Matthew Roche

🧀 𝐎𝐧𝐥𝐲 𝐨𝐧𝐞 𝐦𝐚𝐢𝐧 𝐟𝐫𝐚𝐮𝐝 service?  That's like locking your front door and leaving every window wide open. 𝐌𝐞𝐞𝐭 𝐒𝐥𝐢𝐜𝐤 — 𝐚 𝐟𝐫𝐚𝐮𝐝𝐬𝐭𝐞𝐫 𝐰𝐡𝐨 𝐬𝐥𝐢𝐩𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐬𝐢𝐧𝐠𝐥𝐞-𝐥𝐚𝐲𝐞𝐫 𝐝𝐞𝐟𝐞𝐧𝐬𝐞𝐬 𝐥𝐢𝐤𝐞 𝐛𝐮𝐭𝐭𝐞𝐫 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐒𝐰𝐢𝐬𝐬 𝐜𝐡𝐞𝐞𝐬𝐞 𝐡𝐨𝐥𝐞𝐬. In Part 1 of our 3-part series, Clutch breaks down why relying on one single fraud check / vendor is a recipe for disaster. 👇 🔹 Synthetic identities? He's got those. 🔹 Device fingerprinting? He rotates like burner phones. 🔹 Knowledge-based auth? He bought your mom's maiden name for $3. No single layer is perfect. But what happens when you start stacking them? 🤔 Drop a comment if this hits home — and stay tuned for Parts 2 & 3 this week. #FraudPrevention #Fintech #SwissCheeseModel #RiskManagement #Clutch

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Your PMM role is changing: How to build human+AI workflows that define what's next That's what I'll cover on April 1 at Product Marketing Alliance's Product Marketing Summit in Denver. I will show HOW I guide AI live using various AI platforms. Your launch campaign workflow could connect positioning, messaging, content, and sales enablement in one flow. Your sales enablement workflow could build pitch decks, dynamic sales prep dashboards, and interactive ROI calculators. This becomes possible when you move from using AI to building with it. The PMM's job is changing. Trailblazing PMMs are building AI teammates trained on their expertise, connecting them into workflows across functions, and deciding how humans and AI work together. They're writing the new job description themselves. You'll see real workflows for product launches and sales enablement, and a tool that helps you identify which workflows to build and which AI teammates to connect. You'll learn: ► How to find workflow ideas and decide which are worth building for PMM work ► How to design workflows that create new value, not just speed up existing processes ► How to evolve your role from AI user to builder and orchestrator Looking forward to learning from an insightful line-up of speakers on April 1-2. Come join us. See link in comments for more info and to register.

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Performance agencies sometimes think they need to differentiate by building proprietary tech. I’ve seen that story many times — and I disagree. I recently had a check-in with two C-level execs at a performance agency. We’d been delivering exceptional results for their clients, including a $33 CPA using our machine learning optimization engine, compared to $120 manually. But performance wasn’t their focus. They'd decided to build new tech in-house. “If other agencies can use tvScientific,” they said, “we’re not unique.” It brought to mind the New York Times’ decision to build its own ad server — a costly, years-long detour that ended with a move back to DFP. The problem was a lack of clarity about what business they were really in and what they were positioned to excel at. The same applies to performance agencies. They’re not in the business of building ad tech (which is a constantly evolving, capital intensive business and is an entire business in its own right). They’re in the business of delivering outcomes. That means using the best tools available on the market and winning on superior client service. Not rebuilding tools from scratch. The edge comes from execution — knowing how to evaluate, adopt, and apply best-in-class technology to drive better results. Trying to be both a tech company and a service business is a recipe for subpar results on both fronts. Instead, invest in identifying cutting-edge technology, use it better than your competitors, and deliver both superior results and superior client service. That’s the path to agency differentiation. Just my .02. More detailed thoughts on this topic in my weekly newsletter (see comments).

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There are plenty of AI note takers doing simple recaps, but if your commercial team is processing high call volumes weekly, transcripts sitting in folders don't help much. Claap just released a significant product update that lets you mine thousands of conversations in three clicks. They let you interrogate all your conversations through an intuitive interface, extracting patterns, insights, and actionable intelligence from what was previously an unwieldy archive. You can see how power users are already finding creative applications through the template library below. While most B2B apps are trying to build data walls around their applications, I'm excited to see Claap take the opposite approach. They organize your sales conversations and data to fuel intelligent workflows across your different applications and jobs, wherever commercial insights add value. Next week, they're launching their MCP integration to make these datasets actionable by any AI agent outside Claap's platform... More to come! Robin Bonduelle Pierre Touzeau Thomas Hernandez https://lnkd.in/dVrUwPUW

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The SMS interactions between brand & consumer contain incredibly rich context for 1:1 personalized commerce experiences. Postscript is the platform enabling such experiences. On this week's episode, Rishabh and I sat down with Adam Turner to explore how SMS evolved from an abandoned-cart afterthought to a 1:1 sales & marketing channel. We covered: - Category creation and the rise of the “SMS marketer” - Compliance and quality as product design principles - Moving from broadcast to conversational journeys - Building distribution in the Shopify ecosystem, then scaling a sales-led motion - Where AI has augmented vs reinvented both marketing products and teams Link in comments

