Unify's Multi-Path A/B Testing for GTM Teams

Need help: What’s your framework for evaluating new software and tools? Genuinely asking. Because it’s chaos out there (in a good way!)😅 and increasingly my clients are asking me to help them navigate this. What I can clearly see is that tiny teams are building amazing products that would’ve required 50+ engineers just 5 years ago. AI-assisted coding is really unlocking change in that way… Suddenly, niche problems that were “too small” to solve? They’re now getting their own SaaS it seems. Most of these tools will fail. That’s reality. But for a product hunt junkie like me it’s dopamine walhalla to play with all these demos 😄. Additionally the intense competition is driving quality up and prices down, which is great for buyers in the long run. Except… If you’re the one responsible for choosing your next CRM (for example) right now, it’s completely overwhelming. Do you trust the sales pitch? Go with the household name (HubSpot)? Bet on the rising star (Attio)? Get adventurous with the newest player (Lightfield)? If you rely on reviews, you’re always a late adopter. Maybe that’s fine for your org (legal, compliance, etc.). But there has to be a better way to evaluate tools, right? So I’m asking: What criteria do you actually use when evaluating new martech? What’s working? What’s not? Any frameworks or resources that helped you cut through the noise? Drop your approach below, I’d love to learn from how others are navigating this.

🚀 Built a Application Notification Automation for a Growing Startup. I recently built an automation system using Google Forms + Make to fix a critical gap in a startup’s application workflow. ❗The Problem: 📉 Some applications were getting missed. 🔕 No structured notifications for newly enrolled candidates. 🕒 Manual review slowed down the process and reduced attention on each applicant. ⚙️ What I Built: 📩 Automated workflow that instantly sends every candidate’s details to the admin via email. 🛑 Mandatory field validation (no submission without email or contact number). 📊 Clean, consistent data that makes evaluation smoother. ✅ Impact: ⚡ Instant delivery of every application. 🔍 Zero missed submissions. 🙅♂️ No manual checking required. I enjoy breaking down client problems and creating automations that cut effort, remove repetitive tasks, and save real time. 💡Open to new challenges — every workflow I build pushes my skills further.

𝗧𝗵𝗲 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗸𝗲𝗲𝗽𝘀 𝗱𝗲𝗯𝗮𝘁𝗶𝗻𝗴 𝘄𝗵𝗶𝗰𝗵 𝘁𝗼𝗼𝗹 𝗶𝘀 "𝗯𝗲𝘀𝘁." That's the wrong question. 𝘛𝘰𝘰𝘭 𝘴𝘦𝘭𝘦𝘤𝘵𝘪𝘰𝘯 𝘪𝘴𝘯'𝘵 𝘢 𝘤𝘰𝘮𝘱𝘦𝘵𝘪𝘵𝘪𝘰𝘯. 𝘐𝘵'𝘴 𝘤𝘰𝘯𝘵𝘦𝘹𝘵. n8n excels at production-grade automation. Complex logic, error handling, enterprise integrations. If you need reliability at scale, it's unmatched. But that same depth creates friction when you just need to test an idea. Opal does the opposite. Natural language to functional workflow in minutes. Perfect for prototyping content systems before committing engineering time. Neither replaces the other. They solve different problems. The pattern I see in effective marketing ops: Strategic teams don't optimize for a single tool. They build layered systems: • Rapid prototyping layer (Opal, Claude for ideation) • Production automation layer (n8n, Make for reliability) • Intelligence layer (Perplexity, custom APIs for real-time data) • Distribution layer (native platform tools for final execution) Each layer serves a specific function. Each tool operates within its constraint envelope. What I built this week: A content system (I named it 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝗲𝗿, boring? I know.... 🫠 ) that takes a topic input and generates platform-specific assets: blog, infographic, LinkedIn carousel, short-form video scripts, social captions. Built in Google Opal. Zero code. Could I build this in n8n? Yes. Would it take significantly longer? Also yes. The decision wasn't about capability—it was about time-to-validation. Here's what matters: Most marketing discussions focus on tactics: which feature, which integration, which workflow. The real leverage is in knowing when speed matters more than stability—and when stability is non-negotiable. That judgment doesn't come from following trends. It comes from understanding your constraint: time, budget, technical capacity, or strategic risk. If you're still debating n8n versus Zapier, you're optimizing the wrong variable. The question isn't which tool wins. It's which problem you're actually solving. #AIAutomation #B2BMarketing

We don’t have an automation problem. We have a trust problem. And no amount of AI workflows can fix that. This week I learned a lot about anti-scaling from Will Fuentes and his team. I learned a ton during Maestro Momentum this week. Everyone’s chasing bigger systems, more automation, faster funnels. But the most interesting ideas I heard were surprisingly human. Here were my 3 biggest takeaways: 1) Don’t over-automate, real personalization still wins. We’ve all been told automation is the secret to scale. And yes, it helps, until it quietly starts repelling the very people you’re trying to attract. The irony is that as everyone automates their outreach, responses, and marketing, real personalization has become the new scarcity. You don’t stand out by sending more messages, you stand out by sending one that feels written by a human who actually paid attention. The best automation isn’t replacing you. It’s making it easier for you to show up as you. If your system saves time but costs authenticity, then it’s not efficient, it’s just sterile. 2) Shrink the promise sizes, but deliver more of them. This one flipped a switch for me. Most of us think trust is built by making bigger promises like “We’ll change the game,” “We’ll 10x your results.” But big promises actually create big skepticism. Small promises, kept consistently, create momentum of belief. People don’t trust you because of what you say you’ll do, they trust you because of what you’ve already done. So instead of selling “transformation,” try selling the next small win. Then deliver it. Then repeat. It’s not as flashy, but it compounds faster than hype ever will. 3) Measure momentum, not just motion. We celebrate motion because it’s visible. Calls are being made, demos are happening, deals are “in play.” But motion without momentum is just noise since it’s activity that feels good in the moment but doesn’t move the deal any closer to a decision. Momentum, on the other hand, is directional. It’s what happens when every interaction actually advances the relationship and when you can feel the gravitational pull of a deal moving toward “yes.” It was important to remember that the goal of sales isn’t to stay busy. It’s to keep the deal moving forward. What I loved about these ideas is that they’re all a little anti-scale. They’re reminders that growth isn’t about doing more things faster, but instead it’s about doing the right things with care, consistency, and clarity. Automation is powerful. But trust, delivery, and momentum still move markets. So after all this, I need to step back and ask myself: Am I building systems that amplify connection or just activity? Thanks again to Will, and the Maestro Group team like Asad Ali, Michael Valade for sharing a ton of insights that'll help us grow SendTurtle - Sign, Send, and Summarize Documents with AI!

