Samuel Wong @samuelwong.bsky.social · 3hTop performers don’t wait for trainings or a demonstration. They’re autodidacts, which puts them in a better position to benefit from AI. The autodidacts build literacy through trial, rapid iteration, comparisons with others, feedback, and social information exchange. 000
Samuel Wong @samuelwong.bsky.social · 4hLike giving everyone a gym membership: the regulars who already train get dramatically stronger, while newcomers need a coach and a programme, not just the keycard. 100
Samuel Wong @samuelwong.bsky.social · 4hWhat Top Performers Do Differently with AI & Why They See the Biggest Benefits AI rewards the people who already perform & teach themselves, so closing the gap means hiring for learning drive & rebuilding the entry-level pipeline, not buying more tools hbr.org/2026/10/what...hbr.orgWhat Top Performers Do Differently with AI—and Why They See the Biggest BenefitsAI isn’t simply replacing sales work or automatically equalizing sales performance; it’s providing disproportionate lift to individuals and organizations that can build systems around their inherent s... 210
Samuel Wong @samuelwong.bsky.social · 17hThere's no AI-ready culture, only the muscle to keep adapting: measure impact, reward learning, and put intelligence around people instead of handing decisions to AI. 000
Samuel Wong @samuelwong.bsky.social · 17hThere’s No Such Thing as an AI-Ready Culture hbr.org/2026/10/ther...hbr.orgThere’s No Such Thing as an AI-Ready CultureOrganizations today need to simultaneously perform (run the business reliably for today) and transforming (change the business for tomorrow). The challenge is that most organizations are much better w... 100
Samuel Wong @samuelwong.bsky.social · 22h2 Free Tools to Learn Agentic Analytics 1. Anatomy of an Agentic Analytics System 2. AI Evals, Step by Step open.substack.com/pub/futurepr...open.substack.com2 Free Tools to Learn Agentic AnalyticsA new way of learning AI for data scientists 000
Samuel Wong @samuelwong.bsky.social · 13/10/2026Visibility isn't self-promotion, it's service scheduled like client work, and confidence is the receipt you collect after acting, not the ticket you need beforehand www.startupdaily.net/advice/i-spe...startupdaily.netI spent years hiding from the very thing that built my businessIn this edited extract from What You Came Here to Create, Bec Sands explains why visibility matters for business growth. 000
Samuel Wong @samuelwong.bsky.social · 13/10/2026"Context" is at least 10 products wearing 1 word; check what's stored, who owns it, and whether permissions are enforced at fetch, or you're buying a renamed catalog. 000
Samuel Wong @samuelwong.bsky.social · 13/10/2026Context Decoded: 10 Meanings of Context in AI Context: What Do They Mean When They Say It? Navigating the ten things called “context”, how they fit together, and which ones matter moderndata101.substack.com/p/10-meaning...moderndata101.substack.comContext: What Do They Mean When They Say It?Ten things called “context”, how they fit together, and which ones matter 110
Samuel Wong @samuelwong.bsky.social · 12/10/2026When AI does the charting, value moves to knowing what to ask for and whether the answer is right, so learn modelling and design fundamentals, not DAX. 000
Samuel Wong @samuelwong.bsky.social · 12/10/2026Claude Dashboards and the shift from chart builder to chart specifier A hands-on look at Claude’s new dashboarding feature, and what it means for visual analytics practitioners thedatavist.substack.com/p/claude-das...thedatavist.substack.comClaude Dashboards and the shift from chart builder to chart specifierA hands-on look at Claude’s new dashboarding feature, and what it means for visual analytics practitioners 110
Samuel Wong @samuelwong.bsky.social · 11/10/202610 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling) Love the “high alpha, low beta” framework for evaluating people, processes, and products open.substack.com/pub/lenny/p/...open.substack.comMatt MacInnisRippling's CPO on why you should deliberately understaff projects, how to recognize true product-market fit, why VCs want you to keep failing, and the frameworks that built a $16B company 000
Samuel Wong @samuelwong.bsky.social · 11/10/2026AI Does (and Does Not) Work for Data Storytelling AI accelerates data storytelling for people who already have the judgment to direct and reject it; without that foundation it just automates mediocrity and removes ownership analyticshour.io/2026/09/29/3...analyticshour.io#307: AI Does (and Does Not) Work for Data StorytellingThere's a version of this episode where AI replaces the data visualization expert entirely, and there's a version where it's useless without one. Neither is quite right, according to Cole Nussbaumer K... 000
Samuel Wong @samuelwong.bsky.social · 11/10/2026Product leadership hiring now demands an executive builder who can prove it live, and once AI fluency is universal, domain depth and judgment are what win the search. I tend to think domain depth is not a moat. 000
Samuel Wong @samuelwong.bsky.social · 11/10/2026Three Top Executive Recruiters on Where Product Management Is Going What the hottest companies look for when they hire a head of product theskip.substack.com/p/three-top-...theskip.substack.comThree Top Executive Recruiters on Where Product Management Is GoingWhat the hottest companies look for when they hire a head of product 100
Samuel Wong @samuelwong.bsky.social · 10/10/2026Treating intent inference as one act of generation, not a chain of clustering steps, beat a multi-stage pipeline at scale, and the same recipe works for any platform with sequential activity. 000
Samuel Wong @samuelwong.bsky.social · 10/10/2026From Activity to Intent: Generating User Journeys with LLMs at Pinterest medium.com/pinterest-en...medium.comFrom Activity to Intent: Generating User Journeys with LLMsLin Zhu | Sr. Staff Machine Learning Engineer; Manan Kalra | Machine Learning Engineer II; Byung Eun Jeon | Sr. Machine Learning Engineer… 100
Samuel Wong @samuelwong.bsky.social · 10/10/2026Anything visible on screen can be specified and rebuilt, so defensibility now lives where specs can't reach: accountability, live data, trust, and owning outcomes instead of selling tools. 000
Samuel Wong @samuelwong.bsky.social · 10/10/2026Your Moat Is Dead. Anyone Can Rebuild Your Product AI just made rewriting Photoshop a side project for a dozen engineers. That kills one kind of defensibility and makes every other kind more valuable open.substack.com/pub/techfoun...open.substack.comYour Moat Is Dead. Anyone Can Rebuild Your Product.AI just made rewriting Photoshop a side project for a dozen engineers. That kills one kind of defensibility and makes every other kind more valuable. 120
Samuel Wong @samuelwong.bsky.social · 10/10/2026AI success isn't delegated, it's decided: the CEO who raises ambition, redesigns work around human-agent teams, and visibly learns in public is the whole difference between the 6% who win and everyone else. 000
Samuel Wong @samuelwong.bsky.social · 10/10/2026The CEO’s singular impact on the success or failure of AI in organisations www.mckinsey.com/capabilities...mckinsey.com 110
Samuel Wong @samuelwong.bsky.social · 09/10/2026The agent is the small part of agentic analytics: context, clean data models, and evals are what actually make the numbers trustworthy. 000
Samuel Wong @samuelwong.bsky.social · 09/10/2026AI Agents for Analytics: 8 Case Studies From Real Companies How Anthropic, OpenAI, Ramp, Pinterest, and others built AI analysts their teams rely on every day open.substack.com/pub/futurepr...open.substack.comAI Agents for Analytics: 8 Case Studies From Real CompaniesHow Anthropic, OpenAI, Ramp, Pinterest, and others built AI analysts their teams rely on every day 100
Samuel Wong @samuelwong.bsky.social · 09/10/2026Netflix rebuilt notifications around Kahneman's Thinking, Fast & Slow: a slow policy plans your week of messaging, a fast policy picks the right message in the moment. Biggest production lift to date, especially for casual viewers. 000
Samuel Wong @samuelwong.bsky.social · 09/10/2026Thinking Fast & Slow for a Personalized Notification System netflixtechblog.com/thinking-fas...netflixtechblog.comThinking Fast & Slow for a Personalized Notification Systemby Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire Dorman 110
Samuel Wong @samuelwong.bsky.social · 09/10/2026Model intelligence is becoming a commodity, so the durable product is the harness around it: the rules, memory, permissions, and evaluation that make capability controllable instead of surprising. 000
