Podcasts about CTO

It's YOUR time to #EdUpIn this episode, part of our Academic Integrity Series, sponsored by Pangram Labs,YOUR guest is Dr. Adam D. Garland, Dean of Student Affairs, Ensign CollegeYOUR cohost is Bradley Emi , Cofounder & CTO, Pangram LabsYOUR host is Elvin FreytesHow does Dr. Garland define academic integrity & why does he see character development as integral to a student's journey?What makes Ensign College's faith-based approach to academic integrity unique & how does their mission to develop "trusted disciples" shape their policies?How is the college proactively embracing generative AI tools while maintaining academic standards & preparing students for the future workforce?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠● Join YOUR EdUp community at The EdUp ExperienceWe make education YOUR business!P.S. Support the podcast trusted by higher ed leaders. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.com

Parag Agrawal is the co-founder and CEO of Parallel, a startup building search infrastructure for the web's second user: AIs. Before launching Parallel, Parag spent over a decade at Twitter, where he served as CTO and later CEO during a period of intense transformation, as well as public scrutiny. In this episode, Parag shares what he learned from his time at Twitter, why the web must evolve to serve AI at massive scale, how Parallel is tackling “deep research” challenges by prioritizing accuracy over speed, and the design choices that make their APIs uniquely agent-friendly. We also discuss: Why Parallel designs for AI as the primary customer Lessons from 11 years at Twitter and applying them to a startup Potential business models to keep the web open for AI Hiring philosophy: balancing high potential and experienced talent The evolving role of engineers in an AI-assisted world Why “agents” are finally becoming useful in production And much more… References: Bloomberg launch coverage: https://www.bloomberg.com/news/articles/2025-08-14/twitter-ex-ceo-parag-agrawal-is-moving-past-his-elon-musk-drama Clay: https://www.clay.com/ Index Ventures: https://www.indexventures.com/ Josh Kopelman: https://www.linkedin.com/in/jkopelman/ KLA: https://www.kla.com/ OpenAI: https://openai.com/ Parallel: https://parallel.ai/ Patrick Collison: https://www.linkedin.com/in/patrickcollison/ Stripe: https://stripe.com/ Where to find Parag: LinkedIn: https://www.linkedin.com/in/paragagr/ X/Twitter: https://x.com/paraga Where to find Todd: LinkedIn: https://www.linkedin.com/in/toddj0/ X/Twitter: https://x.com/tjack Where to find First Round Capital: Website: https://firstround.com/ First Round Review: https://review.firstround.com/ X/Twitter: https://twitter.com/firstround YouTube: https://www.youtube.com/@FirstRoundCapital This podcast on all platforms: https://review.firstround.com/podcast Timestamps: (1:26) Founding Parallel with an AI-first mission (3:23) From Twitter CTO/CEO to startup founder (6:20) What the AI era spells for companies (7:58) The CEO to founder pipeline (11:18) Reflections on Twitter's transformation (17:48) How Parallel was born (22:31) Early use cases for Parallel (31:42) How has Parallel's ICP changed? (34:37) AI's impact on competitor dynamics (36:06) When should founders launch? (37:43) Parag's fundraising framework (40:14) Building a high-impact engineering team (44:49) Counterproductive uses of AI (47:35) How will the software engineer role evolve? (49:10) How are Parallel's customers using AI? (53:27) Defining agents in 2025 (55:02) Parallel's long-term vision (1:03:43) Parag's growth as a founder

Maximilian Pace, CTO of BlockTrust IRA, discusses the future of cryptocurrency and its role in shaping the new economy, highlighting the powerful technology driving it, especially as artificial intelligence continues to surge. He explains why Bitcoin remains the greatest appreciating asset of all time, how it opens doors to entirely new markets, and why President Trump's push for and backing of crypto could accelerate mainstream adoption. Visit stevegrubercrypto.com and get up to $2,500 in bonus crypto when you sign up now!

In the movies, Tony Stark's JARVIS is the ultimate AI assistant, managing schedules, running simulations, controlling environments, and anticipating needs before they are voiced. In reality, today's AI agents are still far from that vision. Despite 2025 being heralded as the year of agentic AI, the first offerings from major players have been underwhelming. They can perform tasks, but they remain a long way from the seamless, hyper-intelligent assistants we imagined. In this episode, Dr. Robert “Bobby” Blumofe, CTO at Akamai Technologies, joins me to explore what is really holding AI assistants back and what it will take to build one as capable as a top human executive assistant. Bobby argues that the leap forward will not come from chasing ever-larger models but from optimization, efficiency, and integrating AI with the right tools, infrastructure, and processes. He believes that breakthroughs in model efficiency, like those seen in DeepSeek, could make capable agents affordable and viable for everyday use. We break down the spectrum of AI agents from simple, task-specific helpers to the fully autonomous, general-purpose vision of JARVIS. Bobby shares why many of the most valuable enterprise applications will come from the middle ground, where agents are semi-autonomous, task-focused, and integrated with other systems for reliability. He also explains why smaller, specialized models often outperform “ask me anything” LLMs for specific business use cases, reducing cost, latency, and security risks. The conversation covers Akamai's role in enabling low-latency, scalable AI at the edge, the importance of combining neural and symbolic AI to achieve reliable reasoning and planning, and a realistic five-to-seven-year timeline for assistants that can rival the best human EAs. We also look at the technical, social, and business challenges ahead, from over-reliance on LLMs to the ethics of deploying highly capable agents at scale. This is a grounded, forward-looking discussion on the future of AI assistants, where they are today, why they have fallen short, and the practical steps needed to turn fiction into reality.

In this episode of Supply Chain Now, Scott Luton sits down with Bryan Wright, CTO and COO at G10 Fulfillment, and Cody Upp, Head of Marketing, Sales and Solutions at Zebra Robotics Automation, to explore how next-generation automation is reshaping third-party logistics.Bryan shares G10's journey to finding the right automation partner to boost labor efficiency, accuracy, and growth while maintaining cost control and training flexibility. Cody explains Zebra's modular AMR (autonomous mobile robot) system—designed with operators in mind—that reduces variable cost per unit, maximizes utilization, and supports multiple workflows from picking to replenishment. Together, they break down why decoupling carts from robots isn't just innovative, it's transformative.Jump into the conversation:(00:00) Intro(01:54) Meet Bryan and Cody(04:36) Diving into G10 Fulfillment and Zebra Robotics(07:46) Operational challenges and automation solutions(12:23) The power of detaching carts from robots(21:49) Future prospects and continuous improvement(25:41) Commitment to success and incentive structures(26:27) Continuous improvement and utilization goals(27:30) Entrepreneurial mindset at Zebra(28:28) Strategic differentiation with technology(31:30) Client feedback and future roadmap(35:13) The role of automation in the future(40:10) Advice for 3PL executivesResources:Connect with Cody Upp: https://www.linkedin.com/in/cody-upp/ Connect with Bryan Wright: https://www.linkedin.com/in/bryan-wright-7622499/ Learn more about Zebra Technologies: https://www.zebra.com/ Learn more about G10 Fulfillment: https://g10fulfillment.com/ Check out Zebra Order Fulfillment Solutions:   https://www.zebra.com/fulfillment Check out Automation: Your Strategic Advantage: https://bit.ly/4fdKrA6 Check out Zebra on The New Warehouse Podcast: https://bit.ly/4lOofPf Connect with Scott Luton: https://www.linkedin.com/in/scottwindonluton/Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit:

As brands grow more digital, the threats grow more personal. Attackers impersonate executives, spin up fake websites, and leak sensitive data — hurting business reputations and breaking customer trust. How do you defend your organization's reputation and customers' trust? Santosh Nair, Co-Founder and CTO at Styx Intelligence, joins Business Security Weekly to discuss how to defend trust and reputation in the age of AI. Santosh will cover both the company and executive challenges of defending against the latest AI attacks, including: Impersonations and Deepfakes Employee Scams Financial Fraud Segment Resources: - https://styxintel.com/blog/what-is-brand-protection/ - https://styxintel.com/blog/brand-impersonation-hurts-business/ - https://styxintel.com/blog/social-engineering-tactics/ In the leadership and communications section, Mind the overconfidence gap: CISOs and staff don't see eye to eye on security posture, Your AI Strategy Needs More Than a Single Leader, Avoid These Communication Breakdowns When Launching Strategic Initiatives, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-408

