Amey @themadhacker01
Sharing what i learn, unless it's about dating.. coz then it's intellectual property linkedin.com/in/amey-shitol… Joined July 2019-
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THE ANTI-PITCH: One-liner rebuttals that kill startup ideas The optimist has the Pitch, and the skeptic has the Anti-Pitch. The Pitch — and sometimes we call it the elevator pitch — is sacred inside the tech industry. We pithily describe a new idea, how it works, and why it’ll…
The purest reason to make something is not to make money and not even to make the thing. It’s to have the experience of making the thing - and no one can take that from you.
If you’re selling, your job isn’t to sell, it’s to build trust.
there's 3 reasons to get peer reviews on a theory 1. alignment: to update team members and share information 2. contradiction: to get opposing pov that force you to rethink 3. enrichment: to widen your pov and consider more angles the worst reason to get reviews: affirmation
So if I had to boil down my advice to one sentence, it would be: Find a kind of work that you're so interested in that you'll learn to do it better than AI can.
No big deal or the end of the world? Here’s something that should be obvious: People don’t like to have their grievances downplayed or dismissed. When that happens, even the smallest irritations can turn into an obsessive crusade. Imagine you’re staying at a hotel, and the air…
The best reason to start a startup is just that you feel so compelled by a problem, you can't not solve it Everything else - money, flexibility, being your own boss - are terrible motivations that won't sustain you through the extensive journey every founder has to go through.
Entrepreneurship rewires your brain and this is how. You have a startup idea. You ship it. Most ignore it. You keep going. A few strangers swipe their credit cards. You iterate. You figure out how to get more attention. More customers sign up. They stick around longer. They…
product managers here share gemini prototypes now , not wireframes or documents ✨
Product Management is, at its heart, about managing risk. But the risks at play are not obvious. The extended classification beyond the famous "Value, Usability, Viability, and Feasibility:" (plus AI-specific risks) 🧵
Every investor is asking: "How is this defensible?" @vedikaja_in created a rubric to stress test a startups AGI-proof moat.
How to become expert at thing: 1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise) 2 teach/summarize everything you learn in your own words 3 only compare yourself to younger you, never to others
On the dangers of giving feedback to your manager (the reality vs. the theoretical fantasy)
Experience isn’t an outcome of events but high quality reflection of those events.
The view that imagines AI wiping out jobs or causing some overnight shock to the system doesn’t contemplate that companies are a made up of a series of bottlenecks. When AI accelerates work in one area, you run into a bottleneck somewhere else. As any individual workflow gets…
Leadership calibre is the proportion of top performing teammates willing to follow a leader to the next venture even at a lower salary.
AI doesn’t do it end-to-end. It does it middle-to-middle. The new bottlenecks are prompting and verifying.
SELL BEFORE BUILDING I've now seen multiple episodes where PMs have used vibecoded / no-code prototypes to get 2-5 customers to sign LOIs or even contracts, and then use this "proof of real demand" to build a MVP. In some cases, customers have been so eager that they've started…

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