Podcasts about MongoDB

Have you ever thought about getting your small product into production, but are worried about the cost of the big cloud providers? Or maybe you think your current cloud service is over-architected and costing you too much? Well, in this episode, we interview Michael Kennedy, author of "Talk Python in Production," a new book that guides you through deploying web apps at scale with right-sized engineering. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Christopher Trudeau - guest host: www.linkedin.com Michael's personal site: mkennedy.codes Talk Python in Production Book: talkpython.fm glances: github.com btop: github.com Uptimekuma: uptimekuma.org Coolify: coolify.io Talk Python Blog: talkpython.fm Hetzner (€20 credit with link): hetzner.cloud OpalStack: www.opalstack.com Bunny.net CDN: bunny.net Galleries from the book: github.com Pandoc: pandoc.org Docker: www.docker.com Watch this episode on YouTube: youtube.com Episode #531 deep-dive: talkpython.fm/531 Episode transcripts: talkpython.fm Theme Song: Developer Rap

16TB MongoDB database exposes nearly 4.3 billion professional records Apple posts updates after discovery of WebKit flaws Coupang data breach traced to ex-employee Huge thanks to our sponsor, Adaptive Security This episode is brought to you by Adaptive Security, the first cybersecurity company backed by OpenAI. Deepfakes aren't science fiction anymore; they're a daily threat. Quick tip: if your voicemail greeting is your real voice, switch it to the default robot voice. A few seconds of audio can be enough to clone you. Adaptive helps teams spot and stop these AI-powered social engineering attacks. Learn more at adaptivesecurity.com. Find the stories behind the headlines at CISOseries.com.    

For years, building interactive widgets in Python notebooks meant wrestling with toolchains, platform quirks, and a mountain of JavaScript machinery. Most developers took one look and backed away slowly. Trevor Manz decided that barrier did not need to exist. His idea was simple: give Python users just enough JavaScript to unlock the web's interactivity, without dragging along the rest of the web ecosystem. That idea became anywidget, and it is quickly becoming the quiet connective tissue of modern interactive computing. Today we dig into how it works, why it has taken off, and how it might change the way we explore data. Episode sponsors Seer: AI Debugging, Code TALKPYTHON PyCharm, code STRONGER PYTHON Talk Python Courses Links from the show Trevor on GitHub: github.com anywidget GitHub: github.com Trevor's SciPy 2024 Talk: www.youtube.com Marimo GitHub: github.com Myst (Markdown docs): mystmd.org Altair: altair-viz.github.io DuckDB: duckdb.org Mosaic: uwdata.github.io ipywidgets: ipywidgets.readthedocs.io Tension between Web and Data Sci Graphic: blobs.talkpython.fm Quak: github.com Walk through building a widget: anywidget.dev Widget Gallery: anywidget.dev Video: How do I anywidget?: www.youtube.com PyCharm + PSF Fundraiser: pycharm-psf-2025 code STRONGER PYTHON Watch this episode on YouTube: youtube.com Episode #530 deep-dive: talkpython.fm/530 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Frank on LinkedIn (https://www.linkedin.com/in/franckpachot/) MongoDB (https://www.mongodb.com/) Alice for Snowflake (https://alice.dev/alice-snowflake/) Mike on X (https://x.com/dominucco) Coder on X (https://x.com/coderradioshow) Show Discord (https://discord.gg/k8e7gKUpEp) Alice & Custom Dev (https://alice.dev) Mike's Recent Omakub Blog Post (https://dominickm.com/omakhub-review/)

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.This episode is sponsored by CodeRabbit; Smart CLI Reviews act as quality gates for Codex, Claude, Gemini, and you.Show linksBlade @hasStack Directive Added in Laravel 12.39 Time Interval Helpers in Laravel 12.40 Pause a Queue for a Given Number of Seconds in Laravel 12 PHP 8.5 is released with the pipe operator, URI extension, new array functions, and more Introducing Mailviews Early Access Prevent Disposable Email Registrations with Email Utilities for Laravel A DynamoDB Driver for the Laravel Auditing Package Build Production-ready APIs in Laravel with Tyro TutorialsSeparate your Cloudflare page cache with a middleware group PostgreSQL vs. MongoDB for Laravel: Choosing the Right Database Modernizing Code with Rector - Laravel In Practice EP12 Static Analysis Secrets - Laravel In Practice EP13 

A lot of people building software today never took the traditional CS path. They arrived through curiosity, a job that needed automating, or a late-night itch to make something work. This week, David Kopec joins me to talk about rebuilding computer science for exactly those folks, the ones who learned to program first and are now ready to understand the deeper ideas that power the tools they use every day. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show David Kopec: davekopec.com Classic Computer Science Book: amazon.com Computer Science from Scratch Book: computersciencefromscratch.com Computer Science from Scratch at NoStartch (CSFS30 for 30% off): nostarch.com Watch this episode on YouTube: youtube.com Episode #529 deep-dive: talkpython.fm/529 Episode transcripts: talkpython.fm Theme Song: Developer Rap

What if the only thing standing between you and a job offer you actually want is a strategy you haven't heard yet? In this episode, I'm breaking down the real story behind how Amy went from a brutal late-stage rejection at MongoDB to signing a $150K base offer, PLUS negotiating an extra 10K just weeks later.You'll hear the exact steps she took to rebuild momentum fast, the cold-outreach strategy that had hiring managers responding within 24 hours, the interview storytelling shift that instantly made her stand out from “qualified” candidates, and the pipeline and negotiation moves that turned one solid offer into a life-changing one. By the end, you'll walk away knowing exactly how to regain control of your job search, rebuild confidence after rejection, and create the kind of momentum that makes opportunities come to YOU. If you want a job search process that actually moves you forward without burning yourself out, hit play and let's dive in.0:44 – Why Late-Stage Interview Rejection Doesn't Mean Starting Over4:21 – How Strategic Cold Outreach Can Unlock Interviews at Top Companies8:25 – Why Your Interview Stories Need More “How” (Not Just Results) to Stand Out12:15 – The Secret to Keeping Momentum: Juggling Multiple Opportunities, Even in Final Rounds 13:40 – Why You Should Always Negotiate Your Offer, Even If It Looks Great15:44 – The Four Steps to Rebuild Job Search Momentum After Rejection

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über starke Zahlen von Crowdstrike, Kurssprung bei Bayer und eine wilde Wende bei Bitcoin. Außerdem geht es um Ether, Intel, xLight, Meta, Boeing, Airbus, Marvell, Celestial AI, Nvidia, Broadcom, GitLab, Adobe, Workday, DocuSign, Apple, Microsoft, MongoDB, Credo Technology, Wacker Neuson, Doosan Bobcat, Hochtief, Hypoport, Hugo Boss, Rheinmetall, Nvidia, Lockheed Martin, Hensoldt, Renk, TKMS, VW, BMW, Mercedes-Benz, Continental, Porsche, Schaeffler, Daimler Truck, Bank of America, KeyCorp, PNC Financial Services, US-Bancorp, Truist Financial, Aon, Marsh & McLennan, Willis Towers Watson, Accenture, Cognizant, EPAM Systems, IBM, Twilio, DXC Technology, SAIC, Guidewire Software, Manhattan Associates, Pegasystems, Tyler Technologies, Labcorp, IQVIA, Certara und Siemens Energy. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Unser Partner Scalable Capital ist jetzt Bank und bietet euch dadurch noch bessere Konditionen. Unter anderem mit einem neuen Kreditangebot. Alle Infos dazu gibt's hier: https://de.scalable.capital/credit. Das Weiße Haus stellt sich hinter Bayer. Aktie hoch. Doosan Bobcat will Wacker Neuson. Aktie hoch. Boeing will Cash verdienen, MongoDB wächst stark. Aktien hoch. Nestlé könnte Blue Bottle verkaufen. ISS hat Problem in Hongkong. Dell spendet Milliarden. Marvell kauft Celestial. American Eagle Outfitters boomt. Action ist eine der krassesten Firmen, die in den letzten Jahren in Europa entstanden ist. Das Modell ist zwar langweilig, aber funktioniert. Die Börse wird grade vorsichtiger. Eine Chance, den Dip zu kaufen? 3i (WKN: A0MU9Q). Diesen Podcast vom 03.12.2025, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung.

Equity markets staged a cautious rebound yesterday, with major indices posting modest gains. In Europe, utilities led the advance, lifting the broader market, while in the US, leadership came from big tech and AI-related stocks. Sentiment was buoyed by SoftBank founder Masayoshi Son's revelation that he was “practically crying” to sell the company's Nvidia stake, alongside a strong earnings report from MongoDB. However, not all segments participated in the rally – precious metals lagged, and the energy sector saw a notable reversal. Meanwhile, DarioMessi, Head of Fixed Income Research, discusses expectations surrounding the still-pending appointment of a new Fed Chair for next year and how the bond market is digesting this transition.(00:00) - Introduction: Helen Freer, Product & Investment Content (00:28) - Markets wrap-up: Jan Bopp, Product & Investment Content (06:29) - Bond market update: Dario Messi, Head of Fixed Income Research (10:34) - Closing remarks: Helen Freer, Product & Investment Content Would you like to support this show? Please leave us a review and star rating on Apple Podcasts, Spotify or wherever you get your podcasts.

Plus: Shares of MongoDB and Credo Technology jump, driven by AI. And Ford shares fall amid a slowdown in EV sales. Julie Chang hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode Highlights[00:00:48] What Makes Software MaintainableDon explains why unnecessary complexity is the biggest barrier to maintainability, drawing on themes from A Philosophy of Software Design.[00:03:14] The Cost of Clever AbstractionsA real story from a Node.js API shows how an unused abstraction layer around MongoDB made everything harder without delivering value.[00:04:00] Shaping Teams and Developer ToolsDon describes the structure of the Search Craft engineering team and how the product grew out of recurring pain points in client projects.[00:06:36] Reducing Complexity Through SDK and Infra DesignWhy Search Craft intentionally limits configuration to keep setup fast and predictable.[00:08:33] Lessons From ConsultingRobby and Don compare consulting and product work, including how each environment shapes developers differently.[00:15:34] Inherited Software and Abandoned DependenciesDon shares the problems that crop up when community packages fall behind—especially in ecosystems like React Native.[00:18:00] Evaluating Third-Party LibrariesSignals Don looks for before adopting a dependency: adoption, update cadence, issue activity, and whether the library is “done.”[00:19:40] Designing Code That Remains UnderstandableWhy clear project structure and idiomatic naming matter more than cleverness.[00:20:29] RFCs as a Cultural AnchorHow Don's team uses RFCs to align on significant changes and avoid decision churn.[00:23:00] Documentation That Adds ContextDocumentation should explain why, not echo code. Don walks through how his team approaches this.[00:24:11] Type Systems and MaintainabilityHow Don's journey from PHP and JavaScript to TypeScript and Rust changed his approach to structure and communication.[00:27:05] Testing With TypesStable type contracts make tests cleaner and less ambiguous.[00:27:45] Building Trust in AI SystemsDon discusses repeatability, hallucinations, and why tools like MCP matter for grounding LLM behavior.[00:29:28] AI in Developer ToolsSearch Craft's MCP server lets developers talk to the platform conversationally instead of hunting through docs.[00:33:21] Improving Legacy Systems SlowlyThe Strangler pattern as a practical way to replace old systems one endpoint at a time.[00:34:11] Deep Work and Reducing Reactive NoiseDon encourages developers to carve out time for uninterrupted thinking rather than bouncing between notifications.[00:36:09] Measuring ProgressBuild times, test speeds, and coverage provide signals teams can use to track actual improvement.[00:38:24] Changing Opinions Over a CareerWhy Don eventually embraced TypeScript after originally writing it off.[00:39:15] Industry Trends and Repeating CyclesSPAs, server rendering, and the familiar pendulum swing in web architecture.[00:41:26] Experimentation and Team AutonomyHow POCs and side projects surface organically within Don's team.[00:44:42] Growing Skills Through Intentional GoalsSetting learning targets in 1:1s to support long-term developer growth.[00:47:19] Where to Find DonLinkedIn, Blue Sky, and his site: donmckinnon.dev.Resources MentionedA Philosophy of Software Design by John OusterhoutJohn Ousterhout's Maintainable.fm Interview (Episode 131)Search CraftElasticAlgoliaWordPress Plugin DirectoryRequest for Comments (RFC)Strangler Fig PatternC2 WikiModel Context Protocol (MCP)Glam AIAubrey/Maturin Series by Patrick O'BrianMaster and Commanderdonmckinnon.devThanks to Our Sponsor!Turn hours of debugging into just minutes! AppSignal is a performance monitoring and error-tracking tool designed for Ruby, Elixir, Python, Node.js, Javascript, and other frameworks.It offers six powerful features with one simple interface, providing developers with real-time insights into the performance and health of web applications.Keep your coding cool and error-free, one line at a time! Use the code maintainable to get a 10% discount for your first year. Check them out! Subscribe to Maintainable on:Apple PodcastsSpotifyOr search "Maintainable" wherever you stream your podcasts.Keep up to date with the Maintainable Podcast by joining the newsletter.