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   SAP's $1.5 Billion Bet on AI, Q&A (Darian Chwialkowski, Third Stage Consulting) Inside a Real World SAP Implementation (Justin Rauner, CTO at Kiewit) Shocking Whistleblower Claims about S/4HANA   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Chris and Corey are joined by Blackpearl Group's CTO, Sam Daish. In this episode, he's dousing us with the reality of why most sales AI tools are basically expensive cat toys. Blackpearl has built Bebop.AI, a tool that makes sense as an addition to a sales pro's tech stack. It could probably replace several nonsensical shiny AI  tools they are currently batting around instead of making calls. Corey's firing questions about AI fatigue (because let's face it, we all have it), while Chris goes full mathematician on us with this brutal insight: sales reps are like cats chasing laser pointers with AI. Lots of movement, lots of fascination, but nobody's actually catching anything. You may wonder how this fits in with BeBop.ai. It will make more sense after you hear the origin story - they almost called it "Hot Pipe" until someone pointed out the, uh, alternative interpretations. Instead, they went with a full bebop jazz vibe in the function and tone because they wanted sales to feel like improvisation, not a pile of dated rigid playbooks. As the real kicker, Chris breaks down why most AI implementations fail: false negatives. You're not just calling the wrong people - you're missing the right ones entirely. And Sam's nodding along because BebopAI tackles this by making the entire Internet your database instead of some limited proprietary dataset. The feature that gets reps most excited? Not the fancy prospect data. It's the objection handling. Turns out confidence beats information every time. Join us for this episode, “The Laser Pointer Problem: Why your reps are chasing AI like distracted cats .” Action Items Suggested in This Episode: For Sales Leaders/CROs Audit your AI strategy focus - Are you trying to bring bottom performers up, or amplify your top performers? Chris argues the latter delivers exponentially better ROI Identify your "Jonti McLarens" - Find your top performers and give them 10% more time/better tools (equivalent to adding 10 middle-tier reps) Evaluate your current AI tools - Are they creating "laser pointer cat" behavior or getting reps to more conversations? For Sales Reps Test BeBop.ai's's dossier approach, with a special focus on the objection handling feature that receives the most positive feedback. Use AI for discovery prep, not avoidance - Read dossiers in the minutes before scheduled meetings when memory retention is highest. Ask "why" to AI responses - Sam emphasizes this helps uncover hallucinations and improves reasoning. For Sales Operations/Enablement Shift from proprietary databases to "Internet as database" tools - Evaluate platforms that can digest broader data sources Implement AI that works as "companion, not a replacement" - Focus on tools that enhance human expertise rather than substitute for it Measure false negatives, not just false positives - Track opportunities missed, not just wrong prospects contacted For Product/Marketing Teams Load your website into BebopAI - Sam says this simple step works really well for basic company understanding Document your go-to-market messaging - Feed it into AI tools for consistent, company-specific responses. Create objection handling libraries - The most requested feature, according to Sam's feedback. For Executives/Investors Recognize top salespeople as an innovation economy constraint - Chris's thesis: Elite sales performance limits how fast innovation spreads Budget for commission accelerators - Top performers using AI tools may exceed traditional quota expectations Rethink headcount-based scaling - Focus on amplifying existing top talent vs. adding middle-tier reps Immediate Next Steps Try the "Internet as database" approach - Ask AI tools open-ended questions like "find me customers for [your company]"

Two-time Trump administration vet Lynne Parker has exited as principal deputy director of the White House Office of Science and Technology Policy following the release of the administration's AI plan. In a LinkedIn post Tuesday, Parker said she was “passing the torch” and had fulfilled her mission of helping the Trump administration “hit the ground running,” citing the launch of AI innovation and education initiatives as well as drone-focused policy, and the administration's “gold standard” science initiative. She said she plans to return to her retirement in Tennessee. Parker joined the administration in January, working alongside OSTP Director Michael Kratsios. In addition to her OSTP title, she was also named executive director of the President's Council of Advisors for Science and Technology. Parker had returned to the current Trump administration after serving as deputy CTO and founding director of the National Artificial Intelligence Initiative Office. The White House didn't immediately respond to a request for comment on her departure. In addition to Parker, OSTP senior policy advisor Dean Ball also recently announced he was leaving the White House following the release of the administration's anticipated AI Action Plan last month. Ball rejoined the Foundation for American Innovation, a technology-focused think tank formerly known as the Lincoln Network, as a fellow focused on AI policy and governance models for emerging technology. The cloud management company Box is the latest agency to strike a deal with the General Services Administration to offer its artificial intelligence services to the federal government at a fraction of the normal price. The GSA said in an announcement Wednesday that federal agencies can buy Box's Enterprise Plus for Government software for up to 75% off and the company's Enterprise for Advanced Government software discounted by up to 65% of the listed price for a year-long term. The announcement follows a series of other deals with major AI firms like OpenAI and Anthropic that aim to increase the use of AI across the federal government. Like the other OneGov collaborations, the GSA said Box's AI platform will help boost productivity at agencies, automate workflows and assist with tasks like document generation, e-signatures and forms. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Raj Koo, CTO of DTEX Systems, discusses how their enterprise-grade generative AI platform detects and disarms insider threats and enables them to stay ahead of evolving risks.Topics Include:Raj Koo, CTO of DTEX Systems, joins from Adelaide to discuss insider threat detectionDTEX evolved from Adelaide startup to Bay Area headquarters, serving Fortune 500 companiesCompany specializes in understanding human behavior and intention behind insider threatsMarket shifting beyond cyber indicators to focus on behavioral analysis and detectionRecent case: US citizen sold identity to North Korean DPRK IT workersForeign entities used stolen credentials to infiltrate American companies undetectedDTEX's behavioral detection systems helped identify this sophisticated identity theft operationGenerative AI becomes double-edged sword - used by both threat actors and defendersBad actors use AI for fake resumes and deepfake interviewsDTEX uses traditional machine learning for risk modeling, GenAI for analyst interpretationGoal is empowering security analysts to work faster, not replacing human expertiseAWS GenAI Innovation Center helped develop guardrails and usage boundaries for enterpriseChallenge: enterprises must follow rules while hackers operate without ethical constraintsDTEX gains advantage through proprietary datasets unavailable to public AI modelsAWS Bedrock partnership enables private, co-located language models for data securityPrivate preview launched February 2024 with AWS Innovation Center acceleration supportSoftware leaders should prioritize privacy-by-design from day one of GenAI adoptionFuture threat: information sharing shifts from files to AI-powered data queriesMonitoring who asks what questions of AI systems becomes critical security concernDTEX contributes to OpenSearch development while building vector databases for analysisParticipants:Rajan Koo – Chief Technology Officer, DTEX SystemsFurther Links:DTEX Systems WebsiteDTEX Systems AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

As brands grow more digital, the threats grow more personal. Attackers impersonate executives, spin up fake websites, and leak sensitive data — hurting business reputations and breaking customer trust. How do you defend your organization's reputation and customers' trust? Santosh Nair, Co-Founder and CTO at Styx Intelligence, joins Business Security Weekly to discuss how to defend trust and reputation in the age of AI. Santosh will cover both the company and executive challenges of defending against the latest AI attacks, including: Impersonations and Deepfakes Employee Scams Financial Fraud Segment Resources: - https://styxintel.com/blog/what-is-brand-protection/ - https://styxintel.com/blog/brand-impersonation-hurts-business/ - https://styxintel.com/blog/social-engineering-tactics/ In the leadership and communications section, Mind the overconfidence gap: CISOs and staff don't see eye to eye on security posture, Your AI Strategy Needs More Than a Single Leader, Avoid These Communication Breakdowns When Launching Strategic Initiatives, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-408

Multi-agent AI systems are moving from theory to enterprise reality, and in this episode, Babak Hodjat, CTO of AI at Cognizant, explains why he believes they represent the future of business. Speaking from his AI R&D lab in San Francisco, Babak outlines how his team is both deploying these systems inside Cognizant and helping clients build their own, breaking down organisational silos, coordinating processes, and improving decision-making. We discuss how the arrival of optimized, open-source models like DeepSeek is accelerating AI democratization, making it viable to run capable agents on far smaller infrastructure. Babak explains why this is not a “Sputnik moment” for AI, but a powerful industry correction that opens the door for more granular, cost-effective agents. This shift is enabling richer, more scalable multi-agent networks, with agents that can not only perform autonomous tasks but also communicate and collaborate with each other. Babak also introduces Cognizant's open-sourced Neuro-AI Network platform, designed to be model and cloud agnostic while supporting large-scale coordination between agents. By separating the opaque AI model from the fully controllable code layer, the platform builds in safeguards for trust, data handling, and access control, addressing one of the most pressing challenges in AI adoption. Looking ahead, Babak predicts rapid growth in multi-agent ecosystems, including inter-company agent communication and even self-evolving agent networks. He also stresses the importance of open-source collaboration in AI's next chapter, warning that closed, proprietary approaches risk slowing innovation and eroding trust. This is a deep yet accessible conversation for anyone curious about how enterprise AI is evolving from single, monolithic models to flexible, distributed systems that can adapt and scale. You can learn more about Cognizant's AI work at cognizant.com and follow Babak's insights on LinkedIn.