𝐒𝐡𝐢𝐩 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 7 𝐝𝐚𝐲𝐬 𝐰𝐢𝐭𝐡 𝐧8𝐧 (𝐟𝐨𝐫 𝐞𝐚𝐫𝐥𝐲-𝐬𝐭𝐚𝐠𝐞 𝐭𝐞𝐚𝐦𝐬) If you’re building your first version of ops, don’t hire a team—wire it with an AI flow. Over the last few months, we’ve been standing up n8n + AI agents that remove manual work and get founders their time back. 𝘞𝘩𝘢𝘵 𝘸𝘦 𝘤𝘢𝘯 𝘴𝘱𝘪𝘯 𝘶𝘱 𝘧𝘢𝘴𝘵 -Lead capture → qualify → CRM: Auto‑enrich inbound leads, score by fit, route to the right inbox, and nudge follow‑ups. -FAQ + support agent: A site widget that answers personalized questions, escalates edge cases, and logs tickets with clean handover. -Content-to-LinkedIn flow: Draft posts from briefs, generate images, and publish/schedule—stays in your tone with a human‑in‑the‑loop step. -Ops alerts + reporting: Daily KPIs to Slack/Email, anomaly alerts, and weekly snapshots you can forward to investors. -Hiring assist: Parse resumes, match to JD, generate interview scripts, and send polite rejections without sounding robotic. 𝘞𝘩𝘺 𝘯8𝘯 + 𝘈𝘐 Fast to ship, easy to change, and cost‑efficient at early stage. Works with your stack (Sheets, Notion, HubSpot, Slack, Gmail, WordPress, etc.). Human‑in‑the‑loop guardrails, versioning, and audit trails built in. 𝐏𝐢𝐥𝐨𝐭 𝐨𝐟𝐟𝐞𝐫 (𝐥𝐢𝐦𝐢𝐭𝐞𝐝) 7‑day “Flow Sprint”: pick 1 use case, we design → build → test → handover with a Loom and playbook. Fixed fee, zero lock‑in. Add‑ons: your brand voice prompt pack, admin dashboard, and on‑call support for 30 days. 𝑪𝒐𝒎𝒎𝒆𝒏𝒕 “𝑭𝒍𝒐𝒘” 𝒐𝒓 𝑫𝑴 “𝒏8𝒏” 𝒂𝒏𝒅 𝑰’𝒍𝒍 𝒔𝒉𝒂𝒓𝒆 𝒂 𝒒𝒖𝒊𝒄𝒌 𝒑𝒍𝒂𝒏 𝒇𝒐𝒓 𝒚𝒐𝒖𝒓 𝒔𝒕𝒂𝒄𝒌. #n8n #AIAutomation #Startups #NoCode #Ops #MarketingAutomation #AgenticAI

Your team mates are hiding something Here's what they won't tell you   "My process is broken"   Why?   Because it’s awkward   Here is another one.   When a team members says: → “It’s manageable” → “Not a big deal” → “We’re fine”   They’re usually hiding something.   Like… → 90-minute daily workarounds → Broken tools they lobbied for → Messy fixes they never logged   Admitting the truth feels like admitting failure. Nobody wants to have that conversation. And when you ask: “Can you tell me what's your workflow?” What they hear is: “Show me everything you’ve been doing wrong.” So they downplay. But if you wanna help, you can’t just take what they give you. You dig. How?   → Start with this: “I’m not here to audit you. I’m here to make your life easier.” → Call it out: “I know this feels weird. But I can’t fix what I don’t know.” → Normalize it: “Every team has messy processes. The good ones just admit it faster.” → Ask permission: “Can I ask some follow-ups?” Real story: Marketing ops manager says their attribution is “fine”. 40 minutes in: “I spend 3 hours before every board meeting manually updating our CRM” That’s a $30K/year problem. Hiding behind “we manage.” Awkward silence is not the enemy. It’s the signal. → “Tell me more about that.” → “How long’s that been happening?” The best B2B teams? They get good at awkward. Because that’s where the real problems live. btw. Looking to build internal automations? Wanna see how I run these convos without burning bridges? I've got a full list of Questions to ask inside the 7-day AI Roadmap Challenge. Let me know in the comments below.

So I'm building something different. Multi-agent workflows that actually think: Agent 1: Research - Scans LinkedIn posts, company news, tech stack - Pulls real signals, not just job titles - Finds what they actually care about right now Agent 2: Reasoning - Connects dots between their challenges and your solution - Identifies the right angle for this specific person - Decides what matters most to them today Agent 3: Writing - Crafts genuinely helpful outreach - Sounds like a human who did their homework - References real things, not generic pain points Then syncs everything back to HubSpot properties. Example output: "Noticed your post about scaling challenges with your SDR team. When we grew from 10 to 50 reps, documentation became our biggest bottleneck too. Here's the playbook that saved us..." Not revolutionary. Just... actually useful. Looking for 3 beta testers who: • Use HubSpot for outbound • Have 1000 - 10000 prospects to test with • Want AI that enhances, not replaces, your team • Can handle early-stage rough edges You get: First access + direct input on features I get: Real feedback + use case validation Fair warning: This is week-one research. Things will break. But we'll fix them together. DM "BETA" if you want in. P.S. Visited Opa and Oma's this weekend and got a tour of Opa's new tool shed.

