Geoff Brookins

Scaling isn’t just about adding headcount. It’s about focus, structure, and building systems that can handle real complexity without unnecessary overhead. On Domain Name Wire, Unstoppable CEO and founder, Matt Gould, shares how we think about growth, engineering priorities, and staying lean while building serious infrastructure.

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🌟 The SaaS world moves fast, and scaling efficiently requires strategic alignment, operational rigor, and cross-functional coordination. Fractional COOs are helping early- and mid-stage SaaS companies grow seamlessly while maintaining agility. At 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲, we’re committed to 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗮𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗶𝘁𝘆—spotlighting leaders who combine operational expertise with strategic insight to drive measurable results. 👋 𝗠𝗲𝗲𝘁 Dawn Strobel, 𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗢𝗢 Dawn helps SaaS companies align strategic objectives with day-to-day execution, ensuring scalable growth without sacrificing agility. She specializes in operational strategy, cross-functional alignment, process optimization, and efficiency audits. Here’s what she’s known for: ✅ Operational strategy for scaling 🏷️ Cross-functional alignment 🌟 SaaS process optimization 🔎 Operational efficiency audits Dawn empowers SaaS teams to scale smarter, improve performance, and operate with clarity—turning strategy into action at every level. 🔗 Learn more about Dawn Strobel and other Fractional COO professionals for SaaS companies here: https://lnkd.in/dSzCuv-R

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Ketryx is one of the fastest growing tech companies in the Boston area! The company recently announced a $39M Series B round of funding to build out the infrastructure for regulated AI. We held a hiring event with 4 of the leaders from the company, including Tim Brodeur, VP of Customer Success. This video includes snippets that are related his team. A link to the jobs is added to the comments section. In this video, he shares: * Details on the Customer Success & Delivery team * Size of the team and growth * Responsibilities of the team * Positions they are currently hiring for * Who would be a good fit for the roles

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Claude is revolutionizing n8n workflow development! 🤯 Design, execute, verify, and document automations with a single smart prompt. No hours of setup, no technical expertise, no expensive consultants needed. Try Claude before paying $5k–$10k for n8n setup – it might just surprise you! 🚀 #PromptDrivenDevelopment #Automation #n8n

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If you run a business outside of software, you’ve likely missed how completely the software development field has been disrupted. Over the past year, I’ve spoken with dozens of leaders across independent and family-owned businesses in New England. One pattern keeps coming up: Many smart, experienced executives haven’t seen how dramatically the world of knowledge work has ALREADY changed because of AI. The first profession to be radically transformed by AI was software engineering. Much of what used to take a team weeks - designing, writing, and testing code - specialized AI can now do (mostly) reliably in literal minutes or hours, with humans increasingly acting as orchestrators & reviewers. Today, even at giant longstanding companies like Microsoft and Google, ~30% of ALL NEW CODE is now AI-generated and rising quickly according to Microsoft CEO Satya Nadella. And they have thousands of engineers... at earlier stage startups with less legacy code, this percentage can be far higher 🤯 Let that sink in. For decades, learning to code was considered one of the most durable career paths in the world. Within ~3 years, AI began writing, designing, and reviewing a large portion of that code. Tech job postings are still down 36% from 2020 levels (Indeed Hiring Lab), and hiring of new graduates in tech has fallen more than 50% (SignalFire). Senior engineers are increasingly orchestrating teams of specialized AI systems to do far more with far fewer people. So why did this disruption happen to software first? Because improving coding ability is the highest-ROI capability for frontier AI labs (Anthropic, OpenAI). If AI can write better code, it helps engineers build better AI models. Those better systems then improve themselves - a powerful feedback loop. But they are not stopping there. OpenAI has reportedly hired 100+ former Wall Street investment bankers to train models on financial analysis. Across the industry, teams of lawyers, analysts, economists, and domain experts are now being recruited to train AI in their fields. Their goal is simple: Teach AI to perform every category of knowledge work done on a computer. Which is… most white-collar work. Meanwhile, many businesses outside tech still treat AI like: • a future discussion • a curiosity • or a productivity tool for interns That is a dangerous misunderstanding. Large corporations and Private Equity firms are already investing tens of billions into AI systems, data infrastructure, and automation across their companies. They are not experimenting. They are rebuilding how companies operate❗ If independent and family-owned businesses wait years to respond, they will be competing against organizations that have been compounding AI & data advantages the entire time. The AI revolution is not a future conversation. It is already meaningfully restructuring the workforce. And many businesses outside software still don’t realize it. ~85% of New Hampshire businesses are family-owned!

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