"Very positive growth momentum" helps shape MongoDB's (MDB) growth story, says Luke Yang, though he has a price target for the stock significantly below the current value. He says MongoDB needs to define itself against other growing companies like Snowflake (SNOW) to succeed long-term. Steven Koenig also has a price target below current value for similar reasons. He believes the company needs to use its core business growth by pairing it with A.I. to accelerate future success. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

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In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über drohenden Ärger für Moderna, einen Kurskracher bei MongoDB und fiese Japan-Vibes. Außerdem geht es um Moderna, BioNTech, Novavax, Pfizer, GSK, MongoDB, Cleanspark, Coinbase, Robinhood, Strategy, Bitcoin, Ether, Bayer, Synopsis, Nvidia und The Magnum Ice Cream Company. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts und AAA-Newsletter.[ Hier bei WELT.](https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html.) [Hier] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? [**Hier findest du alle Infos & Rabatte!**](https://linktr.ee/alles_auf_aktien) Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Kubernetes has relied on role-based access control (RBAC) since 2017, but its simplicity limits what developers can express, said Micah Hausler, principal engineer at AWS, on The New Stack Makers. RBAC only allows actions; it can't enforce conditions, denials, or attribute-based rules. Seeking a more expressive authorization model for Kubernetes, Hausler explored Cedar, an authorization engine and policy language created at AWS in 2022 and later open-sourced. Although not designed specifically for Kubernetes, Cedar proved capable of modeling its authorization needs in a concise, readable way. Hausler highlighted Cedar's clarity—nontechnical users can often understand policies at a glance—as well as its schema validation, autocomplete support, and formal verification, which ensures policies are correct and produce only allow or deny outcomes.Now onboarding to the CNCF sandbox, Cedar is used by companies like Cloudflare and MongoDB and offers language-agnostic tooling, including a Go implementation donated by StrongDM. The project is actively seeking contributors, especially to expand bindings for languages like TypeScript, JavaScript, and Python.Learn more from The New Stack about Cedar:Ceph: 20 Years of Cutting-Edge Storage at the Edge The Cedar Programming Language: Authorization SimplifiedJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Apple trennt sich von KI-Chef John Giannandrea und holt einen Microsoft-Researcher. Amazon testet 30-Minuten-Lieferung in den USA – die Gorillas sind zurück. Instagram-Chef Adam Mosseri ordnet fünf Tage Büropflicht an. OpenAI investiert in Thrive Holdings und schickt Engineers mit – ein Kreislaufgeschäft oder clevere Strategie? Black Forest Labs wird mit $3,25 Mrd. zum wertvollsten deutschen KI-Startup. Sam Altman ruft nach Googles Gemini-Erfolg "Code Red" aus und verschiebt das geplante Werbemodell. US-Startups wechseln zunehmend zu chinesischen Open-Source-Modellen. MongoDB liefert starke Earnings. Frank Thelen crasht ein Schneemobil und fordert Dialog mit der AfD. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:01:56) Apple feuert KI-Chef, holt Microsoft-Researcher (00:05:33) Amazon startet 30-Minuten-Lieferung in USA (00:11:04) Instagram: Fünf Tage zurück ins Büro (00:15:08) Pew Research: Social Media Nutzung in den USA (00:19:41) OpenAI investiert in Thrive Holdings (00:26:23) KI-Transformation: Warum sie oft scheitert (00:39:41) Black Forest Labs: $300M Finanzierung, $3,25B Bewertung (00:43:41) OpenAI plant Werbemodell (00:46:04) OpenAI Code Red nach Google Gemini Erfolg (00:50:23) US-Startups wechseln zu chinesischen Open-Source-Modellen (01:03:56) MongoDB Earnings (01:05:59) Frank Thelen: Schneemobil-Unfall & AfD-Dialog (01:18:03) David Sacks NYT-Profil & Interessenkonflikte (01:25:04) Richter auf US-Sanktionsliste verliert Kreditkarten (01:27:25) CryptoMixer Razzia (01:29:53) KI-Therapie-App Yara AI eingestellt Shownotes Apple KI-Chef John Giannandrea tritt zurück – macrumors.com Amazon testet 'Amazon Now' 30-Minuten-Lieferservice in Seattle und Philadelphia – geekwire.com Instagram return to office – sources.news Glöckler's OpenAI Bild LinkedIn OpenAI Thrive – nytimes.com OpenAI steigt beim eigenen Investor Thrive ein - "Kreislauf"-Deal – trendingtopics.eu Black Forrest Lab – linkedin.com Black Forrest Lab  – ft.com Leak bestätigt: OpenAI plant Werbung in ChatGPT – bleepingcomputer.com OpenAI Code Red – wsj.com Mehr von Silicon Valley baut auf kostenloser chinesischer KI auf. – nbcnews.com MongoDB-Aktie steigt um 15% nach Gewinn- und Umsatzschlag, starke Prognose – cnbc.com Pitch-Panne: Löwe beschädigt Garagentor mit Schneemobil von Tiroler Startup – brutkasten.com Frank Thelen: Dialog mit der AfD - "Familienunternehmer" rudern zurück – surplusmagazin.de David Sachs – nytimes.com Amazon und Paypal blockieren Richter in Europa – golem.de Schweizer und deutsche Behörden schließen cryptomixer.io im Rahmen von Geldwäsche-Bekämpfung – reuters.com Der Schöpfer einer KI-Therapie-App schließt sie aus Sicherheitsbedenken. – fortune.com

Die US-Aktien eröffnen fester, gestützt von einer Erholung bei Bitcoin und kräftigen Gewinnen im Tech-Sektor. KI-Werte wie Oracle und Nvidia drehen nach den Verlusten vom Wochenstart wieder ins Plus. Starke Impulse kommen von MongoDB und Credo, die nach beeindruckenden Quartalszahlen zweistellig zulegen: MongoDB überzeugt mit 30 % Atlas-Wachstum und massiven Margensteigerungen, Credo profitiert vom Boom der KI-Rechenzentren und hebt die Prognose deutlich an. Gleichzeitig herrscht bei OpenAI intern „Alarmstufe Rot“: Projekte gestoppt, volle Fokussierung auf ein neues Modell, das Google Gemini 3 schlagen soll. Makroseitig bleibt Europa mit leicht erhöhter Inflation bei 2,2 % moderat, während China seine Exportpolitik für Seltene Erden öffnet. Anleger hoffen auf eine Fed-Zinssenkung am 10. Dezember – aktuell mit fast 88 % eingepreist. Abonniere den Podcast, um keine Folge zu verpassen! ____ Folge uns, um auf dem Laufenden zu bleiben: • X: http://fal.cn/SQtwitter • LinkedIn: http://fal.cn/SQlinkedin • Instagram: http://fal.cn/SQInstagram

US stocks found their footing on Tuesday, lifted by a bitcoin rally after a sharp sell-off. Treasury markets also found firmer ground as traders evaluated the latest signals from the Federal Reserve. In company news, Boeing flew higher on stronger delivery plans, and MongoDB surged after raising its forecast. Gains were tempered, however, by weakness in paper and packaging companies, which weighed on the materials sector. In commodities, gold retreated on profit-taking, oil prices eased amid uncertainty over Russia-Ukraine peace talks, and iron ore advanced on Chinese infrastructure demand. Looking ahead, Aussie shares are poised to edge higher on Wednesday ahead of economic growth data. The content in this podcast is prepared, approved and distributed in Australia by Commonwealth Securities Limited ABN 60 067 254 399 AFSL 238814. The information does not take into account your objectives, financial situation or needs. Consider the appropriateness of the information before acting and if necessary, seek appropriate professional advice.See omnystudio.com/listener for privacy information.

