Daniel Gebler

Are Dutch and European founders not ambitious enough? 🤔 I just read Techleap's latest report: "AI Scaling Challenges for Dutch Founders." (Okay, I got AI to read it and share the highlights with me. 😜) This quote caught my (& Claude's) eye: "𝘞𝘦 𝘢𝘳𝘦 𝘥𝘦𝘢𝘥 𝘰𝘯 𝘢𝘳𝘳𝘪𝘷𝘢𝘭 𝘪𝘧 𝘰𝘯𝘭𝘺 4% 𝘰𝘧 𝘋𝘶𝘵𝘤𝘩 𝘈𝘐 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘢𝘳𝘦 𝘱𝘭𝘢𝘯𝘯𝘪𝘯𝘨 𝘵𝘰 𝘳𝘢𝘪𝘴𝘦 𝘮𝘰𝘳𝘦 𝘵𝘩𝘢𝘯 10𝘔. 𝘛𝘩𝘪𝘴 𝘱𝘪𝘵𝘪𝘧𝘶𝘭 𝘢𝘮𝘣𝘪𝘵𝘪𝘰𝘯..." Almost every day, I see posts and jokes about European founders thinking too small. As someone who works with Euro-founders everyday, I have a different view. I see: - Massive visions - Global mindsets from day one - Founders ready to take on the world It's not the founders who lack ambition. They're just working within the realms of what's possible in Europe. That's why many of them get funded from and/or move to the US. 💰 The real lack of ambition? That's from investors and governments in Europe. 🇪🇺 I'm still working on an article, "The Case for European Optimism." And I think it will show that European founders are just as ambitious as their US counterparts. The real question we should be asking is: - How can we create an environment that allows founders to dream bigger and reach higher? 🚀 And yes, I know this quotes mentions deep ecosystem issues... --- ↳ What's your take? Are European founders thinking too small, or is it the ecosystem that's holding them back? 👇

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It’s always hard being a founder and running a company. But it’s been a tough year. No lie. Q1 nobody’s buying. Put us on back foot. Budgets didn’t increase or decreased. Spend on SaaS events seemingly down inline with software spend. Always feeling behind and late Pressure of delivering events felt harder. My dog and loyal companion of 12 years died. Second kid diagnosed with autism. Felt like one thing after the next. Sleep was shit. Almost felt like a year of what’s next? Yet: I felt these set of challenges made me and SaaStock stronger. USA event grew. SaaStock Europe experience improved and NPS up YoY. Lots of new client logos. Team stronger as a unit. Helped shape our focus for 2025 and beyond. Became a better dad and partner. Made some bigger bets for the company. We never gave up. Kept on keeping on and learning and improving as we go. Ready and better for 2025.

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How to structure your venture studio SaaS portfolio company right from the start Venture studios are keen on creating SaaS portfolio companies. If structured right, SaaS companies can become profitable cash machines for venture studios. Combining fifteen years of experience with SaaS business models and researching venture builders for a PhD project, these are my five major learnings: 🔗As most SaaS products may be copied. Excellent distribution and long-term customer relationships are crucial. Long-term and strong relationships impact many important KPI's including ARR growth, Churn, NPS and eNPS. ➡️For venture studios, that means building on the existing network to creating legitimacy for the portfolio start-up. ---- 🚥A streamlined organization where everyone knows what to do makes recruiting during scaling much easier. Hiring too fast, before the need of more team members occurs, may hinder efficiency. Create job descriptions, routines and procedures for the organization open enough not risking losing founder mode. ➡️For venture studios, that means knowing what competence to look for in different states. Use accumulated knowledge timing and managing recruitment as best as possible. ---- 📈 Keep track on the blended CAC ratio. Inefficiency and high cost in acquiring new ARR will eat up your EBITDA margins. Most B2C SaaS gets scalable through higher numbers of customers. In B2B SaaS, expansion, cross-selling, and price increases are fundamental for fast growth. ➡️For venture studios, that means share customer databases, cross-sell as much as possible, and develop a value-based pricing structure as soon as possible. ---- 🔁 Having routines and procedures in place capitalizing from a management quality system (we used ISO) helps bringing your start-up from a healthy creative chaos to an efficient scale-up. ➡️For venture studios, that means creating a management quality system and put it in place in each portfolio company will help increase speed of development and growth. ---- 💻 An understanding that an intuitive and ‘friendly’ user interface with few bugs in the product, allow support and customer success to be part of the sales organization focusing on the core product, rather than being a business unit trying to help customers handle an in-efficient product to avoid churn. ➡️For venture studios, that means accumulate knowledge in software development in relation to user friendliness and learn from previous start-up attempts to avoid churn. From your experience, what other learnings should be added here? #venturestudio #venturebuilder #entrepreneurship #scaling #saas ________________________________ Did you like this post? Connect or Follow @john-erik hassel