Episode SummaryWill AI replace developers? In this episode, Snyk CTO Danny Allan chats with Michael Grinich, the founder and CEO of WorkOS, about the evolving landscape of software development in the age of AI. Michael shares a fascinating analogy, comparing the shift in software engineering to the historical evolution of music, from every family having a piano to the modern era of digital creation with tools like GarageBand. They explore the concept of "vibe coding," the future of development frameworks, and how lessons from the browser wars—specifically the advent of sandboxing—can inform how we build secure AI-driven applications.Show NotesIn this episode, Danny Allan, CTO at Snyk, is joined by Michael Grinich, Founder and CEO of WorkOS, to explore the profound impact of AI on the world of software development. Michael discusses WorkOS's mission to enhance developer joy by providing robust, enterprise-ready features like authentication, user management, and security, allowing developers to remain in a creative flow state. The conversation kicks off with the provocative question of whether AI will replace developers. Michael offers a compelling analogy, comparing the current shift to the historical evolution of music, from a time when a piano was a household staple to the modern era where tools like GarageBand and Ableton have democratized music creation. He argues that while the role of a software engineer will fundamentally change, it won't disappear; rather, it will enable more people to create software in entirely new ways.The discussion then moves into the practical and security implications of this new paradigm, including the concept of "vibe coding," where applications can be generated on the fly based on a user's description. Michael cautions that you can't "vibe code" your security infrastructure, drawing a parallel to the early, vulnerable days of web browsers before sandboxing became a standard. He predicts that a similar evolution is necessary for the AI world, requiring new frameworks with tightly defined security boundaries to contain potentially buggy, AI-generated code.Looking to the future, Michael shares his optimism for the emergence of open standards in the AI space, highlighting the collaborative development around the Model Context Protocol (MCP) by companies like Anthropic, OpenAI, Cloudflare, and Microsoft. He believes this trend toward openness, much like the open standards of the web (HTML, HTTP), will prevent a winner-take-all scenario and foster a more innovative and accessible ecosystem. The episode wraps up with a look at the incredible energy in the developer community and how the challenge of the next decade will be distributing this powerful new technology to every industry in a safe, secure, and trustworthy manner.LinksWorkOS - Your app, enterprise readyWorkOS on YouTubeMITMCP Night 2025Snyk - The Developer Security Company Follow UsOur WebsiteOur LinkedIn

Welcome back to Impact Quantum, the show where quantum computing leaps from the chalkboard right onto the cutting edge of real-world business. In this episode, host Frank La Vigne and co-host BAILeY welcome back Yuval Boger, now Chief Commercial Officer at Quera Computing. Yuval takes us behind the scenes of Quera's recent $230 million funding round, reveals how they're shipping next-gen quantum computers to Japan, and dives deep into the fascinating world of neutral atom technology—think single atoms wrangled by lasers, all operating at room temperature (no cryogenic chandeliers required).Together, they explore how global governments and commercial enterprises are racing to harness the power of quantum, the challenges of scaling up this revolutionary tech, and why you don't need a PhD to start working in quantum computing—you just need curiosity and maybe a backup hair dryer. Whether you're a CTO, a logistics manager, or simply quantum-curious, this episode is your personal invite to the future of computing. Get ready for some mind-bending insights, a few great science puns, and a glimpse into why now is the perfect moment to dive into the quantum revolution.Time Stamps00:00 Quantum Innovation with Yuval Boger03:41 Next-Gen Quantum Computer Shipped07:11 Quantum Computing: Rapid Global Growth12:30 Quantum Computing for Advanced Problem Solving14:36 Quantum Computing Sales Strategy19:43 Governments Investing in Quantum Leap21:21 Quantum Investments Expand Nationwide24:35 "Identical Atoms as Qubits"28:25 Efficient Qubit Movement Technology34:25 Quantum Industry Skills Gap37:47 Quantum's Impact on Chemistry Advances40:45 AI & Quantum Computing Revolution44:21 "Quantum Supercomputing with Lasers"

Today, we're talking to Robert Duffy, CTO at HealthEdge. We discuss what CTOs are really saying about AI behind closed doors, how to scale AI initiatives across large organizations, and why balancing innovation with regulatory compliance is crucial in healthcare technology. All of this right here, right now, on the Modern CTO Podcast!  To learn more about HealthEdge, check out their website here

Sek Chai, CTO and cofounder of Latent AI, joins The Tech Trek to talk about what it actually takes to get AI running on the edge. We explore the real-world constraints of power, compute, and hardware diversity, why an agent-assisted workflow can accelerate MLOps, and how to choose models that are good enough to ship. Sek also breaks down lessons from selling into the federal market and explains why a clear guiding principle beats chasing every shiny opportunity.Key TakeawaysEdge AI is a different game than the cloud. Power limits, hardware diversity, and deployment realities have to shape the design from day one.The best model is the smallest one that delivers the capability and latency you need. Bigger isn't always better.An AI agent that understands your data, model, and hardware personas can move teams from idea to deployment much faster.Whether you're selling to federal or commercial buyers, lead with capability, then meet security and compliance needs.A strong tenet should guide product direction and market focus more than raw market size.Timestamped Highlights00:30 Why edge optimization matters and what Latent AI does01:09 The messy reality of heterogeneity and power constraints in edge deployments02:54 Why most edge AI projects never ship and how an agent can change that05:03 Mapping MLOps personas and tailoring the workflow for each11:49 Selling to both federal and commercial buyers without losing focus15:55 Building a company around a tenet rather than chasing every marketQuote of the Episode“It's not the model that you're really chasing after. It's that capability.”Pro TipsDefine capability and constraints first—latency, frame rate, and power budget—then pick and optimize the model.Collect and use telemetry from experiments and deployments to guide model and hardware choices.If federal markets are in play, bake security and compliance into your early prototypes.Call to ActionEnjoyed this episode? Follow The Tech Trek, rate us on Apple or Spotify, and share it with someone working on an edge AI project.

In this episode, I speak with Shiri Mosenzon Erez, Chief Product Officer at commercetools, a global leader in enterprise composable commerce that supports thousands of retailers in hundreds of countries, enabling tens of billions of dollars in revenue annually. Shiri's career journey has taken her from consulting into her first product role at Tesco, through product leadership at Ocado, and now leading at a scale-up with a global enterprise footprint. We cover a lot, including: What commercetools does: An API-first, composable commerce engine powering online trade for major global enterprises and manufacturers, enabling flexibility, resilience, and constant uptime for B2C and B2B commerce. Composable commerce explained: Allowing customers to mix and match best-of-breed components across the commerce value stream or opting for "pre-composed" solutions built on the same composable foundation. Strategic focus in a flexible platform: How the team decides where to build, buy, or partner, using value stream mapping to prioritise and avoid being pulled in too many directions. AI and agents in commerce: From data tagging to conversational assistants and dynamic pricing, Shiri shares early enterprise adoption patterns and the role of commercetools' MCP layer in letting customers plug in the agents they trust. Product team structure: A 55-person product org spanning UX, product management, and close engineering partnerships, with domain-focused teams and a strong CPO–CTO pairing model. Balancing explore vs exploit: Encouraging teams to pivot to higher-value domains when propositions mature, and celebrating decisions to stop work that's no longer impactful. Customer-led vs strategy-led delivery: Using proactive roadmap communication to align big customer requests with company strategy and KPIs, turning reactive asks into collaborative problem-solving. Technical and business balance in PMs: Moving from a largely technical PM base toward a mix of skills, with growing focus on business value and direct engagement with business stakeholders. Leadership approach: Shiri's focus on connecting product strategy to company strategy, advocating at the executive level, and ensuring her teams feel purpose, autonomy, and mastery in their work. Check out commercetools Check out commercetools's website: https://commercetools.com/, or their careers page: https://commercetools.com/careers/jobs. Connect with Shiri You can connect with Shiri on LinkedIn: https://www.linkedin.com/in/shiri-mosenzon/.

Electric vehicles promise a cleaner future, but battery performance remains one of the biggest bottlenecks. In this episode, Tim Holme, co-founder and CTO of QuantumScape, takes us inside the company's mission to build a new generation of solid-state lithium-metal batteries that could change the game for EVs and beyond. Tim explains why the industry has been stuck with incremental improvements to lithium-ion for decades and why replacing the graphite anode with lithium metal could unlock longer range, under-15-minute charging, and improved safety. He shares how QuantumScape's ceramic separator prevents the dendrite formation that has held back lithium-metal designs, and why this innovation can make batteries both more energy-dense and safer, even under extreme conditions. We also discuss the company's recent “COBRA” manufacturing breakthrough, which has increased separator production speed by roughly 200 times. This leap is key to scaling production for automotive partners like Volkswagen's PowerCo and Murata. Tim outlines how QuantumScape is approaching commercialization through a capital-light licensing model, avoiding the pitfalls that have caused other U.S. battery innovations to be commercialized overseas. Beyond electric vehicles, Tim sees untapped potential for solid-state batteries in grid-scale storage and at EV charging stations, where they could buffer demand and reduce grid strain. He also reflects on the global battery race, why careful partner selection is essential for protecting IP, and how the U.S. can maintain leadership in next-generation energy storage. Whether you are interested in battery chemistry, clean tech innovation, or the business of scaling breakthrough hardware, Tim offers a rare look at the science, strategy, and partnerships shaping the future of energy storage.

In this episode of Startup Project, Nataraj interviews Ben Kus, CTO of Box, about the critical role of unstructured data in the AI revolution. They discuss the cost structures of adopting and building with AI, and how AI is transforming enterprise businesses. Ben shares Box's unique perspective, managing over an exabyte of data for 120,000 enterprise customers. Learn how AI can understand, automate, and enhance the value of your unstructured data, turning untapped potential into practical benefits. What you'll learn: Understand what unstructured data is and why it's so critical for AI applications in business.Discover Box's strategic approach to integrating with other platforms and providing AI solutions on top of your data.Learn about the pivotal moment when Box realized the potential of generative AI and how they retrofitted their platform to be AI-first.Explore early AI use cases launched at Box, including chatting with documents and data extraction, and how enterprises are adopting these features.Understand the cost implications of leveraging AI and how Box balances offering AI for free with managing expenses.Dive into Box's perspective on pricing based on usage versus outcomes, and their current subscription model.Learn about Box's approach to AI agents, their definition, and how they are being implemented to solve complex problems.Discover the concept of "context engineering" and its importance in building AI agents that understand user needs.Understand how AI is impacting productivity within Box and the broader enterprise landscape.Find out about the AI models Box is working with and how they ensure security and trustworthiness for enterprise customers.About the Guest and Host:Ben Kus: Chief Technology Officer at Box, previously VP of Product at Box and co-founder of Subspace.Connect with Guest:→ LinkedIn:   https://www.linkedin.com/in/benkus .→ Website: https://box.com/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Twitter: https://x.com/natarajsindam→ Substack: ⁠https://startupproject.substack.com/⁠In this episode, we cover:(00:01) Introduction(00:35) What is unstructured data and why is Box in the center of AI?(04:05) Box's strategy on building new AI tools and features.(06:55) The moment Box realized AI was a big shift.(11:08) Earliest AI use cases launched at Box.(15:17) The cost of leveraging AI and its impact on profitability.(19:24) Pricing based on usage vs. outcomes.(22:47) Abuse prevention and handling unlimited storage.(24:16) AI products targeted for specific knowledge worker persona.(28:18) Being an AI-first company.(30:55) Defining and implementing AI agents within Box.(36:38) Form factors for agents in an enterprise product sense.(39:59) Productivity improvements with AI.(44:07) Progression in junior developers.(46:17) Document parsing and extraction.(49:16) AI models Box is working with.(52:10) Startup ideas in the AI era.Don't forget to subscribe and leave us a review/comment on YouTube, Apple, Spotify or wherever you listen to podcasts.#unstructureddata #ai #artificialintelligence #enterprisetech #cto #box #datamanagement #machinelearning #generativeai #businesstransformation #ainnovation #techleadership #cloudcomputing #datascience #podcast #startupproject #natarajsindam #digitaltransformation #enterprisesolutions #aifirst

Für unsere Jubiläumsfolge, die 100 ste Folge von KAP Podcast sind wir nach Graz gereist und treffen an der MedUni ein multidisziplinäres Forscher Team. Heute geht's um etwas, das viele gar nicht auf dem Schirm haben – aber lebenswichtig ist: Kalium und um eine revolutionäre und bahnbrechende Technologie. Mit dem Gründer Team von elyte diagnosics, Prof. Dr. Julia Mader, DI Dr. Andreas Fercher und DI Dr. Stefan Köstler, tauchen wir ein in die faszinierende Welt der Medizintechnik. Birgit Eller Krumm ist Kapitän dieser spannenden Folge. Links zur Folge: Homepage: www.elytediagnostics.com Prof. Dr. Julia Mader, Mitgründerin und Chief Medical Officer der elyte diagnostics GmbH, ist Professorin für Diabetestechnologie an der Medizinischen Universität Graz und stellvertretende Leiterin der Diabetesambulanz. Sie schloss ihr Studium an der Medizinischen Universität Graz ab, wo sie auch die Facharztausbildung in Innerer Medizin und Endokrinologie absolvierte. Sie leitet die Forschungseinheit für Diabetestechnologie an der Medizinischen Universität Graz und ist Vorstandsmitglied der Österreichischen Diabetesgesellschaft, Vorstandsmitglied der EASD und Vorsitzende des Schulungs- und Ausbildungsausschusses der EASD. DI Dr. Andreas Fercher, Mitgründer und CEO der elyte diagnostics GmbH, leitet dort ein multidisziplinäres Team, das sich auf die Entwicklung eines einzigartigen Diagnosesystems konzentriert, das Millionen von Patienten helfen soll. Seine Motivation wird von der Vision angetrieben, innovativ zu sein und neue Wege zu beschreiten – ein Ziel, das er im Laufe seiner Karriere konsequent verfolgt hat. Vor der Gründung von elyte diagnostics veröffentlichte Dr. Fercher während seiner Forschungstätigkeit am University College Cork, Irland, mehrere Artikel in hochrangigen Fachzeitschriften und hält zahlreiche Patente. Anschließend entwickelte er über ein Jahrzehnt lang optische Sensorsysteme für schwerkranke Patienten, bevor er als Produktionsleiter und später als Leiter des Verifizierungs- und Validierungsteams zur B. Braun Melsungen Gruppe wechselte. DI Dr. Stefan Köstler, CTO der elyte diagnostics GmbH, hat einen Master-Abschluss in Chemieingenieurwesen und einen Doktortitel in physikalischer Chemie. Anschließend widmete er sich der angewandten Forschung in den Bereichen Chemo- und Biosensorik, Mikrofluidik und Oberflächentechnologien. Bis 2016 leitete er die Forschungsgruppe „Sensoren und funktionelle Drucktechnologien“ am Institut MATERIALS der JOANNEUM RESEARCH. Seitdem widmet er sich der Produkt-entwicklung in der Diagnostik-branche. Er war in der F&E-Leitung der PAYER Medical GmbH tätig – einem Hersteller von Polymer-Verbrauchsmaterialien und Sensormodulen – und leitete das F&E-Team der Erba Technologies Austria GmbH, die zur Erba Mannheim Gruppe gehört, einem globalen Anbieter von In-vitro Labordiagnostik-lösungen. KAP unterstützen - Wenn ihr Sponsor von KAP Podcast werden wollt, ist es ganz einfach. Patreon werden und mit einem Betrag eurer Wahl unsere Arbeit unterstützen. Hier ist der Link dazu patreon.com/kap_podcast KAP Homepage: www.kapture.ch Instagram: @kap_kapture Foto credit: KAP

Looking for unique and authentic F1 merchandise? Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.racingexclusives.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Check out The RaceWknd magazine ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Title music created by J.T. the Human: https://www.jtthehuman.com/ Contact & Feedback: Find us on Apple Podcasts, Spotify or wherever you enjoy podcasts Email: scuderiaf1pod@gmail.com X: @ScuderiaF1Pod Episode Show Notes: August 7th, 2025 What's up, F1 fam? We're back with the freshest takes after the Hungarian Grand Prix! This episode is packed with all the juicy deets, from team drama to some wild F1 history. Let's get into it! McLaren's Winning Streak is giving "Icons Only" ✨ OMG, you guys, McLaren just clinched their 200th Grand Prix victory at Hungary, making them second only to Ferrari (who has 248 wins). Mercedes is third with 130 wins, and Red Bull is fourth with 124. And get this—McLaren's four straight 1-2 finishes? It's only the second time they've done that, with the first being way back in 1988. Ferrari has five straight 1-2 finishes in 1952 and 2002, Mercedes had five straight in 2014, from late 2015 to early 2016, and again in 2019. Ferrari & Red Bull's Hungarian GP Meltdown: The Tea is HOT! ☕ Okay, so what happened with Ferrari and Leclerc in Hungary? Apparently, the team is at a loss to explain his collapse. And get this, after the Hungarian GP, Leclerc has only turned one of his last 16 poles into a win (the 2024 Monaco GP, for those keeping track). Red Bull is also spilling the tea on their own GP meltdown, revealing what went wrong. Mercedes is Catching a Vibe!