Wall Street cotiza con subidas este miércoles, respirando tras días complicados. Estos movimientos se producen en una jornada en el que el sector tecnológico y las criptos respiran tras las caídas de otras sesiones. El bitcoin se revaloriza un 2% mientras que Nvidia sube casi un 1%. Toda la atención se centra en una Reserva Federal que se reunirá este 10 de diciembre para decidir los tipos. El recorte parece claro pero nunca había llegado tan dividida sobre el rumbo a medio y largo plazo que ha de seguirse. Más allá de esto pocas referencias, con algunos resultados tardíos como MongoDB, que se dispara un 24% tras mostrar sus cifras. En España, subidas en el Ibex 35, tras superar holgadamente los 16.500 puntos. Dentro del selectivo, destacan las alzas en ACS, impulsado por un acuerdo de 1.700 millones de dólares de su filial Hochtief para un proyecto en Nueva York. También lo hace bien Bankinter, al que JP Morgan ha elevado el precio objetivo hasta 17 euros desde 12,7, y ha mejorado a 'sobreponderar'. La mayoría de títulos del índice cotiza ahora al alza. El resto de plazas europeas también suben, aunque más moderadamente. El segundo análisis con Iván San Félix, analista de Renta 4.

Stocks, crypto fall to start December as the risk-off trade continues. HSBC's Max Kettner breaks down the market action. T. Rowe Price's Tony Wang talks top tech stocks on the three-year anniversary of the AI bull market. Black Friday winners and losers with Goldman Sachs' Kate McShane. New MongoDB CEO CJ Desai on the company's latest quarter.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, I'm talking with Vincent Warmerdam about treating LLMs as just another API in your Python app, with clear boundaries, small focused endpoints, and good monitoring. We'll dig into patterns for wrapping these calls, caching and inspecting responses, and deciding where an LLM API actually earns its keep in your architecture. Episode sponsors Seer: AI Debugging, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Vincent on X: @fishnets88 Vincent on Mastodon: @koaning LLM Building Blocks for Python Co-urse: training.talkpython.fm Top Talk Python Episodes of 2024: talkpython.fm LLM Usage - Datasette: llm.datasette.io DiskCache - Disk Backed Cache (Documentation): grantjenks.com smartfunc - Turn docstrings into LLM-functions: github.com Ollama: ollama.com LM Studio - Local AI: lmstudio.ai marimo - A Next-Generation Python Notebook: marimo.io Pydantic: pydantic.dev Instructor - Complex Schemas & Validation (Python): python.useinstructor.com Diving into PydanticAI with marimo: youtube.com Cline - AI Coding Agent: cline.bot OpenRouter - The Unified Interface For LLMs: openrouter.ai Leafcloud: leaf.cloud OpenAI looks for its "Google Chrome" moment with new Atlas web browser: arstechnica.com Watch this episode on YouTube: youtube.com Episode #528 deep-dive: talkpython.fm/528 Episode transcripts: talkpython.fm Theme Song: Developer Rap

John McMahon is widely regarded as one of the greatest enterprise-software sales leaders of all time. He's the only person to have served as Chief Revenue Officer at five public software companies: PTC, GeoTel, Ariba, BladeLogic and BMC Software. He helped scale BladeLogic from a startup into a public company — ultimately leading to its ~$880M sale to BMC — and drove GeoTel into a multi-billion dollar acquisition. Today he sits on the boards of top names such as Snowflake and MongoDB, while also mentoring and influencing a who's-who of modern SaaS sales leaders. AGENDA: 03:33 The Art and Science of Sales: Insights from a Veteran 04:29 Adapting Sales Strategies in the Age of AI and PLG 07:47 The Ultimate Framework to do Deal Qualification 14:13 How to Drive Urgency and Maintain Sales Process 20:06 How to Hire the Best Sales Reps 25:11 Step-by-Step Guide to Training Sales Reps 45:22 The Mindset of the Best Sales Reps 54:55 Single Most Important Skill to Win in Sales  

“Dowcip roku – Microsoft zrobił kolejny rebranding.” Łukasz podsumowuje Microsoft Ignite 2025, gdzie Azure AI Foundry stało się Microsoft Foundry (drugi bezsensowny rebranding w roku), a DocumentDB zmartwychwstał z Cosmosa. Konferencja rozrzucona między Ignite, .NET Conf i KubeCon w ciągu trzech tygodni - “to już mnie denerwuje” - a Book of News skierowany “na giełdę i decision makerów”.

¿Está muriendo realmente el open source… o está mutando hacia algo muy distinto? Repasamos los cambios de licencias que están sacudiendo el ecosistema —Redis, HashiCorp, Elastic, MongoDB, RHEL— y exploramos cómo conceptos como open-washing o source-available están generando confusión y desdibujando el significado del software libre. En este programa reflexionamos sobre: 🌩️ El terremoto reciente en el modelo open source Cambios de licencias, restricciones y cierres inesperados. ⚠️ El riesgo del open-washing Proyectos que se presentan como libres… sin serlo. 🤖 El impacto de la IA y las Big Tech en la sostenibilidad del software libre Nuevos intereses, nuevas presiones, nuevas amenazas. 🛠️ Lo que sigue muy vivo Kernel Linux, Debian, Arch, Fedora, Blender, GIMP, Krita, OpenSSF, RISC-V… 🔍 Por qué el open source no está muriendo… pero sí está siendo confundido con otra cosa. 🧩 Qué podemos hacer como comunidad Claridad, educación, modelos sostenibles y apoyo real a los proyectos libres. Un episodio para pensar, debatir y tomar conciencia del momento crítico que vive la cultura del software libre. 💬 Comparte tu opinión ¿Crees que el open source está en crisis o simplemente adaptándose? ¿Has vivido algún cambio reciente que te haya hecho replantearte tu confianza en un proyecto? Te leo en comentarios y redes.

MongoDB.local San Francisco is happening on January 15th. Learn more and register here → http://mdb.link/sf-dot-local At the Cerebral Valley AI Summit, we surveyed more than 300 founders and investors with one question:“Which billion-dollar AI startup would you short?” The answers were… blunt.In this episode, Eric, Max Child and James Wilsterman break down the most surprising picks, what they reveal about the state of AI in 2025, and the shifting mood inside the industry. We also revisit the biggest moments from the summit — from agentic AI to the sustainability of today's valuations.