Samuel Wong @samuelwong.bsky.social · 09/10/2026The Harness Is the Product: How Agents Are Actually Built in 2026 The model brings intelligence. The harness decides whether you can control it, direct it, and trust it in production medium.com/data-science...medium.comThe Harness Is the Product: How Agents Are Actually Built in 2026The model brings intelligence. The harness decides whether you can control it, direct it, and trust it in production. 100
Samuel Wong @samuelwong.bsky.social · 09/10/2026Builders are getting 4 things wrong: 1. Building for today's models, not 10x better in a year 2. Hand-tuning agent loops instead of systems that learn 3. No interfaces or economics for agent-driven traffic 4. Neglecting delightful human experiences 000
Samuel Wong @samuelwong.bsky.social · 09/10/2026The next era is a permanent, screen-less intelligence that acts on most of the internet for you, and the winners will build for agents at scale without forgetting that taste, simplicity, and human connection are what's actually left to compete on. 100
Samuel Wong @samuelwong.bsky.social · 09/10/2026OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) Tibo Sottiaux on why Dots is OpenAI’s biggest bet, why agents will dominate internet traffic, and what builders are still getting wrong open.substack.com/pub/lenny/p/...open.substack.comOpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo SottiauxListen now (37 mins) | Tibo Sottiaux on why Dots is OpenAI’s biggest bet, why agents will dominate internet traffic, and what builders are still getting wrong 100
Samuel Wong @samuelwong.bsky.social · 08/10/2026Pinterest's bet is that the boring governance work of making metrics discoverable, graded, and machine-readable is exactly what makes them usable by AI agents, since an agent is only as good as the trusted data it can see. 000
Samuel Wong @samuelwong.bsky.social · 08/10/2026Metrics Board: Building an Agent-ready Metrics Layer medium.com/pinterest-en...medium.comMetrics Board: Building an Agent-ready Metrics LayerMichele Ceccacci; Software Engineer I | Jason Coffman; Sr. Software Engineer | Colm O’Shaughnessy; Software Engineer II | Laura Palmer… 110
Samuel Wong @samuelwong.bsky.social · 08/10/20265 Jev Use Cases for Analytics, with Real Queries and Datasets 1. AI agent log analysis 2. Social listening 3. Sales call analysis 4. Job posting market analysis 5. Text parsing (replacing hand-written parsers) motherduck.com/blog/jev-ana...motherduck.com5 Jev use cases for analytics, with real queries and datasets | MotherDuckFive prompt_jev() use cases on real data, with SQL you can rerun: AI agent traces, Hacker News sentiment, sales calls, cloud job postings and a regex replacement. | Reading time: 15 min read 000
Samuel Wong @samuelwong.bsky.social · 08/10/2026As AI turns mental exertion from livelihood into choice, the defining question stops being "what can I do?" and becomes "what do I want to stay good at?", and that answer has to come from knowing yourself, not from the tool. 000
Samuel Wong @samuelwong.bsky.social · 08/10/2026What will we use our minds for? AI, mental gyms, and the most important choice we face lg.substack.com/p/what-will-...lg.substack.comWhat will we use our minds for?AI, mental gyms, and the most important choice we face 100
Samuel Wong @samuelwong.bsky.social · 08/10/2026The Difference Between Data & Information Data is what software consumes and formats; information is data with the relevance and purpose of a workflow attached, and only the second one lets agents own outcomes instead of just presenting them vinvashishta.substack.com/p/the-differ...vinvashishta.substack.comThe Difference Between Data & InformationInstead of giving you another textbook definition, I’ll explain it at the workflow level. 000
Samuel Wong @samuelwong.bsky.social · 07/10/2026AI has ended hand-written code & is reshaping how teams ship (parallel agents, harnesses, one-engineer projects) The engineers who thrive will trade mechanical skill for domain wisdom & AI fluency while the industry rebuilds its infra. around agents open.substack.com/pub/pragmati...open.substack.comThe state of the tech industry in 2026A look into what has changed, what’s still the same – and what’s broken – in the tech industry. The full video and the summary of my keynote at LDX3 New York 000
