LLMs are a virus, they have infiltrated every corporate level on a global scale. This is the so-called “singularity” and the final boss of globalization. Everyone using the same borg brain to “think” and make decisions. Thoughts? Anyone?
Most frustrating thing I’ve seen today: @intercom website has no login button nor does it even have its own support widget or link to a support page. Maybe I missed it though
Honestly, traditional visually appealing web design might soon be a thing of the past. We need to start building websites that LLMs like and can quickly navigate. Is it just markdown? Or will web accessibility standards (for screen readers, etc) soon enter the spotlight?
I’ve looked inside a few engineering orgs recently. Mostly teams inside traditionally non-technical companies.
What shocked me wasn’t bad code. The code was just fine. Tests fine. CI/CD also just fine.
It was how little structured AI leverage there was.
Everyone dabbling.
No system.
No multiplier.
There reason is obvious and not at all what you might think.
Can you imagine 1609 when Shakespeare dropped Sonnet 5 on the masses
absolutely ruining every other poet overnight
Anthropic 🤝 history repeating itself
Who else is vibe coding AI tools for investing? So far I’ve built agents to manage options wheel cycles, rank upcoming biotech catalysts, propose debit spreads and lotto calls for biotechs, and a bunch of other things. Best so far has been the wheel agent but you don’t really need AI for that. Everything else is still as unpredictable as you’d expect.
Everyone’s talking about getting rich vibe-coding small apps, but here are some bigger bets to take this year if you want to create something truly valuable:
1. “ChatGPT / Claude for X”, where X is off-limits to general models (privacy, security, regulation, proprietary data). Needs to be as good or better than the base model. Example: OpenEvidence
2. Things that make Claude meaningfully better for a specific vertical. Claude Skills are the real unlock: packaged workflows + domain expertise = massive output gains. Expect marketplaces to form around this.
3. Products that help humans talk to other humans. Dating. Conversation. Coordination. Connection can't get automated away and only gets more valuable as AI eats attention. Example: Twos
4. Conversation-based tools for specific tasks. Phone or text. No UI. No app. Just results. Example: Boardy (love it)
5. Infra that makes AI usable in the real world. Reliability. Security. Observability. Shipping across environments.
Anything you build purely for yourself to automate, learn, or make money? Don’t bother scaling it. Anyone else who cares already built their own.
And none of this changes the fundamentals:
trust and distribution are still king.
I wrote this as a reminder to myself. Hope it helps you too.
2026 is when the app era actually starts dying.
ChatGPT and Claude didn’t win because they’re smart.
They won because people don’t want to do shit anymore.
They want to say what they want
and have something else do the work
while they live their lives.
Clicks, menus, dashboards, onboarding flows... all friction nobody needs.
Conversation will beat UI (almost) every time.
I love side projects.
Worst case: you learn something.
Best case: you accidentally build a company.
Happens more than people think.
How common is it for people to communicate with their doctor by email? My GP blocks all email (citing “privacy concerns”). Why are some docs in Canada so old school? Lack of funding? Technology?
Dave Caplan retweeted
🚨New data alert! 🚨
bostonpublicschools.org/Page…
BPS has installed sensors in all BPS classrooms and is now releasing temperature/air quality sensor data/indicators from all BPS classrooms
You love to see it 🙌

