# LinkedIn Published articles for LinkedIn. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The 7 Essential Parts of Your Online Presence DevFeed: [The 7 Essential Parts of Your Online Presence]() Original publisher: [Read original article]() Author: Manish Shivanandhan Published: 2026-09-15T21:07:31Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [Website]() Tags: [job-search](), [linkedin](), [open-source](), [personal](), [portfolio](), [profile](), [social-media](), [work]() ### AI overview This article explains seven parts of a strong online presence, beginning with a professional profile and personal website. It emphasizes consistency, clear descriptions of problems solved and outcomes achieved, and using a personal website to present work, case studies, and contact information. ### Source excerpt Your online presence often gives potential employers, clients, partners, and recruiters their first impression of you. It's likely what they see before they ever meet you. They search your name, read ## How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation DevFeed: [How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation]() Original publisher: [Read original article]() Author: Claudio Masolo Published: 2026-09-11T10:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [recommendation systems](), [Large Language Model](), [Language models](), [sglang](), [Latency]() Tags: [agentic-ai-architecture](), [ai](), [ai-ml-data-engineering](), [artificial-intelligence](), [large-language-models](), [latency](), [liger](), [linkedin](), [linkedin-ai-multi-teacher](), [llms](), [ml-data-engineering](), [news](), [search](), [sglang](), [training]() ### AI overview LinkedIn describes a multi-teacher distillation pipeline for AI-powered job search that trains a 0.6B-parameter ranking model. The article focuses on SGLang-based teacher serving, online and offline distillation, and training optimizations reported to produce roughly an eightfold speedup. ### Source excerpt LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline that compresses knowledge from large teacher models into a compact 0.6B-parameter ranking model. By Claudio Masolo ## Thanks for participating in APNIC 62 DevFeed: [Thanks for participating in APNIC 62]() Original publisher: [Read original article]() Author: Timothy Hildred Published: 2026-09-10T13:16:58Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [Internet](), [networking](), [NIXI]() Tags: [apnic-62](), [blog](), [community](), [conference](), [conferences](), [event](), [events](), [india](), [industry](), [internet](), [keynote](), [learn](), [linkedin](), [networking](), [nixi](), [september-2026](), [speakers](), [survey](), [transcripts](), [updates](), [videos](), [youtube]() ### AI overview APNIC 62 brought together 583 in-person and remote attendees from 54 economies in Mumbai from 4 to 10 September 2026. The article thanks participants, speakers, sponsors, and organizers, and points readers to the conference report, recordings, presentations, transcripts, and survey. ### Source excerpt Thank you to everyone who participated in person and remotely at APNIC 62, hosted by the National Internet Exchange of India (NIXI) and co-hosted by ISPAI, from 4 to 10 September 2026 in Mumbai, India. ## Two Goals I Missed in August DevFeed: [Two Goals I Missed in August]() Original publisher: [Read original article]() Author: Prasad Rao Published: 2026-08-27T16:39:00Z Content type: opinion Language: en Sources: [Big Tech Careers]() Topics: [Tech Careers](), [Amazon Bedrock AgentCore](), [Amazon Web Services](), [OpenAI]() Tags: [amazon-bedrock-agentcore](), [aws](), [bias](), [careers](), [claude](), [funding](), [hiring](), [linkedin](), [promotion](), [tech-careers]() ### AI overview The author reflects on missing a weekly publishing goal and completing none of three planned Claude certifications. The article also argues that LinkedIn highlights successes while concealing the setbacks behind them, creating a distorted view through survivorship bias. ### Source excerpt LinkedIn is lying to you. What you don't see behind the scene! ## Inside LinkedIn's cognitive memory agent for agentic personalization DevFeed: [Inside LinkedIn's cognitive memory agent for agentic personalization]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-25T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Artificial Intelligence](), [personalization](), [Latency](), [Authorization](), [data](), [Software]() Tags: [agent](), [agentic](), [agentic-ai](), [ai](), [latency](), [linkedin](), [personalization](), [podcast](), [retrieval](), [se-stackoverflow](), [se-tech]() ### AI overview This podcast discusses LinkedIn's cognitive memory agent, a four-layer memory system designed to give its hiring