AWS Morning Brief for the week of November 24th, with Corey Quinn. Links:Announcing agreement EventBridge notifications for AWS MarketplaceNetwork Load Balancers now support Weighted Target GroupsAWS NAT Gateway now supports regional availabilityAWS Secrets Manager announces managed external secretsAccelerate infrastructure development with AWS CloudFormation intelligent authoring in IDEsAWS Cost Optimization Hub introduces Cost Efficiency metric to measure and track cloud cost efficiencyAWS Lambda announces new tenant isolation mode to simplify building tenant-aware applicationsIntroducing 18-Month Forecasting and Explainable AI Insights in AWS Cost ExplorerSimplified developer access to AWS with ‘aws loginAmazon DynamoDB now supports multi-attribute composite keys in global secondary indexesSimplify access to external services using AWS IAM Outbound Identity FederationImprove API discoverability with the new Amazon API Gateway PortalAWS Step Functions enhances Local Testing with TestState APIAmazon CloudFront announces 3 new CloudFront Functions capabilitiesRecycle Bin adds support for Amazon EBS VolumesAnnouncing Amazon DocumentDB (with MongoDB compatibility) version 8.0AWS Lambda adds support for RustIntroducing Amazon MWAA ServerlessIntroducing flat-rate pricing plans with no overagesNew Amazon Bedrock service tiers help you match AI workload performance with costAmazon EC2 P6-B300 instances with NVIDIA Blackwell Ultra GPUs are now availableAmazon ECR introduces archive storage class for rarely accessed container imagesNew AWS Billing Transfer for centrally managing AWS billing and costs across multiple organizations

Dharshan Rangegowda, founder of ScaleGrid, left a decade-long engineering career at Microsoft to solve a painful database operations problem he had lived firsthand. After early missteps selling to enterprises, he shifted to helping developers manage MongoDB, Redis, and Postgres on the cloud, bootstrapping the business from scratch. ScaleGrid grew steadily through product depth, technical support, and Dharshan's mastery of SEO—becoming the top organic result for many key searches. The company expanded into multiple database engines, added a distributed engineering team, and reached 20 employees by 2021, serving both SMB developers and some enterprise teams.  Dharshan sold a majority stake to Spotlight Equity Partners during the pandemic after receiving an unsolicited offer, later stepping out of day-to-day operations while remaining on the board.  In this conversation, Dharshan shares hard-earned lessons about product-led growth, support as strategy, SEO as a long-game advantage, and how bootstrapped founders can build meaningful outcomes in massive markets.  Key Takeaways SEO Power: SEO remains a long-term growth engine for bootstrappers because big VC-backed companies rarely have the patience to compound it. Support as Strategy: Deep, responsive technical support became ScaleGrid's differentiator and directly informed product innovation and content. Start at the Edges: Enterprises won't buy from a one-person startup, but edge users with urgent problems will — and they become your early beachhead. Bootstrap Constraints: Founder over-frugality can limit growth; strategic delegation and early team building prevent burnout and plateauing. This Interview Is Perfect For Bootstrap SaaS founders Technical founders selling to developers Founders stuck in early traction or slow growth Anyone considering a PE exit or multi-year acquisition process Quote from Darshan Rangegowda, founder of ScaleGrid "You can't take random people and make them an entrepreneur. You have to want to be an entrepreneur and want to be on your own. You have to enjoy the freedom and the risk and the upside that comes with it and the unmitigated downside as well. You have to accept and be comfortable with it.  "You want to be on your own so you can try things. You are constantly looking at problems and new solutions. You want to be around people who like that sort of process: Here's a new problem and here's a new solution.  "But the most important thing you have to do as an entrepreneur is you have to add value to your customers. And most people forget that." Links Dharshan Rangegowda on LinkedIn ScaleGrid on LinkedIn ScaleGrid website Spotlight Equity Partners (acquirer) Allied Advisers (M&A advisor) AngelPad Accelerator Podcast Sponsor – Designli This podcast is sponsored by Designli, a digital product studio that helps entrepreneurs and startups turn their software ideas into reality. From strategy and design to full-scale development, Designli guides you through every step of building custom web and mobile apps. Learn more at designli.co/practical. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Buckle up—today's episode takes you inside the war on AI slop and Anthropic's bold plan to fix artificial intelligence's biggest problems. We kick things off at the Cerebral Valley AI Summit, where Anthropic CPO Mike Krieger shares why AI needs to be truth-seeking and what their team is doing to fight misinformation and "brainrot." From explosive funding announcements to real talk about the future of agentic AI, you're getting all the behind-the-scenes intel.Then, Max Child sits down with Mati Stunashevsky, CEO of ElevenLabs, for a fresh take on how voice AI is taking over everything from customer support and gaming to wild celebrity voice clones. It's all about authenticity, safety, and vertical-specific innovation—plus, why voice might just be your next favorite interface.As always, we're diving deep into the industry, serving up candid conversations, and making sense of the latest AI trends, so you can stay ahead in the game.MongoDB.local San Francisco is happening on January 15th. Learn more and register here → http://mdb.link/sf-dot-local

¿Estás seguro de que tu servidor Linux y tus contenedores Docker están a salvo de intrusos?

In this episode, Michael talks with Eliot Horowitz, founder of MongoDB and now CEO of Viam, about why the physical world is lagging behind the AI revolution and how Viam is building the foundational platform robotics has been missing. Eliot shares why robotics needs its “AWS moment,” how better tools can shrink development timelines from years to months, and why practical automation, from kitchen assistants to back-of-house restaurant robots, will arrive long before humanoids. Learn more about your ad choices. Visit megaphone.fm/adchoices

