Podcasts about Stripe

Stanford, Loopt, and Y Combinator. Guest Author: Keach Hagey. Altman's career accelerated at Stanford, where he dropped out to co-found Loopt, a pioneering location-tracking startup. Although Loopt achieved visibility—including a famous appearance at an Apple event alongside Steve Jobs—it was financially a disappointment, selling for parts after the 2008 crisis. Following a period of global "backpacking" and self-reflection, Altman discovered his "superpower" in investing, mentored by Peter Thiel. By 2014, he became the president of Y Combinator, overseeing massive successes like Airbnb and Stripe. Influenced by a visit to SpaceX, Altman adopted Elon Musk's "missionary" approach, viewing startups as world-changing missions rather than mere businesses. During this time, he also championed radical social concepts like Georgism and Universal Basic Income (UBI), writing extensively on how mass AI equity could eventually be shared to restructure society. 3JANUARY 1941

Jordi Visser is a veteran macro investor with 30+ years of experience and the author of the VisserLabs Substack. In this conversation, we break down the AI trade and why it's far from over, the memory shortage driving Micron, which AI models are winning and losing, how agentic loops are replacing white collar jobs, why bitcoin and the debasement trade are selling off — and what comes next.=====================Need liquidity without selling your crypto? Take out a Figure Crypto-Backed Loan, allowing you to borrow against your BTC, ETH, or SOL with 12-month terms, 8.91% interest rates, and no prepayment penalties. Or check out Democratized Prime (https://figuremarkets.co/pomp) and earn ~9% APY on real world assets, paid hourly. Unlock your crypto's potential today at Figure! https://figuremarkets.co/pomp Figure Lending LLC dba Figure (NMLS 1717824). Loans subject to approval. Crypto collateral may be liquidated. Terms apply - see full disclosures at figure.com/disclosures/=====================Uphold is the easiest way to buy and sell crypto unlike any other platform allowing you to trade in just one step between any supported asset. Check them out at https://www.uphold.com/pomp/ This video includes a paid sponsorship with Uphold. I'm compensated by Uphold for promoting its products and services and may receive commissions from referrals. Terms apply. Not available in all jurisdictions. Digital assets are risky and may result in the total loss of your capital.=====================Bitget (https://bitget.com/promotion/futures-tradfi?channelCode=regd&vipCode=nkew) is the world's largest Universal Exchange (UEX) (https://bitget.com/promotion/futures-tradfi?channelCode=regd&vipCode=nkew), serving over 125 million users with access to over 2M+ crypto tokens, and TradFi markets such as 100+ tokenized stocks, ETFs, commodities, FX and precious metal like Gold. At launch, users can trade 79 instruments with USDT directly with the App. Users can also enjoy high liquidity and low slippage, while trading these assets with up to 500x leverage. For more information on Bitget TradFi, visit this article (https://bitget.com/support/articles/12560603846859). For more information, visit: Website (https://bitget.com/) | Twitter (https://x.com/bitget) | Telegram (https://t.me/BitgetENOfficial) | LinkedIn (https://linkedin.com/company/bitget-global/) | Discord (https://discord.com/invite/bitget)For media inquiries, please contact: media@bitget.com=====================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.=====================0:00 - Intro1:13 - Is the AI trade over?4:11 - Micron, memory shortage, & the AI supply chain9:54 - Intel, TSMC & the AI arms race13:11 - Claude vs. ChatGPT vs. Gemini24:26 - Agentic loops & job displacement29:50 - What is the impact of regulation?34:55 - Stripe, solopreneurs & AI commerce38:12 - Bitcoin, gold & the debasement selloff43:11 - Tokenization & bitcoin's third wave45:04 - Jordi's upcoming video

Building a personal brand in SEO doesn't require a massive following. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO veteran from Workday, Stripe, and Anaplan, shares how he ranked a prospective employer #1 for a target term in 24 hours to land contract work during a two-year unemployment stint. The conversation covers applying SEO skills to your own name for searchability, refreshing existing content with declarative subheadings and quick facts to win in both LLMs and traditional SERPs, and shifting reporting away from traffic toward a durable metrics stack as AI reshapes search.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today, Hunter was joined by Nia Holston from the Abolitionist Law Center and Sean Damon of Straight-Ahead to discuss a case out of Pennsylvania. In Commonwealth v. Lee, the Pennsylvania Supreme Court  struck down mandatory life without the possibility of parole for felony murder convictions because those sentences violated the states prohibition on cruel punishments.     Guest: Nia Holston, Staff Attorney, Abolitionist Law Center Sean Damon, Director of Strategic Partnerships, Straight-Ahead   Resource: Read the Case Here https://statecourtreport.org/case-tracker/commonwealth-v-lee Contact ALC and Straight-Ahead https://abolitionistlawcenter.org/person/nia-holston/ sean@straight-ahead.org     Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

Content freshness now outranks new content production for AI visibility. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO veteran behind growth at Workday, Stripe, and Anaplan, shares how he ranked a company number one for a target term within 24 hours. The conversation covers building a metric stack beyond traffic to insulate reporting from AI Overview erosion, restructuring existing content with declarative subheadings and quick-fact modules to win across both LLMs and traditional SERPs, and applying SEO discipline to personal brand visibility as a career differentiator.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

During my recent LA weekend, I asked author, pal, and past guest Kate Maruyama if she'd be interested in interviewing me, and for some crazy reason, she said yes! So this time around you get me doing my best not to ask the questions, and just letting it fly, as we talk about the history of the podcast, my dream list of pod-guests, my semi-fake erudition, why we should practice arts we're no good at, my thoughts on mortality and progeny, the gentle change of years, the legend of the fire defenses of the Beinecke Library at Yale, and a ton of stories. Follow Kate on Bluesky and Instagram, and subscribe to her newsletter • More info at our site • Support The Virtual Memories Show via Stripe, Patreon, or Paypal, and subscribe to our e-newsletter

Today, Hunter was joined by Professor Deborah Lolai to discuss her law review article, Out of the Closet, in on Bail. In the article, Deborah details the systemic issues within the bail system, especially as they relate to LGBTQ+ individuals. She explores how pretrial detention disproportionately impacts queer and trans people and how Public Defenders can help get their clients the individualized considerations they deserve.   Guest: Deborah Lolai, Clinical Professor and Lecturer, Harvard Law     Resource: Read the Paper Here https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5172965   Contact Deborah Here https://hls.harvard.edu/faculty/deborah-lolai/     Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

On the podcast: reaching brand-new audiences through web funnels, how they created their own ‘Big Mac index' for global pricing, and why monthly plans can beat annual for LTV.Top Takeaways:

Carbon removal has gone from a niche climate concept to one of the world's most important challenges. Reid and Aria sit down with Nan Ransohoff, Head of Public Goods at Stripe and a leader behind Frontier, the advanced market commitment helping build the market place for carbon removal. Nan explains why cutting emissions alone won't be enough to meet climate goals, what it will take to scale carbon removal from thousands to trillions of tons, and why governments—not just companies—will ultimately need to create and fund the markets that make it possible. They discuss the most promising carbon removal technologies, the role AI could play in accelerating climate solutions, and what it means to be a "general manager" for challenges that affect all of humanity. For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/

Organic traffic is collapsing as AI answers replace clicks. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO leader behind growth at Workday, Stripe, and Anaplan, explains why traffic should no longer anchor your reporting and what to track instead. The conversation covers building a metrics stack around indexation, crawlability, and impressions rather than subjective ranking visibility; executing content refreshes that restructure pages with declarative subheadings and quick-fact blocks to win in both LLMs and traditional SERPs; and applying T-shaped, search-everywhere skills across social, video, and Reddit to match how AI surfaces sources.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today, Hunter was joined by Salil Dudani and Carson White from the Civil Rights Corps. Since they were founded, the Civil Rights Corps has been one of the leaders in the fight to end cash bail. Today, Carson and Salil joined to explain the recent California Supreme Court Case, In re Gerald Kowalczyk, and what it means for the fight against cash bail.       Guest: Carson White, Supervising Attorney, Civil Rights Corps Salil Dudani, Senior Attorney, Civil Rights Corps   Resource: More from Civil Rights Corps Here https://civilrightscorps.org/case/kowalczyk-california-bail-pretrial-detention/   Read the Case Here https://courts.ca.gov/opinion/published/2026-04-30/s277910     Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

AI search now pulls from every channel, not just web pages. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO leader who drove growth at Workday, Stripe, and Anaplan, explains why the T-shaped marketer has become the industry's most valuable profile. The conversation covers building a metric stack that moves beyond traffic dependence, executing content refreshes structured for both traditional rankings and LLM extraction through declarative subheadings and quick facts, and applying your own SEO skill set to personal brand visibility as a career differentiator.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Layoffs hit even the SEOs who survive every prior cut. Paul Andre de Vera, founder of Answer Engine Optimization and a 15-year enterprise SEO leader at Workday, Stripe, and Anaplan, spent two years rebuilding after a startup layoff—landing his next role by ranking a target keyword number one within 24 hours during an interview. He breaks down using your own SEO skill set to build a personal brand and rank for your name, the over-deliver interview approach that makes you memorable to recruiters long after the initial conversation, and a content refresh strategy that pairs SERP-driven optimization tools with AEO factors like declarative headings to win in both traditional rankings and LLM results.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode of Run the Numbers, CJ sits down with Confluent CFO Rohan Sivaram to talk goal setting, prioritization, consumption-based pricing, hybrid zero-based budgeting, and the frameworks finance leaders use to scale companies. Rohan shares why he carries his 12-month goals with him, how he evaluates opportunities through TAM, technology, and team, and why usage-based pricing changes the entire operating model.—SPONSORS:EY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cj—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/rohan-sivaram-69007b7/Company: https://www.confluent.io/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:A CFO Explains Marketplaceshttps://youtu.be/LpbH9GpBrSY—TIMESTAMPS:0:00 Preview and Intro2:26 Writing down 12-month goals and carrying them6:33 Rule of 168: 168 hours a week7:36 Delegation and calendar management9:25 Learning to say no: cultural shift11:32 Sponsors — EY | SpendHound | Brex14:29 Joining Confluent: the state of the company16:57 Building blocks of a budgeting process19:46 Execute, learn, adapt21:59 Healthy tension in the planning cycle22:26 Sponsors — Aleph | RightRev | Rillet25:46 What is hybrid zero-based budgeting?30:37 Moving from subscription to consumption pricing32:22 Why this was a one-way door33:56 New metrics required in a consumption business35:28 Evaluating job opportunities: the three T's37:39 Networking and reciprocity39:54 Lightning round40:04 Screwed up: free cash flow sign error42:03 Advice to younger self: take more risks42:38 Finance software stack43:00 AI tools the team has built43:44 Credits

