Podcasts about Shazam

Glenn exposes the Maoist, socialist roots that run deep within the Democratic Party. This is what happens when you adopt the attitude of "the ends justify the means." "Shazam" actor Zachary Levi joins to discuss Google's AI software, VEO 3, and the impact it may have on Hollywood. As Elon Musk steps away from the government and his role in the DOGE, Glenn gives his message of gratitude to Elon. Learn more about your ad choices. Visit megaphone.fm/adchoices

Glenn exposes the Maoist, socialist roots that run deep within the Democratic Party. Do Democrats now support genocide against white people? Glenn runs through the history of Mao, his socialistic worldview and the devastating outcome it had on the Chinese people, and his current influence on the Democratic Party. Glenn and Stu discuss the racial hoaxes that have come recently from Democrats, including the recent WNBA racial hoax involving Angel Reese and Caitlin Clark. "Shazam" actor Zachary Levi joins to discuss Google's AI software, VEO 3, and the impact it may have on Hollywood. Glenn and Stu further discuss the effect AI will have on Hollywood movies and the use of practical effects. As Elon Musk steps away from the government and his role in the DOGE, Glenn gives his message of gratitude to Elon. Glenn and Stu discuss the failures of Congress in not passing the DOGE cuts.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Actor and comedian Johnny Pemberton (FALLOUT) returns to the show for the Shazam and Movie charts, and of course HOT PICKS. Topics include: Fallout Fallout, Spiritual Honda, Log Jamming.Subscribe at www.whochartedpod.com to support the show, and gain access to Two Charted, the weekly Howard/Brett deep-dive bonus show, and the entire Who Charted and Preem Streem archives ad-free! Now includes the Who Charted Holiday Bundle.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Shanon Burgess is back on the stand today and oh boy is it another poor performance from him. Then, Howie talks about the Biden cover up.  Visit the Howie Carr Radio Network website to access columns, podcasts, and other exclusive content.

Erik Childress and Steve Prokopy return to the review beat after a couple weeks off at the Chicago Critics Film Festival. Erik looks at a bunch of influencers terrorized by feral dogs (A Breed Apart) and the story that inspired a cult body horror film (The Darkside of Society). Steve looks at an influential moment for the hearing impaired (Deaf President Now) and The Weeknd's self-indulgent vanity project (Hurry Up Tomorrow). They also offer thoughts on a pair of films chosen for their festival including the strange transformation of a woman in an arranged marriage (Sister Midnight) and Tim Robinson trying to get a little too close to Paul Rudd (Friendship). Finally its been 14 years since Death has come-a-callin'. Could Final Destination: Bloodlines be the best of the franchise? 1:32 – A Breed Apart 9:28 - Deaf President Now! 15:23 – The Darkside of Society 22:58 - Hurry Up Tomorrow 33:37 - Sister Midnight 41:11 - Friendship 54:59 - Final Destination: Bloodlines 1:07:03 - Outro

SUPERMANStupid Superman Lawsuit DismissedJudge Jesse M. Furman tosses out the Superman injunction case. What it means for the movie release.Superman Marketing Heats UpFrom digital billboards to new merch—Warner Bros. kicks promotion into high gear.Superman Trailer Breakdown | https://youtu.be/Ox8ZLF6cGM0Scene-by-scene reactions and analysis. We talk Krypto, Lois, Lex, and… Waid Street?!Listener Feedback – Superman TrailerHear what our community is saying—from Facebook to Threads to Bluesky.Anthony Carrigan on Playing MetamorphoInsight from Carrigan on why James Gunn chose him and what to expect from his performance.Clark & Jimmy's FriendshipSkyler Gisondo talks Superman's human side and bro'ing down behind the scenes.Krypto's Big Brand Collab | https://youtu.be/muHLplSn4EgMilk-Bone x Superman partnership gives us a new comic and adorable promo content.PEACEMAKERPeacemaker Season 2 Trailer Breakdown | https://youtu.be/-QwXokuIZjM                         New footage! A job interview, toxic masculinity callouts, and a wild multiverse tease.SUPERGIRLSupergirl Has Wrapped FilmingJames Gunn confirms production is done. What's next?LANTERNSGreen Arrow Rumor Debunked?Garrett Dillahunt addresses those viral storyboard images. Fans aren't convinced—and neither is Gunn.THE BATMAN PART IIMatt Reeves Still OnboardJames Gunn shuts down rumors about a director switch-up.WBTEA (Warner Bros. Theatrical Entertainment Assortment)Will Poulter Rumored for Adam StrangeGuardians star may be heading to the DCU. Writers' room reportedly assembling.Teen Titans Projects in the Works?A possible Teen Titans Go revival teased by Mike De Luca.Ben Affleck Talks Batman Return Possibility“Anything is possible,” says Affleck—what could that mean?Shazam Director on Fan ToxicityDavid F. Sandberg opens up about death threats and swearing off IPs—until the right horror script came along.NOW STREAMINGDC Films Free on TubiCatch Batman, Batman Returns, Justice League, and more—for free!FEEDBACKFan ReactionsChrisJ023 on Twitter: “This film is nostalgic but your points are right on.”Join Our Riotous DC Debauch!Site: https://dconscreen.comStore: https://bit.ly/DCoStorePatreon: https://patreon.com/dconscreenApple: http://bit.ly/DCoSReviewSpotify: http://bit.ly/DCSCREENSpreaker: https://bit.ly/DCoSSpreaker

The Friday Five for May 16th, 2025: Dunkin' and Starbucks Summer 2025 Menus Viral Music Charts for Content Creation Potential Heart Benefit in Shingles Vaccine Possible Hints at ACA Subsidy Direction for 2026 AHIP 2026 Certification Dates   Dunkin' and Starbucks Summer 2025 Menus: “Dunkin' Summer Menu.” Dunkindonuts.Com, Dunkin', www.dunkindonuts.com/en/summer-menu. Accessed 13 May 2025. Fink, Bailey. “Starbucks Is Bringing Back Customers' ‘Favorite Drink Ever' This Summer.” Allrecipes.Com, Allrecipes, 17 Apr. 2025, www.allrecipes.com/starbucks-summer-menu-2025-11717043. Baker, Nicolette. “Starbucks' Summer Menu Just Dropped — Including a Brand-New Iced Beverage.” Foodandwine.Com, Food & Wine, 15 Apr. 2025, www.foodandwine.com/starbucks-summer-menu-2025-11715175.   Viral Music Charts for Content Creation: “100 Top Trending Songs on TikTok.” Tokchart.Com, Tokchart, tokchart.com/. Accessed 14 May 2025. Bowe, Tucker. “Apple Quietly Gave Your Iphone a Simple yet Fun New Feature.” Gearpatrol.Com, Gear Patrol, 12 May 2025, www.gearpatrol.com/tech/apple-music-shazam-viral-chart/.   “Shazam Viral Global Chart .” Shazam.Com, Shazam, www.shazam.com/charts/viral/world. Accessed 14 May 2025. “Spotify Viral 50 - Global.” Spotify.Com, Spotify, open.spotify.com/playlist/37i9dQZEVXbLiRSasKsNU9?si=4zvmJR7bQnajf6_StIGfuw. Accessed 14 May 2025. “Viral Chart on Apple Music.” Music.Apple.Com, Apple Music, music.apple.com/us/playlist/viral-chart/pl.b127c05305ad413fb742e8585599ec84. Accessed 14 May 2025.   Potential Heart Health Benefit in Shingles Vaccine: McLendon, Russell. “Shingles Vaccine Can Reduce Risk of Stroke And Heart Attack, Study Finds.” Sciencealert.Com, ScienceAlert, 12 May 2025, www.sciencealert.com/shingles-vaccine-can-reduce-risk-of-stroke-and-heart-attack-study-finds. Rudy, Melissa. “Shingles Vaccine Has Unexpected Effect on Heart Health.” Foxnews.Com, FOX News Network, 9 May 2025, www.foxnews.com/health/shingles-vaccine-has-unexpected-effect-heart-health. “Shingles Vaccine Lowers the Risk of Heart Disease for up to Eight Years.” Escardio.Org, European Society of Cardiology, 6 May 2025, www.escardio.org/The-ESC/Press-Office/Press-releases/shingles-vaccine-lowers-the-risk-of-heart-disease-for-up-to-eight-years. Griesser, Kameryn. “Shingles Vaccine Reduces Risk of Heart Disease by 23%, Study of One Million People Finds.” Cnn.Com, Cable News Network, 12 May 2025, www.cnn.com/2025/05/09/health/shingles-heart-disease-vaccine-shots-wellness.   Possible Hints at ACA Subsidy Direction for 2026: Tong, Noah. “CMS Hints at Possible Cost-Sharing Reduction Payments for Insurers, Impacting ACA Enrollment.” Fiercehealthcare.Com, Fierce Healthcare, 7 May 2025, www.fiercehealthcare.com/payers/cms-hints-possible-cost-sharing-reduction-payments-insurers-impacting-aca-enrollment. “Explaining Health Care Reform: Questions About Health Insurance Subsidies.” Kff.Org, KFF, 25 Oct. 2024, www.kff.org/affordable-care-act/issue-brief/explaining-health-care-reform-questions-about-health-insurance-subsidies/. “Offering of Off-Exchange-Only Plans without ‘CSR Loading.'” Cms.Gov, Centers for Medicare & Medicaid Services, 2 May 2025, www.cms.gov/files/document/offering-exchange-only-plans-without-csr-loading.pdf. “Plan Year 2026 Individual Market Rate Filing Instructions.” Cms.Gov, Centers for Medicare & Medicaid Services, 2 May 2025, www.cms.gov/files/document/py-26-individual-market-rate-filing-instructions.pdf.   AHIP 2026 Certification Dates: “AHIP Medicare + Fraud, Waste, and Abuse Online Course.” Ahipmedicaretraining.Com, AHIP, www.ahipmedicaretraining.com/page/login. Accessed 13 May 2025.   Resources:   Follow Us on Social! Ritter on Facebook, https://www.facebook.com/RitterIM Instagram, https://www.instagram.com/ritter.insurance.marketing/ LinkedIn, https://www.linkedin.com/company/ritter-insurance-marketing TikTok, https://www.tiktok.com/@ritterim X, https://x.com/RitterIM and YouTube, https://www.youtube.com/user/RitterInsurance     Sarah on LinkedIn, https://www.linkedin.com/in/sjrueppel/ Instagram, https://www.instagram.com/thesarahjrueppel/ and Threads, https://www.threads.net/@thesarahjrueppel  Tina on LinkedIn, https://www.linkedin.com/in/tina-lamoreux-6384b7199/   Not affiliated with or endorsed by Medicare or any government agency. Contact the Agent Survival Guide Podcast! Email us ASGPodcast@Ritterim.com or call 1-717-562-7211 and leave a voicemail.

In this Reel Insights episode, Sean Tajipour, the Mayor of Nerdtropolis, chats with SHAZAM! star Grace Caroline Currey about her bonkers new horror-comedy A Breed Apart, where killer dogs, influencer satire, and chaotic laughs collide.Grace opens up about stepping into one of her most fun and fearless roles yet—trading in superhero tears for sarcasm, survival, and some seriously wild canines. She talks about reuniting with her Fall co-star Virginia Gardner, improvising with Joey Bragg, and embracing the absurdity of a mystery island filled with social media stars and deadly pups.We dive into her love for horror-comedy, laugh-out-loud behind-the-scenes moments, and how A Breed Apart gave her a chance to do something totally unexpected (and not cry for once!).With man-eating dogs, viral influencer chaos, and nonstop laughs, A Breed Apart is a wild ride you don't want to miss. Grace's energy, humor, and storytelling shine in this fun and revealing convo.In theaters, on demand, and on digital on May 16, 2025.Visit Nerdtropolis.comFacebookInstagramTwitter

Yesterday was very dark, cloudy & rainy.  Took the family into Cocoa Village, Florida to The Lori Prell Studio to do a family painting session.  Then we were off to Ron Jon's and dinner at Da Kine Diego Burrito.  Back to home for an episode of The X Files Season 11 Episode 8 about AI.  Today, who know what it holds yet for the dawn is just breaking!  On vacation with family visiting this week!  "Best Of Shows!" posted from the correct dates...like today being May 12, but from various years past!  I do NOT have the play lists.  Shazam or Sound hound the songs to find out who is who and what is what.  Back on May 20th!

Yesterday was very dark, cloudy & rainy.  Took the family into Cocoa Village, Florida to The Lori Prell Studio to do a family painting session.  Then we were off to Ron Jon's and dinner at Da Kine Diego Burrito.  Back to home for an episode of The X Files Season 11 Episode 8 about AI.  Today, who know what it holds yet for the dawn is just breaking!  On vacation with family visiting this week!  "Best Of Shows!" posted from the correct dates...like today being May 12, but from various years past!  I do NOT have the play lists.  Shazam or Sound hound the songs to find out who is who and what is what.  Back on May 20th!

In this episode, Madd Hatta chops it up with Shazam Conner of the legendary group H-Town, diving deep into resilience, legacy, and the power of reinvention. Shazam shares how he's keeping the iconic H-Town sound alive while evolving as an artist and a man. It's a raw, inspiring conversation about bouncing back and building a lasting musical legacy.

On vacation with family visiting this week!  "Best Of Shows!" posted from the correct dates...like today being May 12, but from various years past!  I do NOT have the play lists.  Shazam or Sound hound the songs to find out who is who and what is what.  Back on May 20th!

On vacation with family visiting this week!  "Best Of Shows!" posted from the correct dates...like today being May 12, but from various years past!  I do NOT have the play lists.  Shazam or Sound hound the songs to find out who is who and what is what.  Back on May 20th!

On vacation with family visiting this week!  "Best Of Shows!" posted from the correct dates...like today being May 12, but from various years past!  I do NOT have the play lists.  Shazam or Sound Hound the songs to find out who is who and what is what.  Back on May 20th!

