Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.
Over the last months @mmkaradeniz and I made a new version. We launched it last night:
It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1
Side-by-side screenshots of the old and new version. /2
Additionally it shows the account ID. Useful when making screenshots and accounts change their screen name. /5
It gives a quick overview when an account is active and at the same time allows to drill deeper into the data. /6
It seems like I don't link out of Twitter often any more. /9
I love to reply to myself (threads!). But I also retweet myself often (Look at this awesome Tweet I made!). Finally, I mostly quote myself (Well.). /10
Much easier to understand things. /11
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Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!
Legacy site *downloads* ~630 KB CSS per theme and writing direction.
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices
PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices
The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.
The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
Facebook still added 37M monthly & 24M daily users thanks to big gains in the Asia-Pacific region, but those users earn it 1/10th as much as US/Can users
The real story dragging on Facebook's share price is that yearly revenue growth has fallen from 59% 2 years ago to 33% today. It's run out of lucrative Western users and News Feed ad space.
Let's remember that Facebook doubled its security staff & cut back on viral videos/clickbait. That drags on its profits & revenue, but are crucial to society. And while Twitter shares soar, it has made no such commitments to fighting harassment & misinfo.
And it's important to get this story right if we want to maintain
Around 1900, the US was a bit of a scientific backwater when compared to Europe. Most of the exciