Peter Yang

The reason why Anthropic is winning in product is precisely because they decided to FOCUS on: - Enterprise - Coding & helping people get work done They didn't try to go after consumer or compete with Google on multimodal or build hardware devices, other apps or whatever. Also the smart people I know seem to genuinely enjoy working there. Just my observations.

Imagine Google bundling Gemini into YouTube Premium.

If you use one of the top AI browsers (Open AI Atlas, Perplexity Comet, Dia) - what's your favorite practical use case so far? I haven't found them super useful outside of getting insights for YouTube videos

"Every morning, I type '/today' into Claude Code and watch it generate my to-do list." Here's my new episode with @ttorres where she demos how she uses two Claude Code terminals and a note taking app (Obsidian) to run her entire life and business. We cover: Her 3-layer context system (global rules → project rules → reference files) Writing 9,000-word blog posts in 1.5 days with Claude Code as a thought partner How to set up a personal OS with Claude Code step by step Some quotes from Teresa: "Whenever you explain something to Claude, stop and ask—will I have to explain this again? Then capture it in a context file." "I wrote 9,000 words in 1.5 days. There's no way I would have done this myself." "You don't have to get here overnight. Every time you do a new task, just ask—how can Claude help with this?" Watch now: https://youtu.be/uBJdwRPO1QE

My top 5 takeaways from Tanay, @wisprflow's founder, on building AI products that stick: 1. "We no longer have ARR as a North Star" AI companies can hit millions in ARR from new users who churn fast, then get trapped using paid spend to fuel unsustainable growth. Instead, focus on retention and habit formation—70% of Wispr's users retain every year. 2. To help users form habits, study games From Tanay: "Most software is terrible at building habits. I look at games." He models Wispr Flow after Mario where "playing the game is the onboarding." Users level up instead of getting overwhelmed upfront. 3. Avoid decision by committee ""For every single thing, there is one decision maker. Everybody else just has an opinion." Tanay's 25-person team now runs 20 projects in parallel by assigning clear decision makers. 4. Require AI prep work before every meeting "People need to show up having done the basic ChatGPT work beforehand. We spend the meeting on: Of these 20 ideas ChatGPT suggested, what are the three we're doing?" 5. Curiosity → competency → passion. "Curiosity and competency often precede passion. Once you see yourself killing it at something, you just want to do that again." He learned to code at 9—"I was shit in the beginning, but a year later I was less shit."

I'm putting my ChatGPT Plus subscription on pause. @claudeai is too good at helping me get work done to cancel. I have 12 Projects that I use weekly along with new Claude Skills that I'm setting up now. @GeminiApp's real differentiator is multimodal. Nano Banana is incredible at making marketing assets and infographics in my style and I expect it to only get better. I predict image, video, and world gen will become more lucrative than text gen in 2026 and Google is far ahead here. OpenAI should figure out where it wants to differentiate for power users like me. It's still the preferred tool for normies (my parents love it) but normal people don't pay the $$$ :)

The biggest AI unlock for me has been to default to voice instead of typing. This chart from @WisprFlow is a fascinating look at how its users learned this over time.