The latest In Touch With iOS with Dave he is joined by guests Chuck Joiner, Eric Bolden, Marty Jencius, Jeff Gamet.  In this episode, we explore Apple's latest ecosystem updates, including Vision Pro 2.5, iOS 18.5 features, Apple's AI initiatives, new Apple Arcade games, Apple Music's viral playlist, and more—plus insights on the upcoming MacStock event. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Spoutible Summary In this packed episode of In Touch with iOS, David Ginsburg is joined by Eric Bolden, Chuck Joiner, Marty Jencius, and Jeff Gamet to cover the latest in Apple news and trends. The panel kicks things off with a deep dive into the Vision Pro 2.5 release candidate, highlighting a redesigned Apple TV app with a new immersive video tab that consolidates 3D and VR content for easier access. Next, we explore iOS 18.5's newest updates, including Pride-themed wallpapers and enhancements benefiting even older iPhone models like the iPhone 13. The conversation shifts to Apple's AI strategy with Apple Intelligence, critiquing its focus on current features while discussing the broader future of AI, ChatGPT, and productivity tools in the Apple ecosystem. The team also reviews exciting new Apple Arcade titles—like the quirky “What the Car?”—that leverage Vision Pro's immersive experiences. Additional discussions cover Apple Card's evolving cash-back offers, the nostalgic integration of Shazam with Apple Music's viral playlists, and reflections on Skype's shutdown as an era of internet communication comes to a close. Wrapping up, the panel shares insights about the upcoming MacStock conference, inviting listeners to join in the community of Apple enthusiasts for more learning and networking opportunities. Topics and Links In Touch With Vision Pro this week.  visionOS 2.5 Release Candidate Announced Apple Arcade adds five new games in June, including UNO: Arcade Edition Beta this week.  Apple Seeds iOS 18.5 and iPadOS 18.5 Release Candidates IOS 18.5 Update Refines IPhone And IPad Experience With Practical Enhancements Here Are Apple's Full iOS 18.5 Release Notes  iOS 18.5 Brings Support for Carrier Satellite Connectivity to iPhone 13  iOS 18.5 Includes a Useful Change to Screen Time iOS 18.5 will make carrier satellite service like T-Mobile Starlink work on older iPhones In Touch With Mac this week Apple Seeds macOS Sequoia 15.5 Release Candidate  Future Magic Mouse Could Bring Vision Pro-Style Air Gestures To Macs - AppleMagazine Apple Intelligence  Available Apple Intelligence Features Highlighted in New Ad - MacRumors Tim Cook addresses Apple's delay of personalized Siri features additional time to meet Apple's high-quality standards but assured that progress is being made. Apple Intelligence 2.0: Here's what's coming to your iPhone next - 9to5Mac News My OWC App for iOS – Manage OWC Gear with Ease Kindle App Gets Biggest iOS Change in Over a Decade Skype Shuts Down After 22 Years, Ending an Era of Internet Calling Netflix Launching Redesigned TV Experience, AI Search, and Improved Recommendations Google Gemini App Gets iPad Optimization  Apple Music launches new ‘Viral' playlist fueled by Shazam activity - 9to5Mac Apple TV+ Renews Seth Rogen's ‘The Studio' For Season Two Ahead Of Finale - AppleMagazine Apple introduces the 2025 Pride Collection PSA: Apple Card Daily Cash Back From T-Mobile Dropping to 2% in July  Apple Card Users Get a Free Six Month Uber One Trial Announcements Macstock 9 is here for 3 Days on July 11, 12, and 13th, 2025. We have an exclusive coupon code use INTOUCH50 at checkout and save $50..Click here to Register | Macstock Conference & Expo Book your room with a Macstock discount here. Location | Macstock Conference & Expo I hope to see you there! Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastadon @daveg65, and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet as well as Twitter and Instagram as @jgamet  His YouTube channel https://youtube.com/jgamet Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  About our Guest Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.

Rude Horror Podcast Ep. 99 – Manhattan Baby & Fabio Frizzi Live at Capitol Theatre! Dive into the eerie world of Lucio Fulci's Manhattan Baby as we unravel its supernatural chills, cryptic storytelling, and haunting score. Plus, we gear up for an unforgettable night as legendary composer Fabio Frizzi brings his atmospheric soundscapes to the Capitol Theatre in Davenport, Iowa, on May 8th. Tune in for deep horror insights, Fulci's signature madness, and the music that keeps his legacy alive!- **Fabio Frizzi at Capitol Theatre, Davenport (May 8, 2025)** - First Fleet Concerts -https://www.firstfleetconcerts.com/events/detail/frizzi-to-fulci-2025-zombie-the-composers-cut-876611 - Bandsintown - https://www.bandsintown.com/e/1034963844-fabio-frizzi-at-capitol-theatre - Shazam - https://www.shazam.com/event/f8afbb3b-984f-4b35-8e14-b15ed7aa2cab- AXS - https://www.axs.com/de/events/876611/frizzi-to-fulci-2025-zombie-the-composers-cut-tickets- **Rude Horror Podcast** - Apple Podcasts -https://podcasts.apple.com/us/podcast/rude-horror-podcast/id1512926883 - Linktree (socials & Patreon) -https://linktr.ee/rudehorrorpodcast YouTube - https://www.youtube.com/@rudehorrorpodcastwww.Rudehorrorpodcast.com

Hack your brain with Magic Mind: go to magicmind.com/fcmay for 20% off and up to 48% off your subscription! Survive the night, Kill Donkeys! It's time for FOOD COURT, your favorite podcast, where we brave the malls and the movie halls so you don't have to! Sean and Mampy watched Until Dawn, the new horror movie from the director of Shazam 2? Will the fellas jump out of their seats? Or will they hop into bed because they're so bored? Tune in to find out! So grab your popcorn, sneak in your snacks, and pop your pepto because it's time to smash a man's head with a sledge hammer! Bon Appétit!

This week the boys are joined by their sister Danielle to review the latest video game adaptation Until Dawn. David Sandberg returns to horror in this one as requested by the Wild Dream crew during their review of Shazam 2, but this one may just be as commercial and studio heavy as the super hero action flick.

Al & Val return to the most musical meta beach universe for Teen Beach 2. Will they fix the story before they disappear?! Teen Beach 2 (June 27, 2015)IMDB WikipediaDirected by Jeffrey Hornaday (Geek Charming, Teen Beach 1&2 - no credits past 2015)Written by Billy Eddy & Matt Eddy (Zapped, Bad Hair Day, Monster High 1 & 2, Eureka), Dan Berendsen (Up Up and Away, Scream Team, Eddie's Million Dollar Cookoff, Stuck in the Suburbs, Halloweentown High, Twitches, Twitches Two, Hannah Montana movie, Wizards of Waverly Place the movie, Cheetah Girls: One World, Camp Rock 2, Sabrina the Teenage Witch)Starring: Ross Lynch as Brady (Teen Beach 1&2, Austin & Ally, Chilling Adventures of Sabrina, music videos)Maia Mitchell as McKenzie (Mack) (Mortified, Trapped, Teen Beach 1&2, The Fosters, Good Trouble)Grace Phipps Gillam as Lela (Teen Beach 1&2, Z Nation)Garrett Clayton as Tanner (Teen Beach 1&2, character actor)John DeLuca as Butchy (Teen Beach 1&2, character actor)Chrissie Fit as Cheechee (Teen Beach 1&2, General Hospital, Pitch Perfect 2&3, voice & character actor)Piper Curda as Alyssa (Rule the Mix, A.N.T. Farm, Randy Cunningham: 9th Grade Ninja, I Didn't Do It, Legacies, Matlock)Beth Lacke as Brady's mother (character actor - Happy Hour, Work It, Frequency, HSMTMTS, Chicago Med)Jordan Fisher as Seacat (voice actor, Archibald's Next Big Thing, HSMTMTS, Turning Red, The Flash)Raymond Cham Jr. as Devon (Mech-X4, Five Points, The Big Leap, Sort Of)Ross Butler as Spencer (K.C. Undercover, Shazam! 1&2, 13 Reasons Why, To All The Boys 2 & 3, Raya and the Last Dragon, Riverdale)Synopsis: Months after surfer sweethearts McKenzie and Brady return from a summer adventure, that transported them into Brady's favourite 1960s beach party movie, `Wet Side Story', they receive a surprise visit from their newfound surfer and biker buddies.Fun Facts: Ross Lynch's band, R5, wrote a song for the movie.Next Movie: Descendents ★ Support this podcast on Patreon ★

JSA #58 / Hawkman #25 (2004)Apologies for the delay but here it is — the final chapter in our #JSApril stint as we cover the final two installments of the “Black Reign” story arc!First in JSA, we suffer a few unintentional casualties on the heel side, Doctor Fate gets trapped in suburbia and Brainwave Jr. Jr. Jr. has actual brain WORMS in his head and they're…friendly, sort of?Then in HAWKMAN, Shazam gets sniffing, Hawkman gets emotional, Green Lantern gets creative and Atom Smasher has a series of massive sulks as “Black Reign” comes to a conclusion.All this plus Jen and Shawn chat about Night One of WrestleMania and the Atom's preferred method of international transportation.*** PROPER COMIC BOOK DISCUSSION STARTS AT 00:10:05 ***Promos: #JSAPRIL (https://fireandwaterpodcast.com/podcast/jsapril/) / THE MONITOR TAPES (http://themonitortapes.com)Continue the conversation with Shawn and Jen on Twitter / Instagram / Facebook / Threads / Bluesky or email the show at worstcollectionever@gmail.comAlso, get hip to all of our episodes on YouTube in its own playlist! https://bit.ly/WorstCollectionEverYTDownload the podcast on Spotify, Apple Podcasts and wherever you get your favorite shows. Please rate, review, subscribe and tell a friend!

JSA #57 / Hawkman #24 (2004)It's a double dose of #JSApril this week as we double up the conversation on the next two installments of the “Black Reign” story arc!In JSA, the team makes its way to Kahndaq, having to use air travel as opposed to magic travel because Nabu's being REAL cranky these days. Along the way, Power Girl calls Hawkman an ass, Black Adam bifurcates thru the JSA transport and all of Northwind's friends, with their bird talons and supple chests, look to make mincemeat of the heroes.Over in HAWKMAN, Doctor Fate seemingly turns heel as Nabu mucks up the JSA on the offensive. Hawkman clangs his own son on the head with his mace, Brainwave probes Shazam's teenage thoughts and Hourman is gutted….literally!All this plus Jen and Shawn offer a correction regarding Billy Batson's age and discuss Jason Todd's failed pro wrestling career.*** PROPER COMIC BOOK DISCUSSION STARTS AT 00:09:55 ***Promos: #JSAPRIL (https://fireandwaterpodcast.com/podcast/jsapril/) / THE MONITOR TAPES (http://themonitortapes.com)Continue the conversation with Shawn and Jen on Twitter / Instagram / Facebook / Threads / Bluesky or email the show at worstcollectionever@gmail.comAlso, get hip to all of our episodes on YouTube in its own playlist! https://bit.ly/WorstCollectionEverYTDownload the podcast on Spotify, Apple Podcasts and wherever you get your favorite shows. Please rate, review, subscribe and tell a friend!

Send us a textHave you ever wondered if we live in a simulation?  Joined by my fellow witchy bestie, Terra Turner, we're reacting to your WILDEST Glitch in the Matrix stories, as well as swapping our own spooky experiences.  Buckle up, bitches - this one's gonna have you questioning everything. Everything Terra Turner: Follow @HealingWithTerra on IG Email: Lucky13Terra@gmail.comGlobal Healing: Colon Cleanse Protocol * Terra Turner is currently being certified in Natural Health Coaching, Level 2 Reiki and QHHT.  MORE BBG: * Free Ebook - Broken Bitches Guide to a HIGHER VIBE! * BBG Merch - "I'm a F*cking Delight" Coffee Mug * Follow - @BrokenBitchesGuide on Instagram! Submit a question, or story to: BrokenBitchesGuide@MandyBrooke.comFOLLOW ME! @MandyBrookeOfficialInstagram TikTok YouTube Facebook Spotify My Amazon Store Affiliates: Hooga Red Light Therapy Devices 10% off code: MANDYBROOKE Herbal Face Food20% off code: MANDYBROOKE Love You Thr...

That slick hook and spot-on beat playing over the PA in Target, at Cumberland Farms, in the venue before the headliner takes the stage: WHO IS THAT?  WHAT'S THAT SONG?We all have the Shazam app loaded on our phones, and it's wild to think that for more than half our lives (speaking for the Diarists), we did without it.  Here are four songs Bob, Brad, Mark, and Carla dialed up over Shazam.  Reach out to us with some of your own discoveries on Twitter and Insta.Find the Playlist on Spotify + Apple Music.  If you like what you hear, please share, rate and review us!Credits: Intro/ Outro — the Februarys, "Does Your Father Know"/ "... In a Letter." 

Hawkman #23 (2004)#JSApril continues to chug along as we jump over to HAWKMAN for the next installment of the “Black Reign” arc!Before it all goes to hell, the JSA are in St. Roch aka Earth-One New Orleans for honor Hawkman on his presumed birthday. The JSA is wild in the streets as Power Girl endures a fortune telling, Wildcat plays pocket pool, Doctor Mid-Nite threatens to drown a man with his own blood and Hourman Jr. Jr. sweats it out in the hotel.This all culminates at the Hawkman party where Carter, fresh from mutilating Matter Master, fills the team in on the Kahndaq situation and it gets real REAL fast.All this plus Jen and Shawn chat about yet another shopping excursion resulting in Nightwing action figure repaints and more BatCat wins!*** PROPER COMIC BOOK DISCUSSION STARTS AT 00:15:13 ***Promo: #JSAPRIL (https://fireandwaterpodcast.com/podcast/jsapril/)Continue the conversation with Shawn and Jen on Twitter / Instagram / Facebook / Threads / Bluesky or email the show at worstcollectionever@gmail.comAlso, get hip to all of our episodes on YouTube in its own playlist! https://bit.ly/WorstCollectionEverYTDownload the podcast on Spotify, Apple Podcasts and wherever you get your favorite shows. Please rate, review, subscribe and tell a friend!

 With my music episodes, I try to present to you evergreen tracks that will be with you for a while. I subscribe to a ton of record pools beyond digging through blogs, Patreon, streaming services, Shazam, and the like. I thought I would share my top 10 most interesting musical track finds with you from the month of March 2025. Bonus: I'll give you the source on where to find the tracks I talk about. Not only do I hope to save you time in finding gems but I also give you my take on how/where I use them within my sets.     My Patreon Shop is live! Grab documents and music listings a la carte. I'm on YOUTUBE! Please subscribe and share. Thanks in advance.Check out my podcast website and my premium podcast content community page.DJs: Interested in Heavy Hits Music Pool? Go to https://heavyhits.com/For my podcast listeners only, enter promo code: BRIANB - it gets you a 30 day trial for $5. Try it now.DJs: Did you know I launched a course? It's called the "Value Based DJ Course" which will help you land your ideal clients, get paid what you need and give you the flexibility to figure out how many events you want to work. Get it today at https://www.thedjscreativeedge.com/Have a topic you want covered? Drop me a DM at @thetraveldjblend. Has this podcast helped you? Share your thoughts by leaving a review on the Apple Podcast App.

  With my music episodes, I try to present to you evergreen tracks that will be with you for a while. I subscribe to a ton of record pools beyond digging through blogs, Patreon, streaming services, Shazam, and the like. I thought I would share my top 10 most interesting musical track finds with you from the month of February 2025. Bonus: I'll give you the source on where to find the tracks I talk about. Not only do I hope to save you time in finding gems but I also give you my take on how/where I use them within my sets.    My Patreon Shop is live! Grab documents and music listings a la carte. I'm on YOUTUBE! Please subscribe and share. Thanks in advance.Check out my podcast website and my premium podcast content community page.DJs: Interested in Heavy Hits Music Pool? Go to https://heavyhits.com/For my podcast listeners only, enter promo code: BRIANB - it gets you a 30 day trial for $5. Try it now.DJs: Did you know I launched a course? It's called the "Value Based DJ Course" which will help you land your ideal clients, get paid what you need and give you the flexibility to figure out how many events you want to work. Get it today at https://www.thedjscreativeedge.com/Have a topic you want covered? Drop me a DM at @thetraveldjblend. Has this podcast helped you? Share your thoughts by leaving a review on the Apple Podcast App.

