#TATASTEEL - Tata steel Daily long - TradingView -

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.

GHATI SUBRAMANYA, DODDABALLAPURA (KAR)
#bharatmandir

One of the most important place for snake worship.
The murtis of Kartikeya and Narasimha are self-manifested.
There is an anthill which is opposite the shrine. Bhaktas pour milk on it as part of rituals.

Here Subramanya performed penance in the form of snake. He sought protection from Narsimha for Nagas from Sri Vishnu’s vehicle Garuda, known for his dislike towards serpents.
The Pushya Suddha Shasti is one of the biggest festivals here believed to be appearance day of Subramanya

It was in this region where Subramanya vanquished Ghatikasura, the demon. Hence called Ghati Subramanya.
Childless couples visit here to seek blessings for getting a child.
The installation of snake murtis near the shrine is believed to be an auspicious act.

The murti of Karthikeya with a seven headed cobra faces eastwards while Narasimha faces westwards.
To ensure that both are visible to bhaktas at the same time, a huge mirror is placed in the rear in the sanctum sanctorum.

Strong Monopolies:

IRCTC 100% Market share in Rail Network.

IEX >90% market share in power trading.

Zydus wellness >90% market share in sugar free product.

Eicher motors >85% market share in 250cc bikes category.

MCX >85% market share in commodity trading.

Coal India >80% market share in coal production in India.

ITC >75% market share in cigarettes.

Honda Siel >75% in portable power generators.

Hindustan Zinc >75% market share in primary zinc industry.

Asahi India Glass >70% market share in automotive glass.

NRB Bearings >70% market share in needle roller bearings.

Pidilite >65% market share in adhesives.

CAMS >65% market share in RTA within mutual fund industry.

Time Technoplast >65% market share in polymer based industrial packaging.

Concor >65% market share in domestic container cargo transport.

Exide >60% market share in lead batteries.

Naukri >60% market share in the Indian job market space.

Praj >60% market share in ethanol plant installing.

Indiamart Intermesh >55% market share in the online B2B Classified space.

Borosil Renewables >55% market share in Lab glass.

Vst Tillers >50% market share in
Power tillers.

Delta corp >50% in online poker games.

Vinati Organics >50% market share in IBB.

One thing that goes unremarked about Wikipedia: the vast majority of the content was written over 12 years ago—which means (given turnover) that the editors dominant today were not directly involved in that creation.

Put another way, the editors who built the dominant nodes in this network...

...have little overlap with the ones who made this much more recent managerial flowchart.

Internet time runs at hundred-fold speed—the difference between the people who painted what's in the Uffizi, and the people in charge of keeping those paintings from deteriorating. Very different tasks, and (one presumes) very personalities as well. @PaulSkallas?

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.