assistant persistent, personalized state. The conversation covers the move from GraphRAG to tree-structured memory, incremental updates, retrieval freshness, latency budgets, and access control. ### Source excerpt Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state. ## Disrupting a new covert influence campaign from Russia DevFeed: [Disrupting a new covert influence campaign from Russia]() Original publisher: [Read original article]() Published: 2026-08-25T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [IO](), [ChatGPT]() Tags: [ai](), [articles](), [chatgpt](), [global-affairs](), [identity](), [linkedin](), [openai](), [social-media](), [telegram]() ### AI overview OpenAI describes disrupting a Russia-origin covert influence operation that used ChatGPT to generate social media comments promoting a fabricated Israel-based think tank and a Russia-favorable sovereignty index. The operators used VPNs and attempted to conceal their Russian origins. ### Source excerpt OpenAI banned Russia-origin accounts using AI to promote a fake Israel-based think tank and a "sovereignty" index praising Russia and criticizing the West. ## New Position Unlocked: Senior SDET at AAA Life Insurance, starting Monday, June 15th, 2026! DevFeed: [New Position Unlocked: Senior SDET at AAA Life Insurance, starting Monday, June 15th, 2026!]() Original publisher: [Read original article]() Author: T.J. Maher (noreply@blogger.com) Published: 2026-06-04T02:16:39Z Content type: opinion Language: en Sources: [T.J. Maher]() Topics: [Software Testing](), [Mobile]() Tags: [2026](), [aaa-life](), [automation](), [community](), [leadership](), [linkedin](), [mobile](), [programming](), [software-testing](), [sqgne](), [testing]() ### AI overview The author announces starting a Senior SDET position at AAA Life Insurance Company on June 15, 2026, after an extended job search. The article also announces the author's nomination as a volunteer director of the Software Quality Group of New England and describes recent community activities, including a talk on building a mobile automation test framework. ### Source excerpt I have two announcements: I've accepted a job offer as a Senior SDET role at AAA Life Insurance Company, and will be starting Monday, June 15th! And I have been nominated to be one of the volunteer Directors on the leadership board of the Software Quality Group of New England. Man, the job market is brutal! It took me four months of job searching in 2025 to find SELF Id when MassMutual outsourced its technology department. And it took me four months of near constant job searching in 2026 to find AAA Life when I was caught up in the second round of SELF's layoffs in the end of January. After throwing countless resumes into the void, submitting post after post on LinkedIn, experimenting with countless automation frameworks and programming projects on tjmaher.com, and spamming my entire LinkedIn Network (sorry about that!), and everyone I have worked with in the past twenty years as a software tester, desperately looking for job leads, it was a staffing firm working for AAA Life who found me. Thank you, Refactor Talent! Rewriting my LinkedIn Resume to make sure that I was using proper keywords in my "About" section of my LinkedIn Profile seems to have done the trick! I'd also like to announce that I found another awesome software testing community to be a part of: The Software Quality Group of New England, a local non-profit meeting monthly in Burlington, MA. Come join us! And we are always looking for in-person speakers. I've been missing being part of a software testing community! I was Meetup Organizer for the now defunct Ministry of Testing - Boston group from 2016 to 2024, loving every minute I was trying to find speakers, sponsors and hosts. I made so many great connections during my tenure. It's sad the Meetup group was shut down by the Ministry of Testing UK a few months ago, but I am glad to be part of a new software testing group! In the past month as a new member of the SQGNE, I have: * Given a talk to the group on building a mobile automation test framework ## Worth Reading: Your Code Is Worthless DevFeed: [Worth Reading: Your Code Is Worthless]() Original publisher: [Read original article]() Published: 2026-05-26T05:32:00Z Content type: opinion Language: en Sources: [ipSpace.net blog]() Topics: [Artificial Intelligence](), [Code]() Tags: [ai](), [article](), [code](), [linkedin](), [worth-reading]() ### AI overview This commentary recommends Nathaniel Fishel's article arguing that lines of code are a vanity metric. It says maintainability and the effort required to think through architectural trade-offs matter more than generating large amounts of code with AI. ### Source excerpt Did you manage not to stumble on a