Why you need to be selfish: (thread)

1/ Someone emailed me asking how to break into VC, so I wanted to answer on Twitter where others could see and contribute to the conversation.

2/ “Being a VC” can mean a lot of different things, so it’s worth asking:

What actual activities do you want to do?

- Deep market analysis?
- Be in the flow of information and people?
- Make deals?
- Work closely w/ founders over time (e.g take board seats?)
- Manage capital?

3/ It’s worth specifying what type of VC you might like to become — as there are different archetypes. E.g.

- Benchmark (Lead series A/B - couple investments a year)
- First Round (Lead seed rounds, partner w/ a few companies a year)
- SV Angel (Make lots of seed investments)

4/ Continued:

Expa - Incubate companies

YC / Village Global - Build a platform to help entrepreneurs at scale

Do you want to join a firm or start one? There’s a lot to consider.

Different paths will require different skillsets & sets of experiences.

5/ Since the person who wrote the email is a young person trying to break into VC by joining a firm (and who doesn’t want to start a company), I’ll tailor this tweet storm to that goal. There’s some overlap.

Mr. Vijay Kedia built a net worth of over Rs. 800 crores.

But you probably never read past that headline.

So I binged hours of interviews to learn his investing principles and strategies.

Here are 20 lessons on investing from @VijayKedia1 Sir:

Collaborated with @AdityaTodmal

Before I start, a quick disclaimer, please don't ape his portfolio.

As the entry price, horizon and risk appetite would be far different than yours.

Rather lets draw inspiration and try to learn his stock picking skills.

Now let's DIVE IN👇

1/ Started off as a trader:

- Soon, beginner’s luck started to fade out and loses started to mount, to an extent where his mother was about to sell her ornaments.

- Although he was able to dodge the situation.

- This incident taught him the biggest lesson to have a stop-loss.

2/ Punjab Tractors:

- In 1990, he made his first investment by putting in his 10-years savings of Rs 35,000 in this stock, based on a news trigger that tractor industry will witness a turnaround.

- It worked and fetched him 4-5 times which he calls it as a fluke.

3/ He believes that an investor must possess three qualities:

i. Knowledge,
ii. Courage, and
iii. Patience.

Agastya Muni & Kaveri River
#story
This is a story which describes how River Kaveri was brought on earth by Agastya muni. There was a king named Kavera lived in the Brahmagiri hills who prayed to Brahma for a child. He was blessed with a daughter whom he named Kaveri.

Agastya muni married her. A demon, named Shoorapadma, wanted to trouble people so he prevented rain from reaching South India. As a result famine occurred in South India.
Agastya Muni who came that way was very sad seeing this. He started to pray Mahadeva for a solution.

Shiva gave him small amount of Ganga water in his Kamandalu (small pot) and said wherever you spill this water the river will flow from there. Agastya Muni travelled lot of places to find a suitable place to pour water. Feeling tired he kept his Kamandalu and took rest.

At that time Ganesha took a form of crow and perched on the Kamadalu and made a hole that water began to flow as river Kaveri. This place is now called as Talakaveri (Karnataka), located in the Brahmagiri hill.

Tala Kaveri has temple for Agastheeswara, which denotes the story between Kaveri and Agasthya muni. Kaveri is a part of Ganga, thus, also called Dakshina Ganga.
🙏🕉🙏

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.