Reach

The Founder Visibility Loop

Create → Publish → Engage → Measure → Refine → Repeat weekly.

Resources & Links

  • Zenpost
  • Follow Dave Polykoff
  • Follow Ryan Estes
  • Subscribe to the AI for Founders newsletter

Sponsors

The sponsors of this episode are the most beautiful people on planet earth. See for yourself:

  • ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co - A podcast featuring founders, tech leaders, CTOs, CEOs, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application - Let us schedule your podcast interviews on the world’s top podcasts.

Connect

  • Learn more
  • Host: Ryan Estes
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1 month ago
49 minutes 11 seconds

AI for Founders with Ryan Estes
AI Comment Moderation, Brand Safety, and Viral Conversions: Stanify.ai’s Playbook

AI for Founders — Show Notes

Guest: Hank Leber, cofounder of Stanify.ai
Topic: Turning the comment section into conversions with multilingual, human-in-the-loop AI

Episode Summary

Hank Leber breaks down how Stanify.ai automates brand-safe engagement in social comment sections and DMs at scale. We cover auto-moderation that preserves healthy debate, multilingual on-brand replies, a human-in-the-loop workflow, and why smart Q&A in comments now powers answer-engine optimization for LLMs. If you run paid social, manage community at scale, or need brand-safe engagement across languages, this playbook shows how to capture viral moments instead of missing them.

Key Takeaways

  • Comment sections are revenue surfaces: Real-time replies in comments increase conversion, reduce CAC, and protect ad spend.
  • Human-in-the-loop wins today: Let AI draft 99% of replies while humans approve the nuanced 1% that defines brand voice.
  • Moderate without sanitizing: Hide true hate or harassment and escalate the rest so healthy debate and authenticity remain.
  • Multilingual at native quality: Replies mirror language and script automatically, including mixed-language comments.
  • LLM routing > single-model bias: Use different models for different jobs (safety, slang, product knowledge).
  • Answer Engine Optimization (AEO): High-quality Q&A in comments is becoming training fuel for LLM recommendations.
  • Viral windows are short: Engagement must land during the spike; retroactive replies miss most of the lift.
  • Protect paid social: Automated moderation on ad comments preserves ROAS and brand equity at scale.
  • Enterprise to SMB: The same workflows power Fortune 100 portfolios and Shopify merchants.
  • AI as data engine: The real endgame is structured insights from conversations, not just faster replies.

Frameworks Mentioned

  1. CommentOps Flywheel: Listen → Detect intent → Draft reply → Human approve/skip → Post → Capture signals → Improve playbooks.
  2. Safety Ladder: Classify → Hide where appropriate → Escalate → Public reply or DM → Record resolution.
  3. Human-in-the-Loop Guardrails: AI drafts → Brand-voice constraints → Reviewer approves/edits/skips → Continuous tuning.
  4. Multi-LLM Router: Choose best model per task (slang, safety, product knowledge, multilingual response).
  5. AEO Playbook: Identify recurring questions → Seed precise answers in comments → Capture long-tail intent.
  6. Viral Wave Tactics: Detect spike → Throttle replies → Prioritize high-intent threads → Convert during window.
  7. Paid Social ROAS Shield: Auto-hide toxic ad comments → Answer purchase blockers fast → Measure CTR/CPC/CPA lift.

Who This Episode Is For

Founders, CMOs, growth and community leads, performance marketers, and creators who need scalable, brand-safe engagement, especially teams running paid social or managing global communities.

Resources & Links

  • Stanify.ai (book a demo): https://stanify.ai/
  • Hank on X: https://x.com/HankLeber

Sponsors
ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
codestory.co - A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.
kitcaster.com/application - Let us schedule your podcast interviews on the world’s top podcasts.

Links: aiforfounders.co | ryanestes.info

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1 month ago
44 minutes 23 seconds

AI for Founders with Ryan Estes
Drew Falkman builds products at the speed of thought

AI for Founders – Guest: Drew Falkman

Summary

In this episode of AI for Founders, Ryan Estes talks with Drew Falkman, a veteran product strategist and AI coach who’s been building digital products for more than two decades. Drew has worked with major brands like HP, Adobe, AARP, and American Airlines, and today he’s leading the charge in AI product acceleration—helping founders build and test products faster than ever before using tools like Lovable, Magic Patterns, and Strella.

This conversation explores the evolution of vibe coding, agentic coding, and generative UI, and how these innovations are collapsing the gap between an idea and a finished, functional app. Whether you’re a product designer, founder, or creative experimenting with AI, this episode reveals how to go from zero to prototype in days—and how the rise of AI-driven interfaces could completely reshape the SaaS industry.

Key Takeaways

  • From Web 1 to Web 3 to AI: Drew started in the early days of the internet, ran a web agency, consulted for Fortune 500 companies, and now builds AI tools that democratize product creation.
  • The Power of Vibe Coding: Tools like Lovable and Cursor let founders and creators build working prototypes in hours, not months.
  • Agentic Coding: AI agents can now “clean up” code, debug, and iterate, turning early vibe-coded prototypes into stable products.
  • Generative UI: Drew predicts the rise of AI that builds user interfaces in real time based on each user’s needs—an entirely new product paradigm.
  • Rapid Validation: Using Magic Patterns and Strella, founders can now design, prototype, recruit testers, and analyze feedback in a single week.
  • The End of SaaS as We Know It: Drew believes the future will favor self-built tools tailored to each founder’s exact workflow, with SaaS companies providing modular backends instead of full platforms.
  • Creative Founders Win: Liberal arts thinking—creativity, adaptability, and critical reasoning—will dominate in the age of AI-driven creation.
  • Personalized Media: The conversation explores the coming shift toward personalized films, entertainment, and storytelling, where AI adapts stories to each individual viewer.