dramatic post explaining how someone generated 10,000 lines of code with AI while wasting time on your LinkedIn feed? Congratulations, you're lucky. However, as Nathaniel Fishel explained in his Your Code Is Worthless article, the "lines of code" is a useless vanity metric that sounds great in a LinkedIn self-promotion, but doesn't matter when one has to maintain the product one has shipped to the customers. Add the natural laziness, and you have a perfect storm. As he wrote: Read more ... ## The Seniority Trap: Why You Might Have 1 Year of Experience, 10 Times DevFeed: [The Seniority Trap: Why You Might Have 1 Year of Experience, 10 Times]() Original publisher: [Read original article]() Author: Kevin Naughton Jr. Published: 2026-04-05T14:03:00Z Content type: opinion Language: en Sources: [The Software Engineer Weekly]() Topics: [Software](), [coding](), [CRUD](), [App]() Tags: [app](), [complex](), [crud](), [engineering](), [linkedin](), [metric](), [novel](), [patterns](), [problems](), [software](), [software-engineer](), [times]() ### AI overview An opinion piece argues that years of experience alone do not establish software engineering seniority. It contrasts engineers who solve increasingly complex, novel problems with those who repeatedly solve similar CRUD application problems using familiar patterns. ### Source excerpt We've all seen the "Senior Software Engineer" LinkedIn profiles with 10+ years of experience. But in the world of engineering, time is a deceptive metric. There is a massive, quiet difference between an engineer who has spent a decade solving increasingly complex, novel problems and an engineer who has spent a decade solving the same CRUD app problems using the same patterns they learned in year one. ## Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective DevFeed: [Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective]() Original publisher: [Read original article]() Author: Jason Zhu; Hejian Sang; Arup De; Rohit Jain; Yanning Chen Published: 2026-01-27T01:53:15Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Artificial Intelligence](), [gpt-oss](), [Reinforcement learning](), [agentic-coding](), [Retool](), [Frameworks](), [qwen](), [coding](), [hugging face]() Tags: [agentic](), [agentic-coding](), [agents](), [ai](), [applications](), [blog](), [code](), [coding](), [company](), [fine-tuning](), [gpt-oss](), [hugging-face](), [linkedin](), [models](), [open-source](), [qwen](), [reasoning](), [reinforcement-learning](), [rl](), [training]() ### AI overview LinkedIn's retrospective describes experiments to train GPT-OSS models for agentic reinforcement learning. It covers tool interaction, Harmony chat-template support, rollout and tool parsing, ReTool coding tasks, attention-sink fixes, and benchmark results using GPT-OSS-20B, GPT-OSS-120B, and Qwen-2.5-32B. ### Source excerpt LinkedIn is an AI-first company that's built agents to help professionals be more successful. In this setting, models must reason over incomplete information, interact with structured services, and adapt to evolving user intent across multiple steps rather than produce a single static response. ## Why LinkedIn is a hunting ground for threat actors - and how to protect yourself DevFeed: [Why LinkedIn is a hunting ground for threat actors - and how to protect yourself]() Original publisher: [Read original article]() Author: Phil Muncaster Published: 2026-01-16T10:00:00Z Content type: article Language: en Sources: [WeLiveSecurity]() Topics: [Security](), [data](), [Malware]() Tags: [business](), [data](), [fraud](), [linkedin](), [malware](), [phishing](), [security](), [social-media]() ### AI overview LinkedIn is described as a hunting ground for threat actors because its professional profiles expose corporate information, provide credible access to executives and employees, and can bypass corporate email monitoring. The article discusses risks including espionage, spear-phishing, business email compromise, fraud, malware and spam. ### Source excerpt The business social networking site is a vast, publicly accessible database of corporate information. Don't believe everyone on the site is who they say they are. ## The convergence of AI and data streaming - Part 1: The coming brick walls DevFeed: [The convergence of AI and data streaming - Part 1: The coming brick walls]() Original publisher: [Read original article]() Author: Peter Corless Published: 2026-01-13T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Artificial Intelligence](), [Streaming](), [Human-AI evaluation](), [Large Language Model](), [AI Strategy]() Tags: [ai](), [chatgpt](), [evaluation](), [gemini](), [google](), [linkedin](), [streaming]() ### AI overview This first part of a series examines the convergence of Artificial Intelligence and real-time data streaming in enterprise-scale systems. It argues that the AI industry's reliance on batch training creates systemic limits and that real-time data enrichment and streaming will be increasingly important. The article also presents a d20 drawing test for evaluating AI systems and compares results from ChatGPT, Gemini, Gemini / Nano Banana Pro, and Google Veo. ### Source excerpt If we can't get an AI to draw a realistic d20, how can we "roll the dice" on it? Learn about AI's limits and strategies to overcome them. ## Steuerrecht.com delivers client-ready legal analysis with ChatGPT DevFeed: [Steuerrecht.com delivers client-ready legal analysis with ChatGPT]() Original publisher: [Read original article]() Published: 2025-10-27T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [ChatGPT](), [AI Chat](), [knowledge-management](), [data]() Tags: [ai](), [article](), [artificial-intelligence](), [chatgpt](), [knowledge-management](), [legal](), [linkedin](), [tax](), [workflows]() ### AI overview Steuerrecht.com uses ChatGPT Business to expand a small law and tax advisory firm's capacity. The team applies it to tax research, marketing, contract drafting, professional publications, and knowledge management, reducing routine work and producing faster client-ready legal analysis. ### Source excerpt Steuerrecht.com uses ChatGPT Business to streamline legal workflows, automate tax research, and deliver faster, client-ready analysis for law firms. ## Three new features to help build brand momentum with Figma Buzz DevFeed: [Three new features to help build brand momentum with Figma Buzz]() Original publisher: [Read original article]() Author: Jasmine Stoy Published: 2025-10-23T00:00:00Z Content type: article Language: en Sources: [Figma Blog]() Topics: [Figma](), [Template](), [Code]() Tags: [ads](), [animation](), [asset-management](), [customization](), [design](), [design-systems](), [event](), [features](), [figma](), [linkedin](), [marketing](), [plugins](), [product-development](), [promotion](), [social-media](), [tools](), [video]() ### AI overview Figma Buzz introduces three features for creating branded marketing assets: configurable templates connected to design systems, plugins for tasks such as digital asset management and translation, and direct video trimming. ### Source excerpt With marketing templates that are now connected to your design system, plugins that pull in your favorite apps, and video trimming in Figma Buzz, we're giving designers and marketers new tools to create branded assets that speak volumes. ## Strategies for Developers to Improve Their Job Prospects in 2025 DevFeed: [Strategies for Developers to Improve Their Job Prospects in 2025]() Original publisher: [Read original article]() Author: Daniel Moka Published: 2025-04-26T05:00:27Z Content type: tutorial Language: en Sources: [Craft Better Software]() Topics: [Development](), [coding]() Tags: [2025](), [dev](), [how-to](), [job](), [linkedin]() ### AI overview A practical guide for developers seeking jobs in the difficult 2025 technology market. The available text emphasizes improving a CV and LinkedIn profile, including concise, tailored content and evidence of impact. ### Source excerpt How to land your dream job in this brutal tech market ## The Benefits and Costs of Building a Personal Brand DevFeed: [The Benefits and Costs of Building a Personal Brand]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2025-01-15T11:50:14Z Content type: opinion Language: en Sources: [Raphaël Hoogvliets]() Topics: [Website](), [Code](), [genai]() Tags: [blog](), [burnout](), [career](), [code](), [linkedin](), [mental-health](), [networking](), [personal](), [social-media]() ### AI overview The article argues that building a personal brand can help tech professionals with networking, learning, confidence, and career opportunities, but it also requires substantial time, may have an uncertain return, and can harm mental health through social-media use. The author concludes that it is valuable for some people but not suitable or necessary for everyone. ### Source excerpt Maybe you shouldn't be building a personal brand ## How to land your first developer job DevFeed: [How to land your first developer job]() Original publisher: [Read original article]() Author: per-borgen Published: 2024-11-01T00:00:00Z Content type: article Language: en Sources: [MDN Blog]() Topics: [coding](), [Code]() Tags: [article](), [career](), [developer](), [how-to](), [learning](), [linkedin](), [skills](), [tech](), [work]() ### AI overview The article presents six strategies for landing a first developer job, especially for self-taught programmers and people without a traditional computer science degree. It emphasizes combining prior industry