In this episode, Lex chats with Cactus Raazi — CEO Americas at B2C2, one of the original and largest institutional market makers in digital assets, serving roughly 1,500 institutions and pricing across more than 40 exchanges globally. They discuss what a market maker actually does, how balance sheet and signal generation underpin roughly $1 billion a day of stablecoin flow at B2C2, and why the two extremes of crypto market making - riskless principal aggregation versus proprietary alpha - produce very different client outcomes that buyers rarely understand. Cactus explains B2C2's 18-month bet that the Circle-versus-Tether debate would give way to a multi-issuer world, the launch of its PENNY product for instant zero-cost cross-stablecoin swaps, and they explore why programmability is the next frontier for digital dollars, why US capital markets have almost no structure for funding genuine risk-taking businesses, and whether the current combination of scale, speed, and complexity makes this the hardest investing environment Wall Street has ever faced. NOTABLE DISCUSSION POINTS: Market makers aren't a homogeneous category, and clients pay for the difference. At one extreme, a market maker is essentially a riskless agent - aggregating prices across 40+ exchanges and quoting on top with no real view. At the other extreme, a market maker is a proprietary quant shop running alpha signals on horizons from seconds to days, and the price you get is heavily conditioned by where the signal says the asset is going. B2C2 sits in the middle, partly because its public-company parent (SBI) constrains risk appetite. The implication for institutional buyers: who you trade with structurally determines the quality of execution, not just the spread. Algorithmic fixed income market making didn't fail on technology, it failed on capital structure. US capital markets are excellent at funding venture, growth equity, private equity, and buyouts, but there is almost no domestic pool of “risk equity” - capital comfortable with the possibility that the machines (or the humans) lose money on a given day. Market makers need exactly that kind of balance sheet, and the mismatch between what the business requires and what the US capital base offers is a structural reason firms like Elefant struggled, regardless of execution quality. The Circle-vs-Tether framing is already obsolete; the next product wedge is interoperability. B2C2 made an 18-month-old contrarian bet that the duopoly narrative was wrong and that Stripe (via Bridge), Western Union, Revolut, and many other consumer and platform companies would issue their own stablecoins. PENNY - instant, zero-cost, zero-counterparty-risk stablecoin-to-stablecoin swaps - is the product expression of that view. The deeper claim is that stablecoins are software, and the SaaS analogy (a base layer plus an app store of programmable financial logic) is the real reason institutional adoption accelerates from here, not the transfer-of-value benefit on its own. TOPICS B2C2, Goldman Sachs, SBI Group, Binance, Coinbase, Circle, Tether, Stripe, Kraken, Credit Suisse, Market making, institutional liquidity, stablecoins, fixed income, risk management, algorithmic trading, crypto exchange infrastructure   ABOUT THE FINTECH BLUEPRINT

Marketing and sales have developed a bit of a reputation problem, and honestly, it's not hard to see why. Between pushy sales tactics, fake scarcity, endless funnels, and enough Stripe screenshots to make anyone suspicious, many business owners have started questioning whether the traditional online business playbook is still working.In this conversation, Sydney sits down with marketing and sales mentor Polly to talk about what happens when you throw out the guru tactics and build a business around trust, relationships, and actual human connection. They dive into the unique challenges neurodivergent entrepreneurs face, why human-first marketing is becoming more important than ever, and how sales can feel less like manipulation and more like genuine service.MENTIONED IN THIS EPISODE:FREE community & weekly lives for coaches + practitioners w/ ADHD: https://pollypollock.thrivecart.com/procrastinationstation/The Neuropreneur Rising Podcast: https://open.spotify.com/show/6rPWIyZD9FbN0SHNtPq5Ym?si=f7bfe30906f141a5Come chat with Polly in the DMs: https://www.instagram.com/pollypollockofficial/Work with Polly: https://www.neuropreneurrising.com/nfsaSydney's FREE Content Chaos Reset: https://www.sydneyobrien.com/content-planning-system

In this ad-free episode #19 of the Five Stripe Playbook, Nick and Drew celebrate the USMNT's Group D win and discuss the World Cup: Pepi for Pulisic? No problem! Pochettino's tactical tweak to dominate Australia. It's not just the World Cup - Pochettino has done so much right in the last 2 years. Nick and Drew's favorite World Cup games. And more! --------- We've launched written content for the 2026 season! Our newly dedicated writers room is working day and night to provide FREE written match analysis, breaking news, opinion pieces, and much more on your Atlanta United. Sign up for the FREE membership on Patreon to get all written content delivered straight to your inbox the moment we publish! Join us! http://patreon.com/atlutdfantv Donate: www.paypal.me/atlutdfantv --------- Find our podcast in audio form on your favorite podcatchers! --------- About Atlanta United Fan TV: We are created by fans for the fans of Atlanta United and soccer. Join the community to get in on the conversation! Bringing you fan cams, podcasts, vlogs, mini-documentaries and much more! If you're a Five Stripe, we want to hear from you! Whatever you want to say about ATL UTD you can say it in the comments below. And to get in touch with us, connect with us: INSTAGRAM: https://goo.gl/9uOLVn BLUESKY: @atlutdfantv.bsky.social TWITTER: https://goo.gl/5uc709 TWITCH: https://www.twitch.tv/atlutdfantv DISCORD: https://discord.gg/C4RXb2b FACEBOOK: https://tinyurl.com/y3ga5mst SNAPCHAT: atlutdfantv17 TIK TOK: atlutdfantv --------- #ATLUTD #UniteAndConquer #MLS Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode contains some screen sharing so it's best watched on YouTubeWhat happens when one product leader decides to stop copy-pasting between chat windows and instead build an operating layer that puts coding agents in the hands of an entire company?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Kyler Ross, Head of Product at Cloaked, to walk through the internal “harness” he started building last Thanksgiving: an agent-friendly system of context files and scripts that lets agents read from and write to the team's real tools. Kyler explains how it gets installed on every company machine, why he treats each new agent session like onboarding an employee, and how a self-improving loop of skills and automated reviews keeps it getting better.They explore his day-to-day setup for running many agents at once, why worktrees and Claude Code hooks exist to make failure nearly impossible, a one-on-one prep skill that pulls context from every corner of the company, and the layered guardrails, including a nightly “librarian” agent, that keep confidential information from leaking.If you're a product or engineering leader trying to make your team more AI-native, someone wiring agents into real workflows, or anyone wrestling with how to run agents safely at scale, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Does your income feel unpredictable even when your work stays the same? If you are a VA, OBM, or done-for-you service provider stuck in the good month, slow month cycle, the problem is usually not your rates, your visibility, or your number of leads. So why does one month feel amazing and the next leave you anxious about what is coming? Why do retainer clients still keep you checking Stripe first thing in the morning? And why is the real fix so different from getting more clients? This episode gets into why income feels so unpredictable for so many service providers, and the one shift that finally makes it feel stable.In this episode:✨ Why unpredictable income is a structure problem, not a visibility problem✨ What reactive income is and why it keeps you stuck✨ Why more clients will not break the good month, slow month cycle✨ The real reason retainer clients still leave you anxious✨ The one question to ask about your last five clients 

