10x Founders: Speed vs Discipline in Startup Success

I have spoken to 50+ early-stage founders this quarter and some things still surprise me : 1. AI is everywhere. Differentiation isn’t. Almost every deck mentions AI. Very few explain why their approach is defensible - Tools don’t create edge, Insight does. 2. Storytelling is still the biggest gap. Good products, strong teams — but the narrative doesn’t connect the dots. 3. Strong founders must have conviction. We are not just evaluating ideas; we're also evaluating conviction. Strong founders can explain: what they’re building why it matters now why they’re the ones to win …in a few sentences. If it’s confusing, it’s usually because the thinking isn’t sharp yet. 👉 Conviction + Clarity matters. If you can’t communicate it, you can’t scale it. Kuldeep Mirani Radhika Jain, CFA Krunal Bhatt Baljeet Gujral Sanjita Talreja CA Jagariti Mathur Drishti Mehta Aamanat Bakhshi Mili Shah BeyondSeed #pitchtowin #startupsuccess #beyondseed

Everyone says focus. But focusing too early nearly killed my startup. I chose an audience before the market showed me where the real pull was. That’s the trap. Product market fit isn’t something you decide. It’s something you uncover. Now I’m zooming out. Listening more. Testing more. Following what’s pulling, not what I assumed. If you’re a business owner who wants to actually implement AI (not just talk about it) Send me a message.

If you have the guts to build something, you should also have the guts to talk about it. I remember hesitating once. I had an idea but chose not to pitch it. Later, in the same group, someone presented something very similar and it worked. That moment stayed with me. Why did I hold back? Why did I not speak up? No one stopped me. The only barrier was the hesitation before the first step. A friend standing next to me joked, “Skeletons don't start conversations because they lack the guts.” I was offended and replied, “Even people with guts hold back sometimes.” But that joke stayed with me. Most of the time, what stops us is not ability, but our hesitation. When you are looking for investors, a CTO, early customers, or believers in your vision, the biggest barrier is not communication. It is the moment of hesitation before you reach out. That is the real test. Now coming to what we are building. We are AI builders working on Stobay ai. Many businesses today have enormous knowledge stored in documents, SOPs, PDFs, and folders. But they struggle to turn that knowledge into meaningful conversations with their audience. Stobay solves that. It is a no-code agentic platform that turns your proprietary business knowledge into a trained agent. One that learns from your data, engages your audience, and builds client relationships through every conversation. If I had to advise the younger version of me, I would say to myself that sometimes the biggest step forward is not your idea, but the courage to start the #conversation. Today, I am happy to see that Stobay ai helps in breaking the barriers in conversation. #StopHesitating #BuildersTalk #ShipYourIdeas #BuildersTalk #BuildInPublic

Starting over is the hard part. Starting over with my brother Guillaume Blachon is the easy part. After 10 years, Rise Up is profitable, doing 8 figures in revenue. You'd think that feels comfortable. It doesn't. You feel like you're reaching the end of something. And the idea of going back to zero, even psychologically, is super heavy. You haven't sold your company. You haven't taken a break. You're just… adding another challenge on top. It took us 12 months of knowing we should do it before we actually did it. 12 months where the head and the body weren't aligned yet. What finally moved me: I talked to a lot of founders in our space. Most of them hadn't grasped the scale of what AI was about to change. They were convinced they still had years ahead to sell their company comfortably. We chose not to wait. And honestly? I think we started 12 months too late. But here's what I've learned: the sooner you jump, the sooner you hit real problems. And hitting real problems is the only way down the learning curve. No one's going to hand you the perfect timing. You just go. --- I'm Arnaud, the founder and CEO of Rise Up. I share the real story of spinning off a new AI company after 10 years of building Rise Up. Follow along if you're into the unfiltered version.

I asked Claude if my plan was solid. "Honestly? No. And here's exactly why." I paused. A little defensive. Then I reread it. It was right. Most AI tools I'd used before were yes machines. They took a flawed premise and built a beautifully structured answer on top. The output looked great, but the foundation was sand. That response reminded me of something I've seen working with founders on GTM and RevOps. The best founders are open to being wrong. When you say, "your ICP is too broad" or "this pipeline metric is masking the real problem," they lean in. They ask why. They push back. Sometimes they change their mind. That openness isn't weakness. It's how signal gets in. The founders who struggle usually aren't lacking talent or ambition. They're just too attached to the first version of their thinking. A GTM strategy that should have been questioned in week two can run for six months. Pushback starts to feel like a threat. So people stop raising it. Then the market pushes back instead. And the market is a much harsher teacher. Being open to ideas isn't the same as lacking conviction. It's knowing the difference between defending your vision and defending your ego. An AI reminded me of that. The best founders already know it.

