"Building a finance tracker with ANWESH BELLAMKONDA in #ProductSpace"

𝐓𝐡𝐞 𝐅𝐢𝐧𝐚𝐥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐂𝐥𝐚𝐫𝐢𝐭𝐲 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐂𝐡𝐚𝐨𝐬 11 weeks ago, I was drowning in my own company. Missed follow-ups. Constant rework. Everyone asking the same questions twice. I didn’t need another app, I needed clarity. At first, I thought I was just building a tool. I was wrong. What we ended up building was a new operating system for how a team works, rooted in one belief: clarity is the ultimate competitive advantage. After weeks of live testing, frustration, and breakthroughs inside Legend, we’ve crystallized it. This is the system we’re embedding into the DNA of Deemerge. The Growth Clarity Framework How to scale clarity without scaling chaos: 1. Integrate Deeply, not Widely. More tools ≠ more clarity. You need a single source of truth. Force the ones you already use to actually work together. 2. Scale with AI Guidance. Use AI not to report what happened but to guide what should happen next. Let it nudge you toward the next right move. 3. Refine with Community Feedback. The founder can’t be the only brain. Create ruthless feedback loops from inside the team and outside your walls. This isn’t theory. This is the actual operating system behind our turnaround at Legend. And the foundation for how we’re building Deemerge from the inside out. What’s your #1 rule for scaling clarity? #Scalability #ProductManagement #Framework #FounderJourney #BusinessGrowth

A/B test saved my roadmap. +18% usage in 10 days-data beats opinions every time. Here’s what happened ↓ We planned a new dashboard for our EdTech platform. Everyone had a strong view on “the best layout.” → Designers wanted clean. → Sales pushed for more features. → I thought we needed better onboarding. Daily active use stayed flat.  That’s the signal I watch. So, the approach? ↳ Testing, not guessing. We set up a simple A/B test: → Version A: Minimal design, fast onboarding → Version B: Feature-heavy, lots of tooltips Talked to dozens of users. Checked heatmaps. Tracked every click. After 10 days: → Version A: +18% usage → Version B: No change That’s it. No debate. No “gut feeling.” The data spoke. We killed Version B. Shipped the winner. From this simple truth: 𝐄𝐯𝐞𝐫𝐲 𝐫𝐨𝐚𝐝𝐦𝐚𝐩 𝐟𝐢𝐠𝐡𝐭 𝐢𝐬 𝐣𝐮𝐬𝐭 𝐧𝐨𝐢𝐬𝐞 𝐮𝐧𝐭𝐢𝐥 𝐲𝐨𝐮 𝐬𝐞𝐞 𝐭𝐡𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬. Lesson? ↳I trust the process, not my pride. It’s hard, but it works. Now, I try A/B test every feature I can. Saves time. Saves money. Builds trust with the team. Thoughts? #ProductManagement #ABTesting #DataDriven #ProductStrategy #StartupLife #Growth #BuildMeasureLearn #Execution #ProductDesign #LeanStartup 🔗📲 Follow me, Viktor Shumylo, for more real-life stories on the hustle of immigration, insights on Strategy, AI Products, and Operational Management! 📣 And don't hesitate to repost it, so your network can benefit from these insights too

Quote from Andrew Ng that nails what we’ve felt at Skarbe in 2025: “If you can build a prototype in a day but wait a week for product feedback, that’s your real bottleneck” This is exactly what happened to us in 2024/2025. With gen AI, we can ship features insanely fast. But what slowed us down, and still does, is deciding what’s worth building at all. We’re now at almost 300 customers. Every week, I get a flood of raw, unfiltered feedback. It’s constant. And honestly, that’s what’s shaping the product way more than anything we imagined at the whiteboard stage. My biggest lesson: -> Product owners are now the bottleneck, not engineers. -> You can ship features in hours. But figuring out what actually solves a real problem (and what to say “no” to) takes deep customer empathy and fast decision-making. Most days, that’s on me + Alex (co-foudner and CTO) I’ve spent 6 years as a PM and product leader in B2B saas unicorn, thought I “got it.” But nothing humbles you like hundreds of real users giving feedback, often pulling you in different directions. It’s not about collecting votes or shipping requests. It’s about feeling the customer’s pain and quickly turning that signal into a better product. What works for us now: -> Building tight feedback loops: weekly check-in calls, chat groups, emails, real voices, not just data. -> Giving the product owner real power to say no, focus, and act fast. Waiting for consensus = dead end. -> Shaping the roadmap in real time, not quarterly, not monthly, but actually IN REAL TIME! Bottom line: -> AI makes building fast. The real work is listening, deciding, and shaping. Every. Day. -> Product ownership isn’t just a job, it’s the constraint for every AI startup right now. Any folks out there feeling this shift as you scale?

