Music. Product. Design. Currently at @kobalt. Used to write about global sounds, now I just listen. Every 3rd Friday of the month on @lwstdfm. He/him.

London, England
Joined May 2012
A thread of playlists👇🏻✌🏻
GoodOne001 is a little selection I put together. There will be more - some sooner, some later. Each will be accompanied by a photo i've taken. This one's designed to help. #GoodOne open.spotify.com/playlist/35…
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planning is overrated just take the shortest term action that is in the general direction of your goal reality is a super high dimensional space, so this basically always works
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I built a platform to showcase my photography - mainly because the alternatives are either paid, or bad. Mine accepts donations, too ;) shots.photography/
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Alex Mench retweeted
efficiency, productivity, speed we keep worshipping these words like they are what we live for ship faster merge more manage more agents compress every loop remove every pause turn every hour into output but what is the point of endless production if there is no time left to think deeply? not react not optimize not summarize not clear the queue think to sit with a question long enough that your real intention starts to appear to find the purpose underneath the motion to ask whether the thing being accelerated should exist at all ai could be a new canvas a way to make strange things personal things impossible things tools, worlds, poems, games, interfaces, films, languages, rituals things that let more people touch the shape of their own imagination but instead, so much of it is becoming slop factories more content more funnels more tickets more fake work pretending to be value you can merge 2000 prs you can manage 500 agents you can wake up to dashboards proving that the machine kept moving while you slept but what is the point if you only sleep 5 hours a day? what is the point if you stop talking to other humans? stop learning about the past? stop playing? stop wandering? stop being surprised? what is the point if your whole life becomes optimizing the system that is consuming you? speed is not meaning scale is not wisdom automation is not freedom if it only makes everyone run faster and where are we running? toward what? a world where every person becomes a manager of machines, and every machine produces more things no one had the time to truly want? the danger is not that ai makes us lazy the danger is that ai makes us endlessly busy that it gives us infinite production before we have found intention infinite execution before we have developed taste infinite motion before we have learned how to be still maybe the real frontier is not more speed maybe it is discernment knowing what not to make knowing when to stop knowing when the most productive thing is to sleep, read history, call a friend, play with a cat, walk without tracking it, or stare at the ceiling until the false urgency dissolves tools should give us more life not turn life into a tool if ai is going to matter, it should not just help us produce more it should help us become more human more imaginative more free otherwise, it’s the same old factory just without humans
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In the spirit of championing naivety amongst the mass of carefully curated facades... Who's going to summarise to us non-engineering-natives how Terminal differs to other surfaces, why some exchanges require it (and why some don't), and why many people opt for it as default?
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What’s your tool/technique for logging and inviting comments on design work outside of Figma? What’s the ‘cmd+c’ for prototypes built in code?
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I genuinely think the term 'Design' is damaging/limiting to individuals. I’'ve long thought what it might mean to use the principles without the title to side-step the negative associations and preconceptions. Design Founders are often special, for good reason.
I see a lot of designers who want to stay "designers," like the role is some kind of warm, fuzzy blanket focusing purely on experience and aesthetics. But this is not how the best designers think. In my interview with @soleio ​on what separates top 1% designers from mediocre designers, he says it brilliantly: “If you delegate impact to PMs, you cannot ask for the title of excellent.” At the end of the day, it’s your job -- not your manager’s, not your PM’s, not your CEO’s — for your design work to change behavior positively for the user
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Alex Mench retweeted
One interesting observation in this chart is the claim that demand has flipped from designers to PMs. It frames this as if orgs suddenly want fewer designers and more PMs, but that feels rooted in legacy titles, not how the work is actually getting done. On most product teams today, designers are already owning big chunks of “PM work” — discovery, framing, prioritization, and strategy — and strong PMs are expected to bring real product taste and design sensibility too. Some orgs hire designers with strong product instincts, some hire PMs with strong design instincts, but in both cases they’re really looking for the same hybrid profile. I think it’s way easier to route that through a PM headcount and PM job listing than through Design, especially if there is still a desire to hire strong crafters at bigger orgs that might not be able to ship a product on their own. So what this graph is really measuring isn’t a clean shift from Design → PM, but more like.. the lag between how we label roles and the blended product + design work that’s already happening.
Replying to @lennysan
I don’t know exactly what’s going on here, but it does feel AI-related. Unlike PM and eng, which started growing in 2024 (two years post-ChatGPT), design didn’t. If I had to venture a theory, I’d say that because AI is allowing engineers to move so quickly, there’s less opportunity—and less desire—to involve the traditional design process. That said, you’d think design would become a differentiator as more products compete for attention. Something to think about for your company! We’ll keep watching this trend and AI’s impact on org design more generally. One interesting observation we made when we went a level deeper: the ratio of demand for PMs vs. designers has flipped. In mid-2023, we went from more open designer roles to more open PM roles. And ever since, PM demand has been pulling away (currently 1.27x). This will be another trend to monitor, in terms of how AI is reshaping org design.
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I reference this in a design/technology context so much. Product 'marketing', education and collaboration is 99% ensuring that what we consistently obsess over as practitioners is not just externalised, or acknowledged, but properly absorbed. Otherwise we're screwed.
Thought, said, heard, understood.
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If we're all just becoming writers (shaping and refining prompts), could it be that the people who studied English Literature and Journalism are the real winners? Or is it simply that the ability to create a good design brief is relevant again?
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Yes, yes and yes.
Figma is not the source of truth, according to Ryan Lucas, Rippling’s VP of Design. Echoing industrial designer Henry Dreyfuss, Lucas says a designer’s job isn’t done until the product sells. Lucas thinks about good design as “useful, usable, desirable — and used,” with many people forgetting about the last one. “Figma is not the source of truth. It’s a bunch of rectangles in a vector drawing program. The source of truth is the thing that customers experience. I would much rather everybody orient to the thing that we are putting in front of customers than orient to some of the tools and techniques we use upstream.” Listen to more of Lucas’s insights below on this episode of Executive Function.
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Alex Mench retweeted
software is still about thinking software has always been about taking ambiguous human needs and crystallizing them into precise, interlocking systems. the craft is in the breakdown: which abstractions to create, where boundaries should live, how pieces communicate. coding with ai today creates a new trap: the illusion of speed without structure. you can generate code fast, but without clear system architecture – the real boundaries, the actual invariants, the core abstractions – you end up with a pile that works until it doesn't. it's slop because there's no coherent mental model underneath. ai doesn't replace systems thinking – it amplifies the cost of not doing it. if you don't know what you want structurally, ai fills gaps with whatever pattern it's seen most. you get generic solutions to specific problems. coupled code where you needed clean boundaries. three different ways of doing the same thing because you never specified the one way. as Cursor handles longer tasks, the gap between "vaguely right direction" and "precisely understood system" compounds exponentially. when agents execute 100 steps instead of 10, your role becomes more important, not less. the skill shifts from "writing every line" to "holding the system in your head and communicating its essence": - define boundaries – what are the core abstractions? what should this component know? where does state live? - specify invariants – what must always be true? what are the constants and defaults that make the system work? - guide decomposition – how should this break down? what's the natural structure? what's stable vs likely to change? - maintain coherence – as ai generates more code, you ensure it fits the mental model, follows patterns, respects boundaries. this is what great architects and designers do: they don't write every line, but they hold the system design and guide toward coherence. agents are just very fast, very literal team members. the danger is skipping the thinking because ai makes it feel optional. people prompt their way into codebases they don't understand. can't debug because they never designed it. can't extend because there's no structure, just accumulated features. people who think deeply about systems can now move 100x faster. you spend time on the hard problem – understanding what you're building and why – and ai handles mechanical translation. you're not bogged down in syntax, so you stay in the architectural layer longer. the future isn't "ai replaces programmers" or "everyone can code now." it's "people who think clearly about systems build incredibly fast, and people who don't generate slop at scale." the skill becomes: holding complexity, breaking it down cleanly, communicating structure precisely. less syntax, more systems. less implementation, more architecture. less writing code, more designing coherence. humans are great at seeing patterns, understanding tradeoffs, making judgment calls about how things should fit together. ai can't save you from unclear thinking – it just makes unclear thinking run faster.
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Live (well, prerecorded) on @LWSTDFM for the next 2 with my big brother @adammench standing in for @AndyTheakstone. lovewillsavetheday.fm/
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My mother, Dr. Shyamala Gopalan Harris, came to the United States from India at 19. She taught me and my sister, Maya, about courage and determination. It is thanks to her that I am ready to lead us forward.
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It’s called Design, folks.
Getting into the trenches with real users can lead to better solutions. Get out there. Shadow people. Watch people work.
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Back on @LWSTDFM with @AndyTheakstone in a couple of hours, and monthly on the third Friday from now on. Shout to the whole team for having us. 3:00-5:00pm... lovewillsavetheday.fm/
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Isn’t it as simple as the fact that the man is the face of the business. And this face has a personality (unlike the technology he’s building) which is revealing itself to be more warped, sinister and problematic than we’d ever really realised?
This quoted post is unavailable.
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Fauxthenticity. Visiting old towns in far away lands that have had their souls gutted out and replaced by homeware stores and coffee roasters.
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AI-heavy-lifting-to-human-in-the-loop really is an unavoidable evolution in workflow isn't it
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