nishank jain
1.4K posts

nishank jain
@_nishankj
something new :) earlier @accel





You have no experience. You’ve never started a company. You’ve never had a full time job. Nike is going to kill you. You’re a kid. You don’t have technical skills. You shouldn’t build hardware. Apple is going to kill you. You can’t build hardware. You can’t measure heart rate non-invasively. Athletes don’t care about recovery. Under Armour is going to kill you. It won’t be accurate. You don’t listen. You’re an ineffective leader. You can’t recruit great talent. You’re going to have to pay every athlete. You can’t measure sleep non-invasively. It’s too expensive to research. Athletes are a small market. The product costs too much to make. The product costs too much to sell. Your valuation is too high. Consumers aren’t going to want it. Hardware is too hard. You should measure steps. Fitbit is going to kill you. You can’t build a marketing engine. You can’t raise enough money. You need a real CEO. Google is going to kill you. You can’t be a subscription. You can’t build a brand. You can’t do consumer in Boston. Your valuation is too high. You shouldn’t make accessories. You shouldn’t make apparel. Lululemon is going to kill you. You can’t predict Covid. Stay in your niche. You are going to run out of money. You can’t build a health platform. Amazon is going to kill you. You can’t measure blood pressure. You can’t get medical approvals. The market is too small. You don’t understand AI. The market is too competitive. It won’t work internationally. The supply chain is too complicated. You can’t build an AI. You can’t raise enough money. It’s too competitive. Healthcare isn’t going to want it. … Just keep going ✌️




Pavan Ravitapi at @cursor_ai raised a great point at dinner last week: Reusable artifacts like skills, sub-agents, and custom rules are how context will diffuse through the AI-enabled firm. ~1% of engineers are making them, and discovery is an unsolved problem, but they benefit the whole org when shared internally. Cracking artifact authorship will be a big unlock.




how to tell the difference between AI-native products versus when AI is bolted on after the fact... fake AI products: - main AI feature is an AI button with sparkle icons - chat pane where you can ask LLM questions - no memory/personalization beyond one chat - users try it once and go back to using the app the "normal" way - AI is optional not essential to the product working AI native products: - you can spend $100 or $1000 via tokens as you use the product - it gets substantially better every 6 months as base models improve - core workflow is impossible without AI, not just enhanced by it - creates behavior change when users try it what else should be on this list?


Prototyping is easy Productionizing is hard. Productionizing and being cash flow positive is excruciatingly hard. - from how Elon works by @FoundersPodcast