What is your Moat? As a senior entrepreneur — and I mean that age-wise — I help founders navigate high-stakes strategic decisions. Lately, one question keeps coming up: "What's your moat?" Or more pointedly: "Aren't you just a wrapper around a powerful LLM?" VCs are making this concrete. A reporter built a Monday.com-like app in under an hour using Claude Code. MNDY stock dropped 21% the next day. That got my attention. If AI models are commoditized, what actually separates winners from the rest? This forced me to think harder about what really matters. The answer isn't about model access. It's about what you build on top of those models. Here's the framework:

When do you know it's time to pivot? A lot of founders hit that moment. The data isn't moving. The meetings feel heavier. The thing you told investors you'd build just isn't working. As an early-stage investor, I see more pivots than successes. The ones who make it through? They don't all make the same move. There is more than one way to pivot, but choosing the wrong one can kill a perfectly good company. The more traditional approach is that when the original hypothesis is fundamentally broken, and the founders might go, "Fuck it, let's set up a new company." One of our portfolio went through 5 hard pivots since 2018. Each time they hit a wall, they discontinued the old business and started from scratch. 6 months ago, their founder came to me to say that they had hit over $300k/month in revenue with strong MOM growth. I almost fell out of my chair. It’s an extreme example, but it’s proof that this path can work. What’s important is to prove that your broken hypothesis and form a new one as quickly as possible. It used to take years to realise a business model wasn’t working, or to prove that you have no real defensibility. With AI, founders can often figure that out in a matter of months. Right now, markets move faster. AI moves faster. Competition appears overnight. Founders need to be brutally sharp about spotting blindsides early. Is what you’re building actually defensible? Is there a real moat forming? What matters is recognising early whether you actually have the foundations of: ▪️Deep workflows that take months to map and integrate into customer operations ▪️Data loops that improve the product with every interaction ▪️Institutional knowledge that customers build into the system over time ▪️Domain expertise from founders who actually understand the job they’re automating In other words, the advantage isn’t the model itself. It’s everything around it. Hard pivots are painful, but sometimes the fastest path forward is to stop defending what isn’t going to scale. Kill it. Learn. Start again. And of course, it must be done with the kind of grit that keeps you going after being proven wrong, again and again.

Nobody warns you that leaving the trades doesn't feel like a promotion. It feels like starting over from zero. I spent years running NXT Total Homes. Managing crews. Dealing with clients. Fixing problems at 6am that nobody else was going to fix. I was good at it. Then I walked away to build an AI agency of all things. For the first few months, I didn't know who I was. Here's what nobody tells you before you make that kind of pivot: The hardest part isn't the learning curve. Learning Claude Code, Cursor, n8n... that took weeks. Getting comfortable operating without the structure of an existing business... that took longer. The trades give you something most industries don't: immediate, tangible proof that you're competent. You build the wall. You see the house built. Job done. AI is nothing like that. You build something invisible. You make decisions that won't have measurable outcomes for months. You iterate on systems nobody can see. And some days I miss the simplicity of the trades. Some days I can't believe I waited this long to make this move. Both are true at the same time. Here's what actually helped: The skills transferred more than I expected. Every operator instinct I built running a real business applies directly to AI. Client management. Workflow design. Cost control. Knowing what's actually broken vs. what just looks broken. The difference is the medium. I'm not building walls or slapping steel on a roof anymore. I'm building systems. But the operator brain is the same. If you're sitting on a pivot you've been putting off. The identity crisis you're afraid of is part of the process. It's not a sign you made the wrong call. It's a sign you're actually doing something new. What's the biggest identity shift you've navigated as a founder? #FounderJourney #HarbourviewAI #AIAgency #Entrepreneurship #AI #Ottawa

Founders don't have time to work on a great pitch. So today, I'm excited to announce our launch of Dunky AI! Dunky AI evaluates pitches. We built Dunky AI to help you speed up the process of creating a compelling pitch. Work with Dunky to get instant feedback on how well you're communicating the most compelling components of your startup and understand what you need to address. Note: Dunky is specifically tuned to what we look for at Hustle Fund - pre-seed focus, product-market fit signals, clear go-to-market strategy, traction and market opportunity. Disclaimers: We deliberately did not connect this with our CRM, so you can practice and iterate your story before you actually pitch us in a low pressure environment. As such, this is strictly for practice-purposes, and Dunky's opinions may not 100% align with our investment team's (though we've trained it to be as close as possible). Check it out here: https://lnkd.in/gxsHTP23

My co-founder Elizabeth Yin has not been sleeping very well over the past few weeks as she's fallen down the AI rabbit hole. She's been shipping software nonstop, and one of her products she is sharing with the public is a pitch analyzer called Dunky AI: https://lnkd.in/gfyeeDQW Just speak to Dunky AI your elevator pitch, and get a hot take as to whether your pitch would work with an investor or not. I encourage you all to check it out!