experience with coding skills, using professional networks for referrals, and proactively contacting employees and following up during the application process. ### Source excerpt Here are six effective strategies for landing your first developer job. These are especially relevant if you're self-taught or breaking into the tech industry without a traditional CS degree. ## lnav - Awesome terminal log file viewer for Linux and Unix DevFeed: [lnav - Awesome terminal log file viewer for Linux and Unix]() Original publisher: [Read original article]() Author: Vivek Gite Published: 2024-06-16T11:04:42Z Content type: tutorial Language: en Sources: [nixCraft: Linux Tips, Hacks, Tutorials, And Ideas In Blog Format (RSS/FEED)]() Topics: [Terminal](), [Command-line interface](), [Linux](), [Unix](), [SQLite](), [SQL](), [Regular expression](), [ssh](), [OpenSSH](), [Databases]() Tags: [centos](), [debian-linux](), [developer](), [devops](), [facebook](), [filter](), [freebsd](), [how-to](), [install](), [linkedin](), [linux](), [open-source](), [reddit](), [reports](), [sql](), [sqlite](), [sysadmin](), [systems](), [terminal](), [unix]() ### AI overview A tutorial on lnav, a terminal-based log viewer for Linux and Unix. It explains how lnav identifies log details, combines files by time, supports colorized error highlighting, regular-expression filtering, SQLite queries, JSON formatting, remote access, and installation across several operating systems. ### Source excerpt It is no secret that whether you are a developer or sysadmin, you need to use log files to troubleshoot errors on your Linux and Unix systems. You use tools like grep, tail, cat, or journalctl to view log files. However, you may need help with so many log files. These essential Unix tools are suitable for basic text but fall short when dealing with many log files. You can get tired from sifting through endless lines of log files. The lnav utility is here to the rescue! It is a powerful log file viewer that goes beyond the basics. It understands your logs by identifying timestamps, log levels, and other vital details. You can run SQLite SQL queries against your standard log files and build reports for your needs. Let us see how to install and use the lnav tool quickly. Love this? sudo share_on: Twitter - Facebook - LinkedIn - Whatsapp - Reddit The post lnav - Awesome terminal log file viewer for Linux and Unix appeared first on nixCraft. ## How to add interface to vnstat to database for monitoring DevFeed: [How to add interface to vnstat to database for monitoring]() Original publisher: [Read original article]() Author: Vivek Gite Published: 2024-05-26T05:56:00Z Content type: tutorial Language: en Sources: [nixCraft: Linux Tips, Hacks, Tutorials, And Ideas In Blog Format (RSS/FEED)]() Topics: [Monitoring](), [Network](), [Linux](), [Unix](), [systemd](), [SQLite](), [Terminal]() Tags: [commands](), [easy](), [freebsd](), [installation](), [json](), [linkedin](), [linux](), [monitoring](), [network](), [network-interface](), [reddit](), [sqlite](), [ssh](), [systemd](), [twitter](), [unix](), [whatsapp](), [xml]() ### AI overview A practical guide to adding a network interface such as wg0 to vnStat for traffic monitoring on Linux and Unix-like systems. It covers listing interfaces, registering the interface, restarting the vnStat service, viewing output, and locating stored data and configuration files. ### Source excerpt vnStat is a network traffic monitor for Linux and Unix-like systems. It logs network traffic at different intervals and doesn't require root permissions to run. The implementation involves two commands: vnstat for querying traffic information and vnstatd for data retrieval and storage. Let's see how to add a network interface to vnstat after installation for monitoring purposes. Love this? sudo share_on: Twitter - Facebook - LinkedIn - Whatsapp - Reddit The post How to add interface to vnstat to database for monitoring appeared first on nixCraft. ## Brief History of Scaling Uber DevFeed: [Brief History of Scaling Uber]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2024-03-14T09:53:07Z Content type: article Language: en Sources: [High Scalability]() Topics: [Node.js](), [Back end](), [Concurrency](), [real-time](), [Python](), [LAMP]() Tags: [architecture](), [article](), [backend](), [blog-post](), [concurrency](), [lamp](), [linkedin](), [node-js](), [python](), [real-time](), [scaling]() ### AI overview This article traces Uber's technical scaling from its initial LAMP-based application to a backend using Node.js for real-time workloads and Python for another service. It describes early concurrency problems, the need to process real-time location data, and Node.js's asynchronous event loop and V8 engine as reasons for its