I think we have to consider what "unity" means.

In the most foundational sense, unity exists whether we want it to or not. Our fortunes are tied together. We all impact each other. That form of unity carries risks, benefits, and, mostly, responsibilities. /1

1/ Throughout my startup career, I’ve seen many founders have an aversion to sales. This is a mistake that can kill your startup.

2/ Sales is often viewed as either a saving grace or proof that the product isn’t good enough (because it should sell itself). Neither are ever true. Some common mistakes that result in...

3/ Mistake 1: Hire a sales rep before reaching product/market fit to get your initial batch of customers. This is a mistake because founders need to work through their MVP with early adopters to truly understand what it is they’re selling.

4/ Mistake 2: Reach product/market fit, need to scale, and rely entirely on self-serve. For enterprise products that require big commitments and internal shifts, almost no product is self-explanatory enough to sell itself.

5/ Mistake 3: Make a first sales hire who isn’t scrappy enough to help mold the sales process from scratch. Some salespeople are amazing at their jobs, but not cut out to establish the processes that others end up following. This skillset is what @rdedatta calls a “sales ninja”.

1) Core attributes of a promising founder worth following:
- Progress/trajectory over time
- How well they lead a team &
- Make the vision happen
- Most impressed when someone is way ahead of where you thought they would be when you check up/see them a few months later.

2) Indie Makers have such a benefit of being small, fast, nimble workers in comparison to big companies.

We can easily pivot and vastly change a project of ours. We can change as we learn more about our users.

Big companies can take months/years for even the smallest of pivots.

3) Before you find a product market you can pivot your project as many times as necessary until you find something that works.

Then you only have one thing to do: scale, scale, scale.

4) Be obsessed with the little details.
- listen to every single person who uses your product
- reply to every single person who emails you about your product
- ask them what they like and do not like
- iterate your product, make changes, pivot if necessary

5) Paul Graham's (@paulg) name came up with a feeling of great admiration! Naturally! It was Paul who said:

In the early stages of a company just;
- write code
- talk/sell to customers to stress test your idea

Nothing else.

Sri Sanjeevi Rayar Temple located in Ayyangar Kulam,near Kanchipuram,TN

#Thread

Ancient but beautiful temple dedicated to Hanuman. This temple is a legendary one. According to the Sthala Puranam of Sanjeevi Rayar temple,it is associated with an episode from Ramayana.

Legend story -Hanuman was flying from Himalayas to Lanka bearing Sanjeevi hill to revive Lakshmana during battle between Rama& Ravana, a piece of the Sanjeevi Parvat fell at this place.Many believe this legendary story & even today that no one here dies of any kind of poisoning.

From historical background of the temple it is known that temple was originally built by a great scholar &administrator Kotikanyadanam Lakshmikumara Tatacharya. Temple itself&village were named following name of great scholar Tatacharya, who was then popularly known as Ayyangar.

He was the royal preceptor of Vijayanagara emperor Venkata Raya who had his capital at Chandragiri in AP.Upon returning from a pilgrimage,robbers tried to attack Tatacharya at this place. Being a great devotee of Hanuman,he instantly composed a poem in Sanskrit praising Hanuman.

The bandits immediately ran away &Tatacharya decided to build a temple dedicated to Anjaneya at that very place.This Sanskrit poem is called Hanumad Vimshati, has been inscribed in Grantha script inside this temple.The huge temple tank called Tatasamudram, in honor of Tatacharya.

1. “Who Are Ireland’s Members Of The World Economic Forum Implementing The Great Reset In 2021 ? 🧵1/28

🕵️🔎 Politicians, Musicians, Clergy, Bankers, Journalists, Human Rights, Artificial Intelligence, Sustainability, Corporations & Agriculture

2. In previous threads I have looked at 🇮🇪 key players in the Trilateral Commission as well as 🇮🇪 people who have attended the Bilderberger meetings. I also looked at the 🇮🇪 in the Young Global Leaders which is a site run by the WEF. You will see a lot of crossover between them.

3. The purpose of this thread is to compile all the Irish members into one thread for ease of access and reading rather than having to dive through the WEF site. This is by no means definitive and I will be adding more over time when they pop out of the woodwork.

4. Ireland’s WEF members are drawn from all walks of life but can be split into 2 separate areas. The WEF calls the first category “people” and the 2nd one “agenda contributors”. In total Ireland has a minimum of 61 members. Some of the names will be familiar and others will not

5. In this thread I’m just going to concentrate on the 21 people (there are probably a lot more). There are also 40 “agenda contributors” which I will cover in a separate thread. The agenda contributors are those who write articles or do research for the WEF site.

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.