Podcasts about periscope data

Harry Glaser was the co-founder and CEO of Periscope Data, which raised a seed round before finding customers, yet didn't run out of money before becoming an overnight success 3-4 years later. They grew like crazy when they found product-market-fit and raised a big Series A and B.  When you're growing fast, everything can feel like it's breaking constantly, and you're hiring and rehiring people fast. During those rapid growth years, someone would reach out every once in a while and ask if Harry would consider selling. He always said no. But then growth flatlined for a couple of years, and it was time to talk about selling. From the start of the company to a couple of years after being acquired, it was about a ten-year journey altogether.  In today's episode, Harry shares the honest truth and lessons learned from selling Periscope Data for $130M.  -------------------------------------------------------------------------------------------- SaaStr hosts the largest SaaS community events on the planet. Join us in 2024 at: SaaStr Annual: Sept. 10-12 in the SF Bay Area. Join 12,500 SaaS professionals, CEOs, revenue leaders and investors for the world's LARGEST SaaS community event of the year. Podcast listeners can grab a discount on tickets here: https://www.saastrannual2024.com/buy-tickets?promo=fave20 SaaStr Europa: June 5-6 in London. We'll be hosting the 5th SaaStr Europa in London for two days of content and networking. Join 3,000 SaaS and Cloud leaders. Podcast listeners can grab a discount on Europa tickets here: https://www.saastreuropa2024.com/buy-tickets?promo=fave200 -------------- This episode is sponsored by: Remote.com Are you overwhelmed with paperwork managing overseas contractors? Say hello to efficiency with Remote's Contractor Management solution! Seamlessly handle invoicing, fixed payments, and compliant, localized contracts. Kickstart your free trial today at Remote.com -------------- This episode is sponsored by: Northwest Registered Agent Get more when Northwest Registered Agent starts your business. They'll form your company fast and stand up your entire business identity in minutes. That means business free domain, business email, website, hosting, address, mail scanning, business phone app, all within minutes. Visit https://www.northwestregisteredagent.com/saastr to get a 60 percent discount on your next LLC.

Harry Glaser is the cofounder and CEO of Modelbit, a platform for data scientists to deploy machine learning models. He was previously the cofounder and CEO of Periscope Data, which raised more than $50M in funding from investors such as Bessemer, Threshold, Susa, and others. Periscope got acquired for $130M by SiSense. Prior to that, he was a product manager at Google.  In this episode, we cover a range of topics including: - Key learnings from Periscope- What experiments did he run at Periscope during the product-market fit discovery phase- How to hire executives- Motivation behind launching Modelbit- How is Modelbit being used today- Content marketing for developer tooling companies- Top 2-3 favorite use cases for ModelbitHarry's favorite books: Two books by Kazuo Ishiguro -- The Remains Of The Day, Never Let Me Go --------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 

#dataanalytics #analytics Watch this important CXOTalk episode for a discussion on data and analytics strategy with Bruno Aziza, Head of Data and Analytics at Google Cloud.Bruno shares insights on the convergence of data and workloads, data products, building trust through governance, and activating real-time data for success in the era of digital transformation.Here is more detail on the topics discussed in this episode:► Convergence of data and workloads► Importance of governance to build trust in data► Activation and real-time data► What are data products► Practical examples of data products► Infrastructure requirements for data products vs. traditional dashboards► Roles and team structure in data science► “Data scientists are lonely”► Data science in small organizations► Data products and digital transformation► Team collaboration in data science► How to build a great data culture► Data quality creates trust and confidence in the data► Steps to build a data and analytics strategySubscribe to the CXOTalk and get notified of upcoming LIVE shows: https://www.cxotalk.com/subscribeWatch more and read the complete transcript: https://www.cxotalk.com/episode/mastering-data-and-analytics-strategy-with-bruno-aziza-head-of-data-and-analytics-at-google-cloudBruno Aziza is the Head of Data and Analytics at Google Cloud. He has helped companies of all sizes: startups, mid-size, and large public companies. He helped launch Alpine Data Labs (bought by Tibco), AppStream (bought by Symantec), SiSense (bought Periscope Data) & AtScale. He was at Business Objects when they went IPO (after acquiring Acta & Crystal Reports, & before SAP bought them for $7B). He was at Microsoft when they turned the Data & Analytics business into a $1B giant.Bruno specializes in high-growth SaaS, enterprise software, everything data, analytics, data science and artificial intelligence. He educated in the US, France, the UK & Germany. Bruno has written 2 books on Data Analytics and Enterprise Performance Management. His allegiance is to the Analytics Community worldwide.

MLOps Coffee Sessions #140 with Sakib Dadi, The Evolution of ML Infrastructure sponsored by Wallaroo. // Abstract The toolkit and infrastructure empowering machine learning practitioners are advancing as ML adoption accelerates. We'll go through the current landscape of ML tooling, startups, and new projects from an investor's perspective. // Bio Sakib is a vice president in the San Francisco office where he primarily focuses on early-stage investments in developer platforms, data infrastructure, and machine learning. He has been involved with Bessemer's investments in Prefect, Coiled, Arcion, Periscope Data (acquired by Sisense), Okera, npm (acquired by GitHub), and LaunchDarkly. Before joining Bessemer, Sakib worked in product at Viagogo, an international marketplace for buying and selling tickets for live events. Sakib also worked in the technology investment banking group at Morgan Stanley and as an engineer at Innova Dynamics (acquired by TPK), a startup manufacturing flexible touchscreen displays. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Sakib on LinkedIn: https://www.linkedin.com/in/sakib-dadi-77938937/ Timestamps: [00:00] Sakib's preferred coffee [00:13] Introduction to Sakib Dadi [01:33] Sakib's background [02:40] Shout out to this episode's Sponsor, Wallaroo! [04:17] ML investing [05:57] Investing regrets [08:06] Transformers are today what would be tomorrow? [09:18] Company that you wish existed now [10:23] Current thoughts on the MLOps market [12:32] MLOps transition to Generative AI [15:52] Mind maps [17:03] Jasper [22:14] Intersection [24:10] Differences in models in-house [26:08] Orchestration space [28:23] Nuances of Monitoring [29:20] Demetrios' theory on Monitoring [31:48] Non-funded Monitoring Companies [34:29] Investment risks [36:55] Orchestration markets [39:38] MLOps market at a plateau [42:14] Vertical problems, vertical solutions [45:45] Sakib starting a company [50:10] Structuring deals [51:50] Infrastructure tools [53:26] Firing a founder [53:49] Parting ways with a founder [57:07] Wrap up

#DataScience #CustomerExperience Data is central to how companies compete, nurture customer relationships, and develop brand loyalty through end-to-end customer experience.In this environment, data strategy is crucial to business success. But, who should be responsible for the data strategy? Who owns the customer and operational data? What are the appropriate metrics and KPIs for a customer-centric data strategy? And most importantly, how does the data strategy support the underlying business goals?To address these questions and more, we speak with Danielle Crop, Chief Data Officer of Albertsons, and Bruno Aziza, Head of Data and Analytics at Google Cloud. This episode explores how Albertsons, with over $62 billion in revenue and 325,000 employees, uses data across the company to improve operations and deliver better and more personalized products and services to customers.The conversation includes these topics:-- On data collection for customer experience-- On data sources that drive customer insights-- On how to use data science for customer experience and personalization-- On ethical considerations of data in customer experience-- On data science talent and the data team at Albertsons-- On building a data culture-- On using data science to deliver business value-- On aligning data strategy and business strategy-- On the Chief Data Officer role-- On customer experience metrics and measuring data performance-- On using data to deepen customer relationships and customer loyaltyRead the complete transcript: https://www.cxotalk.com/episode/data-strategy-customer-experience-google-albertsonsStay up to date with upcoming episodes: https://www.cxotalk.com/subscribeDanielle Crop is the Senior Vice President and Chief Data Officer at Albertsons and is responsible for building and executing a world-class central data strategy that delivers benefits for the customer regardless of whether they shop in store or on the company's digital platforms. Her work uses machine learning and advanced data science capabilities to enhance performance across Albertson's businesses and markets.Bruno Aziza is Head of Data and Analytics at Google Cloud. He specializes in scaling businesses & turning them into global leaders. He has helped companies of all sizes: startups, mid-size, and large public companies. He helped launch Alpine Data Labs (bought by Tibco), AppStream (bought by Symantec), SiSense (bought Periscope Data) and AtScale. He was at Business Objects when they went IPO (after acquiring Acta and Crystal Reports, and before SAP bought them for $7B). He was at Microsoft when they turned the Data & Analytics business into a $1B giant.

Bruno Aziza is a thought leader in Data and Analytics. In this podcast we discussed various key trends and topics influencing the world of data including analyst of the future, value of dark data, user experience, emotions based data storytelling, meaning of Intelligence, and flexibility of data platforms. There are lots of key statistics thrown into this episode which will provide metrics for data leaders and the actions they need to take. Want more? Connect with our host Arvind Murali, Data Chief Strategist at Perficient Learn more about Perficient's Data + Intelligence expertise Connect with our guest: Bruno Aziza | LinkedIn About our guest: Bruno Aziza specializes in scaling businesses and turning them into global leaders. He’s helped companies of all sizes and also helped launch Alpine Data Labs (bought by TIBCO), AppStream (bought by Symantec), SiSense (bought Periscope Data) & AtScale. Bruno specializes in high-growth SaaS, enterprise software, everything data, analytics, data science and artificial intelligence and has written books on data analytics and enterprise performance management. Follow Bruno on Twitter @brunoaziza and LinkedIn, where he shares unbiased insights every Monday. Books: Drive Business Performance, Framers Podcast: Daily Espresso - the economist , Tech Crunch

Harry really underlines the value of finding an amazing co-founder - his talented room-mate in college for 4 years, Tom O'Neil. He started his career in Google in product management and that was a very formative experience for him. Since this interview Harry's company Periscope was acquired by SiSense and now he's the General Manager and CMO there.

Harry really underlines the value of finding an amazing co-founder - his talented room-mate in college for 4 years, Tom O'Neil. He started his career in Google in product management and that was a very formative experience for him. Since this interview Harry’s company Periscope was acquired by SiSense and now he’s the General Manager and CMO there.

Recorded (8/19): In this episode, hear Harry Glaser, CMO and San Francisco GM of Sisense speak about his experience of starting Periscope Data. In May of 2019 Periscope Data was merged with Sisense, the leading analytics platform for builders. Harry touches upon the value of data, getting your first customer, listening to customer feedback and much more! 

Michelle Casbon is back in the host seat with Mark Mirchandani this week as we talk data science with Devoted Health Director of Data Science, Chris Albon. Chris talks with us about what it takes to be a data scientist at Devoted Health and how Devoted Health and machine learning are advancing the healthcare field. Later, Chris talks about the future of Devoted Health and how they plan to grow. They’re hiring! At Devoted Health, they emphasize knowledge, supporting a culture of not just machine learning but people learning as well. Questions are encouraged and assumptions are discouraged in a field where a tiny mistake can change the care a person receives. Because of this, their team members not only have a strong data science background, they also learn the specific nuances of the healthcare system in America, combined with knowledge of the legal and privacy regulations in that space. How did Chris go from Political Science Ph.D. to non-profit data science wizard? Listen in to find out his storied past. Chris Albon Chris Albon is the Director of Data Science at Devoted Health, using data science and machine learning to help fix America’s health care system. Previously, he was Chief Data Scientist at the Kenyan startup BRCK, cofounded the anti-fake news company New Knowledge, created the data science podcast Partially Derivative, led the data team at the humanitarian non-profit Ushahidi’s, and was the director of the low-resource technology governance project at FrontlineSMS. Chris also wrote Machine Learning For Python Cookbook (O’Reilly 2018) and created Machine Learning Flashcards. He earned a Ph.D. in Political Science from the University of California, Davis researching the quantitative impact of civil wars on health care systems. Chris earned a B.A. from the University of Miami, where he triple majored in political science, international studies, and religious studies. Cool things of the week How Itaú Unibanco built a CI/CD pipeline for ML using Kubeflow blog Why TPUs are so high-performance BFloat16: The secret to high performance on Cloud TPUs blog TPU Codelabs site Benchmarking TPU, GPU, and CPU Platforms for Deep Learning paper Machine Learning Flashcards site Interview Devoted Health site Devoted Health is hiring! site Ushahidi site FrontlineSMS site New Knowledge site Joel Grus: Fizz Buzz in TensorFlow site Snowflake site Periscope Data site Airflow site Kubernetes site Chris Albon’s Website site Partially Derivative podcast Partially Derivative Back Episodes podcast Question of the week Chris Albon To paraphrase: A computer program is said to learn if its performance at specific tasks improves with experience. To find out more, including the definition of a partial derivative, buy a pack of Chris’s flashcards. Who knows, they might help you land your next job. Where can you find us next? Michelle is planning the ML for Developers track for QCon SF on Nov. 13. Mark is staying in San Francisco and just launched two Beyond Your Bill videos: Organizing your GCP resources and Managing billing permissions. Sound Effect Attribution “Small Group Laugh 5” by Tim.Kahn of Freesound.org “Crowd Laugh” by Tom_Woysky of Freesound.org “Transformers Type SFX 2” by HykenFreak of Freesound.org “Approx 800 Laugh” by LoneMonk of Freesound.org “Bad Beep” by RicherLandTV of Freesound.org “C-ClassicalSuspense” by DuckSingle of Freesound.org

This week’s startup scene was definitely in its top shape. We are talking about a total of 397 funding rounds that’s hundred more than last week, $31.2 billion total funding which is almost 5 times last week, 153 acquisitions recorded, and a transaction of a total acquisition amount of $9.3 billion. That being said, let’s dive right into the highlights. Feather, a New York-based company that offers contemporary, higher-end furniture on a subscription basis raised $12.5 million in a Series A round led by Spark Capital. Prior seed investors Fuel Capital, Bain Capital Ventures, PJC, Kleiner Perkins, and Y Combinator followed on in the round, according to Crunchbase. Algorithmia raised $25 million in Series B funding led by Norwest Venture Partners. Algorithmia, based in Seattle, is building infrastructure for the final step of the machine learning workflow: integrating a predictive model into a production code environment. Basically, what the company calls its “AI Layer” is a software environment that automatically produces a model-specific API the data scientist can call. DNA Script has raised $38.5 million in new financing to commercialize a process that it claims is the first big leap forward in manufacturing genetic material. DNA Script is focused on the manufacturing of synthetic DNA using a proprietary template-free enzymatic technology. The company aims at accelerating innovation in life science and technology through rapid, affordable and high quality DNA synthesis. The company said the money would be used to accelerate the development of its first products and establish a presence in the United States. Trendy luggage brand - Away, packs on $100 million funding and rolls past a valuation of $1.4 billion. The capital will be used to build additional brick-and-mortar stores, as well as add to Away’s portfolio of merchandise with an eye toward expanding into generic travel gear. To date, Away has sold more than 1 million suitcases. Moving on to acquisitions, HP enterprise announced it was buying Cray (a global supercomputer leader) for $1.3 billion, giving it access to the company’s high-performance computing portfolio, and perhaps a foothold into quantum computing in the future. VMware announced today that it’s acquiring Bitnami, the package application company that was a member of the Y Combinator Winter 2013 class. The companies didn’t share the purchase price. The company can now deliver more than 130 popular software packages in a variety of formats, such as Docker containers or virtual machine, an approach that should be attractive for VMware as it makes its transformation to be more of a cloud services company. Sisense announced today that it has acquired Periscope Data to create what it is calling a complete data science and analytics platform for customers. The companies did not disclose the purchase price. Sisense, which has raised $174 million, tends to serve business intelligence requirements either for internal use or externally with customers. Periscope, which has raised more than $34 million, looks at the data science end of the business. What else caught our eye last week? Fiverr files to go public, reports revenue of $75.5M and a net loss of $36.1M for 2018 Freelance marketplace Fiverr has filed to go public on the New York Stock Exchange. Their mission is to change how the world works together. They started with the simple idea that people should be able to buy and sell digital services in the same fashion as physical goods on an e-commerce platform. On that basis, they set out to design a digital marketplace that is built with a comprehensive services catalog and an efficient search, find and order process that mirrors a typical e-commerce transaction. Next, let’s take a peek at the Revenue based finance (RBF) model that’s on the rise. What exactly is RBF you ask? It’s a relatively new form of funding for tech companies that are posting monthly recurring revenue. Here’s how Lighter Capital, which completed 500 RBF deals in 2018, explains it: “It’s an alternative funding model that mixes some aspects of debt and equity. Most RBF is technically structured as a loan. However, RBF investors’ returns are tied directly to the startup’s performance, which is more like equity.”

Ty Sbano, head of security at Periscope Data, talks about building Security Champions in the world of DevOps.

Ty Sbano built his information security career at a variety of financial services organizations and has also done work in the retail and technology sectors. More recently, Ty has been branching out as an industry leader, career coach, technology advisor, and is currently the Head of Security at Periscope Data. He currently specializes in the areas of software security, DevOps, Security Engineering, but he attributes a lot of specialization around the vertical of Security Culture.

Harry Glaser is the Founder & CEO @ Periscope Data, the startup that allows you to transform your business with the fastest, most powerful analytics platform. To date, Periscope have raised over $34m in funding from some of the very best in the business including Bessemer, SV Angel, DFJ, Susa Ventures and Data Collective, just to name a few. With this funding they now serve over 975 customers including Adobe, Flexport, Tinder, NewRelic and more. Prior to founding Periscope, Harry was a Product Manager @ Google. Fun fact about Periscope, it was voted the best small company to work for in 2017.   In Today’s Episode You Will Learn: How Harry made his way from being a PM at Google to convincing his co-founder Tom to leave his comfortable corporate job in Seattle to chase the startup dream in the valley? Diverse Teams: There a a lot of all white male teams in SaaS, what should they do to create a more diverse, well-rounded team? What is the first step? What is the framework for achieving this hiring ambition? What are the biggest challenges? Where does Harry see founders most often making mistakes in building diverse teams? Data Teams: Why does Harry believe that founding teams must have data professionals within them from Day 1? Why does Harry believe this makes those startups more successful? What are the fundamental benefits? How does this data-centricity change the decision-making of the organisation? What are the core challenges in scaling this data team? Moving Upmarket: Why does Harry believe that it is better to do SMB to enterprise than enterprise to SMB? How does the product fundamentally change when addressing the enterprise market? How does the structure of the team change with the move? How does the messaging of the company alter with the move to a more enterprise focus? 60 Second SaaStr What does Harry know now that he wishes he had known at the beginning? Harry recently tweeted “you don’t choose the kind of CEO you are”, what kind of CEO are you then? A moment in Harry’s life that has served as an inflection point and changed the way he thinks? What can a founder do today to instantly make a better workplace culture? If you would like to find out more about the show and the guests presented, you can follow us on Twitter here: Jason Lemkin Harry Stebbings SaaStr Harry Glaser

Jon Bishop is the Director of Growth at Heap Analytics, a self-serve analytics SaaS product that has changed the ability for non-technical professionals to access deep insights driven by data without the assistance of an engineer. Previously, Jon worked at Periscope Data, another data analytics growth company, in which he multiplied revenue by 48x. At both Heap and Periscope, Jon was the first marketing hire. He has also worked as a growth consultant for venture backed startups. The topics discussed in this episode include exponentially increasing value for your customers, attracting an educated user base, and the power of small marketing teams.

A data-driven organization is more efficient because the company can learn what to focus on. Rya Sciban, Product Manager at Periscope Data explains the needs of data teams in an organization. We talked about what data analysis is and how this changes as the amount of data grows. Periscope Data has been successful in retaining women in product and development teams. We talked strategies for having more women in leadership positions.

No reliable, complete database cataloging home sales data at a transaction level is available for the average person to access. To a data scientist interesting in studying this data, our hands are complete tied. Opportunities like testing sociological theories, exploring economic impacts, study market forces, or simply research the value of an investment when buying a home are all blocked by the lack of easy access to this dataset. OpenHouse seeks to correct that by centralizing and standardizing all publicly available home sales transactional data. In this episode, we discuss the achievements of OpenHouse to date, and what plans exist for the future. Check out the OpenHouse gallery. I also encourage everyone to check out the project Zareen mentioned which was her Harry Potter word2vec webapp and Joy's project doing data visualization on Jawbone data. Guests Thanks again to @iamzareenf, @blueplastic, and @joytafty for coming on the show. Thanks to the numerous other volunteers who have helped with the project as well! Announcements and details If you're interested in getting involved in OpenHouse, check out the OpenHouse contributor's quickstart page. Kyle is giving a machine learning talk in Los Angeles on May 25th, 2017 at Zehr. Sponsor Thanks to our sponsor for this episode Periscope Data. The blog post demoing their maps option is on our blog titled Periscope Data Maps. To start a free trial of their dashboarding too, visit http://periscopedata.com/skeptics Kyle recently did a youtube video exploring the Data Skeptic podcast download numbers using Periscope Data. Check it out at https://youtu.be/aglpJrMp0M4. Supplemental music is Lee Rosevere's Let's Start at the Beginning.  

Feed Forward Neural Networks In a feed forward neural network, neurons cannot form a cycle. In this episode, we explore how such a network would be able to represent three common logical operators: OR, AND, and XOR. The XOR operation is the interesting case. Below are the truth tables that describe each of these functions. AND Truth Table Input 1 Input 2 Output 0 0 0 0 1 0 1 0 0 1 1 1 OR Truth Table Input 1 Input 2 Output 0 0 0 0 1 1 1 0 1 1 1 1 XOR Truth Table Input 1 Input 2 Output 0 0 0 0 1 1 1 0 1 1 1 0 The AND and OR functions should seem very intuitive. Exclusive or (XOR) if true if and only if exactly single input is 1. Could a neural network learn these mathematical functions? Let's consider the perceptron described below. First we see the visual representation, then the Activation function , followed by the formula for calculating the output.         Can this perceptron learn the AND function? Sure. Let and What about OR? Yup. Let and An infinite number of possible solutions exist, I just picked values that hopefully seem intuitive. This is also a good example of why the bias term is important. Without it, the AND function could not be represented. How about XOR? No. It is not possible to represent XOR with a single layer. It requires two layers. The image below shows how it could be done with two laters.     In the above example, the weights computed for the middle hidden node capture the essence of why this works. This node activates when recieving two positive inputs, thus contributing a heavy penalty to be summed by the output node. If a single input is 1, this node will not activate. Universal approximation theorem tells us that any continuous function can be tightly approximated using a neural network with only a single hidden layer and a finite number of neurons. With this in mind, a feed forward neural network should be adaquet for any applications. However, in practice, other network architectures and the allowance of more hidden layers are empirically motivated. Other types neural networks have less strict structal definitions. The various ways one might relax this constraint generate other classes of neural networks that often have interesting properties. We'll get into some of these in future mini-episodes.   Check out our recent blog post on how we're using Periscope Data cohort charts. Thanks to Periscope Data for sponsoring this episode. More about them at periscopedata.com/skeptics

Versioning isn't just for source code. Being able to track changes to data is critical for answering questions about data provenance, quality, and reproducibility. Daniel Whitenack joins me this week to talk about these concepts and share his work on Pachyderm. Pachyderm is an open source containerized data lake. During the show, Daniel mentioned the Gopher Data Science github repo as a great resource for any data scientists interested in the Go language. Although we didn't mention it, Daniel also did an interesting analysis on the 2016 world chess championship that complements our recent episode on chess well. You can find that post here Supplemental music is Lee Rosevere's Let's Start at the Beginning.   Thanks to Periscope Data for sponsoring this episode. More about them at periscopedata.com/skeptics      

Roku announced five new streaming devices: http://www.macrumors.com/2016/09/26/roku-five-new-streaming-devices/ New features, Photos has them: http://www.macworld.com/article/3122966/macs/6-photos-features-that-are-worth-the-upgrade-to-macos-sierra.html Firewatch is coming to theaters: http://www.gamesradar.com/firewatch-is-coming-to-theaters-courtesy-of-dont-breathe-production-company/ Apple now sells Sonos speakers: http://www.tomsguide.com/us/sonos-speakers-apple-store,news-23543.html Xiaomi's new fingerprint reader is probably what Apple will do: https://www.engadget.com/2016/09/27/xiaomi-mi-5s-plus/ Security flaw in iTunes backups: https://9to5mac.com/2016/09/24/ios-10-itunes-backup-security-flaw/ Lex likes his Amazon Basics iPhone 7 Plus case: https://www.amazon.com/AmazonBasics-Slim-Case-iPhone-Plus/dp/B01I48LNBE/ref=nosim/thelexfiles05-20 Our thanks to Mack Weldon (https://www.mackweldon.com/rebound). Mack Weldon makes glorious underwear to hold your bits in the way they deserve, anti-microbially. It is truly awesome stuff. So go to MackWeldon.com/REBOUND and use the promo code "REBOUND" to get 20 percent off your order. Our thanks also to GraphicStock (http://graphicstock.com), which gives you unlimited downloads of high-quality, royalty-free photos, vectors, illustrations and other design elements for just $99 a year. Go to GraphicStock.com/Rebound and get a 7-day free trial! And our thanks to Zip Recruiter. Are you hiring? With ZipRecruiter.com, you can get your posting on all the major sites and social media. Go to ZipRecruiter.com/FreeTrial (http://ziprecruiter.com/freetrial) to try it out for free! Our thanks as well to Periscope Data (https://www.periscopedata.com), the smartest and easiest way to visualize your data. Go to PeriscopeData.com/REBOUND and get a free trial today.

Verizon apparently does use a SIM card for LTE phones: https://answers.yahoo.com/question/index?qid=20080722202849AAT51WZ Apple has released iOS 10.0.2 which is supposed to fix problems with controls on Lightning headphones: https://9to5mac.com/2016/09/23/ios-10-0-2-lighting-headphone-bug-iphone-7/ How did Dan get a Sonos and Lex and Moltz didn't know about it? https://www.sonos.com/en-us/home You can get AirPlay working on a Sonos but it ain't pretty: https://sixcolors.com/post/2016/02/getting-sonos-to-work-with-airplay-and-overcast/ Apple's reportedly working on an Echo competitor: http://www.bloomberg.com/news/articles/2016-09-23/apple-said-to-step-up-plans-for-echo-style-smart-home-device-itfnod11 Dan got the SoundBot SB517 for listening to podcasts in the shower: https://www.amazon.com/SB517-Speakerphone-Waterproof-Rechargeable-Dust-proof/dp/B00KUSZ81I Twitter is reportedly looking to sell to maybe Google or Salesforce: http://www.reuters.com/article/us-twitter-m-a-idUSKCN11T1GT Yahoo's data breach of 500 million accounts: http://abcnews.go.com/Technology/info-500-million-accounts-stolen-yahoo-state-sponsored/story?id=42286309 Google has backed off on Allo's privacy feature: http://www.theverge.com/2016/9/21/12994362/allo-privacy-message-logs-google Our thanks to Zip Recruiter. Are you hiring? With ZipRecruiter.com, you can get your posting on all the major sites and social media. Go to ZipRecruiter.com/FreeTrial (http://ziprecruiter.com/freetrial) to try it out for free! And thanks as well to FanDuel, the leader in one-week fantasy football with more winners and more payouts than any other site. Go to fanduel.com and click on the microphone in the upper right hand corner. Use the code "REBOUND" and sign up now. Our thanks also to Periscope Data (https://www.periscopedata.com), the smartest and easiest way to visualize your data. Go to PeriscopeData.com/REBOUND and get a free trial today.

iOS 10 is here: https://www.macstories.net/stories/ios-10-the-macstories-review/ NOTE: There were some problems with over-the-air updates on release day, so using iTunes to update instead might be advisable. Soon, the iPhone 7: https://www.buzzfeed.com/nicolenguyen/iphone-7-review Apple's trying to sort out problems with the iPhone Upgrade Program: http://www.macrumors.com/2016/09/09/iphone-upgrade-program-iphone-7-headaches/ Dan likes the Do widget in IFTTT: https://itunes.apple.com/us/app/do-button-by-ifttt/id905998610?mt=8 Also the Authy widget: https://itunes.apple.com/us/app/authy/id494168017?mt=8 Are you ready for Stickers? https://sixcolors.com/post/2016/09/dealing-with-the-deluge-of-imessage-apps-and-stickers/ Here's how to hide iMessage apps: https://sixcolors.com/post/2016/09/a-couple-more-bits-about-installing-and-hiding-imessage-apps/ Lex likes Spark Mail: https://itunes.apple.com/us/app/spark-love-your-email-again/id997102246?mt=8 Lex has QuietPoint noise canceling headphones: http://www.audio-technica.com/cgi-bin/product_search/headphones/headphones_cat.pl?select_multiple_3=QuietPoint%20Noise%20Cancelling Dan is looking at the Bose QC 35 headphones: https://www.bose.com/en_us/products/headphones/over_ear_headphones/quietcomfort-35-wireless.html Our thanks this week to GraphicStock (http://graphicstock.com), which gives you unlimited downloads of high-quality, royalty-free photos, vectors, illustrations and other design elements for just $99 a year. Go to GraphicStock.com/Rebound and get a 7-day free trial! And thanks as well to FanDuel, the leader in one-week fantasy football with more winners and more payouts than any other site. Go to fanduel.com and click on the microphone in the upper right hand corner. Use the code "REBOUND" and sign up now. Our thanks also to Periscope Data (https://www.periscopedata.com), the smartest and easiest way to visualize your data. Go to PeriscopeData.com/REBOUND and get a free trial today.

I am delighted to welcome my first ever Harry to the show today in the form of Harry Glaser, Co-Founder & CEO @ Periscope Data, the worlds fast analysis suite providing data analysts with the tools they need to improve their analysis by over 150X and an astonishing fact here they have doubled their revenue every 3 months ever since launch. Periscope’s investors include Ellen Pao, Matt Ocko @ Data Collective, Chad Byers @ Susa Ventures, Wes Chan @ Felicis, Benjamin Ling at Khosla and many more. Also in the show today we mention Jason Lemkin and Aaron Ross new book From Impossible to Inevitable: How Hypergrowth Companies Create Predictable Revenue and if you have not read that, that is a must and can be found here! In Today’s Episode with Harry We Discuss How Harry came to be the founder of Persicope Data and what the a-ha moment was for him? How did Harry look to establish a pricing model with Periscope Data as a first time SaaS founder? What are Harry’s learnings of hiring and building out the initial sales team? How did Harry build out the institutonal training program to allow non technical people to sell a very non technical product? What are the inherent pros of having an inbound heavy model and what are the fundamental problems? Why are companies suddenly seeing the need for data analysts and what are the opportunites that data analysts present? If you would like to find out more about the show and the guests presented you can follow us on Twitter here: Jason Lemkin Harry Stebbings Saastr Harry Glaser