In this episode of Crazy Wisdom, Stewart Alsop sits down with Akin Kadioglu, cofounder of Bondi Finance, to unpack the wild world of tokenized corporate bonds and what it actually takes to bring traditional finance onto the blockchain. They trace the regulatory maze from Bermuda's segregated accounts structure to the global competition between nation states racing to build the best tokenization frameworks, then widen the lens to cover the Genius Act and stablecoin politics, why America's biggest companies have stopped going public, the techno feudalism reshaping Silicon Valley, China's strategy of copying and scaling rather than innovating, and a deep dive into emerging market bonds, default risk, and why countries like Turkey, Mexico, and Indonesia might be more investable than people assume. Find Akin on Twitter at @kadiogluakin, and check out his work at Bondi Finance, bondifinance.io.Timestamps00:00 Tokenization of corporate bonds and Bermuda's regulatory structure05:00 Global tokenization frameworks and the Genius Act's impact on stablecoins10:00 Anthropic's secondary markets, private capital, and why big companies avoid IPOs15:00 Techno feudalism, Silicon Valley's clergy class, and China's distillation strategy20:00 RISC-V, open source robotics, and the AI monopoly risk25:00 American gridlock, constitutional spirit, and crypto as freedom from centralization30:00 Argentina's 2001 default, dollar pegging, and Milei's deficit cuts35:00 Carry trades, US treasury rates, and inflation in emerging economies40:00 Sovereign versus corporate bonds and tokenization's $38 trillion opportunity45:00 Investment grade versus junk bonds and zero default risk explained50:00 Bond credit ratings, Yankee and Samurai bonds, and top emerging market picksKey InsightsTokenization's biggest obstacle isn't technology, it's sovereignty. Akin argues that nation states resist giving tokenized assets the same ownership rights as traditional securities because they're hesitant to cede authority to neutral blockchains, even when the underlying infrastructure already works.The Genius Act protected banks more than it empowered crypto. By separating yield bearing stablecoins from non yield bearing ones, regulators effectively let banks keep customers from earning interest outside traditional savings accounts, a quiet but consequential win for legacy finance.America's biggest companies are opting out of public markets. Stripe, Anthropic, OpenAI, and SpaceX have stayed private far longer than past generations of breakout companies, raising real questions about whether venture capital has replaced the public markets that once defined American finance.Silicon Valley's elite increasingly resemble a modern clergy. Akin frames the founders and labs that gatekeep advanced AI knowledge as inheritors of a medieval power structure, where access to "secret knowledge" converts directly into capital and influence over everyone else.China wins by scaling, not innovating. Rather than leading at the frontier, China consistently lets American labs take the first step, then copies and mass produces at a fraction of the cost, a strategy Akin sees playing out in everything from manufacturing to AI models.Not all bonds carry the same kind of risk. Akin draws a sharp distinction between bonds with zero tail risk, like US treasuries denominated in their own currency, and corporate or foreign currency sovereign bonds, where default is always possible no matter how strong the issuer looks.Emerging market ratings can be misleading. A BB rated company in an emerging market may have a lower default rate than a BBB rated US company, since emerging market firms typically need far more financial maturity just to access public bond markets in the first place.

Chris, Andrew, and David catch up after a missed week of recording and quickly dive into the kind of deeply practical Rails work that only comes from real production pain. Andrew shares the massive subscription and billing migration happening at Podia, including Stripe edge cases, legacy plan preservation, and stress-test tooling built from live scenarios. Chris then goes deep on a Hatchbox email cancellation flow that turns into a Rails internals rabbit hole around Action Mailer callbacks, mail delivery cancellation, and a tiny Rails PR born from production debugging. Hit download now to hear more! LinksJudoscale- Remote Ruby listener giftPodiaSupport only: and except: on _deliver callbacks in ActionMailer #57581Improve documentation/testing of abort in Action Mailer ‘before_action #57489Mailbin- GitHubHoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleMake your deployments bulletproof with autoscaling that just works.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Chris Oliver X/TwitterAndrew Mason X/TwitterJason Charnes X/Twitter

Your Stripe account closed and Stripe is still holding your funds? Here's what's actually happening and how to recover Stripe money faster. When Stripe shuts down your account, your remaining balance doesn't get sent to your bank automatically. Instead, Stripe moves those funds into a reserve and holds them — typically 90 to 180 days, sometimes longer — to cover any refunds or chargebacks that come in on past transactions. For high-risk businesses or accounts with messy chargeback history, that hold period can extend even further. In this episode, Maria walks through what happens to your money after a Stripe account shutdown, why the reason you were shut down directly affects your chances of getting paid out, and the exact steps you can take to push for a faster fund release. She also covers one critical mistake founders make with their company and bank account that creates serious delays — and how to avoid it.

