... right and is more useful than either, and the revised version went up this month, so it's worth twenty minutes before you write your Q4 plan. It's NBER working paper 35275, Demirer, Musolff and Yang - "Writing Code vs. Shipping Code." More than 500,000 GitHub developers, matched against their actual AI usage telemetry rather than a survey, in a matched event study design. The headline numbers are large and I have no interest in arguing with them. Cumulative ... ... cost of building the wrong thing dropped and so did the friction that used to stop us. Two caveats. It's a working paper, revised this month, and the marketplace analysis is the part I'd most want replicated

... your domain. Setting up a simple Google Alert for your product name costs nothing and saves you massive headaches later. Lean into Native Authenticity: A fake clone site can copy your landing page text, but they can't replicate a notarized, code-signed, high-performance native macOS binary. Trust is your biggest asset as an indie builder - make sure your app signing, trial flow, and site security are bulletproof. Turn weird setbacks into storytelling: Sharing the clone incident openly didn ...

... hope some of our lessons help you get further than we did... Three lessons I keep coming back to First, the lessons, in case you churn before reaching the timeline. 1. Simple and obvious is good. Hard to replicate is better. Ting always felt obvious to me. Why wouldn t you want to CC an AI into an email thread and have it manage the repetitive work for you? The same was true of WhatsApp. Wouldn t it be useful ... ... that if you re building a Google feature, it won t be long before Google builds it. They did. So did Superhuman, Read AI and plenty of others. If I did it again, I d find something harder to replicate

... useful even if you have zero retouching skills you're basically borrowing someone else's eye. Curious what this community thinks especially if you've dealt with the "I love this photo's color grade but can't replicate it" problem before. Would love feedback (or brutal honesty) on where this is useful vs

... away from stripe, it's the same parent. the roadmap's gone pretty quiet there too. if the whole point is not having stripe as a single point of failure, polar or creem or paddle are the real alternatives. paddle is probably overkill until past ~$10k mrr, it's built for scale rather than launch. Comment from Matthias Str lman(@matthias_stralman): @busmark_w_nika  creem is a good fit for where you are, low fee, merchant of record ... ... nika  Fair point, and yeah I overcomplicated it Simplest version: run more than one product, and most CRMs turn into a mess. LiftUp keeps each product's stuff cleanly separate so you always know what's what. Competitors

... product itself is no longer the moat, what is? Based on my opinion: network effects become a more interesting moat in the AI era. You can't vibe-code your way to 3 billion WhatsApp users. You can't replicate a payment network by writing better software. The value is the network itself, the accumulated relationships, the flows of value between users. A simple example: Airbnb: you can rebuild the feature set with AI tools in weeks, but you cannot ... ... replicate

... annoying in the specific way that's actually useful the way a good cofounder or an honest advisor is annoying. Felt strange, Do I need this? Should I tone down the instructions? I don't know if everyone can replicate this exactly. Curious who else has tried shaping how their AI pushes back, not just what it outputs. Comment from Ghost Kitty(@ghost-kitty-9924132): Comment Deleted Comment from Roopesh Donde(@roopesh_donde): @tumblar_kevin  Exactly, it's very ... ... absolutely right", "That makes a lot of sense", "Absolutely", "Definitely". If you catch yourself typing one, delete and rewrite. Argue on the structure. When I'm wrong, say: "I disagree because [reason]. Here's what I'd do instead [alternative

... about their own work. They are the ones who consistently contribute insight others find useful. Their signal-to-noise ratio is high enough that when they do talk about their work, people pay attention. A well-designed feed algorithm replicates that dynamic at scale. What This Means for Builders Practically, the shift means one thing. Post like a professional, not like a marketer. Share what you actually learned this week. Write about the technical decision you made ...

... which one. most people default to ChatGPT for everything when different tools have very different strengths. Comment from Sina Meraji(@sinamerajii): claude code @Willow Voice @Cloudflare twitter lol Comment from Sumit Singh Chauhan(@sumit_singh_chauhan): My 5: 1. VS Code 2. Loom 3. Google Sheet (I have replaced so many other tools but just plain google sheet now) 4. Apple Calendar & Reminder 5. Google Drive After trying at least dozens of tools for a decade, I settled ... ... solo founder, these are the five tools I use almost every day: ChatGPT VS

... reason why people somehow feel when something is authentic, and authentic stories have rough texture. The AI-generated stuf is very smooth and frictionless. Real stories are full of friction and uncertainty and specific details that are hard to replicate. Your guerrilla marketing concept sounds great and it's probably true the same goes for online environment. What makes the difference is specificity. Comment from dipesh(@debnix): @busmark_w_nika   Mixed honestly. For the complex parts Shopify authentication, billing ... ... already losing the attention game. Comment from Riya Pariyar(@riya_pariyar): @busmark_w_nika  fair point, and i'd slightly push back. yes, ai can mimic backstage photos, stories, even tone. but what it can't replicate

... Maintaining a "human" touch in a world saturated with AI automation requires a shift from efficiency to empathy. While AI can handle repetitive tasks and data processing at scale, it cannot replicate genuine human intuition, shared experiences, or the nuances of emotional intelligence. Many founders make the mistake of automating their entire customer journey, only to realize they have built a "cold" product that lacks soul. The key lies in using AI to handle the heavy lifting behind the scenes ...