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Back in 2015, I was a software engineer building the invisible infrastructure that helped publishers monetize with ads. Not the polished front end, but the backend stack: ad serving, bidders, exchange auction logic, data enrichment, attribution, verification. Every time you loaded a page, we ran an auction in milliseconds to match an impression with an ad, ideally relevant, but always revenue generating. That system was complex, but it monetized the open web and kept most of the internet free for decades. That model is now changing. AI labs are cutting direct deals with publishers like Axel Springer and platforms like Reddit. Users spend less time clicking through Google results and more time asking ChatGPT, Claude, or Perplexity. Google was about sifting through citations. Chatbots are about generating synthesized answers for almost any question you ask. This shift puts pressure on the open web. Volunteer communities are thinning out and moving to walled ones (e.g. Discord and Slack). High-quality content is moving behind paywalls. The rest is getting noisier as AI-generated filler proliferates. The traditional journey of search → click → impressions → ads is changing. Large language models are becoming the new distribution layer for content. Publishers once optimized for Google’s crawlers; now they need to understand how they show up in model responses. Search intent was powerful; chat intent is even more precise. Search revealed what you wanted, chat reveals why you want it. Full post in the comments.

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In 2026, many portfolio brands are still carrying website decisions made years ago. What was easier at the time is now leading to slower execution, added complexity, and frustrated franchisees. You are missing out on one of the key benefits of multibrand franchisors today: economies of scale and shared resources for one of your core technologies. 2026 is the year to stop putting it off. Unify your brands and teams on a single foundation. Stop being held back. Focus on growth. #franchise #websites

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Lots of new AI goodness from Heroku team for app and agentic development, bringing powerful tech to developers without adding complexity and cognitive load -- simplicity and ease of use are critical to maximize productivity -- but business require this to be secure and operationally efficient. Check out these three new releases for Heroku's Managed Inference and Agents: 🌟 Added support for OpenAI's new open-weight model, gpt-oss-120b https://lnkd.in/gF98nA2R 🌟 Support for LlamaIndex to build data aware AI apps https://lnkd.in/gJj22YG4 🌟 Support for Pydantic AI - a popular agent framework for #python https://lnkd.in/graThjk6 Salesforce #Heroku Python #PydanticAI #LlamaIndex #OpenAI Salesforce Developers #AI #LLM #AIAgents #softwareengineering #developers

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Jim Becher describes in depth how he uses tools like HeyGen, n8n, and Appify to create a fully automated content engine that thinks, writes, and speaks in his voice. Check out the full video: https://lnkd.in/et2Sz9R9

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AI is now changing how we connect, date, and fall in love. Our new Norton Insights Report: Artificial Intimacy reveals that 77% of current online daters in the US would consider dating an AI, and a majority believe it’s possible to develop real romantic feelings for one. This is happening against a backdrop where more than four in five people feel lonely, especially younger generations, and are increasingly turning to technology to fill emotional gaps. But where emotions go, scammers follow. Social engineering threats, those that manipulate us and prey on our most human emotions, now account for over 90% of all digital attacks on people. AI can make relationships feel more “real,” but it also makes manipulation more scalable and convincing. At Gen, we’re focused on protecting people at the exact moments they’re most vulnerable, when they’re looking for connection, advice, and support online. With AI-powered Scam Detection, identity monitoring, and device-level protection, we’re working to ensure that technology can enhance human connection without putting our safety at risk. Learn more and read the full report: https://lnkd.in/eMmcKnau

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If you are running your job board on a legacy platform that has not seen any significant updates in the past 3 years - like the front-end, product features, core web vitals, and page speed —now is a good time to change. Especially if the only thing that changed was pricing. In many cases, a properly executed migration to a newer platform with just better core web vitals and page speed will be enough to see a 30-40% increase in organic traffic for any job board.

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We’ve been cooking up something special… a new VC Series on The GTMnow Podcast drops next week! Media has been a part of GTMfund since the very beginning. And in 2023, we even re-acquired Sales Hacker, the company I once founded. We rolled it up and relaunched it under our media brand, GTMnow. Since then, we’ve been delivering the stories and lessons from the top 1% of Operators, to help people build and scale with the best minds in tech. Sophie Buonassisi has done a great job hosting this and will continue to do so. Every month, we send our LP update packed with investment insights. Every month, we consistently hear from our GTM leader LP base that we should share these thoughts more publicly. People want the investing side because it helps them fundraise smarter, get career leverage, understand liquidity options, make better personal investments, and see the market through a different lens. So, we’re launching a new monthly VC series that I will be hosting! This new series adds the element of “invest” under our media platform. GTMnow: Build, scale, and invest with the best minds in tech. Thank you to AngelList for partnering with us on this series. Each episode starts with Paul Irving and me breaking down: - What we’re seeing in the market right now - Commentary and takeaways on the insights shared in the episode Subscribe on GTMnow to get the first episode when it drops next week. It’s with an old friend and the legend of S-1s, if you can guess who 👀

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