You Didn't Get SpaceX? Don't Worry, There Are Other Mega IPOs Coming You may feel like everyone got into SpaceX except you, and now you're wondering: Should I buy shares today? Is there something better coming next? The reality is that several other massive IPOs could be coming sooner than many investors realize. At the top of the list are OpenAI, with an estimated valuation of $852 billion, Anthropic, with an estimated valuation of $965 billion, Stripe, with an estimated valuation of $159 billion, and Databricks, with an estimated valuation of $134 billion. Before you get too excited about these potential offerings, or beat yourself up for missing SpaceX, consider what the historical data tells us. Research examining 1,724 U.S. IPOs between 2011 and 2024 found that the average IPO gained approximately 23% on its first day of trading. However, over the following three years, those same IPOs underperformed the broader market by an average of 25 percentage points. The study also found that since 1980, companies coming public with at least $100 million in annual sales and a price-to-sales ratio above 40 experienced an average decline of 45% from their first-day closing price. For current SpaceX shareholders, there could still be a near-term catalyst. Under Nasdaq's fast-entry rules, newly public companies can become eligible for inclusion in the Nasdaq-100 after just 15 trading days. However, both the S&P 500 and the Dow Jones indexes currently maintain a 12-month waiting period before new companies become eligible for inclusion. If your appetite for risk remains high, you'll likely have opportunities to speculate on OpenAI, Anthropic, Databricks, and other AI-related companies when they eventually go public. But an interesting question remains: When these AI giants hit the public markets, will investors who bought SpaceX at the IPO decide to sell some of their shares and rotate into the next hot AI opportunity? There are plenty of unanswered questions, which is exactly why we prefer not to invest based on hype, headlines, or fear of missing out. Instead, we focus on financial fundamentals, valuation, cash flow, and long-term business quality. Exciting stories can drive prices higher for a while, but over time, fundamentals tend to matter most.   What Can the Nifty Fifty and Tech Bubble Teach Us About Today's Market? Every market cycle has a story. In the early 1970s it was the "Nifty Fifty." In the late 1990s it was the internet and technology boom. Today it is artificial intelligence. The late 1990s we saw the technology boom where the internet was a revolutionary innovation that truly changed the world. Investors were correct about the technology but wrong about what they should pay for it. Companies with little revenue and no profits traded at astronomical valuations. The Nasdaq saw a five-fold increase between 1995 and early 2000. When the bubble burst, the fallout was severe. The Nasdaq ultimately lost almost 80% of its value. Hundreds of companies disappeared. Even industry leaders such as Cisco, Intel, and Microsoft experienced stock declines of 50% to 90%. Many investors assumed technology would continue growing forever and overlooked the simple fact that stock prices had already discounted years of future success. After peaking in March 2000, it took over 15 years for the Nasdaq to reclaim its previous high in April 2015. Often times I hear people say this time is different because unlike many internet companies in 2000, today's AI leaders are highly profitable businesses generating enormous cash flow. So, let's take a look at the Nifty Fifty as another, maybe more similar example. The Nifty Fifty era was built around the belief that a small group of dominant companies were so good that valuation no longer mattered. Investors piled into stocks such as Coca-Cola, IBM, Xerox, Polaroid, McDonald's, Sears and others. These companies were viewed as "one-decision stocks “buy them and never sell them. Investors would make excuses for the valuations because the businesses were strong. Through 1972, these firms averaged 22% annual earnings growth over the previous five-year period and had great profitability with an average return on equity over 22%. The problem was as enthusiasm grew, valuations expanded dramatically, with many trading at 40 to 60 times earnings despite an economy growing much slower. Then reality arrived. The 1973-74 bear market combined with inflation, rising interest rates, and an economic recession caused many of these stocks to fall 50% to 80%. The S&P 500 fell over 14% in 1973 and more than 26% in 1974. Most of the companies survived and remained successful businesses, but investors who paid excessive prices often waited a decade or longer to earn satisfactory returns. Today's AI boom has similarities to both periods. Like the Nifty Fifty, investors are concentrating heavily in a small number of dominant companies. Like the tech bubble, there is widespread excitement surrounding a transformational technology that is likely to reshape entire industries. However, history reminds us that even great companies can become poor investments when expectations become too optimistic. During every major market cycle, investors eventually discover the difference between a great business and a great stock. The key lesson from both the Nifty Fifty and the dot-com era is that transformative technologies often live up to their promise. What investors frequently get wrong is the price they are willing to pay for that future growth. AI may ultimately be every bit as revolutionary as investors believe. The bigger question is whether today's stock prices already reflect much of that future success. As we've learned from previous cycles, when expectations become too high, excellent results may not be enough to satisfy the market.   Private Credit Funds Are Facing High Redemption Requests Again This Quarter For the first quarter of 2026, redemption requests in several private credit funds exceeded the industry-standard 5% quarterly redemption cap. Second-quarter requests appear to be even higher. BlackRock's flagship private credit fund received redemption requests totaling 13.3% of fund assets, up from 9.3% in the first quarter. BlackRock has indicated it will continue to honor only up to 5% of redemption requests per quarter. Blackstone is facing a similar situation. Investors requested redemptions equal to roughly 10% of fund assets, and the firm also appears committed to maintaining its 5% quarterly redemption limit. Cliffwater may be facing the greatest pressure. Its $31 billion private credit fund received redemption requests totaling 17% of fund assets, far above the amount investors can currently withdraw and higher than the roughly 14% that was requested in Q1. Private credit funds have been dealing with a number of challenges, including rising loan losses, fraud concerns, and significant exposure to software companies. Many software businesses are facing pressure as investors question how artificial intelligence could impact their future growth and profitability. During BlackRock's last earnings call, CEO Larry Fink stated that institutional investors such as pension funds and insurance companies continue to allocate capital to private credit strategies. I don't want to call the man a liar, but it does seem strange that with all the problems that private credit is having I would think institutional funds would also be pulling back from investing. One would expect at least some institutional investors to become more cautious as risks increase. What concerns me most is the continued use of redemption gates. The longer funds limit withdrawals to 5% per quarter, the more investors may worry about liquidity. That concern can become self-reinforcing, leading more investors to submit redemption requests. If that happens, redemption demand could continue to rise in future quarters, creating additional pressure on the industry.   Investors Turn a Blind Eye to Fundamentals For many years, successful investing was built on analyzing company fundamentals. Today, however, there is a growing trend toward speculation and gambling. Many investors simply do not seem to care about valuation or earnings and instead believe stocks will continue to go "to the moon." Tesla is a good example. Three years ago, Wall Street analysts projected that Tesla would generate $163 billion in revenue by 2025. The actual figure came in far lower at $94.8 billion, more than 40% below expectations. Historically, missing growth expectations by such a wide margin would have been a major disappointment for investors. Yet Tesla shares have risen roughly 59% over the last three years despite falling well short of those revenue projections. There are other signs of speculation throughout the market. Thirteen years ago, there were only 39 private companies valued at more than $1 billion. Today, there are over 800. This trend highlights two important developments. First, private companies are staying private much longer, allowing early investors to capture a greater share of the value creation before public investors have an opportunity to participate. Second, investors are assigning much higher valuations to these businesses, many of which have little or no earnings and, in some cases, no positive cash flow at all. Markets can remain driven by optimism for long periods of time, but eventually fundamentals matter. The challenge for investors is determining when sentiment and speculation have pushed prices too far ahead of reality.   Headlines Say Crisis, Economic Data Says Otherwise The economy continues to show surprising resilience despite concerns surrounding higher energy prices and the conflict involving Iran. Many investors expected consumers to pull back as gasoline prices surged and headlines focused on geopolitical risks. Instead, economic data suggests the U.S. consumer remains in good shape. Retail sales in May rose 6.9% from the prior year, exceeding expectations and demonstrating that consumers are still willing to spend despite higher fuel costs. Even excluding gasoline stations, retail sales increased 5.4%, showing that spending strength was broad-based rather than simply a reflection of higher energy prices. Online sales, clothing purchases, restaurant spending, and other discretionary categories all contributed to the gains. Housing is also showing signs of stabilization. Pending home sales, which measure signed contracts on existing homes, rose 3.8% in May to the highest level in six months. The increase was well above economist expectations and marked a 4.8% improvement from a year ago. What makes these numbers particularly impressive is that they occurred while mortgage rates remained above 6% and energy prices were elevated because of Middle East tensions. Buyers and consumers appear to be adapting to a higher-rate environment rather than waiting indefinitely for lower borrowing costs. This does not mean there are no risks. Higher energy prices act like a tax on consumers, and housing affordability remains a challenge. However, the latest retail sales and housing data suggest the economy is far from rolling over. For investors, this is another reminder that economic fundamentals often matter more than headlines. While markets may focus on wars, oil prices, and geopolitical uncertainty, consumers are still spending, homes are still being purchased, and the economy continues to move forward.   The Most Important Part of the Fed Meeting Wasn't the Rate Decision The Federal Reserve's June meeting marked one of the biggest shifts in Fed communication and leadership in decades. As expected, the Fed left interest rates unchanged at 3.50%-3.75%, but the details beneath the surface were far more important. For the first time since 1951, a former Fed chair will remain on the Board after stepping down as chairman. Jerome Powell's decision to stay on as a governor creates an unusual dynamic as new Chairman Kevin Warsh begins reshaping the institution. Historically, outgoing Fed chairs have typically left the Board when their chairmanship ended. Warsh wasted little time signaling change. The Fed announced five new task forces that will review key aspects of monetary policy and Federal Reserve operations, including inflation frameworks, the Fed's balance sheet, its reliance on data sources, and productivity and jobs and the impact of artificial intelligence and other transformative technologies. The reviews are expected to produce recommendations later this year and could shape how the Fed operates for years to come. Perhaps the most noticeable change was the Fed statement itself. The policy statement was significantly shortened and went from above 300 words recorded in recent meetings to around 130 wors. It also removed much of the forward-looking language that investors had grown accustomed to under previous leadership. Language that suggested a bias toward future rate cuts was eliminated, reflecting a more data-dependent and less guidance-driven approach. The updated projections were also more hawkish than many expected. Nine of the 18 policymakers who submitted forecasts now expect at least one rate hike before year-end, while the other nine see rates remaining unchanged or moving lower. The result is a Fed that appears deeply divided on the path forward as inflation remains above target. Another major headline came from Warsh himself. Only 18 of the Fed's 19 policymakers submitted a forecast in the quarterly dot plot, with Warsh confirming that he did not provide one. As a long-time critic of forward guidance, Warsh appears to be signaling that the Fed may gradually move away from one of Wall Street's most closely watched communication tools. Half of the committee is worried inflation remains too high and believes rates may need to move higher. The other half sees little need for additional tightening. This sets the stage for Warsh's hope for a “family fight” as he believes more disagreement will lead to a better discussion so the Fed can finally deliver on price stability. While the rate decision itself was unanimous, the projections revealed a growing divide beneath the surface. The takeaway is clear: while rates didn't move, the Federal Reserve did. A shorter statement, less forward guidance, a chairman who won't publish his own rate forecast, five new policy task forces, and a committee split down the middle on the direction of rates all point to a Federal Reserve that looks very different than it did just a few months ago. The era of predictable Fed communication may be ending, and markets will have to adjust.   Financial Planning: Give More, Pay Less with Appreciated Stock One of the most tax-efficient ways to support a favorite charity or church is by donating appreciated stock instead of cash. When stock that has been held for more than one year is gifted directly to a qualified charity, the charity receives the full market value of the shares and can sell them without paying tax because it is a tax-exempt organization. The donor generally receives the same charitable income tax deduction they would have received had they donated cash, while also avoiding the realization of any capital gain. For example, if someone is considering donating either $50,000 of cash or $50,000 of appreciated stock, the charity receives the same economic benefit in either case, $50,000 that can be used to further its mission. Likewise, the donor generally receives the same $50,000 itemized charitable deduction. The difference is that if the stock was originally purchased for $20,000, donating the shares allows the donor to avoid recognizing the $30,000 capital gain. If the donor still wants to own the investment, they can use the cash that otherwise would have been donated to repurchase the shares, effectively increasing their cost basis from $20,000 to $50,000 and reducing future taxable gains.   Companies Discussed: Accenture plc (ACN)

Crecer sin destruir aquello que te hizo exitoso es más difícil de lo que parece. Hay empresas que escalan en ingresos, en clientes y en personas, pero en el camino pierden velocidad, claridad y su cultura se rompe por completo. Stripe enfrentó ese desafío y encontró una solución. En este episodio de Código Abierto analizamos el caso de Stripe, una empresa que pasó de 200 a más de 7.000 personas, entendiendo que el reto no era contratar más talento. Era construir sistemas que permitieran escalar sin perder identidad. Lo que descubrirás en este episodio - Cómo Stripe logró escalar miles de personas sin burocratizarse - Las lecciones de la autoconciencia operativa. - Cómo funciona el Scaling People. - La importancia de la contratación con propósito. Suscríbete a Hackers del Talento si quieres más análisis reales de estrategias de talento. __________________________________________________________________________

Today, Hunter was joined by John Haried a career prosecutor in the Department of Justice. After more than 30 years with the Department, John walked away after seeing the abuses in under the Second Trump Administration. Today, he joined the show to help us understand why he left.   Guest: John Haried, Former Director of Electronic Litigation, Department of Justice   Resource:   Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

In this episode of Run the Numbers, CJ sits down with Jake Kornreich, CFO of CoLab and former CFO of Own, live from the New York Stock Exchange. Jake breaks down the six-part framework behind Own's $2.1B sale to Salesforce, why “control your destiny” matters, how CFOs should think about IPO readiness, board communication, share price theater, and why great finance leaders operate beyond the spreadsheet.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/jake-kornreich/Company: https://www.colabsoftware.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comTIMESTAMPS:0:00 Preview and Intro2:20 First stock3:28 Benefits of going public today5:42 Come-up: chief of staff to CFO6:31 Running HR like a sales org8:32 Control your destiny9:24 Synergies with Salesforce10:09 Sponsors — Rillet | EY | SpendHound13:10 Do your own ROI due diligence14:40 Share price equals entertainment16:26 Disciplined execution17:45 Performance, not stories19:24 Activist investors and the acquirer's board20:13 Write the memo for the other side20:45 Sponsors — Brex | Aleph | RightRev24:02 Triangulate your way to success25:18 Your board takes snapshots, you run the movie26:21 Knowing when to sell27:16 Valuation limits your exit options27:38 Stakeholder comms during the acquisition29:58 CFO as operator, not just function31:31 What is CoLab?32:09 Why Jake joined post-Series C33:50 Personal product market fit for CFOs35:27 Lightning round35:42 Screwed up: $5M budget error36:17 Advice to younger self36:41 Finance software stack37:34 Culture of expense discipline38:22 Credits