Frameworks & Concepts

  1. Vibe Coding Workflow: Start with a written idea → Generate working prototype → Test with AI user tools → Ship version one.
  2. Generative UI Framework: Understand user context → Auto-generate interface → Iterate in real time → Personalize UX per user.
  3. Rapid AI Validation Stack: Magic Patterns for front-end prototyping, Strella for AI user interviews and analytics, Lovable for functional MVPs.
  4. Founder-Build Model: Build tools alongside your audience, test for engagement before monetization, then layer backend and payments once validated.

Resources

  • Magic Patterns
  • Strella
  • Lovable
  • AI Product Accelerator

Sponsors

The sponsors of this episode are the most beautiful people on planet earth. See for yourself:

  • ambient.us - Your AI Chief of Staff that preps you for every meeting, keeps your team accountable & aligned, and helps you stay on top of key initiatives.
  • codestory.co - A podcast featuring founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing, disruptive digital products.
  • warmstart.ai - Build lasting business relationships and stay connected with your network, effortlessly.
  • kitcaster.com/application - Let us schedule your podcast interviews on the world’s top podcasts.

More from AI for Founders

Visit aiforfounders.co for new episodes, tools, and insights.

Connect with Ryan at ryanestes.info

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1 month ago
39 minutes 43 seconds

AI for Founders with Ryan Estes
Building an AI Chief of Staff: Ambient by Lawrence Coburn

Show Notes: Lawrence Coburn, CEO & Co-founder of Ambient

Serial founder Lawrence Coburn (DoubleDutch, Twine) returns with Ambient, an AI Chief of Staff that helps founders and CEOs reclaim time and upgrade decision quality. After interviewing 400 Chiefs of Staff, Ambient focuses on three high-leverage workflows: daily prep dossiers, secure leadership meeting notes, and red/yellow/green tracking on make-or-break initiatives. We cover the CoS vs EA vs AI division of labor, why “push not pull” is the future UX, and how calendar-anchored intelligence powers fundraising and execution.

Key Takeaways

  • AI Chief of Staff is a role, not a feature: Ambient targets the Office of the CEO with purpose-built workflows.
  • Three core workflows: Daily Prep dossiers, secure leadership notes, and red/yellow/green initiative tracking.
  • Push, not pull: Deliver insights to inbox and calendar instead of adding another dashboard.
  • Decision quality over volume: Raise the bar beyond “directionally correct.”
  • CoS vs EA vs AI agent: Different horizons; all improve with fuller context access.
  • Throughput goal: Realistic CEO ceiling ~1.8x with AI augmentation.
  • Fundraising Mode: Investor-ready dossiers with icebreakers, similar investments, red flags, and mutuals.
  • No easy moats in gen-AI: ICP focus and deep workflow ownership create the edge.
  • Founder wellness: Exercise, sleep, and family time support better decisions.

Frameworks

1) Office of the CEO OS (CoS–EA–AI)

  • EA (Day-to-day): Calendar, inbox, travel, near-term logistics
  • Chief of Staff (Strategic): Planning, investor/board prep, cross-functional execution
  • AI Agent (Context Amplifier): Aggregates calendar, transcripts, Slack, email; summarizes, flags risk, recommends next steps

2) Ambient’s Three-Workflow Stack

  • Daily Prep: Auto dossiers for each calendar event
  • Rhythm of Business Notes: Secure capture, action items, ownership, alignment detection
  • R/Y/G Initiatives: Proactive status on the few company-critical projects

3) Push UX Principle

  • Deliver outputs to the inbox and calendar
  • Minimize new tools and logins
  • Let insights find the executive

4) Decision Quality Ladder

  1. Directionally correct
  2. Context complete
  3. Option-space explored
  4. Explicit tradeoffs
  5. Chosen action with owner and follow-ups

5) Pricing Mindset for AI Ops

  • Bias to simplicity at early stage
  • Explore outcome/usage components later without adding anxiety or hidden complexity

Resources & Links

  • Ambient (AI Chief of Staff)
  • Lawrence Coburn (LinkedIn)
  • Lawrence Coburn (X/Twitter)
  • Girls on the Run Rockies

Connect

  • Subscribe to AI for Founders
  • About Ryan Estes

Sponsors

The sponsors of this episode are the most beautiful people on planet earth. See for yourself:

  • ambient.us
  • codestory.co
  • warmstart.ai
  • kitcaster.com
Show more...
1 month ago
58 minutes 24 seconds

AI for Founders with Ryan Estes
AI for Founders is where 27,000+ founders learn to build and scale with AI. Hosted by Ryan Estes, the show breaks down real strategies from top operators and AI founders. AI-ready data, zero-dependency workflows, founder-led distribution, and the tools driving revenue for today’s fastest-growing companies. If you’re a technical or non-technical founder who wants to work smarter, scale faster, and stay competitive, this podcast is your weekly unfair advantage.