In this episode of The Friday Habit, Mark chats with Benjamin Johnson, serial tech co-founder and founder of Particle 41. With over two decades in software development, DevOps, and startup building, Ben shares hard-earned lessons on what it really takes to lead successful tech initiatives—from bootstrapping SaaS platforms to advising CEOs on digital strategy.They dig into the evolution of AI, the risk of overengineering, and how founders can use time-tested principles like quarterly planning, intentionality, and simplicity to build smarter—not harder. Plus, Ben explains how he turned 1,000+ unread LinkedIn messages into 10 real leads in 30 minutes using AI.If you're an entrepreneur, CTO, or creative leader navigating the tech landscape, this episode will challenge you to rethink complexity, lead with clarity, and focus on what truly matters.

Hoje temos o prazer de conversar com George Bem, CTO da TIVIT, responsável por liderar iniciativas de inovação, cloud, cibersegurança e inteligência artificial. Com uma carreira focada em transformar tecnologia em valor real para clientes, George é a pessoa ideal para nos guiar no universo da IA corporativa — de onde tudo começa até cases de sucesso. Prepare-se para entender como a IA pode ser uma grande parceira dos negócios.See omnystudio.com/listener for privacy information.

Cornell Keynotes brings together Keith Cowing, executive coach and lecturer in Cornell's MBA program, and Dan Van Tran, CTO of Collectors Holdings, to consider questions with huge consequences: What is AI doing to teams, talent, and labor? How can you leverage AI today to improve your product, your company, yourself, and your team? What happens if you don't and your competitors do?In a fast-moving conversation, Keith and Dan share how today's sharpest leaders are adopting AI-native workflows, collapsing the talent stack, stripping out middle management, and rewarding leaders and team members with multiple specialties.You'll come away with a concrete playbook to sharpen uniquely human skills, pair them with AI superpowers, and deliver the kind of exponential impact today's market demands.What You'll LearnHow AI is reshaping organizations, particularly in reducing middle management layers and favoring multi-skilled professionals who can work with AI toolsThe strategic importance of adopting AI-native workflows and the potential competitive disadvantages of delayed AI implementationHow to combine uniquely human capabilities with AI capabilities to dramatically increase productivity and create exceptional value Follow eCornell on Facebook, Instagram, LinkedIn, TikTok, and X.

Arkinox is the creator of ONOSENDAI, and the CTO of FanFares, a nostr-based publishing platform.

It's YOUR time to #EdUpStay ahead of the conversation in higher ed. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month. YOU can also donate or gift a subscription at edupexperience.comIn this episode, President Series #390, part of our Academic Integrity Series, sponsored by Pangram Labs,YOUR guest is Dr. Rick Pappas, President, Davenport UniversityYOUR cohost is Bradley Emi , Cofounder & CTO, Pangram LabsYOUR host is Elvin FreytesHow does Dr. Pappas define academic integrity & why does he focus on students being ready to work when they graduate?What makes Davenport University the first university ever to win the Malcolm Baldrige State Quality Award in Michigan?How is Davenport creating new degrees in 60 days & guaranteeing jobs within six months of graduation?Topics include:Academic integrity as ensuring students learn content, soft skills, & career readiness beyond just preventing cheatingThe challenge of maintaining human-centered leadership while embracing AI transformationEmbedding power skills like critical thinking & cultural competency into transcripts for student differentiationListen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠● Join YOUR EdUp community at The EdUp ExperienceWe make education YOUR business!P.S. Support the podcast trusted by higher ed leaders. Get early, ad-free access & exclusive leadership content by supporting Elvin & Joe for only $5.99 a month or $44.99 a year. YOU can also donate or gift a subscription at edupexperience.com

The promise of cultured food is undeniable: delicious, sustainable meat and fish grown without the need for traditional farming. But the journey from lab bench to supermarket shelf is filled with complex regulatory, technological, and consumer acceptance challenges. The big question: how do we transform small-scale breakthroughs into global food production realities?In this episode of the Smart Biotech Scientist Podcast, host David Brühlmann sits down with Richard Alldread, CTO of The Cultured Hub - a unique joint venture between Givaudan, Bühler, and Migros - positioned at the intersection of flavor, food processing, and retail expertise.Richard Alldread has led process and technology development across the biopharmaceutical sector, with roles at major biotech corporations and brings decades of experience from the biopharma world into the food tech sphere, helping innovative startups bridge the gap from promising lab results to economically and technically scalable food products.Here are three reasons to keep listening:Scaling Up, Not Just Out: Richard exposes why many food startups stumble: overly complex, non-scalable processes and the misapplication of biopharma's single-use equipment. Instead, the food industry is reigniting interest in robust stainless steel facilities to meet the vastly greater scale and lower margins of food versus pharma.From Bench to Market: The Cultured Hub isn't just about tanks and tech; it's a one-stop shop where startups gain hands-on access to commercial-scale bioreactors, regulatory expertise, and direct links to the whole value chain, from flavor development to supermarket shelves.Consumer Acceptance Is (Still) King: No matter how flawless the process or affordable the meat, Richard emphasizes that success hinges on consumer adoption. The industry's greatest test isn't technological, it's shifting perceptions of cultured foods to turn curiosity into routine repeat purchases.Ready to hear what it really takes to transition cultured food from niche curiosity to supermarket staple? Dive into this episode and discover the hard truths, emerging solutions, and industry insights driving the next food revolution.Connect with Richard Alldread:LinkedIn: www.linkedin.com/in/richard-alldread-01923644Website: www.theculturedhub.comWant to hear more perspectives on the future of cell-based food? Don't miss these previous episodes:Episodes 55-56: Cultivated Meat: A Promising Future or an Inevitable Bubble? with Steven LangEpisodes 45-46: From Lab to Table: The Science Behind Cultivated Meat with Petra HangaEpisodes 15-16: Bacon Without Pigs? Innovations in Cultivated Meat Manufacturing with Beat ThalmannNext step:Book a free consultation to help you get started on any questions you may have about bioprocess development: https://bruehlmann-consulting.com/callDevelop bioprocessing technologies better, faster, at a fraction of the cost with our 1:1 Strategy Call: The quickest and easiest way to excel biotech technology development. Book your call at https://stan.store/SmartBiotechSupport the show

Tänases episoodis on külas Martin Kuustik, kes on viimased üheksa aastat ehitanud Coop Panka. Seejuures viimased kolm aastat on Martin olnud CTO rollis. Vestleme Martiniga tema karjääri tipphetkedest, raskustest ja valikutest – mis aitasid tal organisatsiooni muuta. Kuidas ehitada kultuuri, mis töötab?Miks head inimesed ei taha vahel lihtsaid töid?Mida teha, kui juhtimise käigus unustad ära iseenda?See on karjääriretro ausas ja inspireerivas võtmes.-----Jaga meile enda jaoks olulisimat mõtet episoodist meie Discord kanalis: https://discord.gg/8X5JTkDxccEpisoodi veavad Priit Liivak, Martin Kapp ja Erik JõgiAlgorütmi toetavad Patchstack https://patchstack.comNortal https://nortal.com/Veriff https://www.veriff.com/

How should businesses go about actually navigating AI? It's one thing to strategize and generate new ideas, but what needs to be done to put it into practice in a way that's effective and commercially impactful? In this episode of the Technology Podcast, new host Nigel Dalton is joined by his Thoughtworks colleague May Xu — Head of Tech for Thoughtworks APAC — and Simon Noonan, CTO at Australian business software company MYOB. Thoughtworks has been working closely with MYOB for a number of years now; May and Simon explain how they collaborate and offer their perspectives on everything from leadership to architecture in a world where AI has become imperative. Learn more about Thoughtworks' partnership with MYOB: https://www.thoughtworks.com/clients/myob  

How to Build Circular Commerce Infrastructure with Bob JansenWhat makes a rental or product-as-a-service (PaaS) business model work, and what role does technology really play in making that happen?In this episode of HappyPorch Radio, we're joined by Bob Jansen, founder of Firmhouse, a recurring commerce platform enabling subscription, rental and PaaS business models. Bob shares lessons from his journey, from building MVPs as an agency to helping major brands like Philips pilot rental models and now supporting a wide range of circular and subscription businesses across Europe.We explore the operational complexity of rental and PaaS businesses, the ongoing challenge of accessing capital, and why convenience and service are often bigger customer drivers than sustainability alone.✨ In this episode:Bob reflects on the financing challenges that continue to block scale for circular rental modelsWe hear examples of real-world companies using Firmhouse, from kids' bike subscriptions to coffee and consumablesBob explains how hybrid models like revenue sharing are emerging to address financial barriersWe discuss how Firmhouse is using AI to both speed up internal development and enable smarter, simpler features for usersBob shares how the team is building “digital teammates” that help customers operate more efficiently and with fewer resourcesWe explore the nuts and bolts of the Firmhouse platform, from logistics and localisation to return management and ID checksBob talks about building toward “planet positive” business infrastructure and what progress, not perfection, looks like in circularity