Lords: * Erica * Jenni Topics: * The chaos you missed * Having a baby is like being assigned a set of hobbies you don't necessarily care about but are expected to engage in full-time * Do people actually live longer in Greece and Japan or do they just have more pension fraud? * Too Many Women Become Desperate, by Infinite Sexy Marriage * https://bsky.app/profile/infinitesexy.bsky.social/post/3lcxskqdmoc26 * Is it possible to never show your kid Cocomelon and they never demand to be shown Cocomelon or are they gonna find out about it through osmosis Microtopics: * Beneficial nematodes: are they really that good? * How to pronounce "iykyk." * Singing "beneficial nematodes" to the tune of Hall of the Mountain King. * Going extreme on the melismas. * The Saying Hi Chamber. * Shazam chastising you for singing. * 100 MIDIs that some Chinese intern threw together in a couple of hours and now every baby is going to grow up with these tunes in their heads. * Inventing a new way to live that's worse in every respect. * Having dinner with a friend while grandma puts the kid to bed. * A baby getting upset because he isn't staring at geometric shapes right now. * Making sure the baby makes all the right neural connections and not the wrong ones. * A video of a guy walking down every street in Vice City. * Twenty minutes of people icing cakes. Not the really fancy cakes, just regular-ass cakes. * Clutching at your face as the cake icer puts red next to brown. * Caking Bad. * A coup amongst the Smithsonian National Zoo's naked mole rats. * Stabbing your mom with your teeth so that you can breed. * A horrible skin creature with prehensile chopsticks. * Eusocial mammals. * Growing extra vertebrae every time you give birth. * A Topic Lords field trip to the naked mole rat colony to meet the new queen. * Intervertebral red shift. * EBF, EFF and EP. * Wake windows and contact naps. * Holding them like a football and making a sandwich and putting the sandwich in the football, and now you're breastfeeding! * Whether it's ethical to leave your baby at the Burger King or if you need to go fast casual. * The poop potato who has opinions. * You gotta draw the line somewhere, and it's sweeping the floor. * All the things you're not supposed to put in the crib with the baby. * Replacing your baby with a gerbil because you're not allowed to kiss your baby on the forehead in case you have a cold sore. * How to tell if a gerbil has been replaced with a similar gerbil. * Paying $7/month for the NYT crossword but not getting access to the articles so you click on the crossword constructors' notes but you're already at your three free article limit. * Anthrocyanins. * Cynical Jim says yes, Regular Jim says maybe. * The most domesticated mammal: man. * Small Japanese women having the longest lifespans because they hide in your crawlspace and death cannot find them. * Old ladies? In my duct work? * Hoping there are no old ladies living in your duct work because you haven't cleaned in s while and there are probably mold spores in there * Poop Songs for Roy. * Thinking of the shrieking old lady as a sonic shower for you duct work. * The future-episodes channel, where we discuss episodes that may one day exist. * Remember that time when you retweeted a thing and it turned into a picture of a fish. * The ransom note on top of peach tarts aesthetic. * Welcome to lesbianism. Here is your greeting card with peaches. * Whether reverse image search is bad now or if it was always bad. * The Poem is Entertaining. * Speculative fiction about soviets invading. * The kind of poem you'd read in feminist bookstores in the early 00s. * Children's YouTube channels full about new wave songs about trucks. * Showing your child only OG Sesame Street episodes so they can't relate to adults or children their own age and are technically Xennials. * Xennial Warrior Princess. * Everything's more true when you're wearing pants. * The 25th place you can post pictures of your baby. * The legend of Shrimptaur. * Hide in the discord and never post. * Finally writing the tweet that's going to make John Hodgman unfollow you

JSA #56 (2004)Welcome to #JSApril! Worst Collection Ever is proud to participate in this celebration of JSA content by delivering our wicked takes on Geoff Johns's “Black Reign” saga!This issue plays out more like the first act of a promsing action flick, with Black Adam recruiting a crew of disenchanted, mayhem-seeking folks to help him liberate his home country of Kahndaq. We got the assassin Nemesis, a tatted-up Eclipso, a freshly-mutated Northwind, a conflicted Atom Smasher and Chester Bennington of Linkin Park aka Brainwave aka Robert Englund from the V mini-series. The scene gets bloody and emotional and there are cooling brains all over the place.We also spend a bit of time parsing out Northwind's creation so, if you new to the podcast, put a fun movie on for the kids and then hide under a blanket while you listen to this.All this plus Jen and Shawn buy a bunch of cheap trades, new DC Absolute offerings and the Hawk Tuah Girl runs afoul of the Dark Knight![NOTE — we (or specifically Shawn) refers to Northwind a bunch as “Hawkwind.” Hawkwind was a band that Lemmy was in before Motörhead - we are aware of this. We will most likely screw this up again, so there you go]*** PROPER COMIC BOOK DISCUSSION STARTS AT 00:22:14 ***Promo: #JSAPRIL (https://fireandwaterpodcast.com/podcast/jsapril/)Continue the conversation with Shawn and Jen on Twitter / Instagram / Facebook / Threads / Bluesky or email the show at worstcollectionever@gmail.comAlso, get hip to all of our episodes on YouTube in its own playlist! https://bit.ly/WorstCollectionEverYTDownload the podcast on Spotify, Apple Podcasts and wherever you get your favorite shows. Please rate, review, subscribe and tell a friend!

SPONSOR: Direct Bullion. Download your free Guide to Gold Pensions Now. (plus get a special bonus).CLICK HERE NOW: https://robmoore.directbullion.com Rob speaks to Raj, the founder of Shazam, who sold his company to Apple for a reported $400 million. Raj talks about building Shazam, including the fact that it took 15 years to become profitable! From raising over $150 million across multiple funding rounds to navigating an 18 month exit process, Raj's gives his thoughts and experiences on entrepreneurship, investment philosophy, and leadership. KEY TAKEAWAYS Shazam took 15 years to reach profitability before selling to Apple for $400 million. Raj and his partners raised over $150 million across multiple funding rounds, showing the importance of investor patience and founder persistence in tech startups. When pitching to investors, focus on ‘magical thinking’ which is projecting your vision clearly until others believe it. Spend time having multiple conversations and look for investors who genuinely connect with your story. Building a successful exit takes time, Shazam's sale involved a nine month transaction period plus another nine months for regulatory approval. Clean, transparent deal structures are preferable to complexity. The most vital trait for entrepreneurs is being mentally fluid, knowing when to pivot, learning faster than the market by processing new information and paying attention to weak signals is essential. Leadership isn't about micromanagement but setting up problems for your team to solve rather than dictating solutions. This allows smarter team members to develop innovative approaches. BEST MOMENTS "I like to call myself a tech for good investor so I try to invest in companies which are aiming to make a difference in the world... It's very rewarding in the sense of intellectual stimulation. I'm not quite sure if it's going to be rewarding financially, the jury is out." "The market is constantly moving. You have new technology, new opportunities, competition, new products being launched. Your job as an entrepreneur is to learn faster than the market." "If you are a parent and your kid is starving, you're short of food, are you going to give up on that kid? Never. You'll do whatever it takes to keep that child alive. And that's what we had to do." VALUABLE RESOURCES https://robmoore.com/ bit.ly/Robsupporter https://robmoore.com/podbooks rob.team ABOUT THE HOST Rob Moore is an author of 9 business books, 5 UK bestsellers, holds 3 world records for public speaking, entrepreneur, property investor, and property educator. Author of the global bestseller “Life Leverage” Host of UK’s No.1 business podcast “The Disruptive Entrepreneur” “If you don't risk anything, you risk everything” CONTACT METHOD Rob’s official website: https://robmoore.com/ Facebook: https://www.facebook.com/robmooreprogressive/?ref=br_rs LinkedIn: https://uk.linkedin.com/in/robmoore1979 See omnystudio.com/listener for privacy information.

This week Adam Brody (Fleishman is in Trouble, Shazam!, The O.C.) stops by and wins the group over with his endless trove of middle school stories. Adam gets passionate explaining his take on marriage, and shares why he’s the happiest he’s ever been. Follow Podcrushed on socials! Twitter TikTok InstagramSee omnystudio.com/listener for privacy information.

This Week on Earth Station DCU! Drew Leiter and Cletus Jacobs know that catching up is hard to do. The Justice League and The Justice Society team up to take on Eclipso in Batman/Superman: World's Finest #31, 32, & 33. Selena Kyle undergoes brain surgery performed by Hush in Catwoman #68 and then goes on the run in Catwoman #68 & 69 when her life is threatened by an assassin. The Speed Force gives birth to a new creation in The Flash #13. Wally West splits himself into two beings with the help of his future son...one to go on vacation with the family and the other to help out the Justice League in The Flash #14 & 15. Freddy Freeman gains mysterious powers and starts calling himself The Commander, a higher ranking title than The Captain and the two start fighting over the affections of the girl next door, while Mary Marvel deals with Dr. Georgia Sivana in Shazam! 15, 16, 17, & 18. The Titans take on Trigon in Titans #15. Donna Troy takes over as leader of the Titans and goes up against Clock King in Titans #16 & 17. All this plus, DC News, Shout Outs, and much, much more! ------------------------ Table of Contents 0:00:00 Show Open 0:01:00 DC News 0:04:26 Batman/Superman: World's Finest #31, 32, 33 0:07:44 Catwoman #68 0:10:42 Catwoman #69 & 70 0:13:18 The Flash #13 0:15:20 The Flash #14 & 15 0:21:56 Shazam! #15, 16, 17 0:29:42 Titans #15 0:31:45 Titans #16 & 17 0:37:32 Show Close   Links Batman/Superman: World's Finest #31 Batman/Superman: World's Finest #32 Batman/Superman: World's Finest #33 Catwoman #68 Catwoman #69 Catwoman #70 The Flash #13 The Flash #14 The Flash #15 Shazam! #15 Shazam! #16 Shazam #17 Shazam #18 Titans #15 Titans #16 Titans #17 The Flash: Rebirth (Cletus's Read More Comics Pick) patreon.com/DCUBatChums Earth Station DCU Website The ESO Network If you would like to leave feedback, comment on the show, or would like us to give you a shout out, please call the ESDCU feedback line at (317) 455-8411 or feel free to email us @ earthstationdcu@gmail.com

  With my music episodes, I try to present to you evergreen tracks that will be with you for a while. I subscribe to a ton of record pools beyond digging through blogs, Patreon, streaming services, Shazam, and the like. I thought I would share my top 10 most interesting musical track finds with you from the month of January 2025. Bonus: I'll give you the source on where to find the tracks I talk about. Not only do I hope to save you time in finding gems but I also give you my take on how/where I use them within my sets.   My Patreon Shop is live! Grab documents and music listings a la carte. I'm on YOUTUBE! Please subscribe and share. Thanks in advance.Check out my podcast website and my premium podcast content community page.DJs: Interested in Heavy Hits Music Pool? Go to https://heavyhits.com/For my podcast listeners only, enter promo code: BRIANB - it gets you a 30 day trial for $5. Try it now.DJs: Did you know I launched a course? It's called the "Value Based DJ Course" which will help you land your ideal clients, get paid what you need and give you the flexibility to figure out how many events you want to work. Get it today at https://www.thedjscreativeedge.com/Have a topic you want covered? Drop me a DM at @thetraveldjblend. Has this podcast helped you? Share your thoughts by leaving a review on the Apple Podcast App.

The movie so boring it tanked an entire cinematic universe. It's Kraven The Hunter this time on Harmless Phosphorescence!   Support the show and get early access and exclusive content at  https://www.patreon.com/harmlessentertainment   https://www.youtube.com/channel/UCEDmdtUAW_pJYCJfaZV7Unw/live   Buy some Merch! https://www.teepublic.com/stores/attention-hellmart-shoppers   Check out Executive Producer Michael Beckwith's movie website at https://upallnightmovies.com/   Siskel and Ebert Scale Josh - Down Brian - Down Al - Down Thoreau - Down   RANKINGS 1 Endgame 2 Spider-Man No Way Home 3 Infinity War 4 Logan 5 Deadpool & Wolverine 6 Captain America: Civil War 7 The Avengers 8 The Dark Knight 9 THE Suicide Squad 10 Thor Ragnarok 11 Guardians of the Galaxy vol 3 12 Black Panther 13 Iron Man 14 Captain America: The Winter Soldier 15 Guardians of the Galaxy vol 2 16 Guardians of the Galaxy 17 Batman Begins 18 Batman 89 19 Spider-Man 2 20 Spider-Man Homecoming 21 Spider-Man Far From Home 22 Black Panther: Wakanda Forever 23 Thor: Love and Thunder 24 Deadpool 2 25 Deadpool 26 The Batman 27 Captain America: The First Avenger 28 Spider-Man 29 X-Men: Days of Future Past 30 Dr Strange in the Multiverse of Madness 31 Shang-Chi 32 Joker 33 Captain Marvel 34 Ant-Man 35 Blue Beetle 36 Black Widow 37 Ant-Man and the Wasp 38 Eternals 39 Avengers: The Age of Ultron 40 Birds Of Prey 41 Wonder Woman 1984 42 Wonder Woman 43 Iron Man 3 44 The Dark Knight Rises 45 Superman 1978 46 The Marvels 47 Dr Strange 48 Thor 49 Kick-Ass 50 X-Men First Class 51 Hellboy 52 X2 53 Darkman 54 Iron Man 2 55 Swamp Thing 56 Hellboy II: The Golden Army 57 Watchmen 58 X-Men 2000 59 Batman Returns 60 Blade 61 Defendor 62 Unbreakable 63 The Crow 64 Batman 66 65 Orgazmo 66 Superman II 67 Ant-Man & The Wasp: Quantumania 68 Shazam! 69 Thor: The Dark World 70 The Wolverine 71 Superman Returns 72 Blade II 73 Mystery Men 74 Super 75 Teenage Mutant Ninja Turtles 76 Venom: The Last Dance 77 Chronicle 78 Ghost Rider: Spirit of Vengeance 79 Man of Steel 80 Venom: Let There Be Carnage 81 The Green Hornet 82 The Incredible Hulk 83 Sky High 84 The Mask 85 Constantine 86 The New Mutants 87 The Rocketeer 88 Superman III 89 Buffy the Vampire Slayer 90 The Return of Swamp Thing 91 The Flash 92 Shazam! Fury of the Gods 93 Superhero Movie 94 Blade Trinity 95 Batman V Superman: Dawn of justice 96 Venom 97 Aquaman and the Lost Kingdom 98 Black Adam 99 Fantastic Four: The Rise of Silver Surfer 100 Hancock 101 Fantastic Four 102 Madame Web 103 Blankman 104 Supergirl 105 The Crow 2024 106 Hellboy 2019 107 Power Rangers 108 The Meteor Man 109 Justice League 110 X-Men Last Stand 111 Van Helsing 112 Spiderman 3 113 The Amazing Spider-Man 114 TMNT2 115 Superman and the Mole Men 116 Green Lantern 117 Ghost Rider 118 TMNT3 119 Hero At Large 120 Push 121 Jumper 122 Condorman 123 Howard The Duck 124 Aquaman 125 Punisher: War Zone 126 Toxic Avenger Part II 127 TMNT: OOTS 128 TMNT14 129 Hulk 130 Bloodshot 131 Daredevil 132 The Crow: City of Angels 133 The Punisher 04 134 The Punisher 89 135 Batman Forever 136 Kick Ass 2 137 Steel 138 Glass 139 The League of Extraordinary Gentlemen 140 The Amazing Spider-Man 2 141 X-Men: Apocalypse 142 Split 143 Suicide Squad 144 Brightburn 145 X-Men Origins: Wolverine 146 The Adventures of Sharkboy and Lavagirl 147 Sgt Kabukiman NYPD 148 The Phantom 149 Toxic Avenger 150 The Mighty Morphin Power Rangers 151 The Shadow 152 The Toxic Avenger Part III 153 Spawn 154 Batman and Robin 155 Elektra 156 Morbius 157 My Super Ex-Girlfriend 158 Zoom 159 Underdog 160 Catwoman 161 The Spirit 162 Jonah Hex 163 Fant4stic 164 Max Steel 165 Superman IV: The Quest For Peace 166 Dark Phoenix 167 Citizen Toxie: The Toxic Avenger IV 168 Fast Color 169 Joker Folie a deux 170 Kraven The Hunter 171 Archenemy 172 Son of the Mask 173 The Crow: Wicked Prayer 174 Super Capers 175 All Superheroes Must Die