Samuel Wong @samuelwong.bsky.social · 07/10/2026Decision models just became a commodity gold rush almost overnight, so the winners will be chosen by tooling lock-in and boring production criteria (calibration, latency, swap cost) rather than launch-day benchmarks that are stale within a month swapniltalekar.substack.com/p/the-decisi...swapniltalekar.substack.comThe Decision Model Gold RushJev had competitors before it had a changelog 010
Samuel Wong @samuelwong.bsky.social · 07/10/2026Learn faster with AI by systematising the boring parts (roadmaps, resources, scheduling, practice questions) so your brain spends its effort on retrieval and judgement, not logistics. 000
Samuel Wong @samuelwong.bsky.social · 07/10/2026How I Use AI to Learn New Topics Faster: An AI-Assisted Learning Framework A practical framework for turning AI into a thinking partner towardsdatascience.com/how-i-use-ai...towardsdatascience.comHow I Use AI to Learn New Topics Faster: An AI-Assisted Learning FrameworkA practical framework for turning AI into a thinking partner 110
Samuel Wong @samuelwong.bsky.social · 07/10/2026How doing less with AI beat years of productivity hacks A disciplined approach to using AI (no AI-maxxing hacks included) 1. Experiment: Find what you like 2. Double down: Narrow in on your core pieces 3. Explore: Add some personality taylaburrell.substack.com/p/i-started-...taylaburrell.substack.comI started doing less with AI and found myself more productive than I’d been in yearsMy disciplined approach to using AI (no AI-maxxing hacks included) 000
Samuel Wong @samuelwong.bsky.social · 06/10/2026New for some (order takers), not new for some (strategic business partners). Data teams win by learning to speak business, not by perfecting their models, analysis that can't connect to why the company exists and how it makes money is technically right and practically useless. 000
Samuel Wong @samuelwong.bsky.social · 06/10/2026A Practical Guide to Understanding Your Business as a Data Person The blueprint for aligning data teams with business reality moderndata101.substack.com/p/understand...moderndata101.substack.comA Practical Guide to Understanding Your Business as a Data PersonThe blueprint for aligning data teams with business reality. 100
Samuel Wong @samuelwong.bsky.social · 06/10/2026Top 100 Consumer AI Apps - Seventh Edition Top web and mobile AI products by monthly traffic open.substack.com/pub/a16z/p/t...open.substack.comTop 100 Consumer AI Apps - Seventh EditionTop web and mobile AI products by monthly traffic 000
Samuel Wong @samuelwong.bsky.social · 06/10/2026And having access to all of these interesting people helps to connect to more great companies and lovely challenges. It builds over time and can for sure be a win for everyone. 000
Samuel Wong @samuelwong.bsky.social · 06/10/2026Being an operator-creator is an amazing flywheel. Solving hard problems for cool companies means great stories and insights that turn into interesting content. Interesting content attracts large groups of interesting people. 100
Samuel Wong @samuelwong.bsky.social · 06/10/2026How to survive a double life as an operator-creator Thoughts on how to juggle content stuff and having a day job open.substack.com/pub/elenaver...open.substack.comHow to survive a double life as an operator-creatorThoughts on how to juggle content stuff and having a day job. 110
Samuel Wong @samuelwong.bsky.social · 06/10/2026Persuasion leaves its own mechanics transparent and still works, manipulation doesn't, and learning to tell them apart is what lets technical builders claim credit for the value they create instead of depending on someone else to collect it. 000
Samuel Wong @samuelwong.bsky.social · 06/10/2026Influence Is A Critical Career Capability vinvashishta.substack.com/p/how-to-dea...vinvashishta.substack.comHow To Deal With Manipulative LeadersThis is one of the most common question categories during office hours, and it’s part of a major reboot for this newsletter. 110
Samuel Wong @samuelwong.bsky.social · 06/10/2026AI amplifies whatever problem definition it's given, so if you can't write down the decision and its evidence first, you haven't earned a shot at real impact and you're on track for a graveyard of AI products like the dashboards of the last decade. 000