... this format bringing builders together around a specific problem or tool, and creating moments that generate content, community, and product feedback all at once. The companies investing in real-life community are getting something that no ad spend can replicate. People who feel ownership over the product's success. So I'm curious: Have you built or been part of a product community that went beyond online? Do you think in-person events are a real growth lever or just ... ... They stop being a user. They become a stakeholder. They tell people. Not because of a referral programme but because they feel like they helped build something. That's the thing in-person events do that no ad spend replicates

... that trusts you content that attracts the right users communities where your product can grow products that are easy to recommend and share Features can be copied faster than ever. But trust, audience, and relationships are much harder to replicate. Still, product matters Distribution cannot save a weak product. It can bring users in once, but only real value makes them stay. So the strongest moat may not be product or distribution alone. It may be: A genuinely useful product ...

... mindblowing anymore. I started thinking about this question after my friend said: I use AI to recreate tools I would normally have had to pay a license fee or subscription for. So the thing is, it is easy to replicate things. But do you have any examples of something created by AI that was really useful and innovative? We could start with one noble thing, like using AI to find a cure for cancer a specific article here . Comment from ... ... adds up to about twenty percent of someone's week back which is the productivity gain that actually shows up in deliverables. Where it still falls down: the judgment calls. DSCR target for a merchant wind project versus

... about the quality of feedback. Maybe the harder part is creating an environment where people feel okay being honest even if they like or respect the builder. Comment from Kabir Salunkhe(@kabirsalunkhe): Feels like it s not brand vs product but what you re actually building trust in. If people follow you for opinions, they ll show up early but they ll also leave fast if the product doesn t hold up. If they discover you through the product, trust ... ... emmerita_ambata): This has me thinking differently. As a marketer, I'm all for founder-led content, especially on LinkedIn. I've seen firsthand how much growth and visibility a product gains when a human is talking about it versus

... Bill Campbell, known as "the Coach of Silicon Valley ," mentored Jobs, Schmidt, Jeff Bezos, and dozens of other founders throughout his career. A real pattern. A great mentor gives you something no course, podcast, or book can fully replicate. Someone who has already made the mistakes you're about to make, and can help you avoid them. They compress years of learning into a single conversation. They challenge your thinking without a financial stake in the outcome. And sometimes, they ...

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence a competitor. One told me to ask for more money. Oh, and I found out your pitch is probably being recorded and run through AI. This is the high-impact version of all of those lessons to save you time, energy, and emotional damage. Please ... ... gateway. What do you see that other people don t see? Why are you unusually well placed to solve this? What access, understanding, network, or lived experience gives you an advantage that would be hard for someone else to replicate

... product. You attract early users, feedback, and sometimes investors. Just from sharing the journey honestly. But there's a real downside that doesn't get talked about enough . When you share too early, you hand your roadmap to every competitor watching. And in 2026, with AI lowering the cost of building dramatically, a competitor

... integrations, and the community not the UI. Clone the app; you can't clone the graph. 2. Expertise moats when deep domain knowledge is baked into every product decision at a level that a weekend prompt can't replicate. If your product doesn't fit into either of those two categories, the threat is real, and it's already here. Would love to hear from founders in the community: how are you thinking about moat in a world where anyone ... ... other durable advantages I'm missing? Comment from Shyun Bill(@shyunbill): It's wild how the 'v1 barrier' has vanished, making real market discovery the only true moat left. A prompt might ship the code, but it can't replicate

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our competitor

... even a controversial case in China where a scientist was sued after attempting to create gene-edited babies in 2018 . But now we are talking about something different " mental cloning ." Not just genetically creating the body, but potentially replicating the consciousness of an existing entity . In theory, we could exist twice and continue experiencing the future in parallel. With intensive research, I think we might even reach something like this around 2050 . But can you imagine what could go wrong ... ... consciousness, and maybe we should not try to simulate brains of larger animals until then. Comment from Nika(@busmark_w_nika): @mahmoud_kamal  One from horror movie series came to my mind... when Homer bought a Hamak and replicated

... tier, it's not generous enough. Comment from Landon Reid(@galax): Real example from the trenches: We built ReadyPermit -- an AI property intelligence tool that screens 142 zoning, flood, setback, and buildability factors on any US address. Our free vs paid split came down to one question: what gives someone enough value to trust us with their wallet? Free: 4 standalone tools (Flood Zone Checker, Zoning Lookup, ADU Eligibility, Buildability Score). Each one solves a real problem ... ... just letting it rip . I m very curious whether others have struggled with free trial versus

... Today, I read a TechCrunch article about what investors are no longer looking for in SaaS, or rather, what to avoid if you don't want to lose their interest. The red flags were: Too easy to replicate light AI wrappers, generic horizontal tools, basic CRM clones, generic productivity or project management tools. No real depth products where differentiation is mostly UI and automation, anything without proprietary data, surface-level analytics. Becoming obsolete workflow automation tools that coordinate human work ... ... native team can rebuild your product quickly, investors won't bet on it. So, given all of that, how are you differentiating your SaaS product in the age of AI? Because let's be honest: almost everything can be replicated

... Feels like I m still chasing another organic viral moment, but I know those are few and far between. Curious to hear what channels have actually worked for others here. Organic moments like that seem hard to replicate ...