𝐖𝐡𝐲 𝐔𝐬𝐞𝐫𝐬 𝐂𝐚𝐧'𝐭 𝐒𝐭𝐨𝐩 𝐔𝐬𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 💡 Nir Eyal’s Hooked Model explains why some products feel irresistibly engaging. If you’re building SaaS or scaling user engagement, this isn’t optional, it’s your retention roadmap. 🔁 The Four Stages of the Hook: 1. 𝐓𝐫𝐢𝐠𝐠𝐞𝐫 – The Call to Action • External: Notification, email, ping. • Internal: Emotion like boredom, stress, or FOMO. ➡️ Best triggers tap into real pain points, not spam. 2. 𝐀𝐜𝐭𝐢𝐨𝐧 – Make It Effortless • Simplicity drives behavior. • Minimize friction → maximize completion. ➡️ 1-click imports > manual uploads. Test onboarding flows like your product depends on it - because it does. 3. 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 𝐑𝐞𝐰𝐚𝐫𝐝 – The Dopamine Hit • Predictable = boring. • Variable = addictive. ➡️ Mix rewards: insights, achievements, surprises. Think Slack notifications — you never know what you’ll find. 4. 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 – Lock Them In • Users invest time/data → product gets more valuable. ➡️ Profiles, templates, integrations = switching cost skyrocket. Encourage early investment. 𝐁𝐞𝐟𝐨𝐫𝐞 & 𝐀𝐟𝐭𝐞𝐫 Before: Users sign up → try once → churn. After Hooked: • Trigger – Timely report • Action – Click to view insights • Reward – Confetti + metrics • Investment – Saved workflows Result: Retention up. Churn down. The Hooked Model works. Use it to solve problems, not to manipulate behavior. The best products feel addictive because 𝘵𝘩𝘦𝘺’𝘳𝘦 𝘶𝘴𝘦𝘧𝘶𝘭.

I’ll be honest I used to think automation tools were all the same. Zapier, Make.com… pick your poison, right? Then I discovered n8n and everything changed. Here’s the thing, most automation tools are built for marketers. Simple triggers, nice UI, limited logic, but n8n feels like it was built for builders. It’s open-source. It gives you full control over data, branching logic, code nodes, web hooks and custom functions all in one flow. You can automate your entire client onboarding, build a Slack chatbot, trigger AI workflows or even run a full micro-SaaS… all without hitting a “premium plan” paywall every 10 minutes. Beginners can start with drag-and-drop workflows. Developers can go deep: self-host, customise, integrate APIs and turn workflows into backend systems. I’ve tested nearly every automation builder out there and n8n is the one tool that never makes me feel limited. If you’re serious about automation, learn n8n. It’s the closest thing to “no-code freedom” I’ve ever found. We’re just getting started 🚀

The sales team automated five different writing tasks without touching a single line of code. Lead qualification, note summaries, proposals—all running in the background. These are "AI ghost apps." Single-purpose tools that work invisibly. No UI. No servers. Just smart automation. Here's what they built in under 30 minutes each: • Lead qualification bot • Discovery note summarizer • Proposal generator • Compliance risk checker • Follow-up planner The secret? Narrow scope plus clear instructions. Think of it like hiring a specialist. Not a generalist who does everything poorly. Each ghost app does one thing really well. Platforms like Botpress and Chatbase make this possible. Drag-and-drop builders. No coding required. The time savings add up fast. Minutes per day become weeks per year. Your focus shifts from writing to editing. From building to directing. This isn't about replacing people. It's about freeing mental energy for what matters. Strategy. Relationships. Decision-making. The future belongs to those who can describe their thinking clearly. Not those who write code. What repetitive writing task would you automate first? #NoCode #AIAutomation #Productivity 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/g8SWYsF8