Sam Blackshear is the Co-founder and CTO of Mysten Labs, the company behind the Sui Network, and creator of the Move programming language that's revolutionizing smart contract development. From his academic roots in programming language research to his pivotal role at Facebook's Libra project, Sam shares the untold story of how he identified fundamental flaws in existing blockchain architectures and built solutions from the ground up.__________________________________PARTNERS

Matt Wraith, CTO of Bitnomial, breaks down Bitcoin futures markets, fork futures trading, and quantum computing risks. Deep dive into physical delivery, market mechanics, and how chain splits create unique trading opportunities.Matt Wraith, CTO of Bitnomial, joins us to talk about the intricate world of Bitcoin futures trading. From explaining physical delivery vs cash-settled futures to exploring the wild possibilities of fork futures markets, Matt breaks down complex market mechanics with real-world examples. We dive into how chain splits could be traded, the quantum computing threat to Bitcoin, and why having oil storage matters when futures go negative.Subscribe to the newsletter! https://newsletter.blockspacemedia.comNotes:- Bitnomial founded 2014, launched futures 2020- Oil futures went negative in March 2020- Bitcoin Cash hashrate flipped BTC post-fork- Quantum computer threat "5 years away for 30 years"- Physical delivery requires actual BTC transfer- Fork futures first appeared during SegWit debateTimestamps:00:00 Start01:09 Founding Bitnomial03:32 Regulatory changes05:16 CTO role06:09 Multiple hats07:29 Futures10:08 History of futures12:38 Physical delivery14:48 Storage costs17:25 Clearing house18:27 Cash settled21:22 Bitcoin futures history25:23 Forks & futures37:02 Assets on Bitcoin41:22 Restrictions on futures45:04 Black Swan pricing48:18 Quantum52:52 Presidio Bitcoin Quantum Conference55:36 Futures as governance-

If you've ever used IntelliJ IDEA, PyCharm, or Rider, you've probably already felt the impact of JetBrains. But what happens when one of the world's most trusted software development toolmakers starts asking whether developers should completely rethink their identity? In this episode of Tech Talks Daily, I caught up with Kirill Skrygan, the CEO of JetBrains. Kirill's story is something many developers will admire. He joined JetBrains as a junior developer back in 2010 and steadily worked his way through the ranks. Along the way, he helped launch new products, led remote development during the pandemic, and is now steering the company into the AI era. This isn't just about adding AI features to tools. Kirill is challenging long-held assumptions about what it means to be a software engineer. He believes we're entering a new chapter where non-technical creators will build their own tools, and where proactive AI agents will help maintain and even update code automatically. It's a bold vision, but one grounded in practical experience and responsibility. JetBrains is used by over 11 million developers, including 88 of the Fortune Global Top 100, so the stakes are high. We explored how AI is lowering the barrier to software creation, what that means for traditional developers, and why Kirill believes the shift won't devalue their skills but rather evolve them. He shared insights into JetBrains' own AI agent, Junie, which is already being used in production environments. He also talked about Kineta, their no-code platform designed for a new generation of creators, including those who want to build apps without a computer science background. There's also an honest discussion around the friction points of this new wave, especially when non-engineers build tools that later need to be secured and maintained. Kirill didn't shy away from the complexity of that challenge, but he's optimistic that the industry can solve it. Toward the end of the conversation, we reflected on JetBrains' role as an independent company that doesn't chase hype or rely on VC funding. That independence gives them the freedom to build what developers actually need, rather than what might look good on a press release. This episode is a thoughtful look at the future of software development, leadership from inside the codebase, and the evolving relationship between humans and AI in one of tech's most foundational professions. If you're a developer, CTO, product manager, or simply curious about how AI is changing the craft of coding, this one's worth your time.

Luke Hinds, CTO of Stacklok and creator of Sigstore, speaks with SE Radio's Brijesh Ammanath about the privacy and security concerns of using AI coding agents. They discuss how the increased use of AI coding assistants has improved programmer productivity but has also introduced certain key risks. In the area of secrets management, for example, there is the risk of secrets being passed to LLMs. Coding assistants can also introduce dependency-management risks that can be exploited by malicious actors. Luke recommends several tools and behaviors that programmers can adopt to ensure that secrets do not get leaked. Brought to you by IEEE Computer Society and IEEE Software magazine.

We are back on the road this week for an exciting visit with Emily Morris, CEO and Founder, and Tom Cuthbert, CTO, of Emrgy. Our team traveled to one of Emrgy's hydropower facilities on Colorado's Front Range to see their technology up close and in action before sitting down for a hydropower focused discussion. Emily founded Emrgy in 2014 and brings 15 years of experience in emerging hard tech development. Before launching Emrgy, she managed multi-million dollar federal contracts at AMT, bringing innovative technologies from ideation to commercialization. Tom joined Emrgy in 2020 after serving in several leadership roles at GE, most recently as CTO of Energy Storage for GE Renewable Energy. He has more than 20 years of experience in technology development across the automotive, rail, and energy sectors. Emrgy delivers low-cost power generation through innovative hardware and software that integrates seamlessly into existing water infrastructure. The company enables their customers to monetize previously unrealized energy assets, without anchoring or modifying their infrastructure. We were thrilled to visit with Emily and Tom and see Emrgy's technology in action. In our conversation, we discuss the current state of hydropower, including the regulatory and environmental challenges near federally protected natural waterways and the shift from traditional to modern approaches. Emily shares the origin of Emrgy's technology and its evolution from a defense application to commercial energy. Tom details Emrgy's hydrokinetic turbines, which can be deployed in existing water infrastructure with minimal impact and high adaptability. We explore the vast water infrastructure network and market opportunity, with over two million miles of canals globally, along with recent advances in power electronics and regulations that enable deployment. We explore the environmental and operational advantages of hydropower, the predictable power output made possible by controlled water flows, and applications across rural and urban water infrastructure. We cover Emrgy's dual monetization model (power generation and water conservation), project economics, cost-reduction targets, and speed-to-market advantages. We discuss regulatory pathways, including engagement with the Bureau of Reclamation and local water districts, incentives from the OBBB and other federal programs, and the market opportunity within aging water infrastructure. We also examine the speed of deployment and preference for incremental rollouts, interest from hyperscalers driven by power and water needs, permitting challenges near federally protected waterways, the benefits of co-locating with water infrastructure, and the advantages of innovating as a small company versus large incumbents. We end by taking a look at Emrgy's technology and discussing the rising value of water, hydropower's potential to generate hundreds of megawatts of renewable baseload power, the growing importance of decentralized energy systems near load centers, the long-term outlook, and more. We greatly enjoyed the discussion. Mike Bradley kicked things off by noting that bond markets are trading sideways this week after a tumultuous week last week, which saw a Nonfarm Payrolls report print well below expectations and sent bond yields plummeting (10-year yield trading today at 4.2%). On the broader U.S. equity market front, the S&P 500 seems to be meandering so far this week after last week's Nonfarm Payrolls report pushed it down a couple of percent. While most of the Mag 7 Big Tech companies have reported Q2 results, plenty of S&P 500 companies still have earnings to release. Turning to energy equities, most Oil Service Companies have reported Q2 results, and 2H25 guidance has been adjusted lower, mostly due to rising service cost deflation. This week's energy earnings will be concentrated on E&Ps, Midstream, and Electric Utilities. Mike also highlighted Brookfield's $6 bil

I am joined by ⁠Ryan Sieve, the CTO at Accounting Seed⁠. We get to talk about his journey from consulting in the Salesforce ecosystem to his time at Salesforce itself, before heading to Accounting Seed to lead their technology group as CTO. And thank you to Jon Schultz for the suggestion to be joined by Ryan!We start out talking about positioning products to buyers in ways that focus on solving problems vs. the speeds and feeds of a product. We touch on feature prioritization at a mature ISV like Accounting Seed and how best to collect feedback from internal and external constituents. Ryan and his team leans into customer and partner feedback to help drive features they build and at the 18:10 mark shares tactically how they execute and track the product feedback in their own internal instance of Salesforce. Accounting Seed has worked with Agentforce to optimize both collections and accounts payable to drive improved cashflow for their customers, freeing up time on their teams to be more strategic. Ryan shares their experience of how best to align with Salesforce on this new technology but always with an eye on what is going to help their customers as the top priority. We touch on their team's use of App Analytics from Salesforce, setting up listeners to understand better how your application is being used in the wild. And ISVApp is an option that layers on top of that for even better insights. Accounting Seed leverages Trialforce technology with org creation automation and to keep the data and config up to date via Github repository.This episode is brought to you by ⁠⁠⁠Invisory⁠⁠⁠. Invisory is designed to meet you where you are: in your cloud marketplace journey through a strong go-to-market strategy that helps drive prospect and co-sell opportunities with Salesforce, AWS, Microsoft, and Google. 

