Laura Wendel
@Lauramaywendel
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// prev. co-founder @endeva_app
Berlin, Germany / London
Joined March 2022
A lot of very smart people work in strange ways / with a lot of quirks (e.g. contemplating for hours and appearing to do nothing, while then suddenly having 100x output burst). This usually makes them not a great fit for traditional corporate world, where you often have to fake
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@windsurf @paulg Full breakdown: https://t.co/1InFCutHYO We all need more AI that turns your brain ON, not OFF. Software development only becomes engineering with *understanding*. Your ability to reason through your most challenging coding tasks is constrained by your mental model of how
cognition.ai
Codemaps is meant to offer a shared understanding of a system between humans and AI, enabling your AI to teach you about the code you are looking at quickly and elegantly. A codemap can be generated...
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A lot of the generational companies of the previous era grew extremely slowly but deliberately in the beginning. problem + customer obsession > chasing fast traction numbers
John Collison: We only had 50 users two years after founding Stripe “We started working on Stripe in the Fall of 2009, and we launched Stripe in September 2011,” John Collison reflects. “I remember right at the beginning when we were starting it I said to Patrick [Collison],
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moats in 2025: use viral videos and funny math to inflate ARR and raise infinite money moats in 1291: put your entire industry on a single island (surrounded by a literal moat) to protect trade secrets and increase talent density for R&D
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Last time I see the sun before the great lock in of sep-dec 2025
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big labs researchers when another benchmark comes out that they have to train their models on
Introducing ClockBench, a visual reasoning AI benchmark focused on telling the time with analog clocks: - Humans average 89.1% accuracy vs only 13.3% for top model out of 11 tested leading LLMs - Similar level of difficulty to @fchollet ARC-AGI-2 and seemingly harder for the
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the fatal flaw of the zero sum mindset is that it makes you a value-capturer, not a value-creator. you limit your own potential to what already exists and become a participant in a game with fixed boundaries, rather than an architect of a new one with an expandable horizon.
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our nature is to be relentless optimizers. it is the program that has driven all human progress. this same program makes us incapable of seeing how good the current version is. you spend your life chasing the next 10x without ever realizing you’re already living it
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A big reason for LLM usage not being associated with higher labor productivity is that it's held back by being constrained to a chat window. This is why we're building @endeva_app - AI can do so much more when you give it an interface that mirrors the way you already work.
LLM adoption among US workers is closing in on 50%. Meanwhile labor productivity growth is lower than in 2020. Many counter-arguments can be made here, e.g. "they don't know yet how to be productive with it, they've only been using for 1-2 years", "50% is still too low to see
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Taste used to be defined by your access to the scarce: the rare book, the import film, the underground record. Now that we have infinite content, taste is defined by your ability to filter. The act of creating a truly great playlist, a curated reading list, or a personal film
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“casino culture” sports betting, shitcoins, meme stocks, vibe coding 100m in six hours, etc are all expressions of the same deep cultural rot. if youth don’t believe there’s legitimate ways to get rich through work, all of culture will become a rotten sports book for the soul
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AI has a product problem. Not a model problem. Models are making capability leaps every few weeks but AI-native product innovation hasn’t kept up. Most products are forcing AI into existing UX patterns rather than rethinking an AI-native experience from first principles.
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AI has dissolved the friction between curiosity and exploration. Before, we’d weigh each question against the effort of searching & likely disappointment, thoughts died unasked. Now the gap between a thought & investigation collapses - questions survive long enough to change us.
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You can now access GPT5 and Claude Opus 4.1 on Endeva (both for chat and as part of your apps)! To celebrate we asked both of them to create a meme on how they feel about their recent upgrade:
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This has blown up! We're receiving a lot more invite requests than we can currently onboard. If you have a high priority use case that you'd like to build with Endeva feel free to reach out directly to me via DM and I'll try to give you access as soon as possible! 💙
Vibe coding is broken. You get pretty designs for quick dopamine hits. But nothing that’s actually useful – until now. Introducing Endeva Apps, the most powerful idea to app platform – now in early preview. Comment below and I will send you an invite code!
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All of this works right out of the box, without needing to set up API keys or integrations. We have a lot more coming in the next few weeks, so stay tuned!
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We achieved this by building out a suite of powerful platform APIs that the AI agent can use right away to add crucial functionality like syncing, real-time collaboration and access to all leading AI models.
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Endeva is the only platform that can reliably one-shot entire software categories like a custom search engines, chat with PDF, AI powered SEO analyzers and more.
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Vibe coding is broken. You get pretty designs for quick dopamine hits. But nothing that’s actually useful – until now. Introducing Endeva Apps, the most powerful idea to app platform – now in early preview. Comment below and I will send you an invite code!
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