 With my music episodes, I try to present to you evergreen tracks that will be with you for a while. I subscribe to a ton of record pools beyond digging through blogs, Patreon, streaming services, Shazam, and the like. I thought I would share my top 10 most interesting musical track finds with you from the month of December 2024. Bonus: I'll give you the source on where to find the tracks I talk about. Not only do I hope to save you time in finding gems but I also give you my take on how/where I use them within my sets.  My Patreon Shop is live! Grab documents and music listings a la carte. I'm on YOUTUBE! Please subscribe and share. Thanks in advance.Check out my podcast website and my premium podcast content community page.DJs: Interested in Heavy Hits Music Pool? Go to https://heavyhits.com/For my podcast listeners only, enter promo code: BRIANB - it gets you a 30 day trial for $5. Try it now.DJs: Did you know I launched a course? It's called the "Value Based DJ Course" which will help you land your ideal clients, get paid what you need and give you the flexibility to figure out how many events you want to work. Get it today at https://www.thedjscreativeedge.com/Have a topic you want covered? Drop me a DM at @thetraveldjblend. Has this podcast helped you? Share your thoughts by leaving a review on the Apple Podcast App.

We are working with Amplify on the 2025 State of AI Engineering Survey to be presented at the AIE World's Fair in SF! Join the survey to shape the future of AI Eng!We first met Snipd over a year ago, and were immediately impressed by the design, but were doubtful about the behavior of snipping as the title behavior:Podcast apps are enormously sticky - Spotify spent almost $1b in podcast acquisitions and exclusive content just to get an 8% bump in market share among normies.However, after a disappointing Overcast 2.0 rewrite with no AI features in the last 3 years, I finally bit the bullet and switched to Snipd. It's 2025, your podcast app should be able to let you search transcripts of your podcasts. Snipd is the best implementation of this so far.And yet they keep shipping:What impressed us wasn't just how this tiny team of 4 was able to bootstrap a consumer AI app against massive titans and do so well; but also how seriously they think about learning through podcasts and improving retention of knowledge over time, aka “Duolingo for podcasts”. As an educational AI podcast, that's a mission we can get behind.Full Video PodFind us on YouTube! This was the first pod we've ever shot outdoors!Show Notes* How does Shazam work?* Flutter/FlutterFlow* wav2vec paper* Perplexity Online LLM* Google Search Grounding* Comparing Snipd transcription with our Bee episode* NIPS 2017 Flo Rida* Gustav Söderström - Background AudioTimestamps* [00:00:03] Takeaways from AI Engineer NYC* [00:00:17] Weather in New York.* [00:00:26] Swyx and Snipd.* [00:01:01] Kevin's AI summit experience.* [00:01:31] Zurich and AI.* [00:03:25] SigLIP authors join OpenAI.* [00:03:39] Zurich is very costly.* [00:04:06] The Snipd origin story.* [00:05:24] Introduction to machine learning.* [00:09:28] Snipd and user knowledge extraction.* [00:13:48] App's tech stack, Flutter, Python.* [00:15:11] How speakers are identified.* [00:18:29] The concept of "backgroundable" video.* [00:29:05] Voice cloning technology.* [00:31:03] Using AI agents.* [00:34:32] Snipd's future is multi-modal AI.* [00:36:37] Snipd and existing user behaviour.* [00:42:10] The app, summary, and timestamps.* [00:55:25] The future of AI and podcasting.* [1:14:55] Voice AITranscriptswyx [00:00:03]: Hey, I'm here in New York with Kevin Ben-Smith of Snipd. Welcome.Kevin [00:00:07]: Hi. Hi. Amazing to be here.swyx [00:00:09]: Yeah. This is our first ever, I think, outdoors podcast recording.Kevin [00:00:14]: It's quite a location for the first time, I have to say.swyx [00:00:18]: I was actually unsure because, you know, it's cold. It's like, I checked the temperature. It's like kind of one degree Celsius, but it's not that bad with the sun. No, it's quite nice. Yeah. Especially with our beautiful tea. With the tea. Yeah. Perfect. We're going to talk about Snips. I'm a Snips user. I'm a Snips user. I had to basically, you know, apart from Twitter, it's like the number one use app on my phone. Nice. When I wake up in the morning, I open Snips and I, you know, see what's new. And I think in terms of time spent or usage on my phone, I think it's number one or number two. Nice. Nice. So I really had to talk about it also because I think people interested in AI want to think about like, how can we, we're an AI podcast, we have to talk about the AI podcast app. But before we get there, we just finished. We just finished the AI Engineer Summit and you came for the two days. How was it?Kevin [00:01:07]: It was quite incredible. I mean, for me, the most valuable was just being in the same room with like-minded people who are building the future and who are seeing the future. You know, especially when it comes to AI agents, it's so often I have conversations with friends who are not in the AI world. And it's like so quickly it happens that you, it sounds like you're talking in science fiction. And it's just crazy talk. It was, you know, it's so refreshing to talk with so many other people who already see these things and yeah, be inspired then by them and not always feel like, like, okay, I think I'm just crazy. And like, this will never happen. It really is happening. And for me, it was very valuable. So day two, more relevant, more relevant for you than day one. Yeah. Day two. So day two was the engineering track. Yeah. That was definitely the most valuable for me. Like also as a producer. Practitioner myself, especially there were one or two talks that had to do with voice AI and AI agents with voice. Okay. So that was quite fascinating. Also spoke with the speakers afterwards. Yeah. And yeah, they were also very open and, and, you know, this, this sharing attitudes that's, I think in general, quite prevalent in the AI community. I also learned a lot, like really practical things that I can now take away with me. Yeah.swyx [00:02:25]: I mean, on my side, I, I think I watched only like half of the talks. Cause I was running around and I think people saw me like towards the end, I was kind of collapsing. I was on the floor, like, uh, towards the end because I, I needed to get, to get a rest, but yeah, I'm excited to watch the voice AI talks myself.Kevin [00:02:43]: Yeah. Yeah. Do that. And I mean, from my side, thanks a lot for organizing this conference for bringing everyone together. Do you have anything like this in Switzerland? The short answer is no. Um, I mean, I have to say the AI community in, especially Zurich, where. Yeah. Where we're, where we're based. Yeah. It is quite good. And it's growing, uh, especially driven by ETH, the, the technical university there and all of the big companies, they have AI teams there. Google, like Google has the biggest tech hub outside of the U S in Zurich. Yeah. Facebook is doing a lot in reality labs. Uh, Apple has a secret AI team, open AI and then SwapBit just announced that they're coming to Zurich. Yeah. Um, so there's a lot happening. Yeah.swyx [00:03:23]: So, yeah, uh, I think the most recent notable move, I think the entire vision team from Google. Uh, Lucas buyer, um, and, and all the other authors of Siglip left Google to join open AI, which I thought was like, it's like a big move for a whole team to move all at once at the same time. So I've been to Zurich and it just feels expensive. Like it's a great city. Yeah. It's great university, but I don't see it as like a business hub. Is it a business hub? I guess it is. Right.Kevin [00:03:51]: Like it's kind of, well, historically it's, uh, it's a finance hub, finance hub. Yeah. I mean, there are some, some large banks there, right? Especially UBS, uh, the, the largest wealth manager in the world, but it's really becoming more of a tech hub now with all of the big, uh, tech companies there.swyx [00:04:08]: I guess. Yeah. Yeah. And, but we, and research wise, it's all ETH. Yeah. There's some other things. Yeah. Yeah. Yeah.Kevin [00:04:13]: It's all driven by ETH. And then, uh, it's sister university EPFL, which is in Lausanne. Okay. Um, which they're also doing a lot, but, uh, it's, it's, it's really ETH. Uh, and otherwise, no, I mean, it's a beautiful, really beautiful city. I can recommend. To anyone. To come, uh, visit Zurich, uh, uh, let me know, happy to show you around and of course, you know, you, you have the nature so close, you have the mountains so close, you have so, so beautiful lakes. Yeah. Um, I think that's what makes it such a livable city. Yeah.swyx [00:04:42]: Um, and the cost is not, it's not cheap, but I mean, we're in New York city right now and, uh, I don't know, I paid $8 for a coffee this morning, so, uh, the coffee is cheaper in Zurich than the New York city. Okay. Okay. Let's talk about Snipt. What is Snipt and, you know, then we'll talk about your origin story, but I just, let's, let's get a crisp, what is Snipt? Yeah.Kevin [00:05:03]: I always see two definitions of Snipt, so I'll give you one really simple, straightforward one, and then a second more nuanced, um, which I think will be valuable for the rest of our conversation. So the most simple one is just to say, look, we're an AI powered podcast app. So if you listen to podcasts, we're now providing this AI enhanced experience. But if you look at the more nuanced, uh, podcast. Uh, perspective, it's actually, we, we've have a very big focus on people who like your audience who listened to podcasts to learn something new. Like your audience, you want, they want to learn about AI, what's happening, what's, what's, what's the latest research, what's going on. And we want to provide a, a spoken audio platform where you can do that most effectively. And AI is basically the way that we can achieve that. Yeah.swyx [00:05:53]: Means to an end. Yeah, exactly. When you started. Was it always meant to be AI or is it, was it more about the social sharing?Kevin [00:05:59]: So the first version that we ever released was like three and a half years ago. Okay. Yeah. So this was before ChatGPT. Before Whisper. Yeah. Before Whisper. Yeah. So I think a lot of the features that we now have in the app, they weren't really possible yet back then. But we already from the beginning, we always had the focus on knowledge. That's the reason why, you know, we in our team, why we listen to podcasts, but we did have a bit of a different approach. Like the idea in the very beginning was, so the name is Snips and you can create these, what we call Snips, which is basically a small snippet, like a clip from a, from a podcast. And we did envision sort of like a, like a social TikTok platform where some people would listen to full episodes and they would snip certain, like the best parts of it. And they would post that in a feed and other users would consume this feed of Snips. And use that as a discovery tool or just as a means to an end. And yeah, so you would have both people who create Snips and people who listen to Snips. So our big hypothesis in the beginning was, you know, it will be easy to get people to listen to these Snips, but super difficult to actually get them to create them. So we focused a lot of, a lot of our effort on making it as seamless and easy as possible to create a Snip. Yeah.swyx [00:07:17]: It's similar to TikTok. You need CapCut for there to be videos on TikTok. Exactly.Kevin [00:07:23]: And so for, for Snips, basically whenever you hear an amazing insight, a great moment, you can just triple tap your headphones. And our AI actually then saves the moment that you just listened to and summarizes it to create a note. And this is then basically a Snip. So yeah, we built, we built all of this, launched it. And what we found out was basically the exact opposite. So we saw that people use the Snips to discover podcasts, but they really, you know, they don't. You know, really love listening to long form podcasts, but they were creating Snips like crazy. And this was, this was definitely one of these aha moments when we realized like, hey, we should be really doubling down on the knowledge of learning of, yeah, helping you learn most effectively and helping you capture the knowledge that you listen to and actually do something with it. Because this is in general, you know, we, we live in this world where there's so much content and we consume and consume and consume. And it's so easy to just at the end of the podcast. You just start listening to the next podcast. And five minutes later, you've forgotten everything. 90%, 99% of what you've actually just learned. Yeah.swyx [00:08:31]: You don't know this, but, and most people don't know this, but this is my fourth podcast. My third podcast was a personal mixtape podcast where I Snipped manually sections of podcasts that I liked and added my own commentary on top of them and published them as small episodes. Nice. So those would be maybe five to 10 minute Snips. Yeah. And then I added something that I thought was a good story or like a good insight. And then I added my own commentary and published it as a separate podcast. It's cool. Is that still live? It's still live, but it's not active, but you can go back and find it. If you're, if, if you're curious enough, you'll see it. Nice. Yeah. You have to show me later. It was so manual because basically what my process would be, I hear something interesting. I note down the timestamp and I note down the URL of the podcast. I used to use Overcast. So it would just link to the Overcast page. And then. Put in my note taking app, go home. Whenever I feel like publishing, I will take one of those things and then download the MP3, clip out the MP3 and record my intro, outro and then publish it as a, as a podcast. But now Snips, I mean, I can just kind of double click or triple tap.Kevin [00:09:39]: I mean, those are very similar stories to what we hear from our users. You know, it's, it's normal that you're doing, you're doing something else while you're listening to a podcast. Yeah. A lot of our users, they're driving, they're working out, walking their dog. So in those moments when you hear something amazing, it's difficult to just write them down or, you know, you have to take out your phone. Some people take a screenshot, write down a timestamp, and then later on you have to go back and try to find it again. Of course you can't find it anymore because there's no search. There's no command F. And, um, these, these were all of the issues that, that, that we encountered also ourselves as users. And given that our background was in AI, we realized like, wait, hey, this is. This should not be the case. Like podcast apps today, they're still, they're basically repurposed music players, but we actually look at podcasts as one of the largest sources of knowledge in the world. And once you have that different angle of looking at it together with everything that AI is now enabling, you realize like, hey, this is not the way that we, that podcast apps should be. Yeah.swyx [00:10:41]: Yeah. I agree. You mentioned something that you said your background is in AI. Well, first of all, who's the team and what do you mean your background is in AI?Kevin [00:10:48]: Those are two very different things. I'm going to ask some questions. Yeah. Um, maybe starting with, with my backstory. Yeah. My backstory actually goes back, like, let's say 12 years ago or something like that. I moved to Zurich to study at ETH and actually I studied something completely different. I studied mathematics and economics basically with this specialization for quant finance. Same. Okay. Wow. All right. So yeah. And then as you know, all of these mathematical models for, um, asset pricing, derivative pricing, quantitative trading. And for me, the thing that, that fascinates me the most was the mathematical modeling behind it. Uh, mathematics, uh, statistics, but I was never really that passionate about the finance side of things.swyx [00:11:32]: Oh really? Oh, okay. Yeah. I mean, we're different there.Kevin [00:11:36]: I mean, one just, let's say symptom that I noticed now, like, like looking back during that time. Yeah. I think I never read an academic paper about the subject in my free time. And then it was towards the end of my studies. I was already working for a big bank. One of my best friends, he comes to me and says, Hey, I just took this course. You have to, you have to do this. You have to take this lecture. Okay. And I'm like, what, what, what is it about? It's called machine learning and I'm like, what, what, what kind of stupid name is that? Uh, so you sent me the slides and like over a weekend I went through all of the slides and I just, I just knew like freaking hell. Like this is it. I'm, I'm in love. Wow. Yeah. Okay. And that was then over the course of the next, I think like 12 months, I just really got into it. Started reading all about it, like reading blog posts, starting building my own models.swyx [00:12:26]: Was this course by a famous person, famous university? Was it like the Andrew Wayne Coursera thing? No.Kevin [00:12:31]: So this was a ETH course. So a professor at ETH. Did he teach in English by the way? Yeah. Okay.swyx [00:12:37]: So these slides are somewhere available. Yeah. Definitely. I mean, now they're quite outdated. Yeah. Sure. Well, I think, you know, reflecting on the finance thing for a bit. So I, I was, used to be a trader, uh, sell side and buy side. I was options trader first and then I was more like a quantitative hedge fund analyst. We never really use machine learning. It was more like a little bit of statistical modeling, but really like you, you fit, you know, your regression.Kevin [00:13:03]: No, I mean, that's, that's what it is. And, uh, or you, you solve partial differential equations and have then numerical methods to, to, to solve these. That's, that's for you. That's your degree. And that's, that's not really what you do at work. Right. Unless, well, I don't know what you do at work. In my job. No, no, we weren't solving the partial differential. Yeah.swyx [00:13:18]: You learn all this in school and then you don't use it.Kevin [00:13:20]: I mean, we, we, well, let's put it like that. Um, in some things, yeah, I mean, I did code algorithms that would do it, but it was basically like, it was the most basic algorithms and then you just like slightly improve them a little bit. Like you just tweak them here and there. Yeah. It wasn't like starting from scratch, like, Oh, here's this new partial differential equation. How do we know?swyx [00:13:43]: Yeah. Yeah. I mean, that's, that's real life, right? Most, most of it's kind of boring or you're, you're using established things because they're established because, uh, they tackle the most important topics. Um, yeah. Portfolio management was more interesting for me. Um, and, uh, we, we were sort of the first to combine like social data with, with quantitative trading. And I think, uh, I think now it's very common, but, um, yeah. Anyway, then you, you went, you went deep on machine learning and then what? You quit your job? Yeah. Yeah. Wow.Kevin [00:14:12]: I quit my job because, uh, um, I mean, I started using it at the bank as well. Like try, like, you know, I like desperately tried to find any kind of excuse to like use it here or there, but it just was clear to me, like, no, if I want to do this, um, like I just have to like make a real cut. So I quit my job and joined an early stage, uh, tech startup in Zurich where then built up the AI team over five years. Wow. Yeah. So yeah, we built various machine learning, uh, things for, for banks from like models for, for sales teams to identify which clients like which product to sell to them and with what reasons all the way to, we did a lot, a lot with bank transactions. One of the actually most fun projects for me was we had an, an NLP model that would take the booking text of a transaction, like a credit card transaction and pretty fired. Yeah. Because it had all of these, you know, like numbers in there and abbreviations and whatnot. And sometimes you look at it like, what, what is this? And it was just, you know, it would just change it to, I don't know, CVS. Yeah.swyx [00:15:15]: Yeah. But I mean, would you have hallucinations?Kevin [00:15:17]: No, no, no. The way that everything was set up, it wasn't like, it wasn't yet fully end to end generative, uh, neural network as what you would use today. Okay.swyx [00:15:30]: Awesome. And then when did you go like full time on Snips? Yeah.Kevin [00:15:33]: So basically that was, that was afterwards. I mean, how that started was the friend of mine who got me into machine learning, uh, him and I, uh, like he also got me interested into startups. He's had a big impact on my life. And the two of us were just a jam on, on like ideas for startups every now and then. And his background was also in AI data science. And we had a couple of ideas, but given that we were working full times, we were thinking about, uh, so we participated in Hack Zurich. That's, uh, Europe's biggest hackathon, um, or at least was at the time. And we said, Hey, this is just a weekend. Let's just try out an idea, like hack something together and see how it works. And the idea was that we'd be able to search through podcast episodes, like within a podcast. Yeah. So we did that. Long story short, uh, we managed to do it like to build something that we realized, Hey, this actually works. You can, you can find things again in podcasts. We had like a natural language search and we pitched it on stage. And we actually won the hackathon, which was cool. I mean, we, we also, I think we had a good, um, like a good, good pitch or a good example. So we, we used the famous Joe Rogan episode with Elon Musk where Elon Musk smokes a joint. Okay. Um, it's like a two and a half hour episode. So we were on stage and then we just searched for like smoking weed and it would find that exact moment. It will play it. And it just like, come on with Elon Musk, just like smoking. Oh, so it was video as well? No, it was actually completely based on audio. But we did have the video for the presentation. Yeah. Which had a, had of course an amazing effect. Yeah. Like this gave us a lot of activation energy, but it wasn't actually about winning the hackathon. Yeah. But the interesting thing that happened was after we pitched on stage, several of the other participants, like a lot of them came up to us and started saying like, Hey, can I use this? Like I have this issue. And like some also came up and told us about other problems that they have, like very adjacent to this with a podcast. Where's like, like this. Like, could, could I use this for that as well? And that was basically the, the moment where I realized, Hey, it's actually not just us who are having these issues with, with podcasts and getting to the, making the most out of this knowledge. Yeah. The other people. Yeah. That was now, I guess like four years ago or something like that. And then, yeah, we decided to quit our jobs and start, start this whole snip thing. Yeah. How big is the team now? We're just four people. Yeah. Just four people. Yeah. Like four. We're all technical. Yeah. Basically two on the, the backend side. So one of my co-founders is this person who got me into machine learning and startups. And we won the hackathon together. So we have two people for the backend side with the AI and all of the other backend things. And two for the front end side, building the app.swyx [00:18:18]: Which is mostly Android and iOS. Yeah.Kevin [00:18:21]: It's iOS and Android. We also have a watch app for, for Apple, but yeah, it's mostly iOS. Yeah.swyx [00:18:27]: The watch thing, it was very funny because in the, in the Latent Space discord, you know, most of us have been slowly adopting snips. You came to me like a year ago and you introduced snip to me. I was like, I don't know. I'm, you know, I'm very sticky to overcast and then slowly we switch. Why watch?Kevin [00:18:43]: So it goes back to a lot of our users, they do something else while, while listening to a podcast, right? Yeah. And one of the, us giving them the ability to then capture this knowledge, even though they're doing something else at the same time is one of the killer features. Yeah. Maybe I can actually, maybe at some point I should maybe give a bit more of an overview of what the, all of the features that we have. Sure. So this is one of the killer features and for one big use case that people use this for is for running. Yeah. So if you're a big runner, a big jogger or cycling, like really, really cycling competitively and a lot of the people, they don't want to take their phone with them when they go running. So you load everything onto the watch. So you can download episodes. I mean, if you, if you have an Apple watch that has internet access, like with a SIM card, you can also directly stream. That's also possible. Yeah. So of course it's a, it's basically very limited to just listening and snipping. And then you can see all of your snips later on your phone. Let me tell you this error I just got.swyx [00:19:47]: Error playing episode. Substack, the host of this podcast, does not allow this podcast to be played on an Apple watch. Yeah.Kevin [00:19:52]: That's a very beautiful thing. So we found out that all of the podcasts hosted on Substack, you cannot play them on an Apple watch. Why is this restriction? What? Like, don't ask me. We try to reach out to Substack. We try to reach out to some of the bigger podcasters who are hosting the podcast on Substack to also let them know. Substack doesn't seem to care. This is not specific to our app. You can also check out the Apple podcast app. Yeah. It's the same problem. It's just that we actually have identified it. And we tell the user what's going on.swyx [00:20:25]: I would say we host our podcast on Substack, but they're not very serious about their podcasting tools. I've told them before, I've been very upfront with them. So I don't feel like I'm shitting on them in any way. And it's kind of sad because otherwise it's a perfect creative platform. But the way that they treat podcasting as an afterthought, I think it's really disappointing.Kevin [00:20:45]: Maybe given that you mentioned all these features, maybe I can give a bit of a better overview of the features that we have. Let's do that. Let's do that. So I think we're mostly in our minds. Maybe for some of the listeners.swyx [00:20:55]: I mean, I'll tell you my version. Yeah. They can correct me, right? So first of all, I think the main job is for it to be a podcast listening app. It should be basically a complete superset of what you normally get on Overcast or Apple Podcasts or anything like that. You pull your show list from ListenNotes. How do you find shows? You've got to type in anything and you find them, right?Kevin [00:21:18]: Yeah. We have a search engine that is powered by ListenNotes. Yeah. But I mean, in the meantime, we have a huge database of like 99% of all podcasts out there ourselves. Yeah.swyx [00:21:27]: What I noticed, the default experience is you do not auto-download shows. And that's one very big difference for you guys versus other apps, where like, you know, if I'm subscribed to a thing, it auto-downloads and I already have the MP3 downloaded overnight. For me, I have to actively put it onto my queue, then it auto-downloads. And actually, I initially didn't like that. I think I maybe told you that I was like, oh, it's like a feature that I don't like. Like, because it means that I have to choose to listen to it in order to download and not to... It's like opt-in. There's a difference between opt-in and opt-out. So I opt-in to every episode that I listen to. And then, like, you know, you open it and depends on whether or not you have the AI stuff enabled. But the default experience is no AI stuff enabled. You can listen to it. You can see the snips, the number of snips and where people snip during the episode, which roughly correlates to interest level. And obviously, you can snip there. I think that's the default experience. I think snipping is really cool. Like, I use it to share a lot on Discord. I think we have tons and tons of just people sharing snips and stuff. Tweeting stuff is also like a nice, pleasant experience. But like the real features come when you actually turn on the AI stuff. And so the reason I got snipped, because I got fed up with Overcast not implementing any AI features at all. Instead, they spent two years rewriting their app to be a little bit faster. And I'm like, like, it's 2025. I should have a podcast that has transcripts that I can search. Very, very basic thing. Overcast will basically never have it.Kevin [00:22:49]: Yeah, I think that was a good, like, basic overview. Maybe I can add a bit to it with the AI features that we have. So one thing that we do every time a new podcast comes out, we transcribe the episode. We do speaker diarization. We identify the speaker names. Each guest, we extract a mini bio of the guest, try to find a picture of the guest online, add it. We break the podcast down into chapters, as in AI generated chapters. That one. That one's very handy. With a quick description per title and quick description per each chapter. We identify all books that get mentioned on a podcast. You can tell I don't use that one. It depends on the podcast. There are some podcasts where the guests often recommend like an amazing book. So later on, you can you can find that again.swyx [00:23:42]: So you literally search for the word book or I just read blah, blah, blah.Kevin [00:23:46]: No, I mean, it's all LLM based. Yeah. So basically, we have we have an LLM that goes through the entire transcript and identifies if a user mentions a book, then we use perplexity API together with various other LLM orchestration to go out there on the Internet, find everything that there is to know about the book, find the cover, find who or what the author is, get a quick description of it for the author. We then check on which other episodes the author appeared on.swyx [00:24:15]: Yeah, that is killer.Kevin [00:24:17]: Because that for me, if. If there's an interesting book, the first thing I do is I actually listen to a podcast episode with a with a writer because he usually gives a really great overview already on a podcast.swyx [00:24:28]: Sometimes the podcast is with the person as a guest. Sometimes his podcast is about the person without him there. Do you pick up both?Kevin [00:24:37]: So, yes, we pick up both in like our latest models. But actually what we show you in the app, the goal is to currently only show you the guest to separate that. In the future, we want to show the other things more.swyx [00:24:47]: For what it's worth, I don't mind. Yeah, I don't think like if I like if I like somebody, I'll just learn about them regardless of whether they're there or not.Kevin [00:24:55]: Yeah, I mean, yes and no. We we we have seen there are some personalities where this can break down. So, for example, the first version that we released with this feature, it picked up much more often a person, even if it was not a guest. Yeah. For example, the best examples for me is Sam Altman and Elon Musk. Like they're just mentioned on every second podcast and it has like they're not on there. And if you're interested in it, you can go to Elon Musk. And actually like learning from them. Yeah, I see. And yeah, we updated our our algorithms, improved that a lot. And now it's gotten much better to only pick it up if they're a guest. And yeah, so this this is maybe to come back to the features, two more important features like we have the ability to chat with an episode. Yes. Of course, you can do the old style of searching through a transcript with a keyword search. But I think for me, this is this is how you used to do search and extracting knowledge in the in the past. Old school. And the A.I. Web. Way is is basically an LLM. So you can ask the LLM, hey, when do they talk about topic X? If you're interested in only a certain part of the episode, you can ask them for four to give a quick overview of the episode. Key takeaways afterwards also to create a note for you. So this is really like very open, open ended. And yeah. And then finally, the snipping feature that we mentioned just to reiterate. Yeah. I mean, here the the feature is that whenever you hear an amazing idea, you can trip. It's up your headphones or click a button in the app and the A.I. summarizes the insight you just heard and saves that together with the original transcript and audio in your knowledge library. I also noticed that you you skip dynamic content. So dynamic content, we do not skip it automatically. Oh, sorry. You detect. But we detect it. Yeah. I mean, that's one of the thing that most people don't don't actually know that like the way that ads get inserted into podcasts or into most podcasts is actually that every time you listen. To a podcast, you actually get access to a different audio file and on the server, a different ad is inserted into the MP3 file automatically. Yeah. Based on IP. Exactly. And that's what that means is if we transcribe an episode and have a transcript with timestamps like words, word specific timestamps, if you suddenly get a different audio file, like the whole time says I messed up and that's like a huge issue. And for that, we actually had to build another algorithm that would dynamically on the floor. I re sync the audio that you're listening to the transcript that we have. Yeah. Which is a fascinating problem in and of itself.swyx [00:27:24]: You sync by matching up the sound waves? Or like, or do you sync by matching up words like you basically do partial transcription?Kevin [00:27:33]: We are not matching up words. It's happening on the basically a bytes level matching. Yeah. Okay.swyx [00:27:40]: It relies on this. It relies on the exact match at some point.Kevin [00:27:46]: So it's actually. We're actually not doing exact matches, but we're doing fuzzy matches to identify the moment. It's basically, we basically built Shazam for podcasts. Just as a little side project to solve this issue.swyx [00:28:02]: Actually, fun fact, apparently the Shazam algorithm is open. They published the paper, it's talked about it. I haven't really dived into the paper. I thought it was kind of interesting that basically no one else has built Shazam.Kevin [00:28:16]: Yeah, I mean, well, the one thing is the algorithm. If you now talk about Shazam, the other thing is also having the database behind it and having the user mindset that if they have this problem, they come to you, right?swyx [00:28:29]: Yeah, I'm very interested in the tech stack. There's a big data pipeline. Could you share what is the tech stack?Kevin [00:28:35]: What are the most interesting or challenging pieces of it? So the general tech stack is our entire backend is, or 90% of our backend is written in Python. Okay. Hosting everything on Google Cloud Platform. And our front end is written with, well, we're using the Flutter framework. So it's written in Dart and then compiled natively. So we have one code base that handles both Android and iOS. You think that was a good decision? It's something that a lot of people are exploring. So up until now, yes. Okay. Look, it has its pros and cons. Some of the, you know, for example, earlier, I mentioned we have a Apple Watch app. Yeah. I mean, there's no Flutter for that, right? So that you build native. And then of course you have to sort of like sync these things together. I mean, I'm not the front end engineer, so I'm not just relaying this information, but our front end engineers are very happy with it. It's enabled us to be quite fast and be on both platforms from the very beginning. And when I talk with people and they hear that we are using Flutter, usually they think like, ah, it's not performant. It's super junk, janky and everything. And then they use it. They use our app and they're always super surprised. Or if they've already used our app, I couldn't tell them. They're like, what? Yeah. Um, so there is actually a lot that you can do with it.swyx [00:29:51]: The danger, the concern, there's a few concerns, right? One, it's Google. So when were they, when are they going to abandon it? Two, you know, they're optimized for Android first. So iOS is like a second, second thought, or like you can feel that it is not a native iOS app. Uh, but you guys put a lot of care into it. And then maybe three, from my point of view, JavaScript, as a JavaScript guy, React Native was supposed to be there. And I think that it hasn't really fulfilled that dream. Um, maybe Expo is trying to do that, but, um, again, it is not, does not feel as productive as Flutter. And I've, I spent a week on Flutter and dot, and I'm an investor in Flutter flow, which is the local, uh, Flutter, Flutter startup. That's doing very, very well. I think a lot of people are still Flutter skeptics. Yeah. Wait. So are you moving away from Flutter?Kevin [00:30:41]: I don't know. We don't have plans to do that. Yeah.swyx [00:30:43]: You're just saying about that. What? Yeah. Watch out. Okay. Let's go back to the stack.Kevin [00:30:47]: You know, that was just to give you a bit of an overview. I think the more interesting things are, of course, on the AI side. So we, like, as I mentioned earlier, when we started out, it was before chat GPT for the chat GPT moment before there was the GPT 3.5 turbo, uh, API. So in the beginning, we actually were running everything ourselves, open source models, try to fine tune them. They worked. There was us, but let's, let's be honest. They weren't. What was the sort of? Before Whisper, the transcription. Yeah, we were using wave to work like, um, there was a Google one, right? No, it was a Facebook, Facebook one. That was actually one of the papers. Like when that came out for me, that was one of the reasons why I said we, we should try something to start a startup in the audio space. For me, it was a bit like before that I had been following the NLP space, uh, quite closely. And as, as I mentioned earlier, we, we did some stuff at the startup as well, that I was working up. But before, and wave to work was the first paper that I had at least seen where the whole transformer architecture moved over to audio and bit more general way of saying it is like, it was the first time that I saw the transformer architecture being applied to continuous data instead of discrete tokens. Okay. And it worked amazingly. Ah, and like the transformer architecture plus self-supervised learning, like these two things moved over. And then for me, it was like, Hey, this is now going to take off similarly. It's the text space has taken off. And with these two things in place, even if some features that we want to build are not possible yet, they will be possible in the near term, uh, with this, uh, trajectory. So that was a little side, side note. No, it's in the meantime. Yeah. We're using whisper. We're still hosting some of the models ourselves. So for example, the whole transcription speaker diarization pipeline, uh,swyx [00:32:38]: You need it to be as cheap as possible.Kevin [00:32:40]: Yeah, exactly. I mean, we're doing this at scale where we have a lot of audio.swyx [00:32:44]: We're what numbers can you disclose? Like what, what are just to give people an idea because it's a lot. So we have more than a million podcasts that we've already processed when you say a million. So processing is basically, you have some kind of list of podcasts that you will auto process and others where a paying pay member can choose to press the button and transcribe it. Right. Is that the rough idea? Yeah, exactly.Kevin [00:33:08]: Yeah. And if, when you press that button or we also transcribe it. Yeah. So first we do the, we do the transcription. We do the. The, the speaker diarization. So basically you identify speech blocks that belong to the same speaker. This is then all orchestrated within, within LLM to identify which speech speech block belongs to which speaker together with, you know, we identify, as I mentioned earlier, we identify the guest name and the bio. So all of that comes together with an LLM to actually then assign assigned speaker names to, to each block. Yeah. And then most of the rest of the, the pipeline we've now used, we've now migrated to LLM. So we use mainly open AI, Google models, so the Gemini models and the open AI models, and we use some perplexity basically for those things where we need, where we need web search. Yeah. That's something I'm still hoping, especially open AI will also provide us an API. Oh, why? Well, basically for us as a consumer, the more providers there are.swyx [00:34:07]: The more downtime.Kevin [00:34:08]: The more competition and it will lead to better, better results. And, um, lower costs over time. I don't, I don't see perplexity as expensive. If you use the web search, the price is like $5 per a thousand queries. Okay. Which is affordable. But, uh, if you compare that to just a normal LLM call, um, it's, it's, uh, much more expensive. Have you tried Exa? We've, uh, looked into it, but we haven't really tried it. Um, I mean, we, we started with perplexity and, uh, it works, it works well. And if I remember. Correctly, Exa is also a bit more expensive.swyx [00:34:45]: I don't know. I don't know. They seem to focus on the search thing as a search API, whereas perplexity, maybe more consumer-y business that is higher, higher margin. Like I'll put it like perplexity is trying to be a product, Exa is trying to be infrastructure. Yeah. So that, that'll be my distinction there. And then the other thing I will mention is Google has a search grounding feature. Yeah. Which you, which you might want. Yeah.Kevin [00:35:07]: Yeah. We've, uh, we've also tried that out. Um, not as good. So we, we didn't, we didn't go into. Too much detail in like really comparing it, like quality wise, because we actually already had the perplexity one and it, and it's, and it's working. Yeah. Um, I think also there, the price is actually higher than perplexity. Yeah. Really? Yeah.swyx [00:35:26]: Google should cut their prices.Kevin [00:35:29]: Maybe it was the same price. I don't want to say something incorrect, but it wasn't cheaper. It wasn't like compelling. And then, then there was no reason to switch. So, I mean, maybe like in general, like for us, given that we do work with a lot of content, price is actually something that we do look at. Like for us, it's not just about taking the best model for every task, but it's really getting the best, like identifying what kind of intelligence level you need and then getting the best price for that to be able to really scale this and, and provide us, um, yeah, let our users use these features with as many podcasts as possible. Yeah.swyx [00:36:03]: I wanted to double, double click on diarization. Yeah. Uh, it's something that I don't think people do very well. So you know, I'm, I'm a, I'm a B user. I don't have it right now. And, and they were supposed to speak, but they dropped out last minute. Um, but, uh, we've had them on the podcast before and it's not great yet. Do you use just PI Anode, the default stuff, or do you find any tricks for diarization?Kevin [00:36:27]: So we do use the, the open source packages, but we have tweaked it a bit here and there. For example, if you mentioned the BAI guys, I actually listened to the podcast episode was super nice. Thank you. And when you started talking about speaker diarization, and I just have to think about, uh, I don't know.Kevin [00:36:49]: Is it possible? I don't know. I don't know. F**k this. Yeah, no, I don't know.Kevin [00:36:55]: Yeah. We are the best. This is a.swyx [00:37:07]: I don't know. This is the best. I don't know. This is the best. Yeah. Yeah. Yeah. You're doing good.Kevin [00:37:12]: So, so yeah. This is great. This is good. Yeah. No, so that of course helps us. Another thing that helps us is that we know certain structural aspects of the podcast. For example, how often does someone speak? Like if someone, like let's say there's a one hour episode and someone speaks for 30 seconds, that person is most probably not the guest and not the host. It's probably some ad, like some speaker from an ad. So we have like certain of these heuristics that we can use and we leverage to improve things. And in the past, we've also changed the clustering algorithm. So basically how a lot of the speaker diarization works is you basically create an embedding for the speech that's happening. And then you try to somehow cluster these embeddings and then find out this is all one speaker. This is all another speaker. And there we've also tweaked a couple of things where we again used heuristics that we could apply from knowing how podcasts function. And that's also actually why I was feeling so much with the BAI guys, because like all of these heuristics, like for them, it's probably almost impossible to use any heuristics because it can just be any situation, anything.Kevin [00:38:34]: So that's one thing that we do. Yeah, another thing is that we actually combine it with LLM. So the transcript, LLMs and the speaker diarization, like bringing all of these together to recalibrate some of the switching points. Like when does the speaker stop? When does the next one start?swyx [00:38:51]: The LLMs can add errors as well. You know, I wouldn't feel safe using them to be so precise.Kevin [00:38:58]: I mean, at the end of the day, like also just to not give a wrong impression, like the speaker diarization is also not perfect that we're doing, right? I basically don't really notice it.swyx [00:39:08]: Like I use it for search.Kevin [00:39:09]: Yeah, it's not perfect yet, but it's gotten quite good. Like, especially if you compare, if you look at some of the, like if you take a latest episode and you compare it to an episode that came out a year ago, we've improved it quite a bit.swyx [00:39:23]: Well, it's beautifully presented. Oh, I love that I can click on the transcript and it goes to the timestamp. So simple, but you know, it should exist. Yeah, I agree. I agree. So this, I'm loading a two hour episode of Detect Me Right Home, where there's a lot of different guests calling in and you've identified the guest name. And yeah, so these are all LLM based. Yeah, it's really nice.Kevin [00:39:49]: Yeah, like the speaker names.swyx [00:39:50]: I would say that, you know, obviously I'm a power user of all these tools. You have done a better job than Descript. Okay, wow. Descript is so much funding. They had their open AI invested in them and they still suck. So I don't know, like, you know, keep going. You're doing great. Yeah, thanks. Thanks.Kevin [00:40:12]: I mean, I would, I would say that, especially for anyone listening who's interested in building a consumer app with AI, I think the, like, especially if your background is in AI and you love working with AI and doing all of that, I think the most important thing is just to keep reminding yourself of what's actually the job to be done here. Like, what does actually the consumer want? Like, for example, you now were just delighted by the ability to click on this word and it jumps there. Yeah. Like, this is not, this is not rocket science. This is, like, you don't have to be, like, I don't know, Android Kapathi to come up with that and build that, right? And I think that's, that's something that's super important to keep in mind.swyx [00:40:52]: Yeah, yeah. Amazing. I mean, there's so many features, right? It's, it's so packed. There's quotes that you pick up. There's summarization. Oh, by the way, I'm going to use this as my official feature request. I want to customize what, how it's summarized. I want to, I want to have a custom prompt. Yeah. Because your summarization is good, but, you know, I have different preferences, right? Like, you know.Kevin [00:41:14]: So one thing that you can already do today, I completely get your feature request. And I think it just.swyx [00:41:18]: I'm sure people have asked it.Kevin [00:41:19]: I mean, maybe just in general as a, as a, how I see the future, you know, like in the future, I think all, everything will be personalized. Yeah, yeah. Like, not, this is not specific to us. Yeah. And today we're still in a, in a phase where the cost of LLMs, at least if you're working with, like, such long context windows. As us, I mean, there's a lot of tokens in, if you take an entire podcast, so you still have to take that cost into consideration. So if for every single user, we regenerate it entirely, it gets expensive. But in the future, this, you know, cost will continue to go down and then it will just be personalized. So that being said, you can already today, if you go to the player screen. Okay. And open up the chat. Yeah. You can go to the, to the chat. Yes. And just ask for a summary in your style.swyx [00:42:13]: Yeah. Okay. I mean, I, I listen to consume, you know? Yeah. Yeah. I, I've never really used this feature. I don't know. I think that's, that's me being a slow adopter. No, no. I mean, that's. It has, when does the conversation start? Okay.Kevin [00:42:26]: I mean, you can just type anything. I think what you're, what you're describing, I mean, maybe that is also an interesting topic to talk about. Yes. Where, like, basically I told you, like, look, we have this chat. You can just ask for it. Yeah. And this is, this is how ChatGPT works today. But if you're building a consumer app, you have to move beyond the chat box. People do not want to always type out what they want. So your feature request was, even though theoretically it's already possible, what you are actually asking for is, hey, I just want to open up the app and it should just be there in a nicely formatted way. Beautiful way such that I can read it or consume it without any issues. Interesting. And I think that's in general where a lot of the, the. Opportunities lie currently in the market. If you want to build a consumer app, taking the capability and the intelligence, but finding out what the actual user interface is the best way how a user can engage with this intelligence in a natural way.swyx [00:43:24]: Is this something I've been thinking about as kind of like AI that's not in your face? Because right now, you know, we like to say like, oh, use Notion has Notion AI. And we have the little thing there. And there's, or like some other. Any other platform has like the sparkle magic wand emoji, like that's our AI feature. Use this. And it's like really in your face. A lot of people don't like it. You know, it should just kind of become invisible, kind of like an invisible AI.Kevin [00:43:49]: 100%. I mean, the, the way I see it as AI is, is the electricity of, of the future. And like no one, like, like we don't talk about, I don't know, this, this microphone uses electricity, this phone, you don't think about it that way. It's just in there, right? It's not an electricity enabled product. No, it's just a product. Yeah. It will be the same with AI. I mean, now. It's still a, something that you use to market your product. I mean, we do, we do the same, right? Because it's still something that people realize, ah, they're doing something new, but at some point, no, it'll just be a podcast app and it will be normal that it has all of this AI in there.swyx [00:44:24]: I noticed you do something interesting in your chat where you source the timestamps. Yeah. Is that part of this prompt? Is there a separate pipeline that adds source sources?Kevin [00:44:33]: This is, uh, actually part of the prompt. Um, so this is all prompt engine. Engineering, um, uh, you should be able to click on it. Yeah, I clicked on it. Um, this is all prompt engineering with how to provide the, the context, you know, we, because we provide all of the transcript, how to provide the context and then, yeah, I get them all to respond in a correct way with a certain format and then rendering that on the front end. This is one of the examples where I would say it's so easy to create like a quick demo of this. I mean, you can just go to chat to be deep, paste this thing in and say like, yeah, do this. Okay. Like 15 minutes and you're done. Yeah. But getting this to like then production level that it actually works 99% of the time. Okay. This is then where, where the difference lies. Yeah. So, um, for this specific feature, like we actually also have like countless regexes that they're just there to correct certain things that the LLM is doing because it doesn't always adhere to the format correctly. And then it looks super ugly on the front end. So yeah, we have certain regexes that correct that. And maybe you'd ask like, why don't you use an LLM for that? Because that's sort of the, again, the AI native way, like who uses regexes anymore. But with the chat for user experience, it's very important that you have the streaming because otherwise you need to wait so long until your message has arrived. So we're streaming live the, like, just like ChatGPT, right? You get the answer and it's streaming the text. So if you're streaming the text and something is like incorrect. It's currently not easy to just like pipe, like stream this into another stream, stream this into another stream and get the stream back, which corrects it, that would be amazing. I don't know, maybe you can answer that. Do you know of any?swyx [00:46:19]: There's no API that does this. Yeah. Like you cannot stream in. If you own the models, you can, uh, you know, whatever token sequence has, has been emitted, start loading that into the next one. If you fully own the models, uh, I don't, it's probably not worth it. That's what you do. It's better. Yeah. I think. Yeah. Most engineers who are new to AI research and benchmarking actually don't know how much regexing there is that goes on in normal benchmarks. It's just like this ugly list of like a hundred different, you know, matches for some criteria that you're looking for. No, it's very cool. I think it's, it's, it's an example of like real world engineering. Yeah. Do you have a tooling that you're proud of that you've developed for yourself?Kevin [00:47:02]: Is it just a test script or is it, you know? I think it's a bit more, I guess the term that has come up is, uh, vibe coding, uh, vibe coding, some, no, sorry, that's actually something else in this case, but, uh, no, no, yes, um, vibe evals was a term that in one of the talks actually on, on, um, I think it might've been the first, the first or the first day at the conference, someone brought that up. Yeah. Uh, because yeah, a lot of the talks were about evals, right. Which is so important. And yeah, I think for us, it's a bit more vibe. Evals, you know, that's also part of, you know, being a startup, we can take risks, like we can take the cost of maybe sometimes it failing a little bit or being a little bit off and our users know that and they appreciate that in return, like we're moving fast and iterating and building, building amazing things, but you know, a Spotify or something like that, half of our features will probably be in a six month review through legal or I don't know what, uh, before they could sell them out.swyx [00:48:04]: Let's just say Spotify is not very good at podcasting. Um, I have a documented, uh, dislike for, for their podcast features, just overall, really, really well integrated any other like sort of LLM focused engineering challenges or problems that you, that you want to highlight.Kevin [00:48:20]: I think it's not unique to us, but it goes again in the direction of handling the uncertainty of LLMs. So for example, with last year, at the end of the year, we did sort of a snipped wrapped. And one of the things we thought it would be fun to, just to do something with, uh, with an LLM and something with the snips that, that a user has. And, uh, three, let's say unique LLM features were that we assigned a personality to you based on the, the snips that, that you have. It was, I mean, it was just all, I guess, a bit of a fun, playful way. I'm going to look up mine. I forgot mine already.swyx [00:48:57]: Um, yeah, I don't know whether it's actually still in the, in the, we all took screenshots of it.Kevin [00:49:01]: Ah, we posted it in the, in the discord. And the, the second one, it was, uh, we had a learning scorecard where we identified the topics that you snipped on the most, and you got like a little score for that. And the third one was a, a quote that stood out. And the quote is actually a very good example of where we would run that for user. And most of the time it was an interesting quote, but every now and then it was like a super boring quotes that you think like, like how, like, why did you select that? Like, come on for there. The solution was actually just to say, Hey, give me five. So it extracted five quotes as a candidate, and then we piped it into a different model as a judge, LLM as a judge, and there we use a, um, a much better model because with the, the initial model, again, as, as I mentioned also earlier, we do have to look at the, like the, the costs because it's like, we have so much text that goes into it. So we, there we use a bit more cheaper model, but then the judge can be like a really good model to then just choose one out of five. This is a practical example.swyx [00:50:03]: I can't find it. Bad search in discord. Yeah. Um, so, so you do recommend having a much smarter model as a judge, uh, and that works for you. Yeah. Yeah. Interesting. I think this year I'm very interested in LM as a judge being more developed as a concept, I think for things like, you know, snips, raps, like it's, it's fine. Like, you know, it's, it's, it's, it's entertaining. There's no right answer.Kevin [00:50:29]: I mean, we also have it. Um, we also use the same concept for our books feature where we identify the, the mention. Books. Yeah. Because there it's the same thing, like 90% of the time it, it works perfectly out of the box one shot and every now and then it just, uh, starts identifying books that were not really mentioned or that are not books or made, yeah, starting to make up books. And, uh, they are basically, we have the same thing of like another LLM challenging it. Um, yeah. And actually with the speakers, we do the same now that I think about it. Yeah. Um, so I'm, I think it's a, it's a great technique. Interesting.swyx [00:51:05]: You run a lot of calls.Kevin [00:51:07]: Yeah.swyx [00:51:08]: Okay. You know, you mentioned costs. You move from self hosting a lot of models to the, to the, you know, big lab models, open AI, uh, and Google, uh, non-topic.Kevin [00:51:18]: Um, no, we love Claude. Like in my opinion, Claude is the, the best one when it comes to the way it formulates things. The personality. Yeah. The personality. Okay. I actually really love it. But yeah, the cost is. It's still high.swyx [00:51:36]: So you cannot, you tried Haiku, but you're, you're like, you have to have Sonnet.Kevin [00:51:40]: Uh, like basically we like with Haiku, we haven't experimented too much. We obviously work a lot with 3.5 Sonnet. Uh, also, you know, coding. Yeah. For coding, like in cursor, just in general, also brainstorming. We use it a lot. Um, I think it's a great brainstorm partner, but yeah, with, uh, with, with a lot of things that we've done done, we opted for different models.swyx [00:52:00]: What I'm trying to drive at is how much cheaper can you get if you go from cloud to cloud? Closed models to open models. And maybe it's like 0% cheaper, maybe it's 5% cheaper, or maybe it's like 50% cheaper. Do you have a sense?Kevin [00:52:13]: It's very difficult to, to judge that. I don't really have a sense, but I can, I can give you a couple of thoughts that have gone through our minds over the time, because obviously we do realize like, given that we, we have a couple of tasks where there are just so many tokens going in, um, at some point it will make sense to, to offload some of that. Uh, to an open source model, but going back to like, we're, we're a startup, right? Like we're not an AI lab or whatever, like for us, actually the most important thing is to iterate fast because we need to learn from our users, improve that. And yeah, just this velocity of this, these iterations. And for that, the closed models hosted by open AI, Google is, uh, and swapping, they're just unbeatable because you just, it's just an API call. Yeah. Um, so you don't need to worry about. Yeah. So much complexity behind that. So this is, I would say the biggest reason why we're not doing more in this space, but there are other thoughts, uh, also for the future. Like I see two different, like we basically have two different usage patterns of LLMs where one is this, this pre-processing of a podcast episode, like this initial processing, like the transcription, speaker diarization, chapterization. We do that once. And this, this usage pattern it's, it's quite predictable. Because we know how many podcasts get released when, um, so we can sort of have a certain capacity and we can, we, we're running that 24 seven, it's one big queue running 24 seven.swyx [00:53:44]: What's the queue job runner? Uh, is it a Django, just like the Python one?Kevin [00:53:49]: No, that, that's just our own, like our database and the backend talking to the database, picking up jobs, finding it back. I'm just curious in orchestration and queues. I mean, we, we of course have like, uh, a lot of other orchestration where we're, we're, where we use, uh, the Google pub sub, uh, thing, but okay. So we have this, this, this usage pattern of like very predictable, uh, usage, and we can max out the, the usage. And then there's this other pattern where it's, for example, the snippet where it's like a user, it's a user action that triggers an LLM call and it has to be real time. And there can be moments where it's by usage and there can be moments when there's very little usage for that. There. So that's, that's basically where these LLM API calls are just perfect because you don't need to worry about scaling this up, scaling this down, um, handling, handling these issues. Serverless versus serverful.swyx [00:54:44]: Yeah, exactly. Okay.Kevin [00:54:45]: Like I see them a bit, like I see open AI and all of these other providers, I see them a bit as the, like as the Amazon, sorry, AWS of, of AI. So it's a bit similar how like back before AWS, you would have to have your, your servers and buy new servers or get rid of servers. And then with AWS, it just became so much easier to just ramp stuff up and down. Yeah. And this is like the taking it even, even, uh, to the next level for AI. Yeah.swyx [00:55:18]: I am a big believer in this. Basically it's, you know, intelligence on demand. Yeah. We're probably not using it enough in our daily lives to do things. I should, we should be able to spin up a hundred things at once and go through things and then, you know, stop. And I feel like we're still trying to figure out how to use LLMs in our lives effectively. Yeah. Yeah.Kevin [00:55:38]: 100%. I think that goes back to the whole, like that, that's for me where the big opportunity is for, if you want to do a startup, um, it's not about, but you can let the big labs handleswyx [00:55:48]: the challenge of more intelligence, but, um, it's the... Existing intelligence. How do you integrate? How do you actually incorporate it into your life? AI engineering. Okay, cool. Cool. Cool. Cool. Um, the one, one other thing I wanted to touch on was multimodality in frontier models. Dwarcash had a interesting application of Gemini recently where he just fed raw audio in and got diarized transcription out or timestamps out. And I think that will come. So basically what we're saying here is another wave of transformers eating things because right now models are pretty much single modality things. You know, you have whisper, you have a pipeline and everything. Yeah. You can't just say, Oh, no, no, no, we only fit like the raw, the raw files. Do you think that will be realistic for you? I 100% agree. Okay.Kevin [00:56:38]: Basically everything that we talked about earlier with like the speaker diarization and heuristics and everything, I completely agree. Like in the, in the future that would just be put everything into a big multimodal LLM. Okay. And it will output, uh, everything that you want. Yeah. So I've also experimented with that. Like just... With, with Gemini 2? With Gemini 2.0 Flash. Yeah. Just for fun. Yeah. Yeah. Because the big difference right now is still like the cost difference of doing speaker diarization this way or doing transcription this way is a huge difference to the pipeline that we've built up. Huh. Okay.swyx [00:57:15]: I need to figure out what, what that cost is because in my mind 2.0 Flash is so cheap. Yeah. But maybe not cheap enough for you.Kevin [00:57:23]: Uh, no, I mean, if you compare it to, yeah, whisper and speaker diarization and especially self-hosting it and... Yeah. Yeah. Yeah.swyx [00:57:30]: Yeah.Kevin [00:57:30]: Okay. But we will get there, right? Like this is just a question of time.swyx [00:57:33]: And, um, at some point, as soon as that happens, we'll be the first ones to switch. Yeah. Awesome. Anything else that you're like sort of eyeing on the horizon as like, we are thinking about this feature, we're thinking about incorporating this new functionality of AI into our, into our app? Yeah.Kevin [00:57:50]: I mean, we, there's so many areas that we're thinking about, like our challenge is a bit more... Choosing. Yeah. Choosing. Yeah. So, I mean, I think for me, like looking into like the next couple of years, like the big areas that interest us a lot, basically four areas, like one is content. Um, right now it's, it's podcasts. I mean, you did mention, I think you mentioned like you can also upload audio books and YouTube videos. YouTube. I actually use the YouTube one a fair amount. But in the future, we, we want to also have audio books natively in the app. And, uh, we want to enable AI generated content. Like just think of, take deep research and notebook analysis. Like put these together. That should be, that should be in our app. The second area is discovery. I think in general. Yeah.swyx [00:58:38]: I noticed that you don't have, so you

Aqui estão as perguntas que responderemos hoje. Se você quiser fazer uma pergunta, deixe nos comentários abaixo. Nos próximos vídeos a gente responde. @Ricardocarneiroart: O ideal é buscar uma narrativa ou deixar a narrativa surgir naturalmente? @marciliojoose É possível seguir carreira na arte vivendo no interior? @jesualdo_jm Você acha que arte digital poderá ter o mesmo nível de relevância que a tradicional? @joaz-vilas_boas Indicações de cursos para entrar no mercado de arte. @anny.schafer Dúvida entre o mercado decorativo e o mercado de arte. Um anula o outro? Um artista fazer encomenda é considerado "mal visto"para a sua reputação? @Shazam.art Qual é o fator determinante para alguém comprar uma obra de arte? Imaginemos que não temos mais internet. Como nossa arte pode chegar aos compradores de arte? ⤵ ️ Deixe o seu comentário abaixo dizendo o que você achou deste vídeo!

Get ready to explore the stories behind some of the most iconic and innovative apps that have shaped the mobile landscape!We're here with App Masters Greatest Hits—a 10-episode series where we'll journey back in time to uncover the successes, challenges, and game-changing moments that made these apps truly distinguished.In this episode, Chris Barton, co-founder of Shazam shared about the early days on his entreprenueur journey and about idea generation for Shazam.You will discover: ✔️ Jouney on becoming entreprenueur ✔️ Best tools for App Growth ✔️ The early era of technology & the futureBook a consultation call: https://calendly.com/appmasters-alok/30min Work with us to grow your apps faster & cheaper: http://www.appmasters.com/Get training, coaching, and community: ⁠https://appmastersacademy.com/*********************************************Follow us:YouTube: ⁠AppMasters.com/YouTube⁠Instagram: ⁠@App MastersTwitter: ⁠@App MastersTikTok: ⁠@stevepyoung⁠Facebook: ⁠App Masters⁠*********************************************

Send us a textIn this taxing episode of Sorry We Tried, we're returning to our years-long quest of watching EVERY SINGLE DCU movie before this year's Superman reboot! Previously, we watched Aquaman and Shazam... but now, it's time for the moment we've been procrastinating since last June. In February 2020, DC released a Harley Quinn solo movie... or did they? Yes, friends, it's time to review Birds of Prey and the Fantabulous Emancipation of One Harley Quinn. No, I didn't edit that title at all. Please, help us. We have to watch Wonder Woman 1984 next. This was a bad idea. Also in this episode, Robby starts off hot. Harrison has his flu game. Spencer talks about the "Penguins of Madagascar" paradox. And the guys regret quickly come to regret many of their life decisions.Website: sorrywetried.comMerch: bit.ly/swtmerchInstagram: @swtpodcastTwitter: @sorrywetriedEmail: thepodcastmen@gmail.comSupport the show

Today his 'official' (sort of) name is Shazam, but during the 1940s Captain Marvel was a superhero on the same popularity level as Superman! He even had a serialized adventure series in the 1940s, the earliest of the superheroes! While Captain Marvel in this series differed in many respects from his comic book counterpart, it was still quite a good series!

Welcome to Comics From The Multiverse, our DC comics podcast! Discussed this week: 0:00:00 - Intro 0:20:12 - ComiXology Top 10 0:34:57 - Batgirl #5 (Tate Brombal and Takeshi Miyazawa) 0:52:51 - Birds of Prey #19 (LGY #217) (Kelly Thompson and Jaunn Cabal) 1:13:34 - JSA #5 (Jeff Lemire and Diego Olortegui) 1:32:26 - Shazam #21 (Josie Campbell and Dan McDaid) 1:43:34 - Poison Ivy #31 (G WIllow Wilson and Brian Level) 1:52:30 - Two Face #4 (Christian Ward and Fabio Veras) 2:04:32 - Batman: Full Moon #4 (Rodney Barnes and Stevan Subić) 2:14:18 - The Nice House by the Sea #6 (James Tynion IV and Álvaro Martínez Bueno) 2:31:30 - Best art, cover and books of the week. patreon: https://www.patreon.com/mildfuzztv twitter: @DCComicsPodcast discord: https://discord.gg/8fbyCehMTy Audio: https://comicsfromthemultiverse.podbean.com/ Other Links: https://linktr.ee/mildfuzz

For some time now I've wanted to do a Women In Comics Feature on the podcast and it has finally arrived to celebrate Women's History Month. What better guest could I have on to hang out with me to kick things off than comics and television writer Josie Campbell. Josie has penned some of the most iconic cartoon characters ever: My Adventures With Superman, She-Ra Princesses Of Power, New Looney Toons, and now she's taking over the comics medium with the comics adaptation of My Adventures With Superman and Shazam with DC Comics and the GLAAD nominated series I Heart Skullcrusher from Boom Studios. This is a wide ranging chat touching on all three of those projects as well as taking the temperature of where the medium is at in terms of representing women, our shared crush on Lori Terry playing Tank Girl, her love of Superman, why duality and hope are so intrinsic to her writing style, and sharing a laugh or two at some of our childhood influences. You can find her online on most social media platform @cozyjamble or visit her website at https://cozyjamble.com. My Adventures With Superman From the publisher Flying from the screen to the page, it's Superman! The hit Adult Swim animated series gets an all-new comic book adventure—bridging the gap between seasons one and two, and told by the head writer of the show! In 2023, My Adventures with Superman debuted on Adult Swim, dazzling viewers with a fresh, anime-inspired take on the Superman mythos—while retaining the enduring qualities of the Man of Steel, and his friends and enemies! Picking up from the explosive end of season one, Clark's about to spend Christmas alone in Metropolis. Though he's feeling a bit down and out, a tip about a monster in the sewers sends Superman, Lois, and Jimmy into action! But what is this monster that can absorb anything it touches, and why is it here in Metropolis? And when a mysterious android is captured by a covert military group, Superman realizes he can't just bust through a government facility and take what he wants—this is a job for mild-mannered journalist Clark Kent! Written by the head writer of My Adventures with Superman, Josie Campbell, and drawn by Pablo M. Collar, this collection brings the hit show to comics for the first time! This volume collects My Adventures with Superman #1-6. PATREON We have a new Patreon, CryptidCreatorCornerpod. If you like what we do, please consider supporting us. We got two simple tiers, $1 and $3. I'll be uploading a story every Sunday about some of the crazy things I've gotten into over the years. The first one dropped last week about me relocating a drug lord's sharks. Yes, it did happen, and the alligators didn't even get in the way. Want to know more, you know what to do. Arkenforge Play TTRPG games? Make sure to check out our partner Arkenforge. They have everything you need to make your TTRPG more fun and immersive, allowing you to build, play, and export animated maps including in person fog of war capability that let's your players interact with maps as the adventure unfolds while you, the DM get the full picture. Use the discount code YETI5 to get $5 off your order. The Lantern Catalog Created on the premise of creating light in the dark, this is the the go to resource to keep you up to date on the indy projects and the creators you love. You can find them at https://www.thelanterncatalog.com/. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jace and Rocky talk about the DC Comics titles for the week of March 5, 2025. We have an excellent issue of The Atom Project showcasing Captain Atom's heroism. Batman: Full Moon and Brids fo Prey ahve their est issues to date with BoP leaning into some excellent chracterizations for our heroines. Two-Face and JSA continue to ramp up the tensions in their respective storylines and we also get plenty of tension between Jay Nakamura and Dreamer in the debut of Secret Six. Shazam ends it's run focusing on family, while Poison Ivy discovers that families searching for a better life in Marshview may have had their dreams turn to nightmares. Finally Batgirl and Nice House By The Sea both showcase masterful chracterization for evolving characters leading to truly compelling stories. Join us to hear about all the DC titles this week!

Alex Grand & Filippo Marzo interview Jerry Ordway for an hour in a co-interview process where the english version is here at Comic Book Historians, and the italian version is at Comics Reporter.  Jerry is asked about his DC Comics career highlights from the 1980s through the 2000s with All-Star Squadron and Infinity Inc with Roy Thomas, Crisis on Infinite Earths with George Perez, Adventures of Superman with Marv Wolfman and John Byrne, artist for the 1989 Batman Film adaptation,  his writer-artist period with Superman and Power of Shazam, co-creating Wildstar with Al Gordon, Zero Hour with Dan Jurgens, Tom Strong with Alan Moore and Just Imagine with Stan Lee.©Comic Book Historians, LLC.Support the show

Tom Hardy really has chemistry with Tom Hardy. It's Venom: The Last Dance this time on Harmless Phosphorescence!   Support the show and get early access and exclusive content at  https://www.patreon.com/harmlessentertainment   https://www.youtube.com/channel/UCEDmdtUAW_pJYCJfaZV7Unw/live   Buy some Merch! https://www.teepublic.com/stores/attention-hellmart-shoppers   Check out Executive Producer Michael Beckwith's movie website at https://upallnightmovies.com/   Siskel and Ebert Scale Josh - Down Brian - Down Al - Down Thoreau - Down   Ranking RANKINGS 1 Endgame 2 Spider-Man No Way Home 3 Infinity War 4 Logan 5 Deadpool & Wolverine 6 Captain America: Civil War 7 The Avengers 8 The Dark Knight 9 THE Suicide Squad 10 Thor Ragnarok 11 Guardians of the Galaxy vol 3 12 Black Panther 13 Iron Man 14 Captain America: The Winter Soldier 15 Guardians of the Galaxy vol 2 16 Guardians of the Galaxy 17 Batman Begins 18 Batman 89 19 Spider-Man 2 20 Spider-Man Homecoming 21 Spider-Man Far From Home 22 Black Panther: Wakanda Forever 23 Thor: Love and Thunder 24 Deadpool 2 25 Deadpool 26 The Batman 27 Captain America: The First Avenger 28 Spider-Man 29 X-Men: Days of Future Past 30 Dr Strange in the Multiverse of Madness 31 Shang-Chi 32 Joker 33 Captain Marvel 34 Ant-Man 35 Blue Beetle 36 Black Widow 37 Ant-Man and the Wasp 38 Eternals 39 Avengers: The Age of Ultron 40 Birds Of Prey 41 Wonder Woman 1984 42 Wonder Woman 43 Iron Man 3 44 The Dark Knight Rises 45 Superman 1978 46 The Marvels 47 Dr Strange 48 Thor 49 Kick-Ass 50 X-Men First Class 51 Hellboy 52 X2 53 Darkman 54 Iron Man 2 55 Swamp Thing 56 Hellboy II: The Golden Army 57 Watchmen 58 X-Men 2000 59 Batman Returns 60 Blade 61 Defendor 62 Unbreakable 63 The Crow 64 Batman 66 65 Orgazmo 66 Superman II 67 Ant-Man & The Wasp: Quantumania 68 Shazam! 69 Thor: The Dark World 70 The Wolverine 71 Superman Returns 72 Blade II 73 Mystery Men 74 Super 75 Teenage Mutant Ninja Turtles 76 Venom: The Last Dance 77 Chronicle 78 Ghost Rider: Spirit of Vengeance 79 Man of Steel 80 Venom: Let There Be Carnage 81 The Green Hornet 82 The Incredible Hulk 83 Sky High 84 The Mask 85 Constantine 86 The New Mutants 87 The Rocketeer 88 Superman III 89 Buffy the Vampire Slayer 90 The Return of Swamp Thing 91 The Flash 92 Shazam! Fury of the Gods 93 Superhero Movie 94 Blade Trinity 95 Batman V Superman: Dawn of justice 96 Venom 97 Aquaman and the Lost Kingdom 98 Black Adam 99 Fantastic Four: The Rise of Silver Surfer 100 Hancock 101 Fantastic Four 102 Madame Web 103 Blankman 104 Supergirl 105 The Crow 2024 106 Hellboy 2019 107 Power Rangers 108 The Meteor Man 109 Justice League 110 X-Men Last Stand 111 Van Helsing 112 Spiderman 3 113 The Amazing Spider-Man 114 TMNT2 115 Superman and the Mole Men 116 Green Lantern 117 Ghost Rider 118 TMNT3 119 Hero At Large 120 Push 121 Jumper 122 Condorman 123 Howard The Duck 124 Aquaman 125 Punisher: War Zone 126 Toxic Avenger Part II 127 TMNT: OOTS 128 TMNT14 129 Hulk 130 Bloodshot 131 Daredevil 132 The Crow: City of Angels 133 The Punisher 04 134 The Punisher 89 135 Batman Forever 136 Kick Ass 2 137 Steel 138 Glass 139 The League of Extraordinary Gentlemen 140 The Amazing Spider-Man 2 141 X-Men: Apocalypse 142 Split 143 Suicide Squad 144 Brightburn 145 X-Men Origins: Wolverine 146 The Adventures of Sharkboy and Lavagirl 147 Sgt Kabukiman NYPD 148 The Phantom 149 Toxic Avenger 150 The Mighty Morphin Power Rangers 151 The Shadow 152 The Toxic Avenger Part III 153 Spawn 154 Batman and Robin 155 Elektra 156 Morbius 157 My Super Ex-Girlfriend 158 Zoom 159 Underdog 160 Catwoman 161 The Spirit 162 Jonah Hex 163 Fant4stic 164 Max Steel 165 Superman IV: The Quest For Peace 166 Dark Phoenix 167 Citizen Toxie: The Toxic Avenger IV 168 Fast Color 169 Joker Folie a deux 170 Archenemy 171 Son of the Mask 172 The Crow: Wicked Prayer 173 Super Capers 174 All Superheroes Must Die

Shazam! x Proverbs 18:10 x Philippians 2:9-11Your daily crossover of faith and fandom! Experience daily Biblical encouragement from nerdy Christian podcasters, bloggers and content creators. Join the Nerd of Godcast community at www.NOGSquad.com

Cliff Saunders was born in Barrie, Ontario, and raised in Ottawa/Ottawa Valley area. He lives and works out of Toronto, Ontario, Canada. Cliff is known for his work in Open Range, Shazam, Hudson and Rex, Transplant, Umbrella Academy, Titans, Monk, Forever Knight, Outlander, and Chicago. Cliff currently plays Dale on the series FROM. Cliff has also appeared in numerous theatre productions throughout Canada and on Broadway where he appeared in the original Broadway production of The 39 Steps, and as Monsieur Thenardier in the 2014 Broadway revival of Les Miserables. He is renowned for his physical adeptness and comedic skills, as well as his versatility as a cartoon voice actor. He is married to actress Elizabeth Saunders. They have two daughters.   Want to watch: YouTube Meisterkhan Pod (Please Subscribe)

Biographical movies – also known as biopics – comprise a unique genre in the film industry. The Plugged In team looks at what makes these movies so compelling and how they sometimes take artistic liberties with the facts. Adam Holz then speaks with Paul Asay about the new based-on-a-true-story movie The Unbreakable Boy. Click here to get your copy of the great Plugged In book Becoming a Screen-Savvy Family today! Connect with us! www.ThePluggedInShow.com Connect on Facebook Find us on Instagram EMAIL: team@thepluggedinshow.com PHONE: 800-A-FAMILY (800-262-3459) Read the full review: · A Beautiful Mind · Remember the Titans · Heroes · Better Man · Hidden Figures · The Imitation Game · Selma · Reagan · Oppenheimer · Bonhoeffer · Hamilton · Shazam · American Underdog · Wonder · The Unbreakable Boy The Plugged In Tech Guide Focus on the Family with Jim Daly Episode: How Your Family Can Manage Technology Well Part 1 How You Can Make Wise Entertainment Choices for Your Family Donate Now! We'd love to hear from you! Visit our Homepage to leave us a voicemail. If you've listened to any of our podcasts, please give us your feedback.

Megyn Kelly opens the show by discussing what's really happening with President Trump vs. Ukraine President Zelensky, and how the Ukraine War could end now that Trump's administration is leading negotiations. Then actor Zachary Levi joins to discuss his new movie, “The Unbreakable Boy,” why he feels God brought him and the rest of the movie cast and crew to this, the importance of the movie and its message, how it fits with the rest of his career,how Tulsi Gabbard helped lead him to support Trump during the campaign, his support of RFK Jr. at HHS and Elon Musk at DOGE, how his career wasn't affected by the endorsement of Trump, the inspiring way Robert F. Kennedy plans to transform the Department of Health and Human Services, his plan to address the "off limits" areas that have been ignored, how he moved to Austin, Texas in an attempt to solve his problems, why this actually led to more challenges, hitting rock bottom in his life when he blew his life up, how a combination of God and therapy saved his life, how he landed the lead role in “Shazam” while spending a month in intensive therapy, how it was God calling him to the role and the support he received along the way, and more.More from Levi: https://theunbreakableboy.movieGround News: Use the link https://groundnews.com/megyn for 40% off the Vantage subscription to see through mainstream media narratives.Done with Debt: https://www.DoneWithDebt.com/Hungryroot: Visit https://Hungryroot.com/megyn for 40% off your first box PLUS a free item in every box for lifeTuttle Twins: Visit https://TuttleTwins.com/MKTax Network USA:CALL 1-800-958-1000 or visit https://TNUSA.com/MEGYN to speak with a strategist for FREE todayFollow The Megyn Kelly Show on all social platforms:YouTube: https://www.youtube.com/MegynKellyTwitter: http://Twitter.com/MegynKellyShowInstagram: http://Instagram.com/MegynKellyShowFacebook: http://Facebook.com/MegynKellyShow Find out more information at: https://www.devilmaycaremedia.com/megynkellyshow

There are only three people in Hollywood Glenn wants to interview — Denzel Washington, Chris Pratt, and Zachary Levi. In this episode of "The Glenn Beck Podcast," Glenn sits down with Zachary Levi, author of “Radical Love,” an actor known for his leading roles in “Chuck,” “Tangled,” and “Shazam!” Glenn and Zachary discuss his “coming out politically” and do a deep dive into Zachary's fall into a “dopamine spiral,” his battle with suicide, and how “insanity” runs in Glenn's family “like a pack of wild animals.” The pair “thank God” Trump won the election but worry about the “snark” and “sarcasm” within the conservative movement and hope we all maintain the humility to say, “I was wrong.” Zachary says the legacy media has played a “nefarious” role in dividing Americans. Glenn explains the “octopus of the administrative state,” and they both agree that we are not prepared for AI's infiltration of every single industry. After discussing the deep state, smartphones, BlackRock, Syria, Ukraine, vaccines, Elon Musk, and even the afterlife, Glenn asks the question on everyone's mind: What does Zachary, who has just announced he's going to be a father, mean when he says he's going to “lock it down” with his girlfriend?        Sponsors     Homestead  Pre-order your tickets for Homestead at https://Angel.com/BECK.     Byrna       Byrna is the best alternative to deadly force. Visit https://byrna.com/GLENN for a 10% discount.  Good Ranchers    Bring 100% American meat to your family with Good Ranchers. Visit https://www.goodranchers.com/ and use the promo code GLENN to claim a free gift in every box and $25 off.  Learn more about your ad choices. Visit megaphone.fm/adchoices