Ever wonder how technology leaders adapt between nimble startups and tech giants, or what it truly takes to ship software that matters? In this insightful TBCY episode (S7 E062), Ashutosh Garg sits down with Thanos Diacakis—software delivery coach, fractional CTO, patent-holder, and independent consultant—to unpack 25+ years of lessons from the front lines of engineering and startup life.Below you'll find key topics explored in the episode, organized by timestamp, complete with guiding questions to help you navigate the most relevant insights for your journey.

Is adding AI to your environment a software purchase? Or is it more like hiring an employee? Heavy Strategy’s John Burke and Johna Johnson debate whether AI should be treated as just another application you buy and use, or be handled like an employee you’re bringing on staff (complete with background and reference checks, training... Read more »

The rise of AI agents is more than a tooling upgrade - it's a fundamental rewiring of the entire developer experience, with your APIs at the very center. We're joined by Matt DeBergalis, co-founder and then-CTO-now-CEO (congrats Matt!) of Apollo GraphQL, to explore this massive transformation. He introduces the emerging concept of "agent experience," explaining why systems built for human developers are not ready for the unprecedented scale of AI calling APIs.Matt argues that as the old rules of software development get re-evaluated, engineering leaders must rethink their entire stack. He presents a powerful analogy: a structured data layer like a graph is the perfect "left brain" for the "right brain" creativity of LLMs. This provides the semantic precision and guardrails needed for AI to act reliably, enabling a future where user experiences are personalized "to 11" and APIs become the core business asset. This conversation is a crucial guide for leaders on how to prepare by prioritizing higher-level system design, and why clear communication and architecture are becoming far more critical than handwriting code.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):Explore Apollo GraphQL's graph infrastructure and MCP tooling: ApolloDevConnect with Matt on LinkedInConnect with Andrew Boyagi on LinkedInReferenced in today's show:Anthropic caps Claude Code usageOpenAI introduces study modeReady or not, age verification is rolling out across the internetAtlassian research: AI adoption is rising, but friction persistsSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Before we can build a base on the Moon, we need something even more important than astronauts: a supply chain. In this episode of Everything is Logistics, we're exploring the "New Silk Road in Space" with Joe Pawelski, CTO and co-founder of CisLunar Industries. Joe breaks down how his company is developing the infrastructure to support in-space manufacturing, power systems, and debris recycling—all to make lunar logistics a reality. From turning orbital junk into usable fuel and metal to enabling sustainable lunar operations, this conversation connects the dots between space innovation and real-world logistics strategy. We cover: How the Space Foundry and Power Processing Units (PPUs) enable space-based supply chains What it takes to build and power a Moon base Why orbital recycling is more than space cleanup—it's a new source of fuel and materials The METAL framework and what it means for lunar logistics infrastructure What logistics pros on Earth can learn from solving supply chain challenges 240,000 miles away Whether you move freight by truck, ship, or spacecraft—this episode delivers.Listen in and imagine the future where cargo routes don't stop at the atmosphere.LINKS:Joe's LinkedInCisLunar Industries LinkedInCisLunar Industries WebsiteWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

What if building a custom AI model for your business was as simple as giving feedback—no massive labeled datasets required? In this episode, we sit down with Travis Addair, CTO and Co-Founder of Predibase, creators of the first reinforcement fine-tuning platform, to explore the future of specialized AI.Discover how reinforcement fine-tuning is revolutionizing model customization, enabling you to start fast, adapt to your unique data, and keep improving through human feedback. Whether you're an AI enthusiast or a business leader, you'll learn how this breakthrough is making advanced AI accessible to everyone.Highlights:How reinforcement fine-tuning simplifies building custom modelsThe impact of human feedback on continuous model improvementMaking advanced AI accessible with minimal labeled data

Is adding AI to your environment a software purchase? Or is it more like hiring an employee? Heavy Strategy’s John Burke and Johna Johnson debate whether AI should be treated as just another application you buy and use, or be handled like an employee you’re bringing on staff (complete with background and reference checks, training... Read more »

As the grid decarbonises, our need for flexible, affordable, and longer-duration energy storage is growing fast. But are we overlooking some of the best tools for the job?Whilst lithium-ion and pumped hydro dominate the energy storage conversation, thermal energy storage offers a low-cost, scalable alternative that could complement renewables at massive scale.Explore how pumped thermal energy storage works, what makes it commercially compelling, and why it deserves more attention in the conversation around grid flexibility and net zero. In this episode, Alexis Dole, CTO at SynchroStor, joins Quentin. Over the course of the conversation they discuss: What sets thermal energy storage apart from alternatives like lithium-ion and pumped hydro. Why Synchrostor is betting on crushed rock and heat cycles over batteries. The storage challenge: balancing duration, cost, efficiency, and scale. How to design storage for real-world flexibility - not just peak shaving. Why the market undervalues long-duration storage and how that's starting to shift.About our GuestAlexis Dole is Chief Technology Officer at Synchrostor, a UK-based company developing pumped thermal energy storage solutions. With a background in mechanical and energy systems engineering, Alexis leads the development of novel long-duration storage technologies designed to integrate clean energy more effectively into the grid. For more information on SynchrStore - head to their website. About Modo EnergyModo Energy helps the owners, operators, builders, and financiers of battery energy storage solutions understand the market - and make the most out of their assets.All of our podcasts are available to watch or listen to on the Modo Energy site. To keep up with all of our latest updates, research, analysis, videos, podcasts, data visualizations, live events, and more, follow us on LinkedIn. Check out The Energy Academy, our bite-sized video series breaking down how power markets work. Sign up to the Modo Energy Weekly Dispatch for expert insights on energy storage, market shifts, and policy updates - delivered straight to your inbox every week.

As the grid decarbonises, our need for flexible, affordable, and longer-duration energy storage is growing fast. But are we overlooking some of the best tools for the job?Whilst lithium-ion and pumped hydro dominate the energy storage conversation, thermal energy storage offers a low-cost, scalable alternative that could complement renewables at massive scale.Explore how pumped thermal energy storage works, what makes it commercially compelling, and why it deserves more attention in the conversation around grid flexibility and net zero. In this episode, Alexis Dole, CTO at SynchroStor, joins Quentin. Over the course of the conversation they discuss: What sets thermal energy storage apart from alternatives like lithium-ion and pumped hydro. Why Synchrostor is betting on crushed rock and heat cycles over batteries. The storage challenge: balancing duration, cost, efficiency, and scale. How to design storage for real-world flexibility - not just peak shaving. Why the market undervalues long-duration storage and how that's starting to shift.About our GuestAlexis Dole is Chief Technology Officer at Synchrostor, a UK-based company developing pumped thermal energy storage solutions. With a background in mechanical and energy systems engineering, Alexis leads the development of novel long-duration storage technologies designed to integrate clean energy more effectively into the grid. For more information on SynchrStore - head to their website. About Modo EnergyModo Energy helps the owners, operators, builders, and financiers of battery energy storage solutions understand the market - and make the most out of their assets.All of our podcasts are available to watch or listen to on the Modo Energy site. To keep up with all of our latest updates, research, analysis, videos, podcasts, data visualizations, live events, and more, follow us on LinkedIn. Check out The Energy Academy, our bite-sized video series breaking down how power markets work. Sign up to the Modo Energy Weekly Dispatch for expert insights on energy storage, market shifts, and policy updates - delivered straight to your inbox every week.

In this episode of CTO Confessions, we sit down with Reinaldo Ynchaustegui, CTO in the asset management space, for an overview of what it really takes to lead in tech. From dissecting how to automate a tech team's workflow without losing the human touch to exploring the critical role of emotional intelligence in leadership, Reinaldo shares insights from the frontlines. Tune in to hear the realities behind the role and the balance between tech and people.

In this episode, Dave and Jamison answer these questions: I'm the CTO of a small startup. We're 3 devs including me and one of them is a junior developer. My current policy is to discourage the use of AI tools for the junior dev to make sure they build actual skills and don't just prompt their way through tasks. However I'm more and more questioning my stance as AI skills will be in demand for jobs to come and I want to prepare this junior dev for a life after my startup. How would you do this? What's the AI coding assistant policy in your companies. Is it the same for all seniority levels? Hi everyone! Long-time listener here, and I really appreciate all the insights you share. Greetings from Brazil! I recently joined a large company (5,000 employees) that hired around 500 developers in a short time. It seems like they didn't have enough projects aligned with everyone's expertise, so many of us, myself included, were placed in roles that don't match our skill sets. I'm a web developer with experience in Java and TypeScript, but I was assigned to a data-focused project involving Python and ETL pipelines, which is far from my area of interest or strength. I've already mentioned to my manager that I don't have experience in this stack, but the response was that the priority is to place people in projects. He told me to “keep [him] in the loop if you don't feel comfortable”, but I'm not sure that should I do. The company culture is chill, and I don't want to come across as unwilling to work or ungrateful. But I also want to grow in the right direction for my career. How can I ask for a project change, ideally one that aligns with my web development background, without sounding negative or uncooperative? Maybe wait for like 3 months inside of this project and then ask for a change? Thanks so much for your thoughts!