Informed buyers believe they don't need sellers - and in many cases, they're right. In this episode, Sarah Branfman, Global VP of ISV Sales & GTM at Databricks, explains how buying behavior has fundamentally shifted, why traditional selling fails in complex B2B sales, and what elite sellers must do to create value buyers can't get on their own. Explore more insights: www.globalperformancegroup.com Timestamps: 00:00 – “We don't need a rep anymore.” The hard truth 02:45 – From ballerina to VP: Sarah's nonlinear career path 06:18 – The rise of the informed buyer in complex B2B sales 09:40 – How modern buyers want to buy (and why sellers resist it) 12:52 – Comfort-zone selling and losing deals you could have won 18:10 – Value-based selling, decision-making psychology, and the cost of inaction 20:55 – Ruthless qualification vs. the hope-based pipeline 26:30 – Discovery never ends: re-qualifying through the buying journey 29:02 – Provocative questioning and generating unconsidered needs 33:40 – The 3 traits of elite sellers: drive, curiosity, coachability Modern selling isn't about pressure — it's about enabling informed decision-making through sharper sales discovery, stronger sales enablement, and real business insight. In this episode, Harry Kendlbacher sits down with Sarah, to explore the mindsets and behaviors top sellers use to stay relevant and win in today's complex B2B landscape. You'll learn: – Why buyers feel they don't need sellers – How to win them back with insight-driven conversations – How elite sellers qualify and re-qualify throughout the buying journey – How decision-making psychology and cost of inaction shape urgency Key Takeaways: • Buyers aren't distrustful — they're independent. Sellers must add value beyond what buyers can research or ask AI. • In complex B2B sales, discovery and qualification never end — every new stakeholder resets the process. • The cost of inaction is often a stronger driver of urgency than ROI. • Value-based selling works only when sellers provoke new insights buyers haven't considered. • Elite sellers share three traits: relentless drive, deep curiosity, and coachability. About Guest: Sarah Branfman is the Global VP of ISV Sales & Go-To-Market at Databricks, where she leads strategic partnerships with the world's leading software and data companies. With deep experience in hyper-growth environments like MongoDB and Databricks, Sarah brings a modern, practical perspective on selling to the informed buyer in complex B2B environments. Connect with Sarah on LinkedIn: https://www.linkedin.com/in/sarahbranfman/ If this episode sparked new thinking, share it with your team. Subscribe for weekly insights on modern selling, leadership, and performance. Explore more at www.globalperformancegroup.com

Today we're digging into the Model Context Protocol, or MCP. Think LSP for AI: build a small Python service once and your tools and data show up across editors and agents like VS Code, Claude Code, and more. My guest, Den Delimarsky from Microsoft, helps build this space and will keep us honest about what's solid versus what's just shiny. We'll keep it practical: transports that actually work, guardrails you can trust, and a tiny server you could ship this week. By the end, you'll have a clear mental model and a path to plug Python into the internet of agents. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON NordStellar Talk Python Courses Links from the show Den Delimarsky: den.dev Agentic AI Programming for Python Course: training.talkpython.fm Model Context Protocol: modelcontextprotocol.io Model Context Protocol Specification (2025-03-26): modelcontextprotocol.io MCP Python Package (PyPI): pypi.org Awesome MCP Servers (punkpeye) GitHub Repo: github.com Visual Studio Code Docs: Copilot MCP Servers: code.visualstudio.com GitHub MCP Server (GitHub repo): github.com GitHub Blog: Meet the GitHub MCP Registry: github.blog MultiViewer App: multiviewer.app GitHub Blog: Spec-driven development with AI (open source toolkit): github.blog Model Context Protocol Registry (GitHub): github.com mcp (GitHub organization): github.com Tailscale: tailscale.com Watch this episode on YouTube: youtube.com Episode #527 deep-dive: talkpython.fm/527 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Alexis Garcia and Ed Carson analyze Thursday's market action and discuss key stocks to watch on Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

AWS Morning Brief for the week of November 3rd, with Corey Quinn. Links:Beyond pilots: A proven framework for scaling AI to productionNew Amazon CloudWatch metrics to monitor EC2 instances exceeding I/O performanceProcessing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefixWhat's the difference between AWS ParallelCluster and AWS Parallel Computing Service?France Télévisions prepared for 2024 Olympic Games with AWS Countdown PremiumAmazon Kinesis Data Streams now supports 10x larger record sizesAmazon DocumentDB (with MongoDB compatibility) announces upgraded query planner that can run queries up to 10x fasterAnnouncing AWS X-Ray SDKs/Daemon End-of-Support and OpenTelemetry MigrationAmazon S3 adds conditional write functionality to copy operationsIntroducing the Capacity Reservation Topology API for AI, ML, and HPC instance typesHow to deploy a SQL Server Failover Cluster Instance across three Availability Zones using Storage Spaces Direct Reduce CAPTCHAs for AI agents browsing the web with Web Bot Auth (Preview) in Amazon Bedrock AgentCore BrowserUsing Kubernetes Labels to Split and Track Application Costs on Amazon EKSIntroducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server Split Cost Allocation Data for Amazon EKS supports Kubernetes labels

Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Click here to learn more about MongoDB for Startups - https://www.mongodb.com/lp/solutions/startups/partners?utm_campaign=startup_partner&utm_source=newcomer&utm_medium=referralThis is the leadup to our newest installment of the Cerebral Valley AI conference we're hosting on November 12th. In this episode of the podcast, we're joined by the co-hosts of the conference - Max Child and James Wilsterman - as we dive deep into the complete state of the tech startup world. We'll also revisit our annual AI Fantasy Draft and check out how each portfolio performed.

Alexis Garcia and Ed Carson analyze Thursday's market action and discuss key stocks to watch on Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com MongoDB has spent years earning a formidable reputation in the developer world; today, we will unpack some of its capabilities for project managers and federal leaders so they can understand where MongoDB may fit in their stack. Conventional wisdom is that MongoDB is a flexible open-source database. Although that is true, this does not do justice to some characteristics that will appeal to the federal audience. ONE: An agency may have restrictions on where the cloud is not suitable for storage. Because of its ability to use flexible, JSON-like documents, MongoDB has listened to those needs and can have storage in many varying regions.   In fact, we have seen a movement to move cloud applications back on premises. MongoDB provides flexibility for working in both hybrid and on-premises environments. TWO:  Most readers have studied encryption and think of it primarily as data at rest. Cloud storage transitions have forced a method where data is encrypted during transit. MongoDB can take encrypted data and search while it remains encrypted. Some will describe encryption at rest, in transit, and now, data in use.  THREE   MongoDB has listened to the federal community and is offering something called MongoDB Atlas for Government. It is a secure, fully managed cloud database service for U.S. Government agencies to modernize applications and oversee sensitive data. During the interview, Ben Cephalo revealed the effort MongoDB is making to serve federal agencies that require FedRAMP high capabilities.  

Ken Shreve and Ed Carson and analyze Tuesday's market action and discuss key stocks to watch on Stock Market Today. Learn more about your ad choices. Visit megaphone.fm/adchoices