Niels Provos on why you don't need a frontier model to find zero days, why the Vulnpocalypse is overstated, and how security invariants change the game.DescriptionNiels Provos has spent twenty-five years in security, from writing bcrypt to running security at Google and Stripe, and he came on to push back on the panic around AI and vulnerabilities. He explains why finding zero days is an orchestration problem rather than a frontier-model problem, using his Iron Curtain runtime and an open-weight model to surface net-new bugs for the cost of a cheap scan. We get into security invariants and egress control, why remediation is the real bottleneck, why AI coding tools ignore the security abstractions you build, and why someone this technical keeps coming back to incentives over technology.Key takeawaysYou don't need a frontier model to find zero days. Niels used his Iron Curtain runtime and an open-weight model to surface net-new vulnerabilities, which is why he calls this an orchestration problem rather than a frontier-model problem.The Vulnpocalypse framing is overstated. Companies already sit on more vulnerabilities than they can manage, so more findings do not fundamentally change the picture, and the catchy panic mostly drives engagement.Security invariants beat patching one bug at a time. An invariant is an infrastructure guarantee enforced without ongoing human judgment, which makes entire classes of vulnerabilities irrelevant instead of chasing each one.Egress control is the canonical example. If a production service can only reach a few known domains, most vulnerabilities never get to fetch a second-stage payload, so the exploit chain stalls.The log4j story shows why it matters. As head of security at Stripe, egress control meant the malicious download could not execute, so the team had room to patch calmly instead of fighting an emergency.Remediation, not discovery, is the harder problem. The quality bar of not breaking working code in production is what keeps fixing slow, and AI has not solved that yet even as it makes finding cheap.AI coding tools ignore the security abstractions you build. When Niels asked Claude to add an endpoint to a carefully structured project, it bypassed his abstractions and wrote raw code, which is why frameworks need to be secure by default.The harness is the moat. A finite state machine that decomposes vulnerability finding into stages, each with a fresh context and a tight prompt, gets reliable results from weaker models that otherwise lose the plot.It is the incentives, not the technology. Companies do just enough security to avoid looking negligent, so without accountability shifting through something like Europe's NIS2, better tooling alone will not change outcomes.Open source maintainers need to be empowered. They often cannot afford the latest models or the tokens to run them, yet everyone builds on their free work, so helping them fix vulnerabilities has the broadest payoff in the ecosystem.

Before he founded Render, Anurag Goel was the fifth engineer at Stripe, where he watched roughly a fifth of the engineering team disappear into managing AWS, writing brittle, repetitive, error-prone infrastructure scripts that had nothing to do with the actual product. That experience became the seed for Render: a platform that automates away the undifferentiated DevOps work and lets application teams ship without standing up their own cloud team. Today, millions of developers build on it, and Render has raised over $260M from Bessemer and General Catalyst. In this episode, Tobi and Anurag get into what's actually changing as AI moves from hype to production. Anurag makes the case that agents are simply a new kind of application, long-running, stateful, tool-heavy, and a new kind of end user you have to design for. He explains why Render deliberately refuses the "AI cloud" label, what he's building with Workflows and sandboxes, and why the hardest part of shipping agents isn't building them but seeing inside them. The conversation also goes wide: how to hire executives when interviews lie, why short-lived keys and blast-radius thinking matter more than container escapes, how distribution is shifting from SEO to getting ChatGPT and Claude to recommend you, and why, despite all the "SaaS is dead" noise, specialization isn't going anywhere. Topics covered: Why ~20% of Stripe's engineers were stuck managing AWS and how that became Render "We're not the AI cloud, we're the application cloud," and why the distinction matters Agents, as a new type of application (and a new end user), you have to build for Render Workflows and sandboxes: the consolidated AI runtime Hiring executives when interviews are an imperfect signal Security as blast-radius management: short-lived keys over "admin forever" The shift from SEO to GEO, getting chatbots to recommend your product Why SaaS isn't dying, and specialization still wins

PHP Podcast – June 17, 2026 Hosts: Sara Golemon & Holly Schilling | Guests: Paul Reinheimer & Sean Coates Eric and John are still locked in the basement. Sara is literally on a boat in Spain. Normal show, totally normal. Sara Broadcasts from a Harbor in A Coruña Sara is joining this week’s show from a marina in A Coruña, northwest Spain — in the Galicia region, where they speak Galician (not quite Spanish, not quite Portuguese). It’s 1am local time and the boat is visibly rocking on camera. Holly is holding down the fort from Chicago. This is what Sara calls pirate radio, except one of the pirates is actually on a boat. Meet the Guests: Paul Reinheimer & Sean Coates Paul Reinheimer and Sean Coates are PHP veterans from an earlier era — both were closely involved with PHP Architect around 2005–2010, back when Sara was already a PHP core contributor and the community was small enough to fit in one bar. Paul now runs Wonder Proxy, a service that lets you test your website’s behavior from locations around the world (checking GDPR banners, geo-targeted content, checkout flows, etc.), and is also building a startup called StudioWorks — business management software for creative studios, with an invoicing product and a proposals product in development. Sean is based in Montreal and has been spending time at a local hackerspace called Food Lab, where he got pulled into MeshTastic and MeshCore mesh networking, and is now surrounded by vintage computers, including a PDP-11 and five-and-a-quarter-inch floppy disks. The Quarter-Million-Line Commit Paul committed 250,000 lines of code directly to Wonder Proxy’s repo without a PR last week — and he’s not particularly sorry about it. The context: it was a pre-generated SQLite amalgamation file (all of SQLite compiled into a single C file), which Wonder Proxy is now checking in as a pinned static dependency rather than regenerating each build. Paul’s argument is unanswerable: you cannot meaningfully review 250,000 lines of generated C code in a PR. If there’s something malicious in there and you’re good with C, you could hide it in parameterized defines and no one would see it. The right approach, which Paul landed on, was creating a separate package with its own CI — and including the command to regenerate the amalgamation so reviewers can verify the output themselves, not just stare at the diff. Measuring Wrong — Sean’s Rant Sean has been ranting about this for 10–15 years and it hasn’t gotten less true: companies systematically measure things that make them look good and avoid measuring things that make them look bad. A marketing team adds a spin-to-win wheel to the homepage and celebrates their 1% sales increase. Nobody measures how many people found the wheel so obnoxious they immediately left. Cookie and GDPR banners are the same story — they go up, they’re never removed, and the conversion impact is never tracked because nobody wants to report bad news up the chain. Sean’s broader point: an epidemic of motivated measurement is a big part of why the web is as bad as it is. PHP in 2026 vs. PHP Then — What’s Still Working Paul’s honest take: the LAMP stack still works great. In 2004 you could build a productive web application with Linux, Apache, MySQL, and PHP — and you still can today. The fundamental approach is the same. Having since done Ruby at Stripe and other languages elsewhere, Paul keeps coming back to how much sense the PHP model makes to him. The longevity is the feature, not a bug. Wonder Proxy’s web app — built in server-side Swift using the Hummingbird framework — returns pages in under 50 milliseconds almost always and under 30 most of the time, with almost no client-side JavaScript. Server round trips are fast. The web doesn’t have to be seven seconds. Swift Concurrency and What PHP Could Learn Sara asked Sean — who has used Swift on the server for StudioWorks — what he’d want to see in PHP’s threading model. His answer: anything the compiler can enforce beats anything you have to remember yourself. Swift’s concurrency model has the compiler reject code that would allow a thread to trample on a sendable object after it’s been sent off. You find out about threading mistakes at compile time, not when corrupt data shows up in production. Sean’s verdict: an early warning system for threading problems is 10,000 times more valuable than discovering them too late. PHP’s async/await path is cooperative task switching (not true threading), which avoids some of these issues but can still deadlock if someone forgets to hand off control. Composer, require_once, and Supply Chain Security The chat raised whether anyone still uses require_once in the PSR-4 world. Sara’s answer: PHP.net does — it doesn’t use Composer at all, because the site needs to be framework and library agnostic. Grep for require_once across typical vendor dependencies and you’ll find around 100 instances still in the wild, mostly inside packages like Doctrine. The supply chain security conversation from there: Composer’s lock file pins to specific hashes, which is what you want — but a lot of projects don’t commit their lock file, and pinning to a version tag isn’t enough because tags can be updated if someone takes over a GitHub account. To really be safe, pin to a specific commit hash. It’s a pain to maintain, but it’s much harder to fake. The PHP Foundation — The Biggest Change in PHP Paul called out the PHP Foundation as the single biggest change in PHP since he and Sean were actively involved. Having an organization that can receive money from individual supporters and use it to fund core PHP work has been talked about since before PHP had package management. The foundation now has over 1,000 individual supporters — including Rasmus Lerdorf himself, which Sara found funny. Paul and Wonder Proxy support it financially; Wonder Proxy also holds a private Packagist account as an indirect way to fund Composer development. Sara works directly with the foundation on PHP core. Elizabeth Barron (from last week’s show) is doing exceptional work moving it forward. PHP.net Redesign and the Dark Mode Problem Sara copped to a php.net rabbit hole: she tried to implement dark mode for the site and succeeded everywhere except code samples. PHP’s built-in highlight_string() function has hard-coded colors that assume a light background, and there’s no way to override them. Sara wrote the patch to make the colors configurable at the internals level, then realized it should actually be a separate PHP project, then lost track of caring about it because it became yak shaving. On the redesign side: the foundation ran a competition to redesign the releases page (the per-version page with changelogs and download links), and the results look much better. The downloads page has been getting more beginner-friendly content — how to actually get PHP running, not just a reference manual. There are homepage mockups being iterated on as well. What Talk Would You Give? Sara asked both guests what conference talk they’d give if they were speaking today. Paul: marketing for developers. Too many developers believe “if you build it, they will come,” and AI is making this worse — the barrier to shipping something that looks professional has dropped so far that the noise floor is rising fast. Hollywood knows to spend as much on marketing as on production. Paul doesn’t claim to be good at marketing, but he thinks someone should be giving this talk at every developer conference. Sean: reliable deployment and supply chain integrity — specifically how to actually control the path from git to production without sneaking in vulnerabilities. Containers have helped, but there’s still a lot of infrastructure that fetches things at build or request time that is genuinely dangerous. PHP Tek 2027 The PHP Tek 2027 website is live at phptek.io. No date confirmed on air, but the site is up and people should keep an eye on it. Links from the show: Wonder Proxy — Test your website from around the world PHP Tek 2027 — phptek.io The PHP Foundation — Support PHP development PHP Architect Discord Guest Hosts: Sara Golemon Currently sailing in the Atlantic (broadcasting from A Coruña, Spain) PHP core contributor; code contributor via the Curl project (which means she technically has code on Mars) Holly Schilling Primary mobile developer; built the PHP Tek 2026 conference app Based near Chicago, IL Guests: Paul Reinheimer Founder, Wonder Proxy — test your website’s geo-targeted behavior from 300+ global locations Founder, StudioWorks — business management tools for creative studios (invoicing & proposals) Former PHP Architect team member; wrote a book on PHP and APIs Sean Coates Based in Montreal; regular at the Food Lab hackerspace MeshTastic/MeshCore mesh networking enthusiast; vintage computer collector (PDP-11 era) Former PHP Architect team member and longtime PHP community contributor Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.17 appeared first on PHP Architect.

