Podcasts about memsql

Nikita Shamgunov is the founder of Neon, an open-source serverless Postgres company. Before Neon, Nikita co-founded MemSQL, now SingleStore, which is valued at over a billion dollars. He has also worked as a VC at Khosla Ventures and held engineering roles at Meta and Microsoft. Nikita is known for his strategic thinking and transparency about his decision-making process.We discuss:The importance of storytelling and providing a clear narrative for your companyWhen to introduce a sales team and how to build a sales and marketing "machine"Pricing strategies, including pricing for storage and compute in the data and analytics spaceThe evolution of revenue models in DevTools: from selling seats and storage/compute to selling tokensLessons learned from hiring MongoDB's VP of Engineering, focusing on improving reliability and building strong team management processesThe benefits of using a high-quality recruiting firm and avoiding the pitfalls of bad hiresBalancing competitiveness with respect for competitors to maintain credibility, particularly in the developer tools marketThe idea of “developing your taste” in product development, inspired by Guillermo Rauch from VercelHow modern dev tools can monetize through seats, storage/compute, or tokens, with tokens currently being the most profitableWhy Nikita advises DevTools founders to understand the business model framework and align it with their strategyThis episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs. Links:NeonSingleStore Khosla Ventures Fusion Talent 

Get Attio, the next generation of CRM: https://bit.ly/AttioThePeel Ankur Goyal is the Founder and CEO of Braintrust, the end to end developer platform for building the world's best AI products. Their customers include companies like Instacart, Zapier, Notion, Airtable, Replit, and more. We hit on the importance of LLM evals, advice for building AI products, why the best companies have two AI product roadmaps, and his non-conventional advice for founders. Timestamps: (00:00) Intro (04:04) Why everyone's now an AI company (06:03) Reasons LLM evals are so important (08:10) Typescript becoming the language of AI (09:19) Replacing vibe checks with Braintrust (10:37) Making OpenAI's protocols the standard (11:27) Why the best companies have two AI roadmaps (13:06) Building your product so each LLM release makes it better (14:54) Predicting AGI is impossible (15:54) Why people who work with LLMs aren't worried about AI safety (16:52) The best developers are all-in on co-pilots (18:11) How AI is changing software development (21:09) Combining IDE, CIDC, and observability in one product (27:18) Are models more like CPU's or relational databases? (30:14) How to pick an LLM (33:00) Advice for staying on top of new AI developments (34:30) Why tool calling is so important (38:02) Advice for young software engineers (40:25) Learning to code doing linear algebra homework (42:36) Lack of purpose interning in big tech (44:07) Working at MemSQL learning to be a founder (47:52) How to get a job at a startup (50:43) Building his first startups product on an international flight (52:39) Three lessons from his first failed startup (54:46) Don't delegate what you're good at (55:46) Why you should be careful listening to VCs advice (57:34) Tactics for successful delegation (59:36) Why Ankur doesn't do any meetings (01:02:42) The importance of self-service in unlocking certain customer segments (01:05:14) How Braintrust got started (01:07:45) Advice on picking your target customers (01:10:35) How Braintrust hires with work trials (01:15:21) Balancing security with a modern UI (01:17:49) Why it's hard to sell non-AI products right now (01:19:21) Advice for selling to large enterprises (01:23:10) Ankur's favorite AI products Referenced: https://www.braintrustdata.com/ SICP Book PDF: https://web.mit.edu/6.001/6.037/sicp.pdf Hardcopy: https://www.amazon.com/Structure-Interpretation-Computer-Programs-Engineering/dp/0262510871 Linear's guide to work trials: https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Where to find Ankur: Twitter: https://twitter.com/ankrgyl LinkedIn: https://www.linkedin.com/in/ankrgyl/ Where to find Turner: Twitter: https://twitter.com/TurnerNovak LinkedIn: https://www.linkedin.com/in/turnernovak/ Newsletter: https://www.thespl.it/

Have you ever paused to consider the rapidly evolving landscape of database technology, especially in the era of cloud computing and serverless architectures? Today's Tech Talks Daily Podcast episode welcomes a visionary in this domain, Nikita Shamgunov, the CEO and Founder of Neon. This pioneering startup is not just altering the Postgres database scene; it's revolutionizing it with serverless capabilities, a transformative step that recently attracted a staggering $40M investment, pushing their total funding to an impressive $100M. Our journey today with Nikita isn't just about numbers and investments. It's a narrative of innovation, determination, and foresight. Before Neon, Nikita laid the foundation of MemSQL (now SingleStore), where he honed his skills as both CTO and CEO. His journey is a remarkable tale, spanning from the learning grounds of a Facebook boot camp to the competitive arena of Silicon Valley, a testament to what vision and perseverance can achieve. In our conversation, Nikita delves into the essence of Neon's innovative architecture. What sets Neon apart is not just its serverless multi-cloud Postgres databases but its ability to simplify complex database functionalities into a straightforward URL. This simplicity is a beacon of hope in an otherwise complex technological landscape. Neon's story is compelling, especially considering its inception only in 2021. Yet, it has redefined what a database provider should be in this short span. With automated management of clusters, storage, and compute functions, Neon offers fresh air in database management. Its generous free tier and scale-to-zero pricing are not just attractive features; they represent a commitment to accessibility and efficiency. The addition of database branching, allowing for instantaneous replication of any database at any point in its lifecycle, positions Neon as a frontrunner for modern development workflows. As we delve into these topics, we also touch upon the broader implications of Postgres in the era of AI and machine learning and how early-stage companies can harness the power of open-source databases. So, what does the future hold for Postgres and serverless databases? Join us in this enlightening conversation with Nikita Shamgunov and discover Neon's potential to reshape this landscape. And remember to share your thoughts: How do you see the role of databases evolving in the future of technology and business?

In this podcast episode, Multimedia Editor Jakub Lewkowicz talks about the evolution of database tech. His guest is Adam Prout, co-founder, and CTO behind SingleStore, previously known as MemSQL. 

Je suis très heureux de te retrouver pour cette 24e édition de ₿eatmarket parmi les 26.254 investisseurs du Club

Karl Jacob is a serial entrepreneur who has been building, advising, and investing in companies for the last 20 years. During his career, Karl has raised 23 rounds of financing from a wide range of investors, including True Ventures, Baseline Ventures, Richard Branson's Virgin Group, Microsoft, eBay, Integral Partners, Norwest Ventures, Greylock, Benchmark Capital, FT Ventures, Ignition Partners and Vulcan Ventures. Many of Karl's companies have been successfully acquired, including Dimension X, acquired by Microsoft; Keen/Ingenio, acquired by AT&T; Cloudmark, acquired by ProofPoint; and Coveroo, acquired by Zazzle. Across his various tenures as a start-up CEO, Karl has generated hundreds of millions of dollars in investor returns and up to $150 million in revenue per year. In 2005 he joined Facebook as one of its first advisors and has gone on to advise several other companies. Karl is also a prolific angel investor and mentor for start-up companies including Mayvenn, June, Healthtap, Everlane, Skillshare, Rescale, Memsql, Haven, Shippo and many others. He holds a B.S. in Computer Science from the University of Southern California's Engineering School, where he sits on its board of counselors.

SingleStore is a multi-use, multi-model database designed for transactional and analytic workloads, as well as search and other domain specific applications. SingleStore is the evolution of the database company MemSQL, which sought to bring fast, in-memory SQL database technology to market. Jordan Tigani is Chief Product Officer of SingleStore and joins the show to talk The post SingleStore with Jordan Tigani appeared first on Software Engineering Daily.

SingleStore is a multi-use, multi-model database designed for transactional and analytic workloads, as well as search and other domain specific applications. SingleStore is the evolution of the database company MemSQL, which sought to bring fast, in-memory SQL database technology to market. Jordan Tigani is Chief Product Officer of SingleStore and joins the show to talk The post SingleStore with Jordan Tigani appeared first on Software Engineering Daily.

SingleStore is a multi-use, multi-model database designed for transactional and analytic workloads, as well as search and other domain specific applications. SingleStore is the evolution of the database company MemSQL, which sought to bring fast, in-memory SQL database technology to market. Jordan Tigani is Chief Product Officer of SingleStore and joins the show to talk The post SingleStore with Jordan Tigani appeared first on Software Engineering Daily.

Special Episode - Best of 2020 Interviews with experts on digital transformation and what it takes to really move the needle in terms of innovation, impact and improvements to organizational performance. Bill Schaninger Senior Partner at McKinsey, futurist Olivier Blanchard, Mike Steep from Stanford University’s Disruptive Technology & Digital Cities Program, Raj Verma CEO at MemSQL, Andres Angelani, CEO of Cognizant Softvision, David Cote, former CEO of the industrial tech giant Honeywell, and Sinan Aral the David Austin Professor of Management at MIT, Director of the MIT Initiative on the Digital Economy. Host, Kevin Craine Do you want to be a guest? Do you want to be a sponsor?

Meet: Ankur Goyal is the co-founder and CEO of Impira. previously built and scaled the engineering team at MemSQL as employee #2 and VP of Engineering. Ankur received his B.S. in Computer Science at Carnegie Mellon's School of Computer Science. He also holds several patents in database technology. What you'll learn: Extracting more value out of documents Helping companies automate their paper processes to digital Getting an AI project into production and the related ROI Talking about a new feature that allows someone to extract information from any doc through the UI If you would like to reach out to Ankur about anything he discussed on the podcast, please reach out to him via: https://twitter.com/ankrgyl?lang=en https://twitter.com/impirahq https://www.linkedin.com/in/ankrgyl/

Guests: Paul Scott Murphy, WANdisco Eric Wright, Turbonomic Glenn Sullivan, Infoblox Sarbjeet Johal, Analyst Raj Verma, MemSQL

Raj Verma, co-CEO of MemSQL, discusses data and analytics strategies for a post-COVID business world. Raj has more than 25 years of global experience in enterprise software and operating at scale. He was instrumental in the growth of TIBCO software to over $1 billion in revenue, serving as CMO, EVP Global Sales, and COO, and has a lot of insights into topics including digital transformation, data management, and software.  Host, Kevin Craine Do you want to be a guest? Do you want to be a sponsor?

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.

Data and database technologies are experiencing disruption. The volume of data collected is exploding, creating new potential for disruptive services and new companies. Data is distributed across locations in the cloud and the data center. Also, cloud technologies bring a plethora of database types, distribution options, analytics capabilities, and AI/ML processing. Any company not leveraging data to the benefit of its customers and business are just asking to be the next victim of disruption. Nikita Shamgunov, memSQL Co-CEO / Co-Founder, joins DevOps Chat to discuss how these disruptive factors changed how containerized and cloud-native applications approach data collection and storage. Speed, high volume data collection, distributed design, and scale are all challenges Nikita sees as vital for cloud-native applications of today and the future.

Alexander Skidanov from NEAR Protocol joins us on Base Layer for a not to miss episode. NEAR is a scalable smart contract platform that supports decentralized applications of almost any kind. Alexander is a highly accomplished developer starting at Microsoft and became Engineer #1 at memSQL. We discuss what NEAR is building in relation to language type, sharding, consensus methodologies and much more. Do not miss this one!

One of the most complex aspects of managing data for analytical workloads is moving it from a transactional database into the data warehouse. What if you didn't have to do that at all? MemSQL is a distributed database built to support concurrent use by transactional, application oriented, and analytical, high volume, workloads on the same hardware. In this episode the CEO of MemSQL describes how the company and database got started, how it is architected for scale and speed, and how it is being used in production. This was a deep dive on how to build a successful company around a powerful platform, and how that platform simplifies operations for enterprise grade data management.

This week on the podcast we’re featuring a series of conversations from the AWS re:Invent conference in Las Vegas. I had a great time at this event getting caught up on the latest and greatest machine learning and AI products and services announced by AWS and its partners. In this episode, I’ll be speaking with Nikita Shamgunov, co-founder and CEO of MemSQL, a company offering a distributed, memory-optimized data warehouse of the same name. Nikita and I take a deep dive into some of the features of their recently released 6.0 version, which supports built-in vector operations like dot product and euclidean distance to enable machine learning use cases like real-time image recognition, visual search and predictive analytics for IoT. We also discuss how to architect enterprise machine learning solutions around the data warehouse by including components like data lakes and Spark. Finally, we touch on some of the performance advantages MemSQL has seen by implementing vector operations using Intel’s latest AVX2 and AVX512 instruction sets. Make sure you check out the show notes at twimlai.com/talk/84

Artificial intelligence is going to be part of every software workload in the not-too-distant future. Partnering with AWS, Intel is dedicated to bringing the best full-stack solutions to help solve business and societal problems by helping turn massive datasets into information. Thorn is a non-profit organization, co-founded by Ashton Kutcher, focused on using technology innovation to combat child sexual exploitation. It is using MemSQL to provide a new approach to machine learning and real-time image recognition by making use of the high-performance Intel SIMD vector dot product functionality. This session covers machine learning on Intel Xeon processor based platforms and features speakers from Intel, Thorn, and MemSQL. Session sponsored by Intel

Eric Frenkiel, co-founder and CEO of MemSQL, discusses his journey from pre-IPO Facebook to YCombinator to a thriving In-Memory database company that has successfully navigated a fat startup path.

Kent Goldman is the Founder of Upside Partnership, one of the leading seed-stage investment firms in SF with investments in the likes of Laurel and Wolf, Digit and Lily. In 2015, he was named to the Midas Brink List. Prior to forming Upside Partnership in 2014, Kent was a Partner at seed investment pioneer First Round Capital. While there he led investments in companies including Airware, Hotel Tonight, and MemSQL. He also served on the board of Mashery (acquired by Intel). Earlier in his career, Kent was a member of Yahoo!’s corporate development team and also led business strategy for Yahoo! products generating $1 billion in annual revenue.   In Today’s Episode You Will Learn: 1.) How Kent made his way into the world of early stage investing and came to found Upside? 2.) What were the big takeaways from First Round for Kent? How has he applied those learnings to his formation of Upside? 3.) What does Kent look for in the LPs that invest in his fund? Why should founders look to learn which LPs are invested in the fund investing in them? 4.) How has Kent seen his investment decision-making process alter with time? What have been the big changes? 5.) Why does Kent believe valuation does not matter so much at the seed stage? What does really matter to him at the seed stage? How does this progress with rounds? Items Mentioned In Today’s Show: Kent’s Fave Blog: Howards Marks: Oaktree Capital Kent’s Fave Book: A River Runs Through It And Other Stories Kent’s Most Recent Investment: Live Neighborly As always you can follow Harry, The Twenty Minute VC and Kent on Twitter here! Likewise, you can follow Harry on Snapchat here for mojito madness and all things 20VC. Pearl believes the latest automotive technology should be available to every driver – whether it’s time for you to buy a new car or not. RearVision is our first step in driving this commitment forward. Pearl RearVision is the only wireless backup camera and alert system that installs in minutes and updates throughout its lifetime. Pearl literally takes less than 10minutes to install and is completely wireless because it’s solar powered. Since RearVision is software based, we’re able to push updates and new features over the Pearl App in the exact same way you receive updates for other apps on your phone. Pearl RearVision is perfect for anyone who wants to upgrade their car in minutes. Pearl RearVision is $499.99 and available at PearlAuto.com. It’s also available on Amazon and through Crutchfield.

MemSQL CEO Eric Frenkiel describes how he and a business partner spotted the in-memory database opportunity after witnessing Facebook's early data management challenges. Plus, the new MemSQL Community Edition.

Justin and Jason discuss the suspension of Justin's 600 calorie per day diet and whether his plan to move to Ireland is such a s good idea, the process of finding a designer for AnyFu and the progress on the site mockups, the incredible rise in the value of Bitcoins and whether Bitcoins will ever really go mainstream and threaten the dollar, how the Japanese character set cracked Pluggio and made Justin confused, the importance of momentum in just about everything, Justin's crazy work schedule and how Jason is juggling five client contracts, why Jason is considering open sourcing some of his code, whether the Singularity is near or far, the possibility of a CrunchFund, the worrisome addiction of drawing Anime, "black ops" in Pakistan, whether the world economy is near collapse and whether following the news is worth the effort, using Qwerly to clout rank your email list, why working for startups is a smart career move, how MemSQL offer's a 30x performance enhancement over MySQL and the coolness of Google Web Fonts.