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Hosted by matt turck
3 episodes with matt turck
3 episodes with matt turck
3 episodes with matt turck
2 episodes with matt turck
2 episodes with matt turck
In der aktuellen Zeit verändert sich maßgeblich, wie wir Firmen bauen. Von KI-Integration über effizientere Teams bis hin zur Nutzung moderner Tech-Stacks – du erfährst, warum kleine Teams heute mit den richtigen Tools große Ergebnisse erzielen können und welche Prinzipien Gründer beachten sollten, um nachhaltig und substanziell zu wachsen. Dabei schauen wir uns den Go-To-Market Tech Stack eines deutschen Gründers, ein paar Vorhersagen zu Organisationen der Zukunft und überraschende Daten zu Teamgröße und Umsatz an. Was du lernst: Effizienz durch kleine Teams: Wie kleine, KI-unterstützte Teams Ergebnisse erzielen, die früher große Teams brauchten Beispiele von Unternehmen, die mit wenigen Personen Millionenumsätze erreichen Die Rolle von KI und Tools: Warum KI und Automatisierung entscheidend für modernes Company Building sind Welche Tools und Tech-Stacks Unternehmen nutzen, um Prozesse zu optimieren Veränderung im Marketing und Vertrieb: Warum personalisierter und authentischer Content wichtiger ist als klassische Werbung Wie du mit gezieltem Outbound-Marketing und kleinen Events Leads generierst Substanz statt Wachstum um jeden Preis: Warum es wichtiger ist, nachhaltig zu bauen, statt Probleme mit immer mehr Mitarbeitenden zu lösen Tools: Clay (3.000 free credits): https://clay.com?via=73e581 Cello (1000€ Discount): www.cello.so/unicorn Along (10% discount): https://alongspace.cello.so/UJFKZmJlDXD HeyReach: heyreach.io/?via=fabian2u Attio (10% off): https://www.attio.com?r=O6viQBmfTcOndBKv Ahref: https://ahrefs.com/ Tl;dv: https://tldv.io/ Apollo: https://www.apollo.io/ Aircall: https://aircall.io/ Cursor: https://www.cursor.com/ Quellen: Post von Stefan Bader: https://www.linkedin.com/feed/update/urn:li:activity:7298658633498677251/ Post von Matt Turck: https://www.linkedin.com/feed/update/urn:li:activity:7296180925418164225/ Post von Bardo Droege: https://www.linkedin.com/feed/update/urn:li:activity:7299183195239972864/ Post von Omar Ismail: https://www.linkedin.com/feed/update/urn:li:activity:7301181821826838529 Post von Michael Jackson: https://www.linkedin.com/feed/update/urn:li:activity:7308924662090981379/ Post von Yair Slasky: https://www.linkedin.com/feed/update/urn:li:activity:7300804002382774275/ Kapitel: (00:00:00) Große Ergebnisse trotz kleinem Team: >100M Umsatz mit weniger als 20 Leuten? (00:07:02) Marketing & Sales: Mehr Story, weniger klassische Werbung? (00:11:41) Tech-Stack für effiziente Arbeit am Beispiel Cello (00:13:39) Tool-Stack-Beispiel zur Leadqualifizierung bei Cello (00:15:51) Effizienter Outreach bei Temple: Ohne Engineering-Ressourcen Dank KI zur Leadliste
In this insightful episode of the Startup CEO Show, host Mark MacLeod sits down with Matt Turck, General Partner at FirstMark Capital, for a wide-ranging discussion on venture capital, AI, and the startup ecosystem.As the first VC guest on the show, Turck offers a unique perspective on board dynamics, content creation, and the evolution of the tech industry. He shares his experiences as an early AI investor and discusses the current state of enterprise AI adoption, highlighting the challenges and opportunities in the space. Turck emphasizes the importance of founder quality and market timing in startup success, drawing on his years of experience backing unicorn companies. The conversation also touches on the global nature of tech innovation, with Turck expressing bullish sentiments on European entrepreneurship and the spread of Silicon Valley's model worldwide. Tune in to hear Turck's thoughts on the future of SaaS, the AI revolution, and what it takes to build a successful startup in today's rapidly changing landscape.-------------------------Since 1999, I have sat at the right-hand side of the leaders of high growth technology companies as either a CFO, VC or deal maker. I served as CFO for software companies including Shopify (NYSE: SHOP) and Freshbooks. As a CFO I experienced outright failures, wildly profitable exits, and everything in between.I was a General Partner in Real Ventures, Canada's largest and most active seed stage fund. My investments there include the fund's largest cash on cash and highest IRR returns to date. Most recently, I founded SurePath Capital Partners the leading investment bank for SMB SaaS companies where we did hundreds of millions in financing and exit transactions.Connect on LinkedIn: https://www.linkedin.com/in/themarkmacleod/Connect on X/Twitter: https://twitter.com/markmacleod_Contact Mark: https://markmacleod.me/
Today's show: Trump just floated the idea of a U.S. Crypto Reserve, suggesting a 10 bips transaction tax and naming unexpected altcoins like XRP, Solana, and Cardano. Jason and Alex break down what this means for crypto markets, regulation, and startups—plus the legal and political fallout. Is this a game-changer or just another pump-and-dump controversy?*Timestamps:(0:00) Alex and Jason kick of the show!(1:48) Trump's crypto policy and PR strategy(7:14) Analysis of Trump's proposed US crypto reserve(10:21) Gusto. Get three months free when you run your first payroll at http://gusto.com/twist(11:32) Predictions on legal challenges to Trump's crypto proposal(12:08) Industry reactions to the crypto tax proposal(20:27) OpenPhone. Get 20% off your first six months at https://www.openphone.com/twist(22:26) Crypto report around market hours and Eric Trump's tweet(24:13) Predictions on Trump's future crypto policies and inflation impact(27:10) Trump's Truth Social and Crypto Investments dynamics(30:48) LinkedIn Jobs. Post your first job for free at https://www.linkedin.com/twist(31:05) Jason's alternative idea for a crypto tax(36:40) Ramp's funding and fintech sector growth(41:02) Discussion on investment performance and Jason's ETF idea(46:42) Challenges companies face with public offerings and market fairness(50:14) Potential CoreWeave IPO and high CapEx costs(54:39) Founder Hack from Matt Turck(57:12) Exploring hybrid business models*Links from the episode:Check out Angel University: https://www.angel.university/Check out the JCal Case Study at Stanford Business: https://www.gsb.stanford.edu/faculty-research/case-studies/jason-calacanis-case-study-creating-resourcesCheck out Arduino: https://www.arduino.cc/Check out Ramp: https://ramp.com/Check out Coreweave: https://www.coreweave.com/*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm*Follow Lon:X: https://x.com/LonsLinkedIn: https://www.linkedin.com/in/lonharris*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Thank you to our partners:(10:21) Gusto. Get three months free when you run your first payroll at http://gusto.com/twist(20:27) OpenPhone. Get 20% off your first six months at https://www.openphone.com/twist(30:48) LinkedIn Jobs. Post your first job for free at https://www.linkedin.com/twist*Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland*Check out Jason's suite of newsletters: https://substack.com/@calacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com*Subscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916
In this season premiere of The Data Chief podcast, your host Cindi Howson sits down with three industry visionaries to explore the trends, predictions, and must-take actions for data leaders in 2025. Get ready for a deep dive into: The generative AI revolution with Matt Turck, Partner at FirstMark CapitalThe future of data science and genAI with Steve Nouri, Founder of GenAI Works and AI for DiversityData Engineering in the Age of AI with Joe Reis, author of "Fundamentals of Data Engineering" and the upcoming "Mixed Model Arts."Plus: Hear their fun predictions for everything from sports to space travel!Key Moments:The generative AI revolution: Matt Turck, Partner at FirstMark Capital shares his insights on the evolving AI landscape, the rise of unstructured data, and why now is the time for enterprises to embrace AI. (1:40) The Future of Data Science: Steve Nouri, Founder of GenAI Works (an 8-million-strong community!) and AI for Diversity, discusses the impact of GenAI on data science roles, the ethical considerations of AI, and exciting trends like embodied AI and agentic AI. (29:36) Data Engineering in the Age of AI: Joe Reis, author of "Fundamentals of Data Engineering" and the upcoming "Mixed Model Arts," provides his expert perspective on the importance of data modeling, the need for upskilling in data teams, and the potential for a universal semantic layer. (1:00:00) Key Quotes:“I would predict that there's going to be a number of big acquisitions in our general space in 2025. This whole tension between the public markets doing very well, especially in tech, but the private markets still recovering - I think lends itself well to a wave of consolidation.” - Matt Turck“Anything that requires democratization, I'm a big fan of. And certainly, the ability to query natural language databases and all things, making that available to everyone is a very powerful idea. You guys at ThoughtSpot know this better than anyone.” - Matt Turck“We are seeing people doing less coding, more relying on their co-pilots. It's going to evolve to become more and more robust. So we will be relying more on AI to do the coding.” - Steve Nouri“Well, that's what, you know, the tagline is, AI will do everything for you. It'll even do your laundry, the jobs that we don't like. And so you're actually saying you see a future where that actually is not too far off.” - Steve Nouri“I think that there's definitely a FOMO and a bit of a prisoner's dilemma problem with adopting AI in the organization because they're getting a lot of pressure from the top down, especially to do AI. Understanding what that means to your organization should be table stakes.” - Joe Reis“Learning never stops, investment never stops. And the best investment you can make is always improving yourself, no matter what that looks like.” Joe ReisMentions:FirstMark MAD Landscape 2024The MAD Podcast with Matt TurckAI4DiversityGenAI.WorksFundamentals of Data EngineeringJoe Reis Substack Guest Bios:Matt Turck is a Partner at FirstMark, where he focuses primarily on early-stage enterprise investing in the US and Europe. Matt is particularly active in the data, machine learning and AI space. For the last 10+ years, he has been organizing Data Driven NYC, the largest data/AI community in the US, and publishing the MAD Landscape, an annual analysis of the data/AI industry. He also hosts the weekly MAD (ML, AI, Data) Podcast. He can be followed on X/Twitter at @mattturck.Steve Nouri is the CEO and Co-founder of GenAI Works, the largest AI community. He is a renowned AI leader and Australia's ICT Professional of the Year, has revolutionized AI perspectives while championing Responsible and inclusive AI, founding a global non-profit initiative.Joe Reis, a "recovering data scientist" with 20 years in the data industry, is the co-author of the best-selling O'Reilly book, "Fundamentals of Data Engineering." He's also the instructor for the wildly popular Data Engineering Professional Certificate on Coursera, in partnership with DeepLearning.ai and AWS.Joe's extensive experience encompasses data engineering, data architecture, machine learning, and more. He regularly keynotes major data conferences globally, advises and invests in innovative data product companies, writes at Practical Data Modeling and his personal blog, and hosts the popular data podcasts "The Monday Morning Data Chat" and "The Joe Reis Show." In his free time, Joe is dedicated to writing new books and articles, and thinking of ways to advance the data industry. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
In this special episode of the MAD Podcast, Matt Turck and Aman Kabeer from FirstMark delve into the AI market from a venture investor perspective, in the final weeks of an incredibly packed and exciting 2024. They comment on their favorite news stories, such as OpenAI's record-breaking $6.6 billion funding round and the massive $200B investments in AI infrastructure by Meta, Google, and Amazon. They tackle the latest trends in funding and valuations in both public and private markets, debate the critical question of whether we're in an AI bubble, examine the current state of AI demand, the potential of scaling laws, and the future of AI-driven innovation. They then discuss where they see opportunities for startups and investors across AI hardware, compute, foundation models, AI tooling, and both consumer and enterprise AI applications. FIRSTMARK Website - https://firstmark.com X/Twitter - https://twitter.com/FirstMarkCap Matt Turck (Managing Director) LinkedIn - https://www.linkedin.com/in/turck/ X/Twitter - https://twitter.com/mattturck Aman Kabeer (Investor) LinkedIn - https://www.linkedin.com/in/aman-kabeer/ X/Twitter - https://x.com/AmanKabeer11 (00:00) Intro (02:20) The Year of Record-Breaking Evaluations and Investments (05:23) AI's Environmental Impact and Nuclear Revival (06:48) AI Valuations and Market Dynamics (17:01) Are We in an AI Bubble? (25:01) AI Progress and Demand (35:06) AI's Role in Consumer Applications (41:02) AI's Influence on SaaS and Business Models (50:55) AI's Role in Enterprise Transformation (01:04:00) The Future of AI: Apps and Agents
Matt Turck has been publishing his ecosystem map since 2012. It was first called the Big Data Landscape. Now it's the Machine Learning, AI & Data (MAD) Landscape. The 2024 MAD Landscape includes 2,011(!) logos, which Matt attributes first a data infrastructure cycle and now an ML/AI cycle. As Matt writes, “Those two waves are intimately related. A core idea of the MAD Landscape every year has been to show the symbiotic relationship between data infrastructure, analytics/BI, ML/AI, and applications.” Matt and Tristan discuss themes in Matt's post: generative AI's impact on data analytics, the modern AI stack compared to the modern data stack, and Databricks vs. Snowflake (plus Microsoft Fabric). For full show notes and to read 7+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.
CNBC's Deirdre Bosa is BACK with Dan Nathan to discuss what has the Valley buzzing. TikTok might be forced to part ways with ByteDance, what does this mean for Teemu and Shein (2:00), Perplexity Set To Double Valuation to $1 Billion (10:30), will investors “sell the news” after Nvidia's GTC 2024 next week (17:00)? After the break, Dan is joined by Matt Turck, Partner at FirstMark Capital and Florian Douetteau, CEO & Co-Founder of Dataiku about the state of Enterprise AI and the “Globalization of Entrepreneurship” (22:00) Listen: Aravind Srinivas on “Invest Like The Best” with Patrick O'Shaughnessy Read: Matt's 2023 MAD Report Read: Amazon, Google Quietly Tamp Down Generative AI Expectations — View our show notes here Learn more about Current: current.com Listen to 'Strategic Alternatives': https://www.rbccm.com/en/gib/ma-inflection-points Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
CNBC's Deirdre Bosa is BACK with Dan Nathan to discuss what has the Valley buzzing. TikTok might be forced to part ways with ByteDance, what does this mean for Teemu and Shein (2:00), Perplexity Set To Double Valuation to $1 Billion (10:30), will investors “sell the news” after Nvidia's GTC 2024 next week (17:00)? After the break, Dan is joined by Matt Turck, Partner at FirstMark Capital and Florian Douetteau, CEO & Co-Founder of Dataiku about the state of Enterprise AI and the “Globalization of Entrepreneurship” (22:00) Listen: Aravind Srinivas on “Invest Like The Best” with Patrick O'Shaughnessy Read: Matt's 2023 MAD Report Read: Amazon, Google Quietly Tamp Down Generative AI Expectations — View our show notes here Learn more about Current: current.com Listen to 'Strategic Alternatives': https://www.rbccm.com/en/gib/ma-inflection-points Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
On this episode of Okay, Computer. Dan Nathan and Deirdre Bosa chat about their first reactions to the OpenAI shakeup when it broke on Friday (2:00), Satya Nadella on CNBC (4:00), risks to Microsoft (9:00), Deidre's biggest takeaway from the events over the last few days (14:30), and the OpenAI board opening talks for Sam Altman's return (17:00). Later, Dan sits down with Matt Turck, Partner at FirstMark Capital and host of The MAD Podcast, to discuss the implications of the OpenAI drama (19:30), what's at stake for public and private investors (21:35), consumer AI vs. enterprise AI (25:30), whether is better off with Sam Altman (28:00), the shift in corporate reputation (34:00), opportunities the potential collapse of OpenAI means for public companies (35:30), VCs (38:15) and talent (40:15). They end the conversation with a quick chat about The MAD Podcast with Matt Turck (44:00) and the outlook for Google (46:15). Inspiration for today's title: https://www.youtube.com/watch?v=i5pUOVC50Y8 -- View our show notes here Learn more about Ro body: ro.co/okay Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
On this episode of Okay, Computer. Dan Nathan and Deirdre Bosa chat about their first reactions to the OpenAI shakeup when it broke on Friday (2:00), Satya Nadella on CNBC (4:00), risks to Microsoft (9:00), Deidre's biggest takeaway from the events over the last few days (14:30), and the OpenAI board opening talks for Sam Altman's return (17:00). Later, Dan sits down with Matt Turck, Partner at FirstMark Capital and host of The MAD Podcast, to discuss the implications of the OpenAI drama (19:30), what's at stake for public and private investors (21:35), consumer AI vs. enterprise AI (25:30), whether is better off with Sam Altman (28:00), the shift in corporate reputation (34:00), opportunities the potential collapse of OpenAI means for public companies (35:30), VCs (38:15) and talent (40:15). They end the conversation with a quick chat about The MAD Podcast with Matt Turck (44:00) and the outlook for Google (46:15). Inspiration for today's title: https://www.youtube.com/watch?v=i5pUOVC50Y8 View our show notes here Learn more about Ro body: ro.co/okay Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow @dee_bosa on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
Summary Artificial Intelligence is experiencing a renaissance in the wake of breakthrough natural language models. With new businesses sprouting up to address the various needs of ML and AI teams across the industry, it is a constant challenge to stay informed. Matt Turck has been compiling a report on the state of ML, AI, and Data for his work at FirstMark Capital. In this episode he shares his findings on the ML and AI landscape and the interesting trends that are developing. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. As more people start using AI for projects, two things are clear: It's a rapidly advancing field, but it's tough to navigate. How can you get the best results for your use case? Instead of being subjected to a bunch of buzzword bingo, hear directly from pioneers in the developer and data science space on how they use graph tech to build AI-powered apps. . Attend the dev and ML talks at NODES 2023, a free online conference on October 26 featuring some of the brightest minds in tech. Check out the agenda and register today at Neo4j.com/NODES (https://Neo4j.com/NODES). Your host is Tobias Macey and today I'm interviewing Matt Turck about his work on the MAD (ML, AI, and Data) landscape and the insights he has gained on the ML ecosystem Interview Introduction How did you get involved in machine learning? Can you describe what the MAD landscape project is and the story behind it? What are the major changes in the ML ecosystem that you have seen since you first started compiling the landscape? How have the developments in consumer-grade AI in recent years changed the business opportunities for ML/AI? What are the coarse divisions that you see as the boundaries that define the different categories for ML/AI in the landscape? For ML infrastructure products/companies, what are the biggest challenges that they face in engineering and customer acquisition? What are some of the challenges in building momentum for startups in AI (existing moats around data access, talent acquisition, etc.)? For products/companies that have ML/AI as their core offering, what are some strategies that they use to compete with "big tech" companies that already have a large corpus of data? What do you see as the societal vs. business importance of open source models as AI becomes more integrated into consumer facing products? What are the most interesting, innovative, or unexpected ways that you have seen ML/AI used in business and social contexts? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the ML/AI elements of the MAD landscape? When is ML/AI the wrong choice for businesses? What are the areas of ML/AI that you are paying closest attention to in your own work? Contact Info Website (https://mattturck.com/) @mattturck (https://twitter.com/mattturck) on Twitter Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. The Data Engineering Podcast (https://www.dataengineeringpodcast.com) covers the latest on modern data management. Podcast.__init__ () covers the Python language, its community, and the innovative ways it is being used. Visit the site (https://www.themachinelearningpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com (mailto:hosts@themachinelearningpodcast.com)) with your story. To help other people find the show please leave a review on iTunes (https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243) and tell your friends and co-workers Links MAD Landscape (https://mad.firstmark.com/) Data Engineering Podcast Episode (https://www.dataengineeringpodcast.com/mad-landscape-2023-data-infrastructure-episode-369) First Mark Capital (https://firstmark.com/) Bayesian Techniques (https://en.wikipedia.org/wiki/Bayesian_inference) Hadoop (https://hadoop.apache.org/) ChatGPT (https://chat.openai.com/) AutoGPT (https://news.agpt.co/) Dataiku (https://www.dataiku.com/) Generative AI (https://generativeai.net/) Databricks (https://www.databricks.com/) MLOps (https://ml-ops.org/) OpenAI (https://openai.com/) Anthropic (https://www.anthropic.com/) DeepMind (https://www.deepmind.com/) BloombergGPT (https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/) HuggingFace (https://huggingface.co/) Jexi (https://www.imdb.com/title/tt9354944/) Movie "Her" (https://www.imdb.com/title/tt1798709/?ref_=fn_al_tt_1) Movie Synthesia (https://www.synthesia.io/) The intro and outro music is from Hitman's Lovesong feat. Paola Graziano (https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/)/CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0/)
Relational databases, data cloud's effect on infrastructure, serverless databases, and GTM strategies: Matt Turck and CockroachDB's Spencer Kimball cover it all in today's episode.
In this episode, I talk with Matt Turck General Partner at the New York based Venture firm Firstmark Capital about succeeding as a VC. Firstmark invests in a very focused way, primarily in Series A rounds. Matt himself has been focused on Artificial Intelligence, Machine Learning & Data for more than 10 years. AI Hype: What do companies and founders need to survive the hype? Growth Fundraising: Matt's portfolio companies Pigment and Synthesia just raised large growth roungs. Are growth financing rounds back? European Startup Ecosystem: As a French living in New York for 20 years, how does Matt perceive the European ecosystem? ALL ABOUT UNICORN BAKERY: https://zez.am/unicornbakery What you learn: What makes a good VC? How should startups choose their investors? What founder qualities are most important to Matt? Matt's take on the European ecosystem comapred to the US Matt Turck LinkedIn: https://www.linkedin.com/in/turck/ FirstMark: https://firstmark.com WHATSAPP NEWSLETTER: 1-2x weekly get a personalized voice note or content from me that will make you a better founder, sign up now with one click: https://bit.ly/ub-whatsapp-newsletter (00:00:00) What makes a successful venture investor? (00:06:36) How do you personally manage FOMO (Fear of Missing Out)? (00:12:58) What should founders look for when fundraising and choosing investors? (00:20:51) Why did your opinion change from looking for technical founder to accepting business founders, too? (00:24:52) What are your thoughts on the AI hype? (00:30:24) How do I survive the hype cycle as an AI startup? (00:38:07) How important is defensibility for startups in the (pre-)seed phase? (00:42:39) How is the growth financing dynamic changing at the moment? (00:46:14) How would you compare the European startup ecosystem to the U.S. ecosystem?
AssemblyAI Founder & CEO, Dylan Fox joined FirstMark Managing Partner, Matt Turck for Data Driven NYC! AssemblyAI is the fastest way to build with AI for audio. With a simple API, get access to production-ready AI models to transcribe and understand speech. AssemblyAI has raised $63M+.
Do you want to know more about the evolution of AI/ML and the future of data science? In this episode, we discuss the MAD landscape, covering the current state of AI/ML, the evolution of the AI/ML space, and the future of data science. Matt Turck, Managing Director at FirstMark, is a leading expert in the field of AI/ML, and his insights and perspectives on this topic are truly eye-opening. In this episode, we cover a wide range of topics, from the latest advancements in machine learning to the ethical considerations that come with using AI in our daily lives. Whether you're an AI/ML professional or simply curious about this exciting field, I think you'll find this episode to be both informative and engaging. #data #datascience #ai #ml #analytics #dataanalytics #ptyhon #machinelearning #businessintelligence #datawarehouse #theravitshow
William Falcon, Founder of Lightning AI joins Matt Turck for a conversation on pytorch, LLaMAs, the future of large language models, and more.
Matt Turck is a Partner at FirstMark Capital where he focuses primarily on early-stage enterprise investing. He is particularly active in the data, machine learning, and AI. Since 2011, he has been organizing Data Driven NYC, the largest data/AI community in the US. Since 2012, he has been publishing an annual landscape of the data/AI industry, the MAD report. Earlier in his career, he was the co-founder of TripleHop, an enterprise search software startup that was acquired by Oracle. Immediately prior to FirstMark, he was a Managing Director at Bloomberg Ventures, the incubation arm of Bloomberg LP, which he helped start.In this episode, we cover a range of topics including: - AI going mainstream with ChatGPT- ChatGPT Plugins- Generative AI in the enterprise- AI startup landscape- "Copilot for X" products- What gets him excited about an investment opportunity- The moat of AI-infused businesses- GTM motion of successful AI startupsMatt's favorite books: All the books in the Incerto series (Author: Nassim Nicholas Taleb)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi
Summary The data ecosystem has been building momentum for several years now. As a venture capital investor Matt Turck has been trying to keep track of the main trends and has compiled his findings into the MAD (ML, AI, and Data) landscape reports each year. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Businesses that adapt well to change grow 3 times faster than the industry average. As your business adapts, so should your data. RudderStack Transformations lets you customize your event data in real-time with your own JavaScript or Python code. Join The RudderStack Transformation Challenge today for a chance to win a $1,000 cash prize just by submitting a Transformation to the open-source RudderStack Transformation library. Visit dataengineeringpodcast.com/rudderstack (https://www.dataengineeringpodcast.com/rudderstack) today to learn more Your host is Tobias Macey and today I'm interviewing Matt Turck about his annual report on the Machine Learning, AI, & Data landscape and the insights around data infrastructure that he has gained in the process Interview Introduction How did you get involved in the area of data management? Can you describe what the MAD landscape report is and the story behind it? At a high level, what is your goal in the compilation and maintenance of your landscape document? What are your guidelines for what to include in the landscape? As the data landscape matures, how have you seen that influence the types of projects/companies that are founded? What are the product categories that were only viable when capital was plentiful and easy to obtain? What are the product categories that you think will be swallowed by adjacent concerns, and which are likely to consolidate to remain competitive? The rapid growth and proliferation of data tools helped establish the "Modern Data Stack" as a de-facto architectural paradigm. As we move into this phase of contraction, what are your predictions for how the "Modern Data Stack" will evolve? Is there a different architectural paradigm that you see as growing to take its place? How has your presentation and the types of information that you collate in the MAD landscape evolved since you first started it?~~ What are the most interesting, innovative, or unexpected product and positioning approaches that you have seen while tracking data infrastructure as a VC and maintainer of the MAD landscape? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the MAD landscape over the years? What do you have planned for future iterations of the MAD landscape? Contact Info Website (https://mattturck.com/) @mattturck (https://twitter.com/mattturck) on Twitter MAD Landscape Comments Email (mailto:mad2023@firstmarkcap.com) Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links MAD Landscape (https://mad.firstmarkcap.com) First Mark Capital (https://firstmark.com/) Bayesian Learning (https://en.wikipedia.org/wiki/Bayesian_inference) AI Winter (https://en.wikipedia.org/wiki/AI_winter) Databricks (https://www.databricks.com/) Cloud Native Landscape (https://landscape.cncf.io/) LUMA Scape (https://lumapartners.com/lumascapes/) Hadoop Ecosystem (https://www.analyticsvidhya.com/blog/2020/10/introduction-hadoop-ecosystem/) Modern Data Stack (https://www.fivetran.com/blog/what-is-the-modern-data-stack) Reverse ETL (https://medium.com/memory-leak/reverse-etl-a-primer-4e6694dcc7fb) Generative AI (https://generativeai.net/) dbt (https://www.getdbt.com/) Transform (https://transform.co/) Podcast Episode (https://www.dataengineeringpodcast.com/transform-co-metrics-layer-episode-206/) Snowflake IPO (https://www.cnn.com/2020/09/16/investing/snowflake-ipo/index.html) Dataiku (https://www.dataiku.com/) Iceberg (https://iceberg.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/tabular-iceberg-lakehouse-tables-episode-363) Hudi (https://hudi.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/hudi-streaming-data-lake-episode-209/) DuckDB (https://duckdb.org/) Podcast Episode (https://www.dataengineeringpodcast.com/duckdb-in-process-olap-database-episode-270/) Trino (https://trino.io/) Y42 (https://www.y42.com/) Podcast Episode (https://www.dataengineeringpodcast.com/y42-full-stack-data-platform-episode-295) Mozart Data (https://www.mozartdata.com/) Podcast Episode (https://www.dataengineeringpodcast.com/mozart-data-modern-data-stack-episode-242/) Keboola (https://www.keboola.com/) MPP Database (https://www.techtarget.com/searchdatamanagement/definition/MPP-database-massively-parallel-processing-database) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)
There are many types of early stage funding available from friends and family to seed to series A. Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long haul – they focus on specific areas of technology and develop both long term relationships The post Data Investing and the MAD with Matt Turck appeared first on Software Engineering Daily.
There are many types of early stage funding available from friends and family to seed to series A. Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long haul – they focus on specific areas of technology and develop both long term relationships The post Data Investing and the MAD with Matt Turck appeared first on Software Engineering Daily.
Matt Turck (Firstmark Capital) joins us to chat about what's new in the data landscape, the economic realities impacting the startup ecosystem, all things AI, and much more. Matt is easily one of our favorite thinkers in the data and tech space, so this is definitely worth tuning in for. MAD Landscape 2023: https://mattturck.com/mad2023/
TechCheck's Deirdre Bosa is back for another edition of Okay, Computer! Google vs. Microsoft, who will emerge as the AI leader (1:30)? Look to Meta and Snap for the next wave of AI announcements (4:30). Nvidia earnings report recap (9:30). Chat bots are growing organically inside Microsoft and Bing, how many unicorns are out there (13:30)? Steve Ballmer's AI warning (15:30). Potential TikTok ban (18:00). Matt Turck is a Partner at venture capital firm FirstMark, where he focuses mostly on early-stage enterprise and B2B investing. Prior to FirstMark, Matt was a startup founder, tech executive and angel investor. Since 2011, he has been running Data Driven NYC, the largest data and AI community in the US and He also organizes Hardwired NYC, a community focused on deep tech. Matt actively blogs at mattturck.com and can be followed on Twitter at @mattturck On the pod, Dan, Matt and Rick discuss the nuances of tweeting and Matt's journey to FirstMark Capital (27:00:00). Matt and Rick give us the rundown on the 2023 “M.A.D.” Landscape aka Machine Learning, Artificial Intelligence & Data (36:00). Tech's move from Silicon Valley to New York City (38:30). Is generative AI the overhyped buzzword of 2023 (51:00)? What's next in the AI space for Matt (1:04:30)? View our show notes and transcript here Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow Dan Nathan @RiskReversal on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
TechCheck's Deirdre Bosa is back for another edition of Okay, Computer! Google vs. Microsoft, who will emerge as the AI leader (1:30)? Look to Meta and Snap for the next wave of AI announcements (4:30). Nvidia earnings report recap (9:30). Chat bots are growing organically inside Microsoft and Bing, how many unicorns are out there (13:30)? Steve Ballmer's AI warning (15:30). Potential TikTok ban (18:00). Matt Turck is a Partner at venture capital firm FirstMark, where he focuses mostly on early-stage enterprise and B2B investing. Prior to FirstMark, Matt was a startup founder, tech executive and angel investor. Since 2011, he has been running Data Driven NYC, the largest data and AI community in the US and He also organizes Hardwired NYC, a community focused on deep tech. Matt actively blogs at mattturck.com and can be followed on Twitter at @mattturck On the pod, Dan, Matt and Rick discuss the nuances of tweeting and Matt's journey to FirstMark Capital (27:00:00). Matt and Rick give us the rundown on the 2023 “M.A.D.” Landscape aka Machine Learning, Artificial Intelligence & Data (36:00). Tech's move from Silicon Valley to New York City (38:30). Is generative AI the overhyped buzzword of 2023 (51:00)? What's next in the AI space for Matt (1:04:30)? View our show notes and transcript here Email us at contact@riskreversal.com with any feedback, suggestions, or questions for us to answer on the pod and follow us @OkayComputerPod. We're on social: Follow Dan Nathan @RiskReversal on Twitter Follow @GuyAdami on Twitter Follow us on Instagram @RiskReversalMedia Subscribe to our YouTube page
Reid Hoffman, Saam Motamedi, Sarah Guo, Lan Xuezhao, Matt Turck, Leigh Marie Braswell, Nathan Benaich, Rob Toews, Cat Wu, and Michael Dempsey highlight the AI trends to keep an eye on. Brought to you by Sardine Scams only work if people believe they're real. Scams hide in plain sight. The email outlining an investment opportunity or the phone call promising paid work may seem like good fortune. But more likely than not, they're attempts to defraud you. The sophistication of these scams means that anyone is at risk. Last year, fraud losses increased 70%, suggesting that fraud is outstripping our technological defenses. It's a problem that is constantly evolving. While people like me and you are at risk, so are companies. Businesses lose billions every year in scams, sometimes without realizing it since they're often defrauded by “verified” customers. Sardine protects businesses from such threats. Leveraging sophisticated machine learning, Sardine stops the scammers from winning. You can think of them as the world's best fraud team that you hire as an API. Compliance, onboarding, transaction monitoring, and fraud detection are all handled through Sardine's simple API and SDK. The impact is major. Sardine helps businesses like FTX, Brex, Metamask, and Blockchain improve their conversion rates, raise order values, and lower fraud losses. Scale without the scams. Implement Sardine today. To find the original piece, published Oct 30, 2022, follow this link. Subscribe to this podcast, and to our newsletter at readthegeneralist.com. You can also follow @mariogabriele and @thegeneralistco on Twitter for updates.
Lundi 10 octobre, François Sorel a reçu Frédéric Simottel, journaliste BFM Business, Cédric O, ancien secrétaire d'État au Numérique, Sabrina Quagliozzi, correspondante de BFM Business à New York, Matt Turck, Partner chez FirstMark Capital, Gary Shapiro, PDG de la Consumer Technology Association, Clément David, président de Padok, Damien Licata Caruso, journaliste tech au Parisien, Justine Soudier, directrice d'EDHEC Entrepreneurs, et Marwan Elfitesse, responsable des Programmes Startup & Services à Station F, dans l'émission Tech & Co sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.
Matt Turck from FirstMark Capital joins us on a live episode of ‘What's New In Data' from Snowflake Summit. We recap the summit, talk about the state of the data industry, and look ahead to how a potential recession will play a role.What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.
I moved from San Francisco to New York, in February 2019, back before it was cool to turn tail on the tech mecca. Truth be told, I’ll always have a special place in my heart for San Francisco, but my girlfriend beckoned from Brooklyn.I’m writing this from my flight back to New York after over a week in SF. I spent much of it in an Airbnb next to Mr. Pickle’s on Van Ness Avenue and then a few days crashing at a fellow tech reporter’s apartment in the Outer Richmond. I ate Mission Chinese and La Taqueria, drank at Brass Tacks and The Monk’s Kettle, and made it up to Calistoga for a picturesque vineyard wedding.But did I spend any time working for you, dear reader? Yes, not to worry. I spent my days shuttling from South Park to the Presidio, catching up with venture capitalists, founders, tech media insiders, and senior tech executives. And I spent my nights getting drunk with them, eager for looser lips.Here are my key immediate takeaways:One source told me that even Insight Partners — which announced a $20 billion fund in February — has decided to seriously slow down big late stage private investments. Until recently, Insight looked like one of the last holdouts when it came to doing late stage deals even as the market unraveled. But now, like pretty much everyone else, it’s mostly focused on its existing portfolio.VC advice on the downturn — even Sequoia Capital’s presentation to founders — has felt too much like content marketing. For some startup CEOs it can feel a bit like you’re the goody two-shoes, “A” student in the classroom, when the teacher reprimands everyone. You think the rebuke applies to you, but really the message is meant for the troublemakers. But it’s the most diligent among us that take these admonitions personally. Founders need advice specific to their company. There’s a sense that there have been many software engineers who have been overpromoted in the bull cycle and that this downturn could force some coders to reset their expectations about their appropriate rank and pay.I spent much of my time asking sources what the overarching, thematic story of the downturn would be. One venture capitalist gave me my favorite answer: He argued that we’d look back on this downturn as a story of the perfect storm between retail and professional investor excesses. On the retail side, we saw the rise of Robinhood and Coinbase, and r/wallstreetbets trades on Kodak and GameStop. On the professional side, we saw firms like SoftBank and Tiger go so, so long without enough diligence to back it up.If I had to name a couple companies/firms that I think are most likely to represent this downturn, right now I’d name Instacart, Coinbase, Robinhood, GoPuff, Bird, Tesla, Tiger, and SoftBank. Though, right now, I think increasingly crypto is looking like it will be the category most associated with this cycle’s excesses.There’s been a lot of envy in traditional startup world of people who went over to the the crypto dark side. Now there’s all sorts of schadenfreude going on as crypto prices plummet. Some VCs are starting to admit (mostly in private) that they never really believed in crypto. Still, there’s so much money. Just as I was leaving the city, Coinbase announced that it was brutally laying off 18% of its staff, locking them out of their emails before they even had time to say goodbye.We’re overdue for a reckoning over who screwed over credulous investors with implausible SPAC deals. ~cough~ Chamath ~ cough ~ At least, Brad Gerstner’s Altimeter led the PIPE on its own terrible Grab SPAC deal. Andreessen Horowitz still remains, probably, the biggest nemesis of many firms in Silicon Valley. Sure, Tiger blew up the startup world. But what Tiger did was so unlike anything venture capital firms were doing, so there’s less professional jealousy. There are whispers that things aren’t as copacetic internally at a16z as might appear from their highly choreographed public communications. It would seem that part of the explanation for the explosion of funds at the firm has been the explosion of egos. Instead of resolving interpersonal conflicts on the consumer fund, let’s just create a gaming fund. In that light, it’s pretty amazing that the firm couldn’t figure out a way to keep Katie Haun. Consumer investing across the board seems challenged. What’s going on over at Popshop, Lunchclub, Cameo, and Clubhouse just to name a few? I guess investors simply wishing consumer investing into being without a strong new thesis wasn’t exactly an omen for the sector’s inevitable success. (I will say that Whatnot and BeReal remain two consumer plays that I’m still following.) What will it mean for this generation of consumer investors? Benchmark’s next generation consumer investor, Sarah Tavel, seems to have made her best investment in business-to-business company Chainalysis, last valued at $8.6 billion. Speaking of Benchmark, the firm deserves some credit for holding firm on its strategy as other venture firms’ fund sizes got crazy. Sure, Benchmark probably could have made way more money if it topped up its own investments — but then it might be taking the heat that Benchmark favorite Altimeter is getting right now over its overexuberance. There’s money and reputation to manage. Benchmark has always made enough money to value its reputation. (That’s something Travis Kalanick, Adam Neumann, Nirav Tolia, etc. surely gripe about.)Last year’s hype around venture capital firms indefinitely holding onto private companies long after they go public is looking like pure bubble thinking. Sequoia’s timing on its all-in-one, hold indefinitely “The Sequoia Capital Fund” looks a little more like one of the excesses from the bull market. But limited partners seem too afraid to do anything to unwind the strategy shift that seems designed to enrich the firm’s general partners. (Reach out to me if you have off-the-record intel on this.)Investors are dramatically slowing the pace of their investments. These funds are going to last years longer than they would have in bull times. Multi-stage investors seem more inclined to double-down on their existing portfolio companies than to make new bets. Bridge rounds are on everyone’s lips. Still, I heard from investors who had made secret Series B and C investments in companies this year. It’s a good time to make a bet on a company that got away for a hype-y Series A round.Startup founders think prospective employees want assurances that their company is really worth what the company says it is. Good private unicorns are in a bit of a bind. Prospective employees are now automatically giving their equity offers a mental haircut based on the market downturn. So good companies have an incentive to reaffirm their valuations with funding rounds during the downturn — even if it otherwise might be smarter to keep their valuations artificially low so as to maintain room to grow should conditions worsen. (I wish employees would get better at assessing companies based on fundamentals, rather than the last tick fundraising round. Employees are basically begging founders to maximize for valuation, which then minimizes employee upside.)Some small-to-medium sized companies are shopping themselves to their rival startups but it’s not always clear why the competitor would want to buy. Why take on additional burn and headcount when all you might end up getting is leads on some new customers? Sure, you might do some venture capital firm a favor, but what’s that really worth?There are some cracks in up-start media world. The most obvious tremor is at BuzzFeed where the stock has sunk 54% in a month. Reporters have been leaving in droves. Meanwhile, The Information lost one of its top editors — Martin Peers. He’s long been a central figure over there. The Information’s up-and-coming venture capital reporter Berber Jin departed to the Wall Street Journal, as did Sarah Krouse who will be covering Netflix for the Journal. Stephen Nellis returned to Reuters. Meanwhile spirits seem strong at my former employer, Bloomberg. The ascendance of the player-coach editor seems to have people upbeat. Sarah Frier is leading big tech coverage and Lucas Shaw (who has been a guest on Dead Cat) is running the show on Hollywood coverage. And somehow Bloomberg just lured back a former star reporter who had left to join the startup ranks: Alex Barinka — who left Bloomberg as a deals reporter to help launch Imran Khan’s Verishop before going over to Stitch Fix — is joining Frier’s team as a social media reporter based in LA. Next week I’m in Toronto for Collision where I’ll be interviewing Uncork Capital’s Andy McLoughlin, Real Ventures’ Janet Bannister, and Left Lane Capital’s Vinny Pujji on a panel Wednesday called “Survival of the leanest: The importance of being capital efficient.” Then, less than an hour later I’ll interview General Catalyst’s Hemant Taneja about responsible innovation. On Thursday, I’ll ask “Has the tech bubble burst... again?!” in a panel with FirstMark’s Matt Turck, Lux’s Deena Shakir, and Neo Financial’s Andrew Chau. Expect the most interesting tidbits in this newsletter late next week.Talking about Chesa Boudin on Dead CatMy first meeting in San Francisco started with a tour of The San Francisco Standard, the Michael Moritz-funded local news enterprise. My old editor Jonathan Weber — once the editor of tech media dot-com icon The Industry Standard — is the editor-in-chief over at the SF Standard. Weber, Dead Cat co-host Tom Dotan, and I met up for a nice dinner at The Morris in the Mission. After spending the evening discussing San Francisco District Attorney Chesa Boudin’s recall, Tom and I convinced Weber to come on the Dead Cat podcast and talk about the Standard and San Francisco politics.Tom thinks I’m going to get eviscerated by San Franciscans for my politics. This is something we’ve never seen before: a New Yorker opining on San Francisco local affairs. I did my best to offend conservatives and liberals alike, maligning the police while rooting for tech’s ascendant influence on San Francisco politics. Weber makes the case for objective, follow-the-reporting local news and outlines the real issues underpinning the recall. He explains how money is simultaneously to blame and not to blame for Boudin’s recall. And he defends the Standard against its critics for its influential story on Boudin’s refusal to make drug arrests. We interrogate what Boudin’s defeat means for the future of progressive politics and the city of San Francisco.Give it a listen.Read the automated transcript. Get full access to Newcomer at www.newcomer.co/subscribe
I moved from San Francisco to New York, in February 2019, back before it was cool to turn tail on the tech mecca. Truth be told, I'll always have a special place in my heart for San Francisco, but my girlfriend beckoned from Brooklyn.I'm writing this from my flight back to New York after over a week in SF. I spent much of it in an Airbnb next to Mr. Pickle's on Van Ness Avenue and then a few days crashing at a fellow tech reporter's apartment in the Outer Richmond. I ate Mission Chinese and La Taqueria, drank at Brass Tacks and The Monk's Kettle, and made it up to Calistoga for a picturesque vineyard wedding.But did I spend any time working for you, dear reader? Yes, not to worry. I spent my days shuttling from South Park to the Presidio, catching up with venture capitalists, founders, tech media insiders, and senior tech executives. And I spent my nights getting drunk with them, eager for looser lips.Here are my key immediate takeaways:One source told me that even Insight Partners — which announced a $20 billion fund in February — has decided to seriously slow down big late stage private investments. Until recently, Insight looked like one of the last holdouts when it came to doing late stage deals even as the market unraveled. But now, like pretty much everyone else, it's mostly focused on its existing portfolio.VC advice on the downturn — even Sequoia Capital's presentation to founders — has felt too much like content marketing. For some startup CEOs it can feel a bit like you're the goody two-shoes, “A” student in the classroom, when the teacher reprimands everyone. You think the rebuke applies to you, but really the message is meant for the troublemakers. But it's the most diligent among us that take these admonitions personally. Founders need advice specific to their company. There's a sense that there have been many software engineers who have been overpromoted in the bull cycle and that this downturn could force some coders to reset their expectations about their appropriate rank and pay.I spent much of my time asking sources what the overarching, thematic story of the downturn would be. One venture capitalist gave me my favorite answer: He argued that we'd look back on this downturn as a story of the perfect storm between retail and professional investor excesses. On the retail side, we saw the rise of Robinhood and Coinbase, and r/wallstreetbets trades on Kodak and GameStop. On the professional side, we saw firms like SoftBank and Tiger go so, so long without enough diligence to back it up.If I had to name a couple companies/firms that I think are most likely to represent this downturn, right now I'd name Instacart, Coinbase, Robinhood, GoPuff, Bird, Tesla, Tiger, and SoftBank. Though, right now, I think increasingly crypto is looking like it will be the category most associated with this cycle's excesses.There's been a lot of envy in traditional startup world of people who went over to the the crypto dark side. Now there's all sorts of schadenfreude going on as crypto prices plummet. Some VCs are starting to admit (mostly in private) that they never really believed in crypto. Still, there's so much money. Just as I was leaving the city, Coinbase announced that it was brutally laying off 18% of its staff, locking them out of their emails before they even had time to say goodbye.We're overdue for a reckoning over who screwed over credulous investors with implausible SPAC deals. ~cough~ Chamath ~ cough ~ At least, Brad Gerstner's Altimeter led the PIPE on its own terrible Grab SPAC deal. Andreessen Horowitz still remains, probably, the biggest nemesis of many firms in Silicon Valley. Sure, Tiger blew up the startup world. But what Tiger did was so unlike anything venture capital firms were doing, so there's less professional jealousy. There are whispers that things aren't as copacetic internally at a16z as might appear from their highly choreographed public communications. It would seem that part of the explanation for the explosion of funds at the firm has been the explosion of egos. Instead of resolving interpersonal conflicts on the consumer fund, let's just create a gaming fund. In that light, it's pretty amazing that the firm couldn't figure out a way to keep Katie Haun. Consumer investing across the board seems challenged. What's going on over at Popshop, Lunchclub, Cameo, and Clubhouse just to name a few? I guess investors simply wishing consumer investing into being without a strong new thesis wasn't exactly an omen for the sector's inevitable success. (I will say that Whatnot and BeReal remain two consumer plays that I'm still following.) What will it mean for this generation of consumer investors? Benchmark's next generation consumer investor, Sarah Tavel, seems to have made her best investment in business-to-business company Chainalysis, last valued at $8.6 billion. Speaking of Benchmark, the firm deserves some credit for holding firm on its strategy as other venture firms' fund sizes got crazy. Sure, Benchmark probably could have made way more money if it topped up its own investments — but then it might be taking the heat that Benchmark favorite Altimeter is getting right now over its overexuberance. There's money and reputation to manage. Benchmark has always made enough money to value its reputation. (That's something Travis Kalanick, Adam Neumann, Nirav Tolia, etc. surely gripe about.)Last year's hype around venture capital firms indefinitely holding onto private companies long after they go public is looking like pure bubble thinking. Sequoia's timing on its all-in-one, hold indefinitely “The Sequoia Capital Fund” looks a little more like one of the excesses from the bull market. But limited partners seem too afraid to do anything to unwind the strategy shift that seems designed to enrich the firm's general partners. (Reach out to me if you have off-the-record intel on this.)Investors are dramatically slowing the pace of their investments. These funds are going to last years longer than they would have in bull times. Multi-stage investors seem more inclined to double-down on their existing portfolio companies than to make new bets. Bridge rounds are on everyone's lips. Still, I heard from investors who had made secret Series B and C investments in companies this year. It's a good time to make a bet on a company that got away for a hype-y Series A round.Startup founders think prospective employees want assurances that their company is really worth what the company says it is. Good private unicorns are in a bit of a bind. Prospective employees are now automatically giving their equity offers a mental haircut based on the market downturn. So good companies have an incentive to reaffirm their valuations with funding rounds during the downturn — even if it otherwise might be smarter to keep their valuations artificially low so as to maintain room to grow should conditions worsen. (I wish employees would get better at assessing companies based on fundamentals, rather than the last tick fundraising round. Employees are basically begging founders to maximize for valuation, which then minimizes employee upside.)Some small-to-medium sized companies are shopping themselves to their rival startups but it's not always clear why the competitor would want to buy. Why take on additional burn and headcount when all you might end up getting is leads on some new customers? Sure, you might do some venture capital firm a favor, but what's that really worth?There are some cracks in up-start media world. The most obvious tremor is at BuzzFeed where the stock has sunk 54% in a month. Reporters have been leaving in droves. Meanwhile, The Information lost one of its top editors — Martin Peers. He's long been a central figure over there. The Information's up-and-coming venture capital reporter Berber Jin departed to the Wall Street Journal, as did Sarah Krouse who will be covering Netflix for the Journal. Stephen Nellis returned to Reuters. Meanwhile spirits seem strong at my former employer, Bloomberg. The ascendance of the player-coach editor seems to have people upbeat. Sarah Frier is leading big tech coverage and Lucas Shaw (who has been a guest on Dead Cat) is running the show on Hollywood coverage. And somehow Bloomberg just lured back a former star reporter who had left to join the startup ranks: Alex Barinka — who left Bloomberg as a deals reporter to help launch Imran Khan's Verishop before going over to Stitch Fix — is joining Frier's team as a social media reporter based in LA. Next week I'm in Toronto for Collision where I'll be interviewing Uncork Capital's Andy McLoughlin, Real Ventures' Janet Bannister, and Left Lane Capital's Vinny Pujji on a panel Wednesday called “Survival of the leanest: The importance of being capital efficient.” Then, less than an hour later I'll interview General Catalyst's Hemant Taneja about responsible innovation. On Thursday, I'll ask “Has the tech bubble burst... again?!” in a panel with FirstMark's Matt Turck, Lux's Deena Shakir, and Neo Financial's Andrew Chau. Expect the most interesting tidbits in this newsletter late next week.Talking about Chesa Boudin on Dead CatMy first meeting in San Francisco started with a tour of The San Francisco Standard, the Michael Moritz-funded local news enterprise. My old editor Jonathan Weber — once the editor of tech media dot-com icon The Industry Standard — is the editor-in-chief over at the SF Standard. Weber, Dead Cat co-host Tom Dotan, and I met up for a nice dinner at The Morris in the Mission. After spending the evening discussing San Francisco District Attorney Chesa Boudin's recall, Tom and I convinced Weber to come on the Dead Cat podcast and talk about the Standard and San Francisco politics.Tom thinks I'm going to get eviscerated by San Franciscans for my politics. This is something we've never seen before: a New Yorker opining on San Francisco local affairs. I did my best to offend conservatives and liberals alike, maligning the police while rooting for tech's ascendant influence on San Francisco politics. Weber makes the case for objective, follow-the-reporting local news and outlines the real issues underpinning the recall. He explains how money is simultaneously to blame and not to blame for Boudin's recall. And he defends the Standard against its critics for its influential story on Boudin's refusal to make drug arrests. We interrogate what Boudin's defeat means for the future of progressive politics and the city of San Francisco.Give it a listen.Read the automated transcript. Get full access to Newcomer at www.newcomer.co/subscribe
The modern data stack is often defined by the type of technologies that exist within it. Cloud-based, open source, low/no code tools, ELT, and reverse ETL. But surely there's more to it… isn't there? What holds the modern data stack together and makes it the architecture of choice for so many data-driven enterprises? Join Tim, Juan and special guest, Nick Schrock, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS. This episode will feature: Is modern data stack a methodology or a set of disparate cloud technologies? Thoughts on consolidation among MDS tools Describe your reaction upon glancing at Matt Turck's latest data landscape diagram
Matt and Joe review amazing Matt Turck's 2021 Machine Learning, AI and Data (MAD) Landscape. They discuss the article and their thoughts on how this affects data engineers in 2021 and beyond. Article: https://mattturck.com/data2021/ Streamed live on LinkedIn and YouTube #data #dataengineering #machinelearning --------------------------------- TERNARY DATA We are Matt and Joe, and we're "recovering data scientists". Together, we run a data architecture company called Ternary Data. Ternary Data is not your typical data consultancy. Get no-nonsense, no BS data engineering strategy, coaching, and advice. Trusted by great companies, both huge and small. Ternary Data Site - https://ternarydata.com LinkedIn - https://www.linkedin.com/company/ternary-data/ YouTube - https://www.youtube.com/channel/UC3H60XHMp6BrUzR5eUZDyZg
Did a decade of OpenStack deliver the cloud environment everybody flocks too? Not really.... Fortunately, Matt Turck saves the episode, if not the year, with his 2020 Data and AI landscape poster! OpenStack, the little tech that couldn't? Ten years ago, the new cloud craze called OpenStack hit the scene and they did so with a lot of noise. A decade later, what is left of this once darling of the hypervisor orchestration layer component technology? And yes, that convoluted phrase was written especially as a pun on the incredibly complex gaggle of projects that formed the "Open Stack" and just may have been it's downfall... Pretty visuals are pretty! Matt Turck is at it again and we are very grateful for this yearly graphic representation of the Data and AI landscape. We try to give his hard work a little bit of attention every year and here is the 2020 edition. Thanks Matt! Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.
Matt Turck est un des rares VC français à être Partner chez un fonds US : FirstMark Capital, le tout premier fonds à être rentré dans Pinterest, l'un des premiers fonds dans Shopify et plus récemment dans Dataiku qui est devenu une licorne tricolore depuis. On aborde plein de sujets inspirants : - Les investissements que Matt aime (B2B, Enterprise, Data) : Sketchfab, Ledger, Dataiku dans son portefeuille. - Les nouvelles catégories à suivre dans la data après les succès de UiPath ou Automation Anywhere. - Pourquoi toutes les sociétés deviennent des sociétés de data et comment cela est devenu une réalité au cours des dernières années. - On parle des opportunités pour les startups dans la data, des applications horizontales (Dataiku) versus verticales (Cardiologs). - Comment Matt analyse un dossier early stage : « Art versus Science » dans la levée de fonds "Quand je réfléchis aux pitchs qui m'ont impressionné dès le début, c'est la clarté dans l'élocution, la vision, la pensée ("clarity of thought"). Ce que je veux dire par là, c'est que sont des entrepreneurs qui ont un peu réfléchi à tout. Sentiment très immédiat qu'il y a eu une réflexion sur tous les sujets. Sur un sujet technique, tu n'en sauras jamais plus que l'entrepreneur sur ses sujets." - On revient sur le financement de Dataiku lors de la Series A en 2016, depuis c'est devenu une licorne ! - Pourquoi c'est parfois un avantage de construire sa boîte SaaS en France plutôt qu'aux US. - On parle du bon moment pour une boîte européenne pour aller aux US : Matt donne ses conseils sur le sujet et nous donne des détails concrets via l'exemple de Dataiku. - New York comme nouveau hub startups et Matt explique pourquoi.
We'd rate this one 5 stars: on this episode we're sitting down with the authentic, creative, and hysterical founders of The Infatuation, Chris Stang and Andrew Steinthal, for a masterclass on entrepreneurship. We learn what it takes to build a business like theirs, how they decided to become co-founders, and what growth looks like while staying true to your mission and values. The duo shares why they're becoming known in the ad industry more for the things they won't do, what it means to have good taste, how they got lucky and why they think they'll become the default for restaurant recommendations (and more?). Plus, the latest on EEEEEATSCON (LA, May 18-19) and developing their first original podcast. This episode also marks a defining moment for the show - it's our last episode produced by our friends at Megaphone, fka Panoply. We're indebted to Jacob Weisberg, Matt Turck and Andy Bowers for giving us the opportunity to create this show and give a voice to a like-minded (advertising) community of practitioners who are also innovators, thought leaders, creators, disruptors, and more. Thank you to our Panoply colleagues and producers Laura Mayer, Cameron Drews, Laura Morris & Dana Bialek (dana.bialek@gmail.com) who helped us execute our vision. And a huge thanks to you, our listeners, who have urged us on (and the ad industry!) while joining in on the head nods and wtf's. While this is our last episode at Panoply, it is the beginning of what's next for ADLANDIA. Stay tuned to our Twitter account, @adlandiapodcast, for updates on what we're up to and where we're headed. We'll talk to you soon, ADLANDIA. - L & A
Will Artificial Intelligence lead to a third world war? Can Big Data cure cancer? Co-hosts Andrew Weinreich and Jeremy Levy learn the answers to these questions in an interview with Matt Turck, Managing Director at FirstMark Capital, who invests in Big Data, Artificial Intelligence, and Machine Learning startups. Matt also runs monthly events, Data Driven NYC and Hardwired NYC. This episode was produced and edited by Lauren Feiner and Esmeralda Martinez. Our music is "Is That You Or Are You You" by Chris Zabriskie. This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more. Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2 Read more about the podcast and Matt Turck at decidingbydata.com. Follow us on Twitter @decidingbydata
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Dennis Mortensen is the CEO and Founder of X.ai, the artificial intelligence driven personal assistant that lets people schedule meetings using plain English and nothing more than a CC to amy@x.ai. Their female persona Amy is so lifelike that users have asked her on a date at a rate of one request per month! X.ai is now one of the best funded AI startups having raised over $30m from our friends at FirstMark and DCM and a big thanks to Matt Turck for making the intro and from DCM, who also helped us with some of the questions for Dennis! In Today’s Episode You Will Learn: 1.) How Dennis came to found one of the leading AI startups today with X.ai? 2.) Why is product market fit like porn? How does this analogy affect Dennis' evaluation of product market fit? 3.) What are the fundamental features required to turn a single user consumer product into an enterprise product? How should that transition be managed? 4.) Is Dennis concerned by large incumbents making their entrance into the world of more traditional enterprise companies with the likes of GSuite and Facebook for Work? 5.) How did Dennis evaluate the right pricing method for X.ai? What pricing mechanisms did he consider? What does Dennis believe is the future of enterprise pricing? Items Mentioned In Today’s Show: Dennis' Fave Book: Shoe Dog Dennis' Fave Blog or Newsletter: Azeem Azhar: The Exponential View As always you can follow Harry, The Twenty Minute VC and Dennis on Twitter here! Likewise, you can follow Harry on Snapchat here for mojito madness and all things 20VC. X.ai is AI-poweredered personal assistant for scheduling meetings bringing you Amy or Andrew. The assistant you interact with like you would to any other person and it allows you to avoid the tedious hours of email ping pong in order to schedule one meeting. Even better, there is no sign in, no password, no download, all you do is cc amy@x.ai beautiful! And you can check it out now on x.ai it really is a must! Workable is the all-in-one recruiting software for ambitious companies. From posting a job to tracking and managing candidates, Workable provides everything you need to hire better. Transparent communication, organized candidate profiles, structured interviews and a full reporting suite gives hiring teams the information they need to make the best choice. Workable is available for desktop and mobile and you can find out more on workable.com where you can try it for free.
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Dennis Mortensen is the CEO and Founder of X.ai, the artificial intelligence driven personal assistant that lets people schedule meetings using plain English and nothing more than a CC to amy@x.ai. Their female persona Amy is so lifelike that users have asked her on a date at a rate of one request per month! X.ai is now one of the best funded AI startups having raised over $30m from our friends at FirstMark and a big thanks to Matt Turck for making the intro and from DCM, who also helped us with some of the questions for Dennis! In Today’s Episode You Will Learn: 1.) How Dennis came to found X.ai and what the a-ha moment was for him? 2.) What did the training look like for X.ai? How long did it take? How much data did you have to painstakingly annotate? What is more important; data or algorithms? 3.) Many VCs are concerned about large incumbents having proprietary data sets. Does this concern Dennis and what can be done to mitigate this 4.) Question from David Cheg @ DCM: How will AI startups interact with giant corporates also investing heavily in AI research? 5.) How was the fundraising journey for Dennis? How did he approach it strategically? What challenges did he face? How did he go about choosing his investors? Items Mentioned In Today’s Episode: Dennis’ Fave Book: How To Get Rich by Felix Dennis Dennis’ Fave Blog: Wait But Why As always you can follow The Twenty Minute VC, Harry and Dennis on Twitter here! If you would like to see a more colourful side to Harry with many a mojito session, you can follow him on Instagram here! If you are looking to make your move into the world of VC or improve your investing skills, Venture Capital Unlocked: Secrets of Silicon Valley Investing is a must! It is a 2 week crash course at Stanford run by Stanford Professional Development Centre and 500 Startups. You will learn the mechanics of all things Silicon Valley investing, check it out here. The Twenty Minute VC is brought to you by Leesa. Lees is like the TOMS Shoes or Warby Parker of the mattress industry. Here are 3 reasons why they are the best place to get your new mattress: Leesa has done away with the awkward mattress showroom experience by allowing a fully online experience, shipping to your doorstep for free. Their 10 inch mattresses come in all sizes and is crafted with 3 unique layers o foam including2 inches of memory foam and 2 inches of really cool latex like foam design to keep you cool. All Leesa mattresses are made 100% in the US or UK and they give you a 100 night trial, to make sure the mattress is perfect for you. Go to leesa.com/VC and enter promo code VC75 to get $75 off!
Do you need money? Want to buy or sell an internet of things startup? Then this week’s interview is must-listen stuff. Matt Turck, of FirstMark Capital came on the show to give some advice to those seeking financing, discuss the overall funding landscape and try to pinpoint where the next big exits are going to … Continue reading Episode 64: How a VC views the internet of things
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Matt Turck is Managing Director of FirstMark Capital where he invests across a broad range of early-stage enterprise and consumer startups. Prior to FirstMark, he was a Managing Director at Bloomberg Ventures, the investment and incubation arm of Bloomberg LP. Previously, Matt was the co-founder of TripleHop Technologies, a venture-backed enterprise search software startup that was acquired by Oracle. Matt organizes two large monthly events, Data Driven NYC (focuses on Big Data and AI) and Hardwired NYC(focuses on IOT, AR/VR, drones). At Firstmark, Matt has made investments in the likes of Sketchfab, Sense 360 and the much loved X.ai with Amy Ingram as your personal secretary. In Today’s Episode You Will Learn: 1.) How did Matt make his way into the world of VC? 2.) What does big data really mean? With the cool kids in the data world moving on to obsessing over AI, is big data still a ‘thing’ in 2016? 3.) Why is now the time for big data? What has enabled big data to have sudden mass utility across a variety of applications? 4.) How does Matt view the integration of big data and AI? Is AI helping big data deliver it’s promise? 5.) How can we combat the incumbency advantage of large companies owning the majority of datasets? How can startups access similar datasets? Items Mentioned In Today’s Episode: Matt’s Fave Blog: AVC, Chris Dixon, Brad Feld, Wait But Why Matt’s Most Recent Investment: Hyperscience As always you can follow The Twenty Minute VC, Harry and Matt on Twitter here! If you would like to see a more colourful side to Harry with many a mojito session, you can follow him on Instagram here! The Twenty Minute VC is brought to you by Leesa, the Warby Parker or TOMS shoes of the mattress industry. Lees have done away with the terrible mattress showroom buying experience by creating a luxury premium foam mattress that is order completely online and ships for free to your doorstep. The 10 inch mattress comes in all sizes and is engineered with 3 unique foam layers for a universal, adaptive feel, including 2 inches of memory foam and 2 inches of a really cool latex foam called Avena, design to keep you cool. All Leesa mattresses are 100% US or UK made and for every 10 mattresses they sell, they donate one to a shelter. Go to Leesa.com/VC and enter the promo code VC75 to get $75 off!
Peter Fenton, General Partner at Benchmark, spoke at FirstMark's Data Driven NYC on March 16, 2016. In a fireside chat with FirstMark's Matt Turck, Fenton discussed the attributes he looks for in entrepreneurs and the current funding landscape for startups. Benchmark focuses on early-stage venture investing in mobile, marketplaces, social, and infrastructure and enterprise software. Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark. FirstMark is an early stage venture capital firm based in New York City. Find out more about Data Driven NYC at http://datadrivennyc.com and FirstMark Capital at http://firstmarkcap.com.
Jens Christensen, Founder and CEO at Jaunt, spoke at FirstMark Capital's Hardwired NYC on March 8, 2016. He discussed the future of both VR content creation and delivery. Jaunt is developing the hardware, software, tools, and applications to enable cinematic VR and put the power of virtual reality in the hands of today’s best content creators. Jaunt’s proprietary algorithms for complex computational photography allow content producers to create incredible immersive cinematic VR experiences using existing production software. FirstMark Capital is an early stage venture capital firm based in New York City. Hardwired NYC is a monthly event in New York covering the intersection of hardware and software (Internet of Things, 3D printing, robotics, etc.), hosted by Matt Turck, partner at FirstMark Capital. Learn more at http://hardwirednyc.com/ and http://firstmarkcap.com/.
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