O paulistano Fábio passou a infância achando que seria desenhista, até que uma apresentação na escola despertou seu interesse por engenharia e o levou à Poli-USP. Lá, começou pensando em engenharia ambiental, passou pela elétrica e acabou escolhendo computação, área com a qual já tinha algum contato por meio dos pais e das primeiras experiências com HTML e CSS.Depois de quase dez anos trabalhando no Brasil, uma oportunidade na Amazon abriu as portas para o Japão, onde ele também pôde encurtar a distância de um relacionamento que havia começado em Taiwan. Mais tarde, em busca de projetos com maior impacto, mudou-se para Seattle, nos Estados Unidos, antes de deixar a empresa, tirar um período sabático e se estabelecer em Taiwan.Neste episódio, Fábio detalha essa trajetória, e comenta as diferenças culturais entre todos esses países e o Brasil, além das particularidades de se morar na terra onde mal se tem férias.Fabrício Carraro, o seu viajante poliglotaFabio Gusukuma, Engenheiro de Software na Stripe em Taipei, TaiwanLinks:LinkedIn fo FabioTechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões.#7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/Ouvintes do podcast Dev Sem Fronteiras têm 10% de desconto em todos os planos da Alura Língua. Basta ir a https://www.aluralingua.com.br/promocao/devsemfronteiras/e começar a aprender inglês e espanhol hoje mesmo! Produção e conteúdo:Alura Língua Cursos online de Idiomas – https://www.aluralingua.com.br/Alura Cursos online de Tecnologia – https://www.alura.com.br/Edição e sonorização: Rede Gigahertz de Podcasts

Plus: Dueling IPOs are forcing bankers at Goldman Sachs and Morgan Stanley to pick teams. And tech companies including Stripe, Google commit $915 million to pull carbon out of the sky. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

One of the most interesting projects in carbon removal is doubling down on the industry. Frontier — a coalition of tech, finance, and fashion firms that buy carbon removal credits to support the crucial technology — has secured another $915 million to power its next round of buying. The artificial intelligence giant Anthropic has also joined the coalition alongside its existing members, including Stripe, Google, JPMorganChase, and others.On this episode of Shift Key, Rob is joined by Hannah Bebbington Valori, who leads Frontier. They discuss the health of the carbon removal industry after a tough few years, how Frontier is changing its buying strategy for its newest round, and why Anthropic entered the coalition. Shift Key is hosted by Robinson Meyer, the founding executive editor of Heatmap News.You can find a full transcript of the episode here.Mentioned:AI IPOs Could Create a Wave of New Funding for Climate TechRob's most recent story on carbon removal: Carbon Removal After MicrosoftRob's original story about Frontier: We've Never Seen a Carbon-Removal Plan Like This Before--This episode of Shift Key is sponsored by ...Heatmap Pro brings all of our research, reporting, and insights down to the local level. The software platform tracks all local opposition to clean energy and data centers, forecasts community sentiment, and guides data-driven engagement campaigns. Book a demo today to see the premier intelligence platform for project permitting and community engagement.Music for Shift Key is by Adam Kromelow. Hosted on Acast. See acast.com/privacy for more information.

Need any advice or information, message us.We chat with Alex Stripe, owner and chief inspector of Stripe Signature Inspections, to discuss what every buyer should know before purchasing property in Costa Rica. Drawing on years of experience inspecting homes across the country, Alex shares what he's seeing on the ground in 2026, why not all home inspectors are created equal, and how buyers can find the right professional to protect their investment. The conversation dives into the unique challenges of owning property in a tropical climate, common construction defects, septic and water system concerns, and the red flags that should make buyers think twice. Alex also explains why even brand-new homes need inspections and reveals what he would personally invest in if handed $500,000 today.Free 15 min consultation:  https://meetings.hubspot.com/jake806/crconsultContact us: info@investingcostarica.comAlex Stripe: alex@stripeinspections.com

Zipline Roundtable episode: Building Real-Time ML Systems with Zipline + ChrononJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to ZiplineAI for the collaboration!// AbstractReal-time ML use cases like personalization and risk decisioning come with a unique set of challenges: serving fresh feature values at low latency for inference, generating temporally consistent backfills for training, and building complex chains of on-demand, batch, and streaming transformations. In this roundtable, practitioners from Intuit, CreditKarma, Depop, and OpenAI share how they use Zipline and the OSS Chronon project to solve these challenges and deploy real-time ML use cases in production.// BioGerman KrikorianGerman is a Software Engineer on the Feature Platform team at Credit Karma. Since joining the company during the early development of its recommendation system, they have played a key role in building and scaling the platform over the years. Their work focuses on feature pipelines and the feature store, which serves as critical infrastructure supporting numerous teams and business verticals across the organization.Ben MagyarBen is an engineer at Depop working on ML and data systems. Before Depop, he worked on Search at Etsy. Most of his work is around the infrastructure and operational problems that come with running ML systems at scale.Raj KatakamRaj architects ML Infrastructure at Credit Karma (Intuit). He holds a Master's in Software Engineering from Carnegie Mellon and a B.Tech in EECE from IIT Kharagpur. His interests include ML Infrastructure, Distributed Systems, Real-Time Data Processing, and Generative AI. His current focus is on providing feature engineering platforms, production GenAI infrastructure, vector databases, ML model serving, and MLOps pipelines for fraud detection, personalized recommendations, financial insights, and model explainability.Mick JermsurawongLed Flyte ML training/experimentation at Stripe, and now led Chronon for ML features at OpenAIHosted by Demetrios// Related LinksWebsite: https://zipline.ai/https://chronon.ai/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with German on LinkedIn: /e2zdkwh8cxghydg/Connect with Raj on LinkedIn: /rajkiran2190Connect with Mick on LinkedIn:/mick-jermsurawong/

פרק מספר 516 של רברס עם פלטפורמה - קרבורטור מספר 41. הפעם רן ואורי מארחים את נתי לשיחה על נקודת המפגש המרתקת שבין קוד פתוח לקידוד מבוסס סוכנים (Agentic Coding). דיברנו על העתיד הדיסטופי והאופטימי של מפתחי קוד פתוח, איך משווקים מוצרים ל-Agents, ולמה שורת הפקודה (CLI) חוזרת אלינו בענק. [01:04] העתיד המדומיין של AI (סיפורו של OpenClaw) נתי משתף סיפור משעשע על ניסיון לחקור את "OpenClaw". הזיות (Hallucinations) של מודלים: Claude מאשר את העובדות, בעוד ש-Gemini מנתח שמדובר בהמצאה עתידית (פברואר 2026). הבנה שמודלי שפה (LLMs) הם מנועים הסתברותיים ולא מנועי חיפוש עובדתיים. [05:58] החזון הדיסטופי: האם AI יהרוג את הקוד הפתוח? בעיית ההעתקה: בעבר קוד הוגן על ידי רישיונות (כמו AGPL), היום קל לבקש מהמודל לשכתב קוד משפה אחת לאחרת (למשל מ-NodeJS ל-Rust) בעלויות אפסיות. קריסת מודלים עסקיים: עלויות התמיכה והאופרציה (Operation) יורדות כי ה-Agent מתקן תקלות לבד, מה שחותך את ההכנסות של חברות כמו Red Hat. עומס על ה-Maintainers: קוד מג'ונרט על ידי Agents נראה מעולה ומתועד היטב, אבל לא תמיד נכון ארכיטקטונית או לוגית. גישות התמודדות: חלק דורשים לקבל את ה-Prompt (הכוונה) ולא את הקוד עצמו, בעוד שאחרים (כמו יוצר שפת Zig) אוסרים לחלוטין גישה של AI לפרויקט. [15:15] החזון האופטימי: שיווק לסוכנים (GEO) מעבר מ-SEO ל-GEO (Generative Engine Optimization): סוכני AI הם הלקוחות החדשים. איך Agent בוחר כלים? לפי איכות הקוד, הפופולריות שלו ב-GitHub, ובעיקר לפי התיעוד. קוד פתוח הופך לכלי שיווקי קריטי (Open Core) כדי שהסוכנים יוכלו למצוא, להבין ולהמליץ על המוצר. מודלים היברידיים ו-Freemium: מוצרים (כמו Postits) מציעים גישה ללא חומת תשלום (Paywall) בשלבים הראשונים, מה שמאפשר ל-Agents לעבוד איתם בקלות דרך API (Headless SaaS), ואפילו לבצע רכישות בעצמם בהמשך דרך Stripe. [30:29] שובו של ה-CLI ומגבלות ה-MCP הדיבייט סביב MCP (Model Context Protocol): הפרוטוקול כבד, "זולל" טוקנים (Token hungry) עבור הקונטקסט, ודורש תחזוקה של שרתים נוספים. למה Agents כל כך אוהבים CLI (שורת פקודה)? גישה ישירה לאקוסיסטם המקומי והרשאות (כמו Kubernetes או סביבות ענן) בלי לחשוף מפתחות לשירות חיצוני. יכולת לבצע מניפולציות מורכבות בצד הלקוח (Chaining, Grep, Sed) מבלי לשנות קוד ב-Backend, מה שהופך את המודלים לאנשי DevOps מעולים. [36:17] רישיונות קוד פתוח וה"נשמה" של המוצר האתגר באכיפת רישיונות (כמו GPL) בעולם שבו קשה להוכיח על איזה קוד המודל התאמן ואם בוצעה העתקה. הבדל חשוב בטרמינולוגיה: מודלים של "Open Weights" לעומת מודלים שה-Training Data שלהם באמת פתוח. תוכנה כיצירת אומנות מול קומודיטי (Commodity): האם קוד מג'ונרט יכול להחליף את החזון וה"נשמה" (Soul) של מפתחים בולטים? ההשוואה לעולם המוזיקה מדגישה שמשתמשים הולכים אחרי האומן והחזון, לא רק אחרי הקוד היבש. [50:25] רגולציה ומודלי Open Weights אורי מעלה נקודה מעניינת על החסימה של מודל Fable 5 / Mytos 5 (של Anthropic) למשתמשים מחוץ לארה"ב על ידי הממשל האמריקאי. ההשפעה של רגולציה: ה"תקרת זכוכית" הזו עלולה לפגוע בחברות המסחריות האמריקאיות בטווח הקצר, ודווקא לדחוף קדימה מודלים פתוחים (Open Weights) סיניים או אירופאים שאינם כפופים לאותן מגבלות. האזנה נעימה!