Not in the Curious Tinkerin’ phase? Then you might be in the Tool-Led Hustle, and that’s the most common stage I see. AI is live (not yet ALIVE!) The PoCs worked (you feel ALIVE!) Now leadership wants ROI yesterday (not too ALIVE!). Here’s what that looks like in the real wild world: 1) You’ve launched 3+ pilots. An AI email copilot, a chatbot MVP, maybe a rec engine. But they live in silos, no unified oversight, no shared tooling. 2) Architecture is starting to crack. Each pilot used different tools. Now security and risk are playing catch-up. You’re building while sprinting. Your AI council meets monthly. Your team is exhausted...but excited. 3) Compliance is reactive. Logs? Sometimes. Acceptable Use? Evolving. You’ve had your first incident, and that’s the wake-up call (ALIVE now?) 4) Training is happening...but lopsided. Devs are deep in APIs. PMs are scrambling for frameworks. Execs want dashboards... yesterday. The key at this stage? >>>Momentum without mess. >>>Show ROI without burning out. If this is your organization right now "Tool-Led Hustle" ....what’s your biggest challenge? Data? Risk? Dev velocity? Together we build --- 💬Comment because your opinion matters! ♻️ Repost if resonates! 🔔Connect with me Gaia Camillieri for People-Led Product+Data+AI

AI projects rarely fail because the tech isn’t promising. They stall because the people behind them aren’t aligned. 🧩 PMs, engineers, data teams, execs — all speaking different languages, running on different timelines, and chasing different definitions of success. That’s where Time-to-Intelligence (TTI) comes in. It’s more than a metric — it’s a shared map to get everyone on the same page: 🗺️ Where are we right now? ⏭️ What’s coming next? 📈 When will we see real results? TTI connects technical execution to business outcomes — so teams don’t get stuck in: ❌ Pilot purgatory ❌ Scope creep ❌ “Let’s circle back next quarter…” 📘 Learn how it works → https://tti.dev 

⚠️ You can build an AI product in 48 hours now. That’s exactly why so many founders are screwing it up. With tools like Vibe Coding, shipping has never been easier. You can go from idea to live product in days - not months. But here’s the shift: ❌ The question isn’t can you build it. ✅ The question is: should you? I’m speaking with multiple founders right now who are skipping the customer development part entirely. They’re charging ahead, building features - without first checking if anyone actually wants them. No interviews. No validation. Just vibes and velocity. 🚀 Tools evolve. But principles don’t. Lean Startup thinking is more important than ever: Validate the problem before you write a single line of code. Talk to customers before you commit to features. Use prototypes as a learning tool, not a vanity milestone. The upside? You can get to something tangible faster than ever. Which means you can get to truth faster too. 💡 Lesson: The real advantage isn’t speed to product. It’s speed to validation. 📸 Pictured: Me with the author in London, 2012. 🕵️♂️ Bonus points if you can guess which book launch it was. Drop it in the comments 👇

"Most MVPs fail because they try to solve 10 problems poorly instead of 1 problem brilliantly." Everyone misunderstands MVP. Minimum doesn't mean broken. Viable doesn't mean barely functional. I use the SLC framework instead: - Simple: Easy to understand and use - Loveable: Users actually want to use it - Complete: Solves one problem end-to-end Example: Slack's MVP wasn't "messaging with bugs." It was complete team communication that was simple and genuinely delightful to use. Your Cursor-built prototype might tick the "minimum" box but it does it really tick the "loveable" box? If users tolerate your product instead of choosing it, you've built a demo not an MVP. 👉 The difference matters more than ever. With AI tools making it trivial to build software, the bar for "good enough" has actually risen. 👈 #MVP #ProductStrategy

In 2025, anyone can clone your product. AI made that inevitable. Your code? Reproducible. Your features? Copy-paste. Your UI? A weekend project. What can’t be cloned? 👉 The audience you’ve earned. 👉 The trust you’ve built. 👉 The channels you dominate. The best founders don’t just ship product.. they ship distribution. They own a newsletter with 50K subscribers. They run a community that actually shows up. They build with customers in public so competitors are always 6 months late. VCs know this. That’s why they ask about growth loops, not just features. That’s why they bet on founders who can move markets, not just move pixels. The real moat isn’t IP anymore. It’s demand. And the founder who owns distribution, owns the outcome.

