Last month, I had a chance to talk to Ankit Nagori - the co-founder at Cult or Cure.fit This first appeared on https://niranting.substack.com Transcript Origin Story IIT to Flipkart for 6 years and then left with Mukesh Bansal of Myntra to start Cure.fit Ankit Nagori 0:00 Great. So I think my journey my journey started with Flipkart. That was a couple of years after I finished my undergrad at IIT. And at Flipkart, I spend close to six, six and a half years trying to build new businesses and figure out new markets for expansion.

I’d written originally this in August 2019 with a bit of foresight of a pending recession. I wrote this primarily for myself. Multiple reviewers have mentioned that they found it immensely useful, so sharing it with you here! Unfortunately, I didn’t follow some of the important notes here myself. Hope you do better than me!!! Hard Assumptions Recession will happen in the next 6-24 months Will hurt technology startup professionals which depend on VC money directly as pay cheques

Don’t just network with people your own age Beware the whiz kid syndrome. Smart, young people have a habit of forming communities of other smart young people and feeding off each other’s energy. Argghhhh. Are you not just making mistakes made by older people again? Make original mistakes Youth enclaves can actually be restrictive. In fact their networking should be about meeting useful mentors and career champions who can open doors and fast track careers.

Broadly speaking, it’s useful to think of your career as a startup. Your profit+growth percentage should be a minimum 40% So say, you join a big company like Microsoft and your skills grow at 20% every year, while your pay only grows 10% - that’s bad. You need to grow your skills and outcomes faster. The other extreme is also fine: You join a small startup which can make great use of entrepreneurial DNA plus specific skills.

I wanted to drop by and wish you a very Happy Diwali! This is an annual email that I write to say thanks to mentors, friends, allies - everyone who has chipped in sculpt a better me. So that is what I’ll begin with: Thanks a ton for being there for me! Also, checkout the 2018 edition of the annual email in attachment if you’re curious :) Moving onto the least comfortable piece, talking about myself:

Algebra, Topology, Differential Calculus, andi Optimization Theory For Computer Science and Machine Learning https://www.cis.upenn.edu/~jean/math-deep.pdf Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf http://d2l.ai/chapter_appendix_math/index.html

On Death Is usually better the sooner it happens. Just like it’s best to retire from your cricket career at your peak for your own sake, it’s best to die when you are at your peak. You just might become Father of the Nation. No one wishes that they’d accomplished less on their death beds. You might hear that no one wishes that they’d worked more. That’s right too. And there in lies the great human stupidity.

Mayank asked on Twitter: Some ideas/papers/tools on monitoring models in production. A use case would be say a classification task over large inputs. I want to visualise how are the predicted values or even confidence scores vary over time? (paraphrased) Quick Hacks pandas-profiling If you are logging confidence scores, you can begin there. The quickest hack is to visualize with pandas-profiling: https://github.com/pandas-profiling/pandas-profiling/ Rolling means Calculate rolling aggregates (e.g. mean, variance) of your confidence scores.

ये जो लोग-बाग हैं, जंगल की आग हैं Ye jo log baag hain, Jungle ki aag hain The people, are jungle fire क्यूँ आग में जलूँ... Kyun aag mein jalun Why should I burn in the fire? ये नाकाम प्यार में, खुश हैं ये हार में Ye nakaam pyaar mein, Khush hai yeh haar mein Defeated in love, they're happy in defeat इन जैसा क्यूँ बनूँ... Inn jaisa kyun banun Why should I be like them?