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We recently touched on how to pick the best European country to incorporate your startup. To continue that discussion, I’d like to tell you about a few European countries that offer residence permits through their Startup Visa programs. Here are some worth considering: 🇳🇱 1. Netherlands: Their program grants a one-year residence permit to startup founders, with the option to extend it later as a self-employed. To qualify, you need an innovative business plan and must work with a recognized facilitator, like a business incubator. I'll share some details with you later. 🇪🇪 2. Estonia: The Startup Visa allows entrepreneurs to develop their projects and hire foreign workers. To be eligible, your startup should show a high level of innovation and growth potential. 🇫🇮 3. Finland: They offer a Start-up Permit for foreign entrepreneurs, allowing them to work in Finland while building innovative projects. The application is assessed based on your business plan and growth potential. 🇵🇹 4. Portugal: With the Startup Visa program, founders get a residence permit to grow their projects in Portugal. Your project needs to be innovative and have the potential to create jobs. 🇪🇸 5. Spain: Spain’s "Entrepreneur Visa" program offers a residence permit for startup founders. Your startup should contribute to the country’s economy and be innovative. 🇫🇷 6. France: The French Tech Visa program is designed for startup founders, investors, and employees of tech companies. To qualify, you’ll need an innovative business plan and approval from the French Tech program. 🇱🇹 7. Lithuania: Lithuania’s Startup Visa is available for entrepreneurs looking to launch their innovative business in the country. You need to demonstrate both growth potential and an innovative business model. 🇮🇪 8. Ireland: The "Start-up Entrepreneur Programme" offers a residence permit to those who plan to invest in innovative business projects in Ireland. These are just a few countries with similar programs. Each has its own requirements for both the applicant and the startup, so be sure to do your research before applying. In my next post, I’ll dive into more countries offering these types of programs. If you have specific questions, feel free to ask in the comments! #venturecapital #startups #innovation #technology #founders #immigration #startupvisa

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Update: CodeSee has been acquired by GitKraken! --- I am very sad to announce - officially - that CodeSee will be closing its doors and shutting down commercial operations on Thursday, Feb 22nd. All paying customers and free users can continue using CodeSee until Feb 22nd. We have a team that will maintain the service during this period and continue to support you. Thank you to everyone Thank you to all the customers who partnered with us. You were invaluable for helping us build CodeSee. Thank you to the open source community who were our closest collaborators from the very beginning. Thanks to all the employees who joined CodeSee. We’re proud of both the team and the product we built. Thanks for taking a bet on this startup journey. Lastly, thank you to all our investors who bet and supported us on our journey. Why we made the decision I can only apologize to everyone for this difficult turn. The company had more than doubled the number of new product logos in 2023 and grew by many thousands of free users. However our sales growth was inconsistent, and we needed to make revenue faster and more consistently. Given the nature of trying to solve code understanding, this meant being able to deeply cover more complex codebases, more IDEs, more tech stacks, and more programming languages which would have taken time that we didn’t have. And Gen AI has made this space even more complex, both as a tool to help and a source of ever more code to understand. As any startup founder, I had to make some tough calls on where to focus our efforts, but in the end those choices did not lead to the consistent revenue we needed for us to continue. Although we did receive a term sheet to continue going, we ultimately decided that it wasn’t enough to cover this mandate and deliver a truly valuable product. Here's our goal with CodeSee right now... Plan A: - Complete the process of finding a home for the tech and team. We're already in talks with several companies now and want to find the best mutual fit asap. Plan B: - If we don't find a good mutual fit, the team will (sadly) go our separate ways. Code Understanding is still awesome After this journey, we have no less enthusiasm for developer productivity and developer experience. We still think that when developer’s lives are easier, it’s pure magic. After speaking with thousands of companies, it’s clear that code understanding is still a vital problem to solve. It’s been an absolute pleasure to build tools to bring new and impactful ways of understanding code to the developer community. Even though CodeSee’s journey may be coming to an end, our passion to serve this amazing community is as strong as ever.

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Don't Let Your Startup Fail: Test Your Idea Fast with an MVP Imagine putting all your effort into creating a product, only to find out no one wants it. Ouch! This happens to many startups. In fact, 42% of startups fail because they build products nobody wants (Clutch survey). Here’s where an MVP (Minimum Viable Product) comes in to save the day! An MVP is a basic version of your product with the key features needed to solve a problem. It's simple, efficient, and designed to learn from real users. Why MVPs are awesome: ✅Get real feedback from users quickly. ✅Avoid wasting money on something nobody wants. ✅Use user feedback to make your product better. Think of it like this: You wouldn’t build a whole house without first making a blueprint, right? An MVP is your blueprint for a successful product. It lets you test the basics, make improvements, and create something people actually want. MVP = Launch faster, learn faster, succeed faster. P.S. You can launch your Minimum Viable Product (MVP) in just 4 weeks. #StartupSuccess #MVPDevelopment #FailFastLearnFast #UserFeedback #LeanStartup #ProductValidation #MarketFit #AgileDevelopment #Innovation #Entrepreneurship #BusinessTips

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Before investors ask the question, ask yourself first. Your solution is the best solution that will save customers. Thats great. But why now? What makes the timing right for your startup to exist? Incorporating the 'why now' in your startup story is not about proving that your idea is good; it’s about showing that your idea is good, right now. The Case for 'Why Now': 1. Market Readiness: Market readiness is paramount. A solution introduced too early may flounder due to lack of customer awareness or readiness to adopt, while one launched too late risks irrelevance in a saturated market. Your 'why now' should address the unique convergence of needs, technology, and customer readiness that makes this the opportune moment for your solution. According to a Bill Gross study, timing accounts for 42% of the difference between success and failure in startups. If the market isn’t ready for your solution, it won’t matter how groundbreaking it is. A Harvard Business School report highlighted that products launched during a period where market demand is peaking experience initial sales volumes up to 3x higher than those launched in a lukewarm market scenario. 2. Technological Feasibility & Innovation Cycles: Technology evolves in waves, and your startup's timing may align with the rising tide of an emerging technology, enabling solutions that were previously impossible or impractical. The 'why now' should illuminate how current technological advancements or shifts in user behavior uniquely position your startup to address previously unmet needs or create new market opportunities. Gartner’s Hype Cycle for Emerging Technologies shows that the window for achieving a competitive advantage can be narrow before a technology matures and becomes widely adopted or deprecated. 3. Socio-economic Shifts: Socio-economic shifts can rapidly transform market landscapes, catalyzing new needs and opportunities. Demonstrating an understanding of these dynamics and articulating why your startup is especially relevant in the context of recent shifts can strongly validate the 'why now'. The COVID-19 pandemic led to a 500% surge in demand for remote collaboration tools, according to a report from Zoom Video Communications. A McKinsey Global Survey found that companies have accelerated the digitization of their customer and supply-chain interactions by three to four years due to the pandemic. Beyond Meat tapped into a confluence of consumer readiness, with a growing concern for health, sustainability, and ethical eating, and technological advancements in food science. By addressing these factors, Beyond Meat answered the 'why now' perfectly - introducing plant-based meats that closely mimic the taste, texture, and experience of animal meat at a time when consumers were actively seeking alternatives. #shahriarsuncommonsense

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NoFrills also makes mistakes sometimes (though rarely), but our test data shows NoFrills is more stable and accurate with live data. My previous posts highlight why we should consider NoFrills on par with other global solutions, moreover it proves that it is not a GPT wrapper or an open-source app. When it comes to Indic languages, NoFrills is miles ahead of all the models mentioned above. I will provide some examples in the coming days.

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The best thing about a thriving startup team? 🤔 → They’re not your typical 9-to-5 grinders. They’re problem-solvers, hustling to create something extraordinary. This week, our lead developer, Edwin showed his entrepreneurial spirit like never before. In this week’s Friday broadcast [BTS] of Team RogerRoger, I’m spotlighting Edwin’s hard work. Tech teams know it well, releasing a tech feature is no small feat. It’s late nights, early mornings, and pure chaos. Systems break. Servers get overloaded. And yet, some people rise to the occasion, no matter how tough it gets. This week, Edwin was that person. For three nights in a row, he worked tirelessly until 4 a.m. to bring our new email feature to life. 💻 When the system overloaded and challenges kept piling up, Edwin didn’t flinch. He found faster, smarter solutions. And now? The feature is live—and it’s better than we ever imagined. 🎉 Remember… Startups don’t succeed because they have perfect plans. They succeed because of people like Edwin. 💪 Here’s to the grit, the hustle, and the relentless drive to build something great. From Team RogerRoger, we say thank you, Edwin! 👏

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Today, you can use A.I. to build a successful e-commerce business faster, cheaper, and better. But…what product do you sell? Here’s what you want: High sales (at least $1M per year) High profits Low competition The ability to “polarize” Discover the BEST product to sell here: https://lnkd.in/eYTEAP2R IMPORTANT: This is the 2nd video of the 4-part series called The New Frontier. These videos are only available for a limited time. So click the link above to watch the two first videos to learn how to use the power of A.I. to build your dream business!

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𝗜'𝗺 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝘄𝗲𝗯𝟯 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝘁𝗵𝗮𝘁'𝘀 𝗽𝗼𝘀𝘁-𝗠𝗩𝗣, 𝗽𝗿𝗲-𝗿𝗲𝘃𝗲𝗻𝘂𝗲, 𝘄𝗶𝘁𝗵 𝗮𝘁 𝗹𝗲𝗮𝘀𝘁 𝗼𝗻𝗲 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝘄𝗵𝗼’𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗲𝘅𝗶𝘁𝗲𝗱. 𝗜𝗱𝗲𝗮𝗹𝗹𝘆, 𝗮𝘁 𝗽𝗿𝗲-𝘀𝗲𝗲𝗱 𝗮𝗻𝗱 𝘄𝗶𝘁𝗵 𝗮 𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝘂𝗻𝗱𝗲𝗿 £𝟱 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 If only ChatGPT could show me startups raising funds that matched this exact search. Luckily, Chainvest can. For investors: Imagine describing your ideal startupand having a variety appear. Chainvest’s AI-driven platform makes that a reality. Finding the right startup shouldn’t feel like finding a needle in a haystack. For founders: Forget endless cold emails and repetitive pitches. With Chainvest, the right investors will find you. Real connections, no guesswork. We’re launching soon. Investors and founders—join our waitlist at www.chainvest.io Tag a founder who needs a better way to connect with investors. Sam Simpson Ekaterina Manoilenko, MBA Jan McGinley Cait Pilkington Ricardo Pascual Duc Zambrini Vasily Alekseenko Kristina Pereckaite David Levine Samuel Izzard Ed Prior

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Did you know startups that pivot 1-2 times have 3.6x better user growth? Personally I know that Many founders think pivots are a sign of failure, but they’re often the key to success. Key reasons to pivot: • Your first product idea might not hit the mark—testing is crucial. • Startups that are flexible early on find better product-market fit. Vine failed because it couldn’t pivot in the face of competition. On the flip side, Instagram started as a location-based app called Burbn and pivoted into the photo-sharing platform we know today. 🔄 Thinking about pivoting? Let’s talk strategy at the Zero to Millions Club: Zero to Millions Club #students #education #tips #startup #startnow

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I stalked my co-founder for months before we started a VC firm together. Not in a creepy way. I just knew Janneke Niessen was brilliant at building tech companies from scratch. She'd done it twice already. Most VCs look at the obvious things: market size, product-market fit, financials. But here's what 15 years of research taught me: 60% of startups die because their teams implode. Not competition. Not market conditions. Not running out of money. Teams fall apart. After studying thousands of founders at Berkeley and Amsterdam, I discovered something counterintuitive: The traits that make someone an amazing early founder often become toxic during scale-up. That raw drive? It can turn into control-freakery. That passionate vision? It might blind you to market changes. That fierce independence? It could prevent crucial delegation. This is why Janneke and I built CapitalT differently. We don't just evaluate pitch decks. We measure team dynamics using hard science. We spot scaling problems before they emerge. Because unicorns aren't born from pitch decks. They're built by teams that evolve. P.S. Know a founder who needs to hear this? Tag them below.

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i almost went bankrupt 3 months ago. a year earlier, we raised €220,000 from angel investors in the netherlands. we used this money to build a great team, develop our first products, and grow our community. at one point, we’ve invested €150,000. then, we found out that one of our former investors couldn't fulfil his contract. we had only €10,000 left in the bank, with monthly expenses of €20,000. then two things happened in the same week that i’m really really grateful for: 1.⁠ ⁠after seeing one of our instagram reels, Max Klijnstra contacted me on linkedin. we met at our office around 9 pm and talked openly. i even showed him our bank account. he never had a meeting this transparant with a startup, he loved what we were building, especially our community of creators. i asked him directly, "why don't you invest? i have an open ticket." he shared two lessons that helped me a lot:   - "i can invest, but it won’t fix your main problem — you need clients. let me be your first."   - “you need to understand that this is a long-term game, a marathon. after talking to you for two hours, it feels like you think you’re running a marathon, but it’s friday night, you haven’t eaten. slow down.” 2.⁠ ⁠it's rare to find investors who want to invest at our stage. it's even rarer for them to sit with you every week for 1-2 hours, sharing their knowledge. Henk de Boer (one of our 3 investors) understands our vision and believes in it. when we asked if he wanted to fill the open investment, he said yes without hesitation. this saved us. in the last three months, we signed our first contract with launching customers, grown our community of storytellers, filmmakers, and creators to over 3,500. we now use our software to access first-party data from brands' social accounts. we identify which formats, styles, sentiments, and scripts work best. through our network, we produce high-quality, non-ugc content. making brand accounts more interesting to follow for their customers. thanks everyone who helped, we wouldn’t be here without you!

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🚀  Llama 3.1 is a game-changer! I had to blink my eyes today when I ran some tool-calling experiments (in Dutch): the 70B version performed perfectly on tough cases, just like GPT-4o. And Officially Llama 3.1 does not even speak Dutch. I ran it on a double RTX 4090 GPU for 80ct/h (20 euros a day)! ‘Tool calling’ is the glue between human speech and the system executing the spoken request. So far self-hosted LLMs were not strong enough to do this reliably even after fine-tuning, so an external LLM like OpenAI GPT-4 was always needed. No more! Now banks, insurance companies, and governments who are afraid of privacy and security issues with external LLMs can run a high-quality model on 4000 euros of graphics card! The limit is gone! Last but not least, the 8B version (which you can host for 15ct an hour) is also really good at tool-calling. It has minor glitches, but if your use case is not too demanding it is a blazingly fast-responding little beast.

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𝐌𝐲 𝟑 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬 𝐚𝐛𝐨𝐮𝐭 𝐀𝐈 𝐚𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐣𝐨𝐛𝐬: I seriously contemplated whether 𝐀𝐈 𝐰𝐨𝐮𝐥𝐝 𝐤𝐢𝐥𝐥 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐣𝐨𝐛𝐬. My conclusion: It will do the opposite. But not the reason you'd think 👇️ 💀 It even felt like an existential crisis as a software engineer bullish on AI capabilities' future. But the third scenario landed on my head. Prediction #1: "AI will create MORE human engineer demand rather than AI software engineers like Devin killing it." And it's not because AI programmers aren't capable. It's because there will be unprecedented engineering demands because of AI. Let's listen to what Jensen Huang said: "I think you're seeing for the very first time, simultaneously, a very significant growth in the segment of AI factories, as well as a market that -- a segment that really didn't exist before but now it's growing exponentially, practically by the week, for 𝐀𝐈 𝐢𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐀𝐏𝐈𝐬." - 𝘘1 2024 𝘌𝘢𝘳𝘯𝘪𝘯𝘨𝘴 𝘊𝘢𝘭𝘭 𝘔𝘢𝘺 24, 2023 In the Q3 2024 Earnings Call, Nvidia also said, "𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐰 𝐚 𝐦𝐚𝐣𝐨𝐫 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝 for NVIDIA AI computing. Consumer Internet companies and enterprises drove exceptional sequential growth in Q3, comprising approximately half of our data center revenue and outpacing total growth." While major players like OpenAI, Google, and Meta are capable of developing and deploying their own generative AI, virtually all companies can leverage AI by focusing on the last-mile layers and application logic. Document retrieval and multimodality will unlock AI use cases like never before. Everything digital is finally data. The software opportunity will explode. (OK, I am wearing an optimist hat here.) Technologies like RAG (retrieval augmented generation) and agents are the 𝐠𝐥𝐮𝐞 between AI in its current state and the business reality. Yes, we will need a lot of glue...like we've never seen before. That's why we need human engineers. That's my hypothesis. And that is exactly where I am seeing a business opportunity. Prediction #2: "There will be a Fivetran for RAG and agents." I see startups creating a platform to cover common lang chain patterns. This boiler-plating to serve popular use cases reminds me of Fivetran as a data extraction service. Fivetrain created data connectors for major cloud applications so that their customer businesses don't have to develop their own. I think there will be a no-code solution unicorn for RAG and agents. Prediction #3: "Custom RAG and agent logic will be a big opportunity for engineers." While Fivetran dominated the body of the bell curve, the proliferation of cloud applications and APIs created unprecedented demand for data engineers. I think the same thing will happen for RAG & agent engineering. #entrepreneurship #softwareengineering #ai ---- ♻️ Enjoy this? Share it with your network and follow me Daigo for more with 3800+ others.

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Code Writing Speed Was Never What Slowed Our Software Delivery: DORA's AI Report Hits Hard Reading DORA's 2024 research feels like déjà vu. Despite AI making us all faster coders, software isn't reaching users any quicker. It validates what we've always known in our standups - when someone asks why a feature is delayed, the answer is never 'we can't code fast enough.' The numbers are striking: • 75.9% of us are using AI in our daily work • 74.9% for code writing specifically • 67% report better coding abilities • Yet only 1.3% faster approval speeds • And a measly 3.4% improvement in code quality The data is validating what we live daily: • Sure, AI helps us code faster • Yes, it feels good to ship code quickly (job satisfaction up 2.2%) • But our real headaches haven't changed: - That dependencies meeting that could've been an email - The integration hell with that legacy system - The three teams we need sign-off from - Production configs that work differently than staging DORA calls this the 'vacuum hypothesis': "By increasing productivity and flow, AI is helping people work more efficiently. This efficiency is helping people finish up work they consider valuable faster. This is where the vacuum is created; there is extra time. AI does not steal value from respondents' work, it expedites its realization." But that time gets swallowed by the same old bottlenecks: cross-team coordination (-0.1% improvement) and system integration complexity. Even tech debt barely budged (-0.8%). It's almost funny - we've built AI that can generate complex algorithms in seconds, but can't help us navigate the human and system dependencies that actually determine when features reach users. I'm barely scratching the surface of what's in the report. If you're wrestling with AI adoption decisions or trying to understand its real impact on delivery speed, invest an hour in reading the full analysis. DORA's been studying this stuff for a decade, and it shows. https://lnkd.in/equUq88M #AI #DORA #GenAI #SoftwareDevelopment #Engineering #DevOps

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I'm currently working on a web application that is 100% built/coded by generative AI. It will soon be available in beta to anyone. So I thought, why not redesign and code my personal website 100% by AI. Here is the result: https://lnkd.in/evFJQwaG I let Claude 3.5 Sonnet do the design part into a HTML mockup and transformed it with ChatGPT 4o into a Wordpress theme. I absolutely did not anything other than copy paste code. What do you think? I used the starting prompt: "Act as a visual designer. I need a design for a personal website. It must be visually appealing, modern, and responsive. I am a digital strategist and digital transformation lead. My focus includes consultancy, advisory work, customer experience, generative AI, and guiding clients in their digital ambitions, CX via digital channels, composable architecture, and more. Create the design using vanilla HTML, CSS, and JavaScript in the artifact window." From there I prompted for an hour or so in refining, changing and improving the design, animations, etc. #generativeai #artificialintelligence #ai #claude #chatgpt

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