It's easy to look at successful companies and other people's successful careers and assume the path was obvious. The reality is that success feels messy. Claire Hughes Johnson, former COO of Stripe, joins Molly to explore how difficult moments distort our perspective and why some of the work we're proudest of often felt like failure while we were living it. Together they discuss resilience, uncertainty, leadership under pressure, and how to make decisions when you can't yet tell whether you're struggling or succeeding.For the full text transcript, visit https://www.ted.com/podcasts/worklife-transcripts Hosted on Acast. See acast.com/privacy for more information.

Today, Hunter was joined by Maggie Shepard and Bob McGovern. Bob and Maggie serve as communications directors for Public Defender agencies, and they joined to discuss how they are helping Public Defenders better engage with the media.   Guest: Maggie Shepard, Director of Communications, Law Offices of the Public Defender, New Mexico Bob McGovern, Director of Communications and Special Counsel, Committee for Public Counsel Services, Massachusetts   Resource: New Mexico LOPD https://www.lopdnm.us/offices/ CPCS https://www.publiccounsel.net/   Contact Maggie and Bob rmcgovern@publiccounsel.net maggie.shepard@lopdnm.us   Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

In this episode #18 of the Five Stripe Playbook, Nick and Drew offer the Five Stripe Fam the happiest podcast on the channel in a long time: Both the USMNT and the World Cup are more than a dream come true. Pulisic's domination, Balogun's breakout game, and Richards's return. Should anything change for Australia? Highlighting other World Cup games so far. And more! --------- We've launched written content for the 2026 season! Our newly dedicated writers room is working day and night to provide FREE written match analysis, breaking news, opinion pieces, and much more on your Atlanta United. Sign up for the FREE membership on Patreon to get all written content delivered straight to your inbox the moment we publish! Join us! http://patreon.com/atlutdfantv Donate: www.paypal.me/atlutdfantv --------- Find our podcast in audio form on your favorite podcatchers! --------- About Atlanta United Fan TV: We are created by fans for the fans of Atlanta United and soccer. Join the community to get in on the conversation! Bringing you fan cams, podcasts, vlogs, mini-documentaries and much more! If you're a Five Stripe, we want to hear from you! Whatever you want to say about ATL UTD you can say it in the comments below. And to get in touch with us, connect with us: INSTAGRAM: https://goo.gl/9uOLVn BLUESKY: @atlutdfantv.bsky.social TWITTER: https://goo.gl/5uc709 TWITCH: https://www.twitch.tv/atlutdfantv DISCORD: https://discord.gg/C4RXb2b FACEBOOK: https://tinyurl.com/y3ga5mst SNAPCHAT: atlutdfantv17 TIK TOK: atlutdfantv --------- #ATLUTD #UniteAndConquer #MLS Learn more about your ad choices. Visit megaphone.fm/adchoices

#266: Austen Allred is a technology entrepreneur, education innovator, and Y Combinator founder whose work has influenced the national conversation around workforce development, skills-based hiring, and alternative pathways to technology careers. He is the founder and CEO of Gauntlet AI an intensive AI engineering talent platform that partners with employers to identify and develop elite AI-native engineers. Previously, he co-founded Lambda School, later rebranded as BloomTech, one of the most recognized coding academies of the past decade, helping pioneer income-share agreements and raising more than $100 million from leading investors, including GV, Y Combinator, and Stripe.Before founding BloomTech, Allred co-founded the citizen journalism platform Grasswire and co-authored the bestselling growth-marketing book Secret Sauce. His perspectives on entrepreneurship, education reform, and the future of work have been featured in publications including Harvard Business Review, The Economist, WIRED, Fast Company, TechCrunch, and The New York Times. Today, he is widely recognized for his efforts to rethink how top technical talent is trained and deployed in the age of artificial intelligence.

Every year, Apple's Worldwide Developers Conference introduces updates that ripple through the App Store economy for years to come. In this special post-WWDC edition of Sub Club Live, host David Barnard sits down with RevenueCat developer advocate Charlie Chapman and world-renowned growth expert Thomas Petit to cut through the keynote hype. Together, they analyze the technical realities and strategic implications of the biggest announcements coming out of Apple Park.Rather than offering a generic recap of consumer features, the panel focuses entirely on the practical mechanics that impact subscription app growth, retention, and monetization. From the deprecation of SiriKit in favor of mandatory App Intents to the introduction of App Store Creative Assets and new subscription bundling options, this session provides a clear roadmap of what subscription businesses should test immediately, adopt eventually, or safely ignore.More content from the RevenueCat family:

 EPISODE DESCRIPTION In this episode, I sit down with Prakash Kamraj, co-founder of DeCharge Network, to explore one of the most overlooked intersections of Web3 and the physical world: EV charging infrastructure. Prakash walks me through how DeCharge is building an Airbnb-style model for EV chargers, where anyone , from a business owner to a crypto community member , can host a charging station and earn passive income from it. We dig into why the B2B market is the real engine of EV growth, how DeCharge keeps the user experience dead simple with a scan-and-pay web app, and why autonomous charging powered by crypto payment rails could be the next massive wave. We also get into the surprising EV adoption stories across India, China, Southeast Asia, Ethiopia, and beyond. Whether you're an EV owner frustrated by fragmented charging apps, a crypto builder looking for real-world use cases, or an investor trying to spot where energy infrastructure is heading, this conversation is packed with sharp thinking and hard-won lessons from the ground up. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT DeCharge Website: https://www.decharge.ioScout App: https://scout.decharge.ioTwitter/X:https://x.com/DeChargeTelegram: https://t.me/dechargecommunityWeb3 with Sam Kamani: https://www.web3pod.xyz KEY POINTS WITH TIMESTAMPS • [00:01] Sam introduces Prakash Kamraj and DeCharge Network, framing it as an Airbnb for EV chargers• [01:09] Prakash shares his background , from medical field to engineering, health tech startups, and catching the crypto bug in 2017• [03:36] How deep involvement in the early Solana ecosystem in India shaped Prakash's builder mindset• [05:33] The core problem: not enough EV charging infrastructure globally, with one charger for every 80 vehicles on average• [06:33] Sam shares firsthand observations from Guangzhou , nearly 100% EV adoption on the streets• [09:25] The personal range anxiety story that validated the problem , getting stuck at 9% battery in Denver in winter• [10:30] Why copy-pasting the Helium model doesn't work and why a more nuanced distributed model was needed• [11:00] DeCharge's three-pillar model: community-owned slow chargers, fast charger funding pools, and a software network incentive for charge point operators• [14:15] How the business model works , revenue share with hosts, transparent dashboards, and community-funded infra• [17:01] The user experience: scan a QR code, pay as you go, no app download required• [19:31] Why DeCharge integrates with default local payment apps (UPI, Promptpay, Stripe) instead of forcing new behavior• [23:16] Why India isn't lagging , 70% of EV usage is commercial, driven by food delivery riders and ride-sharing fleets• [25:40] Southeast Asia generates 80% of DeCharge's current network revenue• [27:21] Biggest challenges: avoiding R&D rabbit holes, sticking to first principles, and iterating fast across hardware and software• [29:05] Funding journey: seed round led by Lemniscap, first Asian startup in Colosseum's hackathon ecosystem• [32:06] Contrarian view: autonomous EV charging powered by crypto payment rails is the next major wave• [33:30] Energy is the truest form of currency , especially as AI data centers drive massive power demand• [35:14] The ask: charge point operator partnerships, community members, and VC conversations welcome• [39:19] The Scout app , a community-curated tool to map charger density and identify demand hotspots at scout.decharge.io

