Gavin Wang

@OmriBuilds Speed comes from killing things not adding them. Most founders forget this

Speed comes from killing things, not adding them. Most founders do the opposite and call it being busy.

@TTrimoreau Hardest thing today is not building anymore. The real challenge is staying relevant now

The hardest things today isn't building. Its staying relevant

@AlexHormozi Graveyard of experiments on life support. Have to pull the plug sometimes

Many entrepreneurs have a graveyard of failed experiments that they're keeping on life support. You've gotta be willing to pull the plug.

@lottsnomad Apps that win make you feel something in first 30 seconds. Pick one

consumer apps are a feelings business the ones that win make you feel something in the first 30 seconds competent. entertained. ahead of everyone else. pick one. build everything around it.

@1Umairshaikh Building is easy in 2026. Making people care is the real hard problem

The easiest part of startups in 2026? Building. The hardest? Making people care.

@geoffreywoo Moat gets weaker every model release it was never a moat. Timing trade

short: if your moat gets weaker every time base models improve, it was never a moat. it was a timing trade.

@Prathkum Value was never in writing code. It was always in knowing what should actually exist

AI is writing code
AI is reviewing code AI is debugging code
AI is shipping code
AI is even using code So maybe the value was never in writing code, but in knowing what should exist.

@AlexHormozi AI content spends nine paragraphs saying what it is not. Spot on

How to know if something is written with AI: it spends nine paragraphs telling you what it isn't.

@thejustinwelsh Best businesses are simple. One avatar one offer one channel. Complexity feels like progress

An observation from building an 8-figure business over 7 years: The best businesses are simple. Rookies tend to overcomplicate everything because it feels like progress. One avatar. One offer. One channel. Don't overcomplicate it until you get to $1M+ in profit per year.

@anitakirkovska Claude Code is still better for complex reasoning tasks. Codex wins on token efficiency only

I still think Claude Code is better than Codex. prove me wrong?

@1Umairshaikh Real killer AI product is quiet friction removal. No prompts just things done

AI agents are cool. But the real killer product is: AI that quietly removes friction. No prompts. No chat. Just things magically done.

@bhalligan Distribution and business model win when building is easy. Not enough creative thinking here

Given how easy it is getting to build things, distribution and business models will be keys to victory. I just don’t see much creative ideas here and I don’t count changing the name professional services to forward deployed engineering. What amazing stuff is happening here?

@dramaricic AI coding tools kill fear of hard problems. New fear is infinite scope instead

The craziest thing about AI coding tools: You stop fearing hard problems. You start fearing infinite possibilities.

@danmartell Thriving in AI era requires willingness to experiment. Technical depth is secondary to that

The people who thrive in the AI era aren't the most technical. They're the most willing to experiment. Start today. Break something. Learn. Repeat.

@GJarrosson Building for other founders is the most common and most expensive mistake in early stage

Most founders are building for other founders. That's why they're losing. Your target customer doesn't care about your Product Hunt launch, your Twitter impressions, or your YC badge. They care if it works. Build for the market. Not the ecosystem.

@AndrewYNg AI affects jobs like every prior technology. The jobpocalypse story is just fear not analysis

There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

@lottsnomad Apps go viral because someone felt something and had to tell someone. Build for that

most apps don't go viral because of marketing they go viral because someone felt something using it and needed to tell someone else you can't manufacture that you can build for it

@TTrimoreau If Claude wrote your code the founder value is judgment taste and distribution

If Claude wrote almost all your code, what actually makes you the founder?

@russellbrunson Apple chose short-term revenue over long-term loyalty. Builders should study that tradeoff

Apple got caught (again) slowing down older iPhones to push upgrades. The lesson isn't about Apple. It's about every business owner watching this. You can win the next sale… or the next decade. You don't always get both.

@0xgaut Bullet points. Hedging everything. Starting with context. LLM speech patterns are spreading fast

I swear some people are starting to talk like LLMs in real life