adoption. ### Source excerpt This blog post was written by Josh Clemm, Senior Director of Engineering at Uber Eats. This is a repost from his LinkedIn article, approved by the author. On a cold evening in Paris in 2008, Travis Kalanick and Garrett Camp couldn't get a cab. That's when ## Finding a New Software Developer Job DevFeed: [Finding a New Software Developer Job]() Original publisher: [Read original article]() Author: Henrik Warne Published: 2024-02-11T16:57:27Z Content type: opinion Language: en Sources: [Henrik Warne]() Topics: [Job](), [Software]() Tags: [career](), [developer](), [interview](), [interviewing](), [job](), [job-hunt](), [job-search](), [jobs](), [linkedin](), [new-job](), [programming](), [software-developer](), [work]() ### AI overview A software developer describes finding a new job after being laid off, including the challenges of the search and the sources and preparation strategies he used. ### Source excerpt For the first time ever, I was laid off, and had to find a new software developer job. I managed to find a new one, but it took longer than I thought, and it was a lot of work. I ... Continue reading -> ## Goodbye, 2022. Hello, 2023 -- reflecting on a year of change, progress and incidents DevFeed: [Goodbye, 2022. Hello, 2023 -- reflecting on a year of change, progress and incidents]() Original publisher: [Read original article]() Author: Chris Evans Published: 2022-12-20T00:00:00Z Content type: opinion Language: en Sources: [The incident.io Blog]() Topics: [incident](), [incident management]() Tags: [company](), [customers](), [deals](), [incident](), [incident-channel](), [incident-management](), [incident-response](), [linkedin](), [outage](), [post-mortem](), [revenue](), [scale](), [slack-incident](), [space](), [startup](), [uk](), [us]() ### AI overview incident.io reflects on its eventful 2022, describing growth in revenue, customers, hiring, and expansion from the UK to New York. The article recounts how the company evolved from a side project addressing frustrations with existing incident management solutions into a growing startup, including the challenges of building the initial product, securing its first customer, and scaling the business. ### Source excerpt As we turn the page to 2023, we take a look back at an eventful 2022 at incident.io. ## Tech Layoffs: 2022 and Beyond DevFeed: [Tech Layoffs: 2022 and Beyond]() Original publisher: [Read original article]() Author: Rahul Pandey Published: 2022-11-13T18:15:54Z Content type: opinion Language: en Sources: [Alex Chiou]() Topics: [Software]() Tags: [audio](), [linkedin](), [software-engineer](), [tech](), [tech-industry](), [video]() ### AI overview A Taro newsletter discusses the aftermath and current and future state of tech layoffs, while also sharing a software-engineering recording and announcing a LinkedIn Audio event about getting work done in tech. ### Source excerpt Quick hits from Taro: ## Why leaving Facebook/Meta was the best thing we could do for the Trino Community DevFeed: [Why leaving Facebook/Meta was the best thing we could do for the Trino Community]() Original publisher: [Read original article]() Author: Martin Traverso, Dain Sundstrom, and David Phillips Published: 2022-08-02T00:00:00Z Content type: article Language: en Sources: [Trino Blog]() Topics: [data analytics](), [big-data](), [Open Source](), [SQL](), [Meta]() Tags: [analytics](), [big-data](), [company](), [leaving](), [linkedin](), [meta](), [netflix](), [open-source](), [sql]() ### AI overview The article explains why leaving Facebook/Meta enabled the creators of Presto to build a broader open-source community around a distributed SQL query engine for big data analytics. It describes how Presto grew beyond Facebook, attracted participation from companies including Airbnb, Dropbox, Netflix, and LinkedIn, and served a wide range of analytics needs. ### Source excerpt It might surprise some that our departure from Facebook was one of the simplest decisions we've ever made. Many posts that discuss leaving a FAANG company focus on leaving some grand sum of money or prestige of working at the company. For us, we were leaving the company where we had launched a project that we knew would quickly outgrow the walls of Facebook, and solve a much larger set of problems in the analytics domain. At the time we didn't quite anticipate that Presto, a distributed SQL query engine for big data analytics, would be adopted around the globe by thousands of companies and an overwhelming number of industries. We appreciate Facebook for serving as the launchpad that inspired others to adopt Presto. Despite the harmonious beginnings, once the needs of the community and Facebook no longer aligned, we had to leave, but we'll get to that part shortly. [Next page]()