Nichlas Kvist Campos

I used to work 12 hours a day. But thanks to AI, I now work 16.

This is 100% true! I have recently looked through my old notes on ideas where most got abandonded due to lack of technical cofounders or market felt too non-VC. Had to vibe code basic MVPs and fun to see these old ideas become alive.

A CEO from one of our portfolio companies shared this with their team. I’m re-sharing it with their permission, because it resonated and reflects what all founders and CEOs should be communicating. -- We are living through a period of compounding change. And in moments like this, the biggest risk is no longer making the wrong decision. It is moving too slowly while the world moves around you. There are two paths. We can play defense: - Protect what we have - Optimize what works - Wait for clarity It feels safe. It isn’t. Or we can play offense: - Learn faster than the environment changes - Use new tools to solve old problems in better ways - And create entirely new strategies and businesses That’s where the opportunity is. Challenge yourself to do things faster and better than you have ever attempted. Stay uncomfortable. Stay on the front foot.

Trying to be cool and getting hetzner but then its identify verification has flagged me and when uploading passport with selfie then i get multiple face mismatch 😄

The last couple of months of AI development has given me a whole new way of thinking about what is possible. I think and brainstorm ideas on a whole other level now. It’s time to unlearn legacy constrains.

Next era of Ai-first work

Google Sheets App Scripts is such an undervalued feature. Sheets has this easiness of loggin data but to work work it more efficiently has always been a challenge but now you can just one-shot app scripts in chatgpt for various automations and analysis.

Vibe Coding Is the New Product Management “There’s been a shift—a marked pronouncement in the last year and especially in the last few months—most pronounced by Claude Code, which is a specific model that has a coding engine in it, which is so good that I think now you have vibe coders, which are people who didn’t really code much or hadn’t coded in a long time, who are using essentially English as a programming language—as an input into this code bot—which can do end-to-end coding. Instead of just helping you debug things in the middle, you can describe an application that you want. You can have it lay out a plan, you can have it interview you for the plan. You can give it feedback along the way, and then it’ll chunk it up and will build all the scaffolding. It’ll download all the libraries and all the connectors and all the hooks, and it’ll start building your app and building test harnesses and testing it. And you can keep giving it feedback and debugging it by voice, saying, “This doesn’t work. That works. Change this. Change that,” and have it build you an entire working application without your having written a single line of code. For a large group of people who either don’t code anymore or never did, this is mind-blowing. This is taking them from idea space, and opinion space, and from taste directly into product. So that’s what I mean—product management has taken over coding. Vibe coding is the new product management. Instead of trying to manage a product or a bunch of engineers by telling them what to do, you’re now telling a computer what to do. And the computer is tireless. The computer is egoless, and it’ll just keep working. It’ll take feedback without getting offended. You can spin up multiple instances. It’ll work 24/7 and you can have it produce working output. What does that mean? Just like now anybody can make a video or anyone can make a podcast, anyone can now make an application. So we should expect to see a tsunami of applications. Not that we don’t have one already in the App Store, but it doesn’t even begin to compare to what we’re going to see. However, when you start drowning in these applications, does that necessarily mean that these are all going to get used or they’re competitive? No. I think it’s going to break into two kinds of things. First, the best application for a given use case still tends to win the entire category. When you have such a multiplicity of content, whether in videos or audio or music or applications, there’s no demand for average. Nobody wants the average thing. People want the best thing that does the job. So first of all, you just have more shots on goal. So there will be more of the best. There will be a lot more niches getting filled. You might have wanted an application for a very specific thing, like tracking lunar phases in a certain context, or a certain kind of personality test, or a very specific kind of video game that made you nostalgic for something. Before, the market just wasn’t large enough to justify the cost of an engineer coding away for a year or two. But now the best vibe coding app might be enough to scratch that itch or fill that slot. So a lot more niches will get filled, and as that happens, the tide will rise. The best applications—those engineers themselves are going to be much more leveraged. They’ll be able to add more features, fix more bugs, smooth out more of the edges. So the best applications will continue to get better. A lot more niches will get filled. And even individual niches—such as you want an app that’s just for your own very specific health tracking needs, or for your own very specific architectural layout or design—that app that could have never existed will now exist.”