The most important conversations in product are changing. We're spending less time architecting deterministic feature logic and more time shaping the behavior of probabilistic models. For decades, our craft was rooted in certainty: if a user clicks X, then Y happens. We built roadmaps on these predictable outcomes. That foundation is shifting as we build with stochastic systems—models that don't give one right answer, but a distribution of possibilities. This forces a fundamental change in our role. We're moving from being architects of features to becoming designers of relationships. The user's interaction with the product is less about using a tool and more about engaging with an agentic collaborator. Our job is to define its goals, personality, and boundaries. Think about the recent push towards true on-device, OS-level agents. This isn't just about faster chatbots. It's about an ambient intelligence layer with context from our photos, calendars, and messages. The 'product' is no longer the app you open; it's the proactive suggestion the agent makes before you even think to ask. This completely upends our launch cycle. "Shipping" is no longer the finish line; it’s the starting gun. Incredibly challenging, but these are the most exciting times to be building.

Models won't tell you the impact you'll have. But they are still essential tools. 📆 Day 9 / 13 Product Strategy Series Over 13 days I cover all aspects of product strategy. TODAY: 𝗜𝗠𝗣𝗔𝗖𝗧 𝗠𝗢𝗗𝗘𝗟𝗟𝗜𝗡𝗚 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮𝗻 𝗶𝗺𝗽𝗮𝗰𝘁 𝗺𝗼𝗱𝗲𝗹? Impact models map how changes in your product influence key metrics. They  make your assumptions explicit and help you sense check them. 𝗪𝗵𝘆 𝗶𝘀 𝗶𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? • 𝗖𝗹𝗮𝗿𝗶𝘁𝘆: Helps you test and refine your hypotheses. • 𝗖𝗿𝗲𝗱𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Shows you’re not building blind, especially as you become more senior. • 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲: Helps you demonstrate how investing in product translates into impact. 𝗛𝗼𝘄 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗶𝗺𝗽𝗮𝗰𝘁 𝗺𝗼𝗱𝗲𝗹 1. Start with your 𝗻𝗼𝗿𝘁𝗵 𝘀𝘁𝗮𝗿 𝗺𝗲𝘁𝗿𝗶𝗰 (e.g., revenue, retention, adoption). 2. Break it down into the 𝗱𝗿𝗶𝘃𝗲𝗿𝘀 (e.g., activation, engagement, churn). 3. Map out the 𝗹𝗲𝘃𝗲𝗿𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 (e.g., onboarding, notifications, feature adoption). 4. Assign rough assumptions — not to get perfect numbers, but to see how changes cascade through the system. 𝗪𝗮𝘆𝘀 𝘁𝗼 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲 𝘂𝗽𝗹𝗶𝗳𝘁: • Look at the impact you have had in the past • Calibrate with user interviews, quant tests and other discovery • Look at the variation between segments • Ask: What would we need to believe for this to make sense? • Aim to get the order of magnitude right, not a precise number. 𝗧𝗶𝗽𝘀 & 𝘁𝗿𝗶𝗰𝗸𝘀 • 𝗗𝗼𝗻’𝘁 𝘁𝗿𝗲𝗮𝘁 𝗶𝘁 𝗹𝗶𝗸𝗲 𝗮 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁. Models won’t tell you if a feature will succeed. • 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽𝘀, 𝗻𝗼𝘁 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻. Garbage assumptions = garbage outcomes. • 𝗞𝗲𝗲𝗽 𝗶𝘁 𝗹𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁. A back-of-the-envelope model is often more useful than a detailed spreadsheet no one reads. • 𝗨𝗽𝗱𝗮𝘁𝗲 𝗼𝗳𝘁𝗲𝗻. Your model should evolve as you learn more. 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲? ✅ Follow me ✅ Come back tomorrow for Day 10: 𝗥𝗼𝗮𝗱𝗺𝗮𝗽𝘀 ✅ Read more on Hustle Badger: https://lnkd.in/ed9qZEDn