In this episode of Run the Numbers, CJ sits down with Dan Bettes, CFO of SoundCloud, at the New York Stock Exchange. Dan breaks down how SoundCloud operates as a two-sided music marketplace, how he thinks about liquidity between fans and creators, and why great finance leaders need to make forecasting feel owned by the business—SPONSORS:Aleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metrics—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/danielbettes/Company: https://soundcloud.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Preview and Intro2:17 First stock: a Vanguard index fund3:13 Most memorable IPO: Groupon4:54 Benefits of going public have changed5:47 SoundCloud and the music industry7:21 Three eras: physical, streaming, creator platform8:49 Streaming unbundled the album10:03 Artists don't need labels anymore11:40 Sponsors — Aleph | RightRev | Rillet15:00 SoundCloud's two-sided business model16:23 Touring replaced the album17:17 First metric every morning: net adds18:31 DAU vs. MAU: it's a funnel19:14 Viral moments and exogenous pops20:10 LTV and the subscription funnel21:38 Sponsors — EY | SpendHound | Brex24:35 Tops-down vs. bottoms-up: reconcile both26:21 Revenue is an output27:45 Handling forecast deviation29:24 How often to reforecast30:23 The final boss: indirect cash flow statement33:09 Cash vs. EBITDA fluency35:04 Plain English and the power of reps36:52 Tailor the message to the audience37:45 Lightning round37:45 Screwed up: miscounted corn at a banquet38:41 Lean into discomfort39:55 Craziest expense: a post-flight massage40:17 Credits

What does it take to walk away from a decade in product, and a job most people would envy, to bet on yourself?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Peter Yang, who just left his product lead role at Roblox to go full-time on his newsletter and podcast, Behind the Craft and build his own projects. Peter talks through the trade-offs of solopreneur life, why his calendar is suddenly empty, and how he uses an AI personal advisor with three principles to decide what to say no to.They explore his day-to-day AI builder stack, from running Codex as a daily driver to using Hermes for his recurring scheduled tasks, his working definition of slop and why he guards against it, and what he's actually measuring as success now that nobody is handing him a promotion.If you're a PM weighing whether to leave a stable job to build on your own, a creator trying to scale output without sliding into slop, or anyone wiring AI agents into their daily work, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

"A letter is a joy of Earth — It is denied the Gods —," sez Emily Dickinson (#1672), and THE MAN WHO READ EVERYTHING: The Literary Letters of Harold Bloom (Yale University Press) proves it! Heather Cass White rejoins the show to talk about editing Harold Bloom's letters for the book, her history with him and what she learned about him over the course of the project, and how the letters revealed a less determined Bloom and how she empathized with the struggles he went through in his career. We get into the people whose correspondence she included — Alvin Feinman, Northrop Frye, AR Ammons, John Hollander, John Ashbery, James Merrill, Henri Cole, and Ursula K Le Guin — and all the writers and critics she wishes she could have included, the books and projects Bloom proposed but never completed (or started) over the years, the fun she had writing the footnotes, the one person Bloom was intimidated to meet, Bloom's role in the Canon Wars 30-40 years ago (and my practice of checking off books from The List at the end of The Western Canon), where he fell on Ashbery vs. Ammons, and whether marriage is the true subject of literature. We also discuss how her next book on the correspondence of Elizabeth Bishop and Marianne Moore is the opposite of this one, her go-to books to teach American fiction, why she dropped out of Knausgaard before the finish line, how students have & haven't changed over a quarter century of teaching, her late arrival to Surfjan Stevens' music, how I solved her long-standing question about a moment from Bloom's memorial, and a lot more. Follow Heather on Instagram • More info at our site • Support The Virtual Memories Show via Stripe, Patreon, or Paypal, and subscribe to our e-newsletter

Anthropic's new Claude Fable 5 is both the best model in the world and potentially one of the most dangerous.

Enjoying the ad-free show? Please consider supporting it! Patrons get monthly bonus episodes, perks, and priority on their knitting questions. Lots of lively conversation, a book club and knit-along too! www.patreon.com/verypinkknits Many thanks to Turtlepurl for supporting the podcast! Check out the self-striping yarns on their website - www.turtlepurl.com Coupon code information: For 10% off the total purchase *Excluding mini skein bundles or knitting needles* A special note to Turtlepurl's US customers from Emily, "I am thrilled to share that Turtlepurl Yarns is CUSMA-approved (no tariffs/no extra fees)! Thank you for your continued support!" June Code - JUN26VP Quaking Aspen Wrap Zasio Sweater Coat Long Tail CO, thumb method Long Tail CO, slingshot method Our links Polly's Instagram Polly's Ravelry Notebook VeryPink Instagram Verypink.com VeryPink Knits YouTube Channel Staci's Ravelry Notebook Sign up for the free VeryPink Knits weekly newsletter

Today, Hunter was joined once again by Eric Tindal, a criminal defense lawyer in Iowa. He joined to explain issues Public Defenders in Iowa are facing. While the contract system is on the verge of breaking, the Public Defenders secured a major win for the right to stand up against excessive workloads. With the challenges the system faces, the two discuss if new tough on crime polices will be the straw that breaks the camels back?   Guest: Eric Tindal, Criminal Defense Lawyer, Iowa   Resource: Contact Eric eric@keeganlegal.com   Read about the Supreme Court Case Here https://www.iowacourts.gov/courtcases/24301/embed/SupremeCourtOpinion   Contact Hunter Parnell:      Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home **** ALL OPINONS SHARED BY HOST HUNTER PARNELL DO NOT REFLECT THE THOUGHTS OR OPINIONS OF THE AURORA MUNICIPAL PUBLIC DEFENDER****  

On this week's show special guest co-host Chris Wade, the founder of Corellium turned Cellebrite CTO, joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. They cover: Microsoft has repos owned, GitHub tokens popped, and a new 0day dropped on them Meanwhile, researchers are choosing full disclosure instead of engaging MSRC Meta's AI support agent allowed a staggering 20,000 accounts to be stolen! Apple pulls Russia's MAX messenger from the App Store and disables notifications Anthropic gives the public our first Mythos-class model but it won't do cybersecurity work Stripe and Google Tag Manager used in eCommerce website hack campaign And much, much more! This week's show is brought to you by runZero. HD Moore, runZeros' founder, drops by in this week's sponsor interview to talk about the AI vibe shift. Everyone is very worried about getting owned all of a sudden, and it's really changing the cybersecurity business. This episode is also available on YouTube. Show notes Microsoft Hacked to Deliver Malware to Claude and Gemini Users | 404.feed.press Researcher publishes GitHub token-stealing exploit, blames Microsoft's disclosure process | therecord.media Microsoft Defender 'RoguePlanet' zero-day grants SYSTEM privileges | BleepingComputer Microsoft breaks Patch Tuesday record with 206 vulnerabilities | CyberScoop chompie1337 | X WhatsApp says NSO targeted users with spearfishing attacks in violation of court order | therecord.media Over 20,000 Instagram accounts stolen in Meta AI support hack | BleepingComputer New Apple feature automatically changes your compromised passwords | BleepingComputer Apple removes Russia's state-backed messaging app Max from its store | therecord.media Exclusive: Anthropic's Mythos can exploit new flaws in hours | Anthropic's new model is Mythos on a leash | CyberScoop Anthropic Offers Mythos Upgrade for Cyber Partners and a ‘Safe' Version for the Rest of You | wired.com OpenClaw AI agent found falling for phishing attacks, spills user data | BleepingComputer OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks | TechCrunch Security Hands on with Intelligent Terminal, an AI-powered Windows Terminal | BleepingComputer Seeking Counsel: Ongoing Targeted Campaign Against US Law Firms | Mandiant Check Point warns of zero-day flaw targeted by ransomware affiliate | Cybersecurity Dive ServiceNow discloses security incident exposing customer data | BleepingComputer Credit card theft campaign abuses Stripe to host stolen payment info | BleepingComputer CrowdStrike, Palo Alto Networks defy estimates as AI fuels cyber demand | Cybersecurity Dive The U.S. Military Quietly Turned GPS Into a Global ‘Numbers Station,' Evidence Suggests | 404.feed.press New 'HTTP/2 Bomb' DoS attack crashes web servers in under a minute | BleepingComputer Google has quietly cut staff across its Cloud business | businessinsider.com

You're tired of hearing “just build a SaaS” like it's easy, especially when you don't code, don't have a team, and still want something real that can actually make money. It can feel like everyone else has access to some secret playbook while you're stuck trying to figure out where to even begin. In this episode, Omar completely removes the gatekeeping and shows you what it actually looks like to build a real software business in a ridiculously short timeframe using AI. Nothing is hidden. He walks you through the exact tools, decisions, and steps he takes so you're not left guessing or piecing things together on your own. It's clear, practical, and designed to make you feel like this isn't some exclusive club, it's something you can dive into right now. If you've been waiting for proof that you can pull off your own AI-powered software build in a matter of hours, this is it. Click play at the top of the page and see how you can turn your idea into a real product faster than you thought possible. MBA2790 How To Build A Software Business With AI This Weekend. Zero Coding Skills Required. Must-Have Stack to Build Your Own AI App 1. Supabase 2. GitHub 3. Windsurf 4. Vercel 5. Claude 6. GoDaddy 7. Stripe 8. Kit Helper / Optional Tools to support your workflow 1. Wispr Flow 2. Google Forms 3. Chrome DevTools (Inspect Element) Recommended episode to explore: Can You Build A Profitable SaaS In 7 Days With Just AI? My Experiment With Proof! Watch the episodes on YouTube: https://lm.fm/GgRPPHi SUBSCRIBE YouTube | Apple Podcast | Spotify | Podcast Feed Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.