@tobi Haha it is very distracting when you hit a task where there are no agents for 😅

Being "creative, but easily distractible" is no longer a disadvantage with infinite agents on your screen

@ankrgyl Congrats! 🚀 Please make it easier to view traces and annotate these for multi-turn agents :)

We sent this note to our customers to let them know that Braintrust has raised a new round of funding, and thank them for their support. While the money is exciting, our focus hasn't changed: we're building Braintrust to help our customers ship quality AI products. In 2026, AI is moving to production but teams have never had less conviction about what will fail next. Our customers are building AI products that serve millions and simply need to work. If Braintrust makes their lives easier and their products better, I know we are doing our job. Thank you to @ICONIQCapital for leading our Series B, and to @a16z, @GreylockVC, @basecasevc, and @eladgil for doubling down. Thank you to the Braintrust team for all the incredible work you've done over the past year. And thank you to our customers, who have made this growth possible.

when you forgot the chatbot on your side project and let users hanging 😅

Wow. First customer today that came out of the blue without touching this project for a couple of months. My first paid Subscription user for a self-made web product

I am one month into a 5am wake up setup and it’s rather fascinating how you start to look forward to the mornings as this is now where you have time for yourself but also your brain is super fresh to do things. Late chill evenings are gone but then I got powerful mornings.

A controversial take - but I think the software world hasn’t priced in the fact that PMs are uniquely suited to thrive in this new world. Especially one where the gap between idea and execution has shrunk SO much.. Good PMs are > constantly thinking of new ideas > spending time articulately building plans (exceptionally important for long horizon tasks) > rapid context switching > good sense of outcomes (vs feedback) and selling price of work > talking to customers and able to convert into skills (yes Claude skills) These folks were always hamstrung by the pace of development and now have been set free. Even the “project management” skills that a lot of PMs end up learning at large companies will be helpful in managing a fleet of agents. Now let’s be clear the PMs who are just doing coordination and none of the other things mentioned above were always destined to die a slow death in organizations. But I won’t be surprised if a lot of the really good PMs end up starting companies while it’ll be interesting to see what the role eventually evolves to in ~five years within organizations.

still cant comprehend why any product people at @Airbnb with some sort of self-respect and user experience decency did not fix this.

@rileybrown I have used it to test some initial flows - really nice for prototypes

When OpenAI launched this 3 months ago, people we're saying that "1000 startups died". This has zero users.

A lot of discussions lately has been around whether AI will take jobs away or not. I personally dont believe this and have reflected the last couple of months about the topic. No matter what the future is going to look like then I see that now is a good time to position yourself for whatever comes. The simple solution is to double down on yourself and be really good at it. open.substack.com/pub/theproduct…

Help upvote AI CRE Tools here on @UneedLists 🙏 uneed.best/tool/ai-cre-to…

We’re starting to get a clearer sign of how vast the surface area of context engineering is going to be. To build AI agents, in theory, it should be as simple as having a super powerful model, giving it a set of tools, having a really good system prompt, and giving it access to data. Maybe at some point it really will be this simple. But in practice, to make agents that work today, you’re dealing with a delicate balance of what to give to the global agent vs. a subagent. What things to make agentic vs. just a deterministic tool call. How to handle the inherent limitations of the context window. You had to figure out how to retrieve the right data for the user’s task, and how much compute to throw at the problem. How to decide what to make fast, and suffer potential quality drops, vs. slow but maybe annoying. And endless other questions. So far there’s no one right answer for any of this, and there are meaningful tradeoffs for any given approach you take. And importantly, getting this right requires a deep understanding of the domain you’re solving the problem for. Handling this problem in AI coding is different from law, which is different from healthcare. This is why there’s so much opportunity for AI agent plays right now.