In this episode of The New Warehouse Podcast, Kevin chats with Jeff Mahler, CTO and Co-founder of Ambi Robotics. Ambi Robotics applies artificial intelligence and simulation-driven learning to solve some of the most complex challenges in logistics automation. In this episode, Jeff shares how Ambi uses a combination of deep reinforcement learning, modular design, and real-world feedback to help operations scale productivity through robotic systems. From parcel sorting to the latest innovation, AmbiStack, the company is building solutions that adapt and improve over time. This episode dives into the tech, the challenges, and what's next for warehouse robotics.Learn more about Picker Pal here. Get better visibility with Surgere. Follow us on LinkedIn and YouTube.Support the show

What does it take to deliver innovation at just the right moment? In this episode of The Tech Trek, Amir sits down with Eric Hoffert, CTO at Kargo and former video leader at Apple and Spotify, to unpack the art and science of innovation timing. From building QuickTime at Apple to launching video at Spotify a decade before the market caught up, Eric shares stories that blend conviction, timing, and deep tech insight. This episode is a must-listen for anyone thinking about where AI, video, and advertising are headed—and how to lead through the chaos.Key Takeaways:Innovation is a blend of vision, timing, and execution—being first doesn't matter if the world isn't ready.AI is shifting us from an attention economy to an intention economy, transforming how video content and advertising are personalized.The best tech products often emerge from the intersection of diverse disciplines, creative conviction, and platform thinking.Timing mistakes are common—even industry giants miss the mark by years—but conviction keeps the momentum alive.Future video experiences will be radically personal, possibly generated in real time based on your preferences.Timestamped Highlights:00:58 — What Kargo does and why art + technology is their core advantage02:04 — The behind-the-scenes story of inventing QuickTime at Apple12:50 — Why Spotify's video ambitions in 2011 were 15 years ahead of their time17:33 — Can advertising become seamless and actually helpful? The AI-powered opportunity22:23 — Scene-level targeting and privacy-preserving personalization in video26:49 — Eric's 3 keys to innovating at the right time: see around corners, surf the wave, move fastQuote of the Episode:“We're shifting from an attention economy to an intention economy—where you're in the driver's seat of what you watch, and how it's monetized.”Call to Action:If this conversation got you thinking about where tech is headed, share it with a fellow builder or product leader. Follow the show for more deep dives into the minds shaping tomorrow's tech—and drop a comment to let us know what resonated most.

In this episode of Hustleshare, we sit down with Bimbo Adewoyin, founder and CTO of Doublesquare Networks Inc., to talk about how he went from installing DIY wireless setups in college to leading a nationwide tech company. Bimbo shares how growing up in Nigeria shaped his work ethic, how he adjusted to life in Bicol, and how he hustled his way into city-wide projects—all while figuring things out on his own. He also talks about building a team, learning the ropes of government procurement, and how PLDT Enterprise helped them grow through the toughest moments of the pandemic.Resources:Official Website:https://dsnetworks.net LinkedIn:https://www.linkedin.com/in/bimboblade Sponsors:OneCFO: https://www.onecfoph.co/PLDT Enterprise: https://pldtenterprise.com- MSME Fiberbiz - https://bit.ly/pldtenterprise-ROId-nbsi-fiberbiz - 5G SIM Only - https://bit.ly/pldtenterprise-ROId-nbsi-smart-postpaidHustleshare is powered by Podmachine Hosted on Acast. See acast.com/privacy for more information.

Bret Taylor's legendary career includes being CTO of Meta, co-CEO of Salesforce, chairman of the board at OpenAI (yes, during that drama), co-creating both Google Maps and the Like button, and founding three companies. Today he's the founder and CEO of Sierra, an AI agent company transforming customer service. He's one of the few people I've met who's been wildly successful at every level—from engineer to C-suite executive to founder—and across almost every discipline, including PM, engineer, CTO, COO, CPO, CEO, and board member.In this conversation, you'll learn:1. The brutal product review that nearly ended his Google career—and how that failure led to creating Google Maps2. The question Sheryl Sandberg taught him to ask every morning (“What's the most impactful thing I can do today?”) that transformed how he approached every role3. The three AI market segments that matter4. Why AI agents will replace SaaS products5. His framework for knowing whose advice to actually listen to—and how that came in handy during the OpenAI board drama6. The counterintuitive go-to-market strategy most AI startups get wrong7. Sierra's outcome-based pricing model that's transforming how enterprise software is sold (and why every SaaS company should adopt it)8. What he's teaching his kids about AI that every parent should know—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyVanta—Automate compliance. Simplify security: https://vanta.com/lenny—Where to find Bret Taylor:• X: https://x.com/btaylor• LinkedIn: https://www.linkedin.com/in/brettaylor/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Bret Taylor(04:10) Bret's early career and first major mistake(08:24) The birth of Google Maps(11:57) Lessons from FriendFeed and the importance of honest feedback(31:30) The future of coding and AI's role(45:26) Preparing the next generation for an AI-driven world(48:46) AI in education(52:05) Business strategies in the AI market(01:04:38) Outcome-based pricing in AI(01:09:15) Productivity gains and AI(01:17:35) Go-to-market strategies for AI products(01:21:49) Lightning round and final thoughts—Referenced:• Marissa Mayer on LinkedIn: https://www.linkedin.com/in/marissamayer/• “Lazy Sunday”—SNL: https://www.youtube.com/watch?v=sRhTeaa_B98• Quip: https://quip.com/• Sierra: https://sierra.ai/• FriendFeed: https://en.wikipedia.org/wiki/FriendFeed• Sheryl Sandberg on LinkedIn: https://www.linkedin.com/in/sheryl-sandberg-5126652/• Jim Norris on LinkedIn: https://www.linkedin.com/in/halfspin/• Paul Buchheit on X: https://x.com/paultoo• Sanjeev Singh on LinkedIn: https://www.linkedin.com/in/sanjeev-singh-20a1b72/• Barack Obama: https://www.obamalibrary.gov/obamas/president-barack-obama• Oprah Winfrey: https://en.wikipedia.org/wiki/Oprah_Winfrey• Ashton Kutcher: https://en.wikipedia.org/wiki/Ashton_Kutcher• PayPal Mafia: https://en.wikipedia.org/wiki/PayPal_Mafia• Sam Altman on X: https://x.com/sama• Warren Buffett on X: https://x.com/warrenbuffett• Unix: https://en.wikipedia.org/wiki/Unix• Fortran: https://en.wikipedia.org/wiki/Fortran• C: https://en.wikipedia.org/wiki/C_(programming_language)• Python: https://www.python.org/• Perl: https://www.perl.org/• Rust: https://www.rust-lang.org/• Eleven Labs: https://elevenlabs.io/• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Confluent: https://www.confluent.io/• Databricks: https://www.databricks.com/• Snowflake: https://www.snowflake.com• Harvey: https://www.harvey.ai/• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Larry Summers's website: https://larrysummers.com/• AutoCAD: https://www.autodesk.com/products/autocad/overview• Revit: https://www.autodesk.com/products/revit/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://lenny.substack.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Cursor: https://cursor.com/• CodeX: https://openai.com/codex/• Claude Code: https://www.anthropic.com/claude-code• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• DirecTV: https://www.directv.com/• SiriusXM: https://www.siriusxm.com/• Wayfair: https://www.wayfair.com/• Akai: https://www.akaipro.com/• Chubbies Shorts: https://www.chubbiesshorts.com/• Weight Watchers: https://www.weightwatchers.com/• CLEAR: https://www.clearme.com/• Stripe: https://stripe.com/• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Twilio: https://www.twilio.com/• ServiceNow: https://www.servicenow.com/• Adobe: https://www.adobe.com/• Jobs to be done: https://jobs-to-be-done.com/jobs-to-be-done-a-framework-for-customer-needs-c883cbf61c90• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Inception: https://www.imdb.com/title/tt1375666/• Alan Kay's quote: https://www.brainyquote.com/quotes/alan_kay_100831• Jobs at Sierra: https://sierra.ai/careers—Recommended books:• Monetizing Innovation: How Smart Companies Design the Product Around the Price: https://www.amazon.com/Monetizing-Innovation-Companies-Design-Product/dp/1119240867• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• Endurance: Shackleton's Incredible Voyage: https://www.amazon.com/Endurance-Shackletons-Incredible-Alfred-Lansing/dp/0465062881—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com