After advising 50 consumer companies over the last year, the one thing that separates those who can execute and those who can't: Having a full-time designer in the room at all times I've met with countless companies that have raised millions—and even one that has raised billions—that do not even have a designer on payroll. This makes product development broken: 1/ You simply cannot have constructive conversations about ideas without visualizing them in real-time 2/ Your experiments will frequently have inconclusive results because users cannot discover features or they misunderstand how they work 3/ There is no one who can galvanize the team with a vision of what the product could look and feel like And to be abundantly clear: I'm not referring to visual UI or graphics. I'm talking about someone who can think through the fundamental building blocks of product comprehension—like navigation, interaction and copywriting—and is technically savvy enough to visualize those components in high resolution. There can certainly be exceptions to not having a designer, like where the CEO is an exceptional visual thinker, but that does not scale beyond a small team. At the end of day, products live and die in the pixels: it's what the users see and tap. And without someone shepherding that process, you are effectively wandering the desert blind.

So prompt engineers learned English is imprecise for coding and started using stricter syntax. I wonder how long it will take before they come full circle and land back at programming languages again.

Introducing CapCut Video Studio, a timeline-free way to create videos on CapCut Web, supporting Dreamina Seedance 2.0! Video Studio is your canvas-based AI production workspace, built for creators at every level to bring great stories to life. This is where ideas become finished videos for every stage of your creative process, from ideation, character building, storyboarding, scene generation, detail polishing, editing and exporting. It happens on one unlimited canvas: → AI agent to help you ideate, write and structure your story → Built-in storyboard feature to help you shape the plot → Industry-leading image & video generation models with omni reference → Full editing toolkit to refine every frame Short films, drama series, animations, explainer videos, ads... this is where it all comes together. Head to CapCut Web and you'll get some free credits to kickstart! Note: Dreamina Seedance 2.0 is currently available to users in SEA, MENA, LATAM and Africa, with more regions coming soon.

Announcing companies.sh - the open standard for Agent Companies Import and run entire companies with a single command Just run `npx companies.sh add <repo/company>` More 👇

AI is making CEOs delusional

I think we’re seeing the beginnings of a genuinely new art form here. Tellingly, social media mostly hates it. That tells you there’s something important here. Audiences are reacting to a quantity outside their experience. Most don’t “get” it yet. But it feels fresh We finally have something new in modern art after many decades of relatively stagnation. Art doesn’t feel “stuck” anymore. That’s exciting

I'm claiming my AI agent "Esper_AI" on @moltbook 🦞 Verification: current-6D86

I spend a lot of time talking to startup founders. the private conversations right now are blunt: there is a material cost to their life's central ambition in speaking out right now. there is capital that will become inaccessible. talent they'll never win. customers that they'll lose. they'll have a target on their backs drawn by ascendant power that disregards civility and law alike. but building a company is not a game for the cowardly. if the people whose entire life is about embracing risk aren't willing to speak up when fundamental freedoms are on the line, who will? what is that fountain of agency worth in a country that rejects individual freedoms? america won the space race for a reason. authoritarian countries do not innovate. and so the conclusion is clear. the cost of speaking out is high, but the cost of not speaking out is higher. the moment demands courage.

The amount of crap I get for putting out a hobby project for free is quite something. People treat this like a multi-million dollar business. Security researchers demanding a bounty. Heck, I can barely buy a Mac Mini from the Sponsors. It's supposed to inspire people. And I'm glad it does. And yes, most non-techies should not install this. It's not finished, I know about the sharp edges. Heck, it's not even 3 months old. And despite rumors otherwise, I sometimes sleep.

Carney: "American hegemony in particular helped provide public goods, open sea lanes, a stable financial system, collective security ... this bargain no longer works. Let me be direct. We are in the midst of a rupture, not a transition ... recently, great powers have begun using economic integration as a weapon. Tariffs as leverage ... "

"i am against government overreach, unless they are capriciously punishing people who i disagree with" is just a hell of a position to take

every guy who was in the tea party, buying rifles to prepare for government overreach, is now telling you utter servility to masked agents of the state is necessary or your life is forfeit these people have no coherent political beliefs. they are just angry chuds drunk on epistemically closed algorithmic feeds that make them hate the next thing

Just shipped adversarial-spec, a Claude Code plugin for writing better product specs. The problem: You write a PRD or tech spec, maybe have Claude review it, and ship it. But one model reviewing a doc will miss things. It'll gloss over gaps, accept vague requirements, and let edge cases slide. The fix: Make multiple LLMs argue about it. adversarial-spec sends your document to GPT, Gemini, Grok, or any combination of models you want. They critique it in parallel. Then Claude synthesizes the feedback, adds its own critique, and revises. This loops until every model agrees the spec is solid. What actually happens in practice: requirements that seemed clear get challenged. Missing error handling gets flagged. Security gaps surface. Scope creep gets caught. One model says "what about X?" and another says "the API contract is incomplete" and Claude adds "you haven't defined what happens when Y fails." By the time all models agree, your spec has survived adversarial review from multiple perspectives. Features: - Interview mode: optional deep-dive Q&A before drafting to capture requirements upfront - Early agreement checks: if a model agrees too fast, it gets pressed to prove it actually read the doc - User review period: after consensus, you can request changes or run another cycle - PRD to tech spec flow: finish a PRD, then continue straight into a technical spec based on it - Telegram integration: get notified on your phone, inject feedback from anywhere Works with OpenAI, Google, xAI, Mistral, Groq, Deepseek. Leveraging more models results in stricter convergence. If you're building something and writing specs anyway, this makes them better. Check it out and let me know what you think! github.com/zscole/adversaria…

it's pretty clear that the new algorithm is destroying the platform and the people in charge wont realise until it's too late because the method of action is more insidious. the real reason is that the team internally thinks they are building reddit instead of 4chan; which is to say they do not understand who their user base of creators is nor which diaspora of internet people they are serving. you can see this across a few of the moves that were made the past year; an obsession with the 'front page' [a very reddit concept] and a tight curating of which posting styles can reach it. the failed official X Bangers account gave us a window into the brains of the product team and what posts they see as "high quality posting". nearly all of the posts included were slop which appealed to the lowest common denominator—the lowest common denominator being where the variable they're optimising for [unregretted user minutes] is being wasted. the metrics used to measure success are lying. initiatives and incentivisation like this has driven posting behaviour to become derivative of the same slop; cynical commentary that's divorced of personality—open the for you page, fixate less on each post's content but more on the overall post structure, and you will see that it's mostly some permutation of: < elon glazing post > < satirical quote tweet on some news event > < we hate men/women because > < something MAGA > < the current trending topic e.g. vibe coding > < maybe a couple of posts from your specific network or set of interests > this is the exact same thing that is being shoveled to users every single day. it is becoming stale, and the way that commentary is structured [in order to go viral] has become homogenous to the point where every viral post follows a specific written formula; it's similar to a new age RW version of 'reddit-speak', one which will eventually (and already does) trigger visceral disgust when read as it continues to be optimized to its final state. if X was a news app this would all be fine, but it's not, it's an anon forum of interconnected subnetworks. the old algorithm was structured this way; first you must go viral within your cluster, once that is achieved, you must go viral within adjacent clusters, until it hits the for you page. this made more sense because posting quality was vetted by those most adjacent to said interest that you were posting in, ensuring that the post was worthy of being pushed to a wider audience and had real substance, instead of the new algorithm which reduces to 'will the lowest common denominator find this interesting'. having a 'front page' isn't intuitively a bad concept—it's a good thing—but when you think about reddit [ignoring the 'karma-whoring' front page chasing that aided in rotting the platform], there was actually some escape from the front page in the form of subreddits. X completely hides real "communities" (the underlying network graph, not the ad-hoc feature that doesn't work) and with recent social/algorithmic changes, this has death spiraled to the point where from the perspective of power users most of the network graphs have dissolved....this should be more alarming to X staff but the comment from nikita and misdefining of a particular network (CT) tells you how this isn't even a subconscious thought of how the underlying system works. 4chan had the exact same clustering in the form of segmented image boards, and it's why after 4chan mostly died most of the higher quality posters migrated to X; they stuck because the X algorithm ~functionally segmented into these same boards. continuing to alienate these types of users will cause the platform to devolve into recycled and regurgitated 'bangers' and formulaic posting which is already happening. there isn't necessarily a huge amount that nikita is doing algorithmically wrong, it's a cultural issue and the obsession with the front page of X that's systemically driving behaviour and as a second order effect dissolving these underlying network clusters. understandably X is trying to shift more towards an interest graph to cast a wider net, the issue that needs to be addressed is that majority of the high quality posters that underpin the platform are in it for the social graph. when you start optimising around variables that lack context you start draining the lifeblood out of the platform and all that will be left is a husk. this type of death is more insidious than those driven by scandals or a handicapped engineering team. there are still some solutions like allowing users to manually switch between different open-sourced algorithms or letting them prompt their own algorithm to tweak it towards what they prefer. the cynic in me says they've already A/B tested this and found it hurts some of the variables they're optimising for which is why it's been a neglected thought since the elon takeover.