Building a UI in Python usually means choosing between "quick and limited" or "powerful and painful." What if you could write modern, component-based web apps in pure Python and still keep full control? NiceGUI, pronounced "Nice Guy" sits on FastAPI with a Vue/Quasar front end, gives you real components, live updates over websockets, and it's running in production at Zauberzeug, a German robotic company. On this episode, I'm talking with NiceGUI's creators, Rodja Trappe and Falko Schindler, about how it works, where it shines, and what's coming next. With version 3.0 releasing around the same time this episode comes out, we spend the end of the episode celebrating the 3.0 release. Episode sponsors Posit Agntcy Talk Python Courses Links from the show Rodja Trappe: github.com Falko Schindler: github.com NiceGUI 3.0.0 release: github.com Full LLM/Agentic AI docs instructions for NiceGUI: github.com Zauberzeug: zauberzeug.com NiceGUI: nicegui.io NiceGUI GitHub Repository: github.com NiceGUI Authentication Examples: github.com NiceGUI v3.0.0rc1 Release: github.com Valkey: valkey.io Caddy Web Server: caddyserver.com JustPy: justpy.io Tailwind CSS: tailwindcss.com Quasar ECharts v5 Demo: quasar-echarts-v5.netlify.app AG Grid: ag-grid.com Quasar Framework: quasar.dev NiceGUI Interactive Image Documentation: nicegui.io NiceGUI 3D Scene Documentation: nicegui.io Watch this episode on YouTube: youtube.com Episode #525 deep-dive: talkpython.fm/525 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Join Marina Franklin on the latest Friends Like Us podcast with special guests Jon Laster & Marlon Nichols as they dive into the world of venture capital, diversity in tech, and the untapped potential in Africa. Don't miss this insightful episode!  Jon Laster is known for One Bedroom (2018), No More Mr Nice Guy (2018) and The 2019 ESPY Awards (2019) and check out his new series An Astute Woman Web Series. He is the Founder and C.E.O. of Blapp. Blapp is a Google-based, geo-located app that will tell you all the Black businesses that are right around you. Marlon Nichols is the co-founder and managing general partner of MaC Venture Capital, a leading seed-stage firm renowned for backing visionary founders who redefine industries. Under his leadership, MaC has grown into one of North America's largest seed-stage venture firms, surpassing $600 million in assets under management (AUM). In October 2024, the firm announced the closing of its third fund ($150 million), further solidifying its influence in the early-stage investment landscape. Marlon's portfolio includes industry-defining companies such as Airspace, Blavity, FINESSE, Gimlet Media, MongoDB, Pipe, Purestream, Thrive Market, and Shekel Mobility, among others. His keen eye for transformative opportunities has earned him widespread recognition, including consecutive placements on Los Angeles Business Journal's LA500 (2022–2025) and Business Insider's Seed 100 (Top Early-Stage Investors) for four years. Additionally, he ranks 25th on the Kauffman Fellows Fund Returners Index and has been featured in PitchBook's 25 Black Founders and VCs to Watch for six years. His expertise is frequently sought by top media outlets such as Axios, CNBC, Fortune, and more. A passionate advocate for diversity and inclusion, Marlon serves on the board of Kauffman Fellows, working to expand representation for underrepresented minorities in venture capital. With a unique blend of technology acumen and leadership principles shaped by his athletic background, he actively mentors CEOs, fosters strategic partnerships, and helps founders scale their businesses into market leaders. Always hosted by Marina Franklin - One Hour Comedy Special: Single Black Female ( Amazon Prime, CW Network), TBS's The Last O.G, Last Week Tonight with John Oliver, Hysterical on FX, The Movie Trainwreck, Louie Season V, The Jim Gaffigan Show, Conan O'Brien, Stephen Colbert, HBO's Crashing, and The Breaks with Michelle Wolf. Writer for HBO's 'Divorce' and the new Tracy Morgan show on Paramount Plus: 'Crutch  

Python in 2025 is different. Threads really are about to run in parallel, installs finish before your coffee cools, and containers are the default. In this episode, we count down 38 things to learn this year: free-threaded CPython, uv for packaging, Docker and Compose, Kubernetes with Tilt, DuckDB and Arrow, PyScript at the edge, plus MCP for sane AI workflows. Expect practical wins and migration paths. No buzzword bingo, just what pays off in real apps. Join me along with Peter Wang and Calvin Hendrix-Parker for a fun, fast-moving conversation. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Calvin Hendryx-Parker: github.com/calvinhp Peter on BSky: @wang.social Free-Threaded Wheels: hugovk.github.io Tilt: tilt.dev The Five Demons of Python Packaging That Fuel Our ...: youtube.com Talos Linux: talos.dev Docker: Accelerated Container Application Development: docker.com Scaf - Six Feet Up: sixfeetup.com BeeWare: beeware.org PyScript: pyscript.net Cursor: The best way to code with AI: cursor.com Cline - AI Coding, Open Source and Uncompromised: cline.bot Watch this episode on YouTube: youtube.com Episode #524 deep-dive: talkpython.fm/524 Episode transcripts: talkpython.fm Theme Song: Developer Rap

In this episode of the Revenue Builders Podcast, our hosts John Kaplan and John McMahon dive into the intricacies of sales compensation plans with special guest Jose Fernandez, co-founder of Easy Comp. The discussion covers the primary purpose of sales compensation plans, the impact of incentives on sales behavior, and various strategies for aligning sales incentives with company goals. Jose shares examples from his experience at MongoDB, Intap, and Google, highlighting how tailored compensation plans can drive desired behaviors and increase sales productivity. The episode also touches on the challenges of transitioning to consumption-based models and the importance of clear, motivational, and actionable compensation plans for sales teams.ADDITIONAL RESOURCESConnect with Jose Fernandez.LinkedIn: https://www.linkedin.com/in/joseluisfernandez/Learn more about EasyComp: https://www.easycomp.ai/Read the Guide on Six Critical Priorities for Revenue Leadership in 2026: https://hubs.li/Q03JN74V0Read the Guide on Winning Government Contracts: https://bit.ly/3UYAOvOEnjoying the podcast? Sign up to receive new episodes straight to your inbox: https://hubs.li/Q02R10xN0HERE ARE SOME KEY SECTIONS TO CHECK OUT[00:01:44] Understanding Sales Compensation Plans[00:01:59] Driving Sales Behavior with Compensation[00:06:43] Aligning Compensation with Company Strategy[00:08:50] Simplifying Compensation Plans[00:12:19] Planning and Implementing Effective Compensation Plans[00:20:31] Leveraging Technology in Compensation Planning[00:27:01] Incentivizing Overachievers and Managing Churn[00:32:42] Understanding Sales Performance Metrics[00:33:49] The Debate on Sales Compensation Caps[00:35:30] Challenges with Sales Compensation Plans[00:36:46] Coaching Technical Founders on Sales[00:38:07] Celebrating Big Wins in Sales[00:45:32] The Role of Technology in Sales Compensation[00:49:01] The Shift to Consumption-Based Models[01:00:16] The Importance of Collaboration in Sales[01:01:26] Introducing EZ Comp and Its MissionHIGHLIGHT QUOTES[00:02:04] "Incentives drive behavior, and it does it in a very strong way."[00:03:09] "The first place they're going to go to figure out what they're supposed to do is their compensation letter."[00:05:14] "Simplicity is key. If they have to write it down, it's never gonna work."[00:06:36] "The number one way to lose sellers: comp plans that don't represent things I have control over."[00:31:05] "Any good sales rep, really the top-notch salespeople, are not going to your company if you have a cap in the sales plan."[00:34:41] "If they're not getting value, they're turning it off. That's number one in consumption."[01:06:53] "AI is gonna unleash wave after wave of business transformation, and we want to be part of those waves." Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Python typing got fast enough to feel invisible. Pyrefly is a new, open source type checker and IDE language server from Meta, written in Rust, with a focus on instant feedback and real-world DX. Today, we will dig into what it is, why it exists, and how it plays with the rest of the typing ecosystem. We have Abby Mitchell, Danny Yang, and Kyle Into from Pyrefly here to dive into the project. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Abby Mitchell: linkedin.com Danny Yang: linkedin.com Kyle Into: linkedin.com Pyrefly: pyrefly.org Pyrefly Documentation: pyrefly.org Pyrefly Installation Guide: pyrefly.org Pyrefly IDE Guide: pyrefly.org Pyrefly GitHub Repository: github.com Pyrefly VS Code Extension: marketplace.visualstudio.com Introducing Pyrefly: A New Type Checker and IDE Experience for Python: engineering.fb.com Pyrefly on PyPI: pypi.org InfoQ Coverage: Meta Pyrefly Python Typechecker: infoq.com Pyrefly Discord Invite: discord.gg Python Typing Conformance (GitHub): github.com Typing Conformance Leaderboard (HTML Preview): htmlpreview.github.io Watch this episode on YouTube: youtube.com Episode #523 deep-dive: talkpython.fm/523 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Imagine an engineer who's gone from writing code to building a venture-backed startup—now creating AI-powered tools tailored for fashion brands in New York. That's Harish Chandramowli, Co-Founder of Flaire. His journey is a compelling example of the kind of leadership, innovation, and resilience we highlight on the Breakfast Leadership Show. With a twelve-year engineering career at organizations like MongoDB, Bloomberg, and Johns Hopkins, Harish made the leap into entrepreneurship by co-founding Flaire—an ERP platform that fuses artificial intelligence with user-centered design for retail. What makes Harish's story stand out is his ability to blend deep technical expertise with the gritty, hands-on realities of scaling a business. Whether he's designing smarter code-review workflows (like Greptile, which dramatically reduces dev feedback cycles) or jumping into client sales conversations, Harish brings a unique perspective. He's learned firsthand how to build high-performing remote teams rooted in trust, and how small, strategic process bets can drive sustainable growth. LinkedIn: https://www.linkedin.com/in/scharish/ Website: https://Flairesoftware.com This episode's partner is MRPeasy.  Link to sign up:  https://try.mrpeasy.com/rzhgcr9jcov5   The AI-powered MRP software for small manufacturers Ideal for companies with 10 - 200 employees MRPeasy is a seriously powerful yet easy-to-use manufacturing software. It gives you everything you need to manage your manufacturing and distribution.  

Today we're turning tiny tips into big wins. Khuyen Tran, creator of CodeCut.ai, has shipped hundreds of bite-size Python and data science snippets across four years. We dig into open-source tools you can use right now, cleaner workflows, and why notebooks and scripts don't have to be enemies. If you want faster insights with fewer yak-shaves, this one's packed with takeaways you can apply before lunch. Let's get into it. Episode sponsors Sentry Error Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Khuyen Tran (LinkedIn): linkedin.com Khuyen Tran (GitHub): github.com CodeCut: codecut.ai Production-ready Data Science Book (discount code TalkPython): codecut.ai Why UV Might Be All You Need: codecut.ai How to Structure a Data Science Project for Readability and Transparency: codecut.ai Stop Hard-coding: Use Configuration Files Instead: codecut.ai Simplify Your Python Logging with Loguru: codecut.ai Git for Data Scientists: Learn Git Through Practical Examples: codecut.ai Marimo (A Modern Notebook for Reproducible Data Science): codecut.ai Text Similarity & Fuzzy Matching Guide: codecut.ai Loguru (Python logging made simple): github.com Hydra: hydra.cc Marimo: marimo.io Quarto: quarto.org Show Your Work! Book: austinkleon.com Watch this episode on YouTube: youtube.com Episode #522 deep-dive: talkpython.fm/522 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Harish Chandramowli grew up in a small town in India. The goal was simple early on - study well, go to university, and get a job. After undergrad, he realized he can do so much more, eventually coming stateside to get his masters, and meet a ton of really smart people over the last 10 years. Outside of tech, he is a broadway show fanatic, seeing 1-2 on a regular basis. He also follows Manchester United, which can be difficult watching the lose on the regular.Harish used to work for MongoDB, and spent some time on call and in the weeds. At that time, he realized how much data is used by a business. When he eventually supported the fashion industry, specifically the back office, he wanted to build a solution to make the lives of those back office individuals as easy as possible.This is the creation story of Flaire.SponsorsFull ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.flairesoftware.com/https://www.linkedin.com/in/scharish/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

English is now an API. Our apps read untrusted text; they follow instructions hidden in plain sight, and sometimes they turn that text into action. If you connect a model to tools or let it read documents from the wild, you have created a brand new attack surface. In this episode, we will make that concrete. We will talk about the attacks teams are seeing in 2025, the defenses that actually work, and how to test those defenses the same way we test code. Our guides are Tori Westerhoff and Roman Lutz from Microsoft. They help lead AI red teaming and build PyRIT, a Python framework the Microsoft AI Red Team uses to pressure test real products. By the end of this hour you will know where the biggest risks live, what you can ship this quarter to reduce them, and how PyRIT can turn security from a one time audit into an everyday engineering practice. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Tori Westerhoff: linkedin.com Roman Lutz: linkedin.com PyRIT: aka.ms/pyrit Microsoft AI Red Team page: learn.microsoft.com 2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps: genai.owasp.org AI Red Teaming Agent: learn.microsoft.com 3 takeaways from red teaming 100 generative AI products: microsoft.com MIT report: 95% of generative AI pilots at companies are failing: fortune.com A couple of "Little Bobby AI" cartoons Give me candy: talkpython.fm Tell me a joke: talkpython.fm Watch this episode on YouTube: youtube.com Episode #521 deep-dive: talkpython.fm/521 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

A couple years ago, Charlie Marsh lit a fire under Python tooling with Ruff and then uv. Today he's back with something on the other side of that coin: pyx. Pyx isn't a PyPI replacement. Think server, not just index. It mirrors PyPI, plays fine with pip or uv, and aims to make installs fast and predictable by letting a smart client talk to a smart server. When the client and server understand each other, you get new fast paths, fewer edge cases, and the kind of reliability teams beg for. If Python packaging has felt like friction, this conversation is traction. Let's get into it. Episode sponsors Six Feet Up Talk Python Courses Links from the show Charlie Marsh on Twitter: @charliermarsh Charlie Marsh on Mastodon: @charliermarsh Astral Homepage: astral.sh Pyx Project: astral.sh Introducing Pyx Blog Post: astral.sh uv Package on GitHub: github.com UV Star History Chart: star-history.com Watch this episode on YouTube: youtube.com Episode #520 deep-dive: talkpython.fm/520 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy