Tatung Mei

Project update! My application tracking extension is now doing fuzzier matching and injecting new information into LinkedIn (and other sites) to keep me from doubling up on applications. Next up: local storage and bulk import/export operations...

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Want a preview of what I'm going to be talking about in my keynote for RubyConf? You can catch a glimpse of it here!

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Here's something counterintuitive; taking on more investment risk reduces long-term returns: https://lnkd.in/gHwkjHmP This is only my second investment video, so I'm still learning. If you have any feedback, I would love to hear it. Based on the feedback from the first video, I tried to make the audio more balanced on this video. I also shortened the length, to make the content more digestible.

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Your ability to adapt to changing conditions will be your super power. Being overly adapted to existing conditions makes survival questionable.

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Last Tuesday, Malsgufa, our legacy CMS backend, was shut down. This milestone for BI's Tech and Product team culminated years of planning, effort, and execution. Malsgufa's first commit was on July 25, 2014, leading to 5,186 commits across nearly 30 repositories. Built and maintained by scores of engineers, its deprecation represents significant cost savings (20 production replicas, 3 instances of Solr, and an insane number of Zookeeper instances!), reduced security risk, and the elimination of an often-blamed boogeyman. The journey began in January 2020. Our challenge: moving traffic off Malsgufa without rebuilding everything in Muse. Initially, we tried GraphQL as an intermediary between Viking and our services, but progress was limited by Viking's complex Angular/Vue architecture. In January 2023, we pivoted to the strangler fig pattern with a shim. This approach proved far more effective – all Malsgufa traffic went through the shim first, with verbose logging to track unhandled requests. Meanwhile, we built Story Versioning API (SVAPI), incorporating lessons learned from Malsgufa's limitations around history and publishing states. We ran four major migrations (stories, custom pages, slideshows, and videos), building support in Muse and shimmed compatibility for Viking. Traffic gradually decreased from a torrent to a trickle, leading to the gloriously uneventful shutdown. Next, we will deprecate Viking by Q2 2025, unifying our users in the Muse ecosystem to create the industry's most innovative CMS. Special thanks to the entire Story Creation team: Chase Gruber, Chris Speziale, Daniel Arita, Danny Feliz, Dasha Lary, Dawin Camillo, Eric Saam, Frederica Chen, John Laslo, Kelly Filush, Morgan Cohn, Sarah Pai, Tyler Greenfield! Thanks also to DaD, Engagement, Helpfulness, Cloud Engineering, Test Engineering, and Operational Excellence! Finally, we recognize Malsgufa itself. Developed as a unified CMS backend to support Business Insider's expansion into new markets, it served our global newsroom reliably for a decade, publishing millions of stories despite no major changes in recent years. While it became less sustainable as our business evolved, it deserves our respect. Thank you, Malsgufa. May you rust in peace.

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I am thrilled to announce that Credit Karma (Intuit) has signed an agreement to acquire Zendrive technology and team. This marks a significant milestone in our decade-long journey, and I am incredibly grateful for what we have achieved together. Zendrive pioneered the use of smartphones as telematics devices, leveraging sensor data and employing machine learning and AI to enhance road safety and save lives. Our efforts led to the creation of a new business category—Insurance Qualified Leads (IQL)—bringing substantial value to the auto insurance ecosystem and significant savings for safe drivers. This technology, along with our deep relationship with Credit Karma through the Karma Drive program, ultimately led to this acquisition. This achievement would not have been possible without the remarkable team at Zendrive. Your hard work, resilience, and commitment have been instrumental in our success. I am deeply thankful for your contributions and humbled to have worked alongside such talented individuals. Manish Sachdev, Sumant Hanumante, Aditya Karnik, Jayanta Pal, Chandan Shanbhag, Adam Ward, Anenth Guru, Girish Kadli, Himanshu Chaudhary, Yogesh Maheshwari, Roopkamal Tyagi, Deepanshu Gupta, Rob MacKethan, Rob Hall, Mor Sidi, Sakshi Chandra, Chandrakanth Narreddy, girish bhat, Nikhil Mudaliar, Deepa S., Vishal Ravindra, Ankit Jain, Mohan Sadashiva, Pedro Kroeff, Gina Minick, Syed Ali Haris, Gerry Goldstein, Sean Fleming, Nitin Dileep Salodkar, Pankaj Chawla (Consultant Speaker Strategist) Rajan Vashisht, Prateek Gupta and many many more Special thanks to: - My parents, my soulmate Prerana and my kids. Without your unwavering support this journey would not have been possible.  - My co-founder and dear friend, Jonathan Matus, for his invaluable curiosity and grit. - Dennis Ellis, for his expert leadership over the past two years and during the acquisition process. - Our investors, Tom Hutton, Brian Yee, Darcy Frisch for believing in us. Here's to a bright future and the exciting opportunities ahead! 🌟🥂 #Acquisition #CreditKarma #Zendrive #Innovation #Telematics #AI #Startups #Entrepreneurship https://lnkd.in/gFddNQBS

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'24: A year of innovation, growth, and probably more coffee than I'd like to admit. Here's to building even more amazing things in '25! 🚀 Check out what we accomplished: #Pendo #Innovation #ProductGrowth

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The difference between a decision and a data-driven decision is like the difference between a shot in the dark and a carefully aimed arrow. Which decision do you want to make?

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At InVision, we worked with some amazing software vendors. I know I've talked about most of these in the past; but, I just want to give a final shout-out to some of my favorites: * LaunchDarkly - feature flags completely changed the way we approached product development. And, allowed us to all but eliminate our incidents and outages (shameless plug for my own book: https://lnkd.in/ehxiy6bY). * Postmark - delivered all of our outbound emails and powered our inbound reply-by-email workflows with flawless uptime and befuddling performance. * Pusher - powered our real-time collaboration via WebSockets, bringing our UIs to life and keeping browsers synchronized. * Intergral | FusionReactor APM - gave us deep insights into our JVM performance, allowing us to track down SQL, API, and processing bottlenecks. * Datadog - truly world-class metrics, alerting, and monitoring. * Adobe ColdFusion / Lucee CFML - the programming language and application server that allowed us to move fast, keep things simple, respond to users, and build wonderful things. * Cloudflare - your CDN, WAF, and web workers took a beating so that our origin servers could stay online. * Amplitude - connected me to the users by giving us insight into what our users were actually doing (or not doing). At one point, I think we had over 300 different SaaS subscriptions; so this list is faaaaar from exhaustive. And, I'm sure I'm forgetting other beloved services. And, many of our teams worked with entirely different technologies. This is just my little corner of the organization. And, I couldn't have done it without them. Thank you so much! ❤️

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Santana Row shopping center in San Jose has implemented a ticketless parking system that eliminates the need for drivers to take a ticket upon entry and pay at a pay station upon exit. Instead, drivers can simply scan a QR code (see photo) posted throughout the garage using their phones, enter their license plate number and credit card information on the website that pops up, and a camera will read their license plate and open the gate as they exit. While this system may seem convenient and efficient, I think there is a significant security concern! There is a risk that perpetrators could replace the posted QR code with their own, which would redirect drivers to a fake website where they would unknowingly enter their credit card information. This could lead to unauthorized charges and potential identity theft. It is crucial for the shopping center to address this security concern by taking appropriate measures to protect drivers' personal and financial information. They must ensure that the QR codes posted are authentic and that there are no vulnerabilities that could allow perpetrators to manipulate the system. As an alternative solution, pay stations could be installed for shoppers to use instead of relying on their own phones.

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A question for all of my friends in Software Engineering. Are there any reasonable alternatives to evaluate besides CircleCI that you'd recommend for running a very large set of Rails Unit and Integration tests automatically on Pull Requests? I'm aware of how we could spin up some things on AWS, but the goal is something low maintenance for a small team to increase the visibility of the tests.

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🍜Anybody up for some ramen? I am excited to share that I am back in the garage, building again (it’s actually a house in the Berkeley Hills). We are taking the wraps off of Supercog AI, a new startup focused on solving Application Integration using LLM powered agents. My co-founder in this new venture is a great friend of mine (and a former co-founder partner), Alex Osborne. Alex and I have worked around the application integration space for a long time, and we are unrealistically excited about applying the GenAI stack to this problem. Not many people relish the task to get some bits to move from system A to system B. But it’s a critical job to be done, and that’s led to a lot of brittle scripts, a myriad of inflexible “no code” tools, and a lot of hand crafted SQL. But the power of the Large Language Model, trained on a huge corpus of information, offers a remarkable tool to solve this problem. The LLM you use today already knows the APIs of hundreds of popular systems. It knows the SQL dialects of every major database. It understands the semantics and data schemas of many popular SaaS systems. It understands much of the specific domain in which your business operates. I like to call the AI revolution “the last platform shift”. That may turn out to be hyperbole, but I definitely believe we are in the very early stages of seeing what this new stack can enable. I know we are hardly the first folks to claim that “amazing stuff is coming!”. But this is why Alex and I have decided to focus on a real and hard problem. If we can prove that LLMs can power a new way to solve this problem, it will be the first successful *new* approach in 15 years.. We will have much more to share about this new platform soon. In the meantime, if you’re interested in getting a peek - or even better if you have application or data integration tasks that you would like some help with - please reach out because we want to help. #genai #startups #backinthegarage

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Recently, I introduced Ava, a custom GPT to help Engineering Managers with planning, strategy, hiring, etc. I ran an experiment with Ava to role-play an interview. 💬 Ava took on the role of an interviewer and an EM candidate. It generated questions, answered them, and graded the responses. It was like running a real interview, but with a AI doing most of the heavy lifting! While the answers weren’t as detailed as you'd get in a real interview, the results were interesting 👉 https://lnkd.in/ec488vy6

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A data-driven approach to driving wound healing outcomes Marcella Gomez, University of California, Santa Cruz https://lnkd.in/gAkWZYJT Meet: https://lnkd.in/g4AAWkcK YouTube Stream: https://lnkd.in/gwtqaTmf Talk details: https://lnkd.in/gWn3B3cU Subscribe for talk announcements: https://lnkd.in/g5ciuNuX Abstract: Precision medicine requires an ability to predict the response of an individual to a prescribed treatment regimen a priori. Thus, advancement in the field is challenged by a lack of predictive models and, arguably, a lack of time-series information for a highly dynamic system. Here, we discuss work in wound healing, for accelerating wound closure. We argue that timing of treatments is as critical to consider as the choice of drug or therapy. Due to system size and complexity, data-driven methods need to be explored to develop multi-dimensional quantifiable indicators tracking systemic changes. In this work I discuss how bioelectronic devices enhanced with deep learning can help facilitate real-time sensing and actuation for automated decisions in treatment for wound healing and preliminary work in transcriptomic based classification of wound states. Bio: Marcella M. Gomez is an associate professor at UC Santa Cruz in the department of Applied Mathematics and Associate Dean for Diversity, Equity, and Inclusion for Baskin Engineering. She received her PhD from Caltech in 2015 and a B.S. from UC Berkeley in 2009; both degrees in Mechanical Engineering. Her research interests are in the broad field of bio-control leveraging methods in machine learning and control theory. Applications range from controlling single-cell response to driving complex systems such as wound healing. #modeling #simulation #medicine #healing #trauma #predictivemodeling #datascience #data #woundhealing #biology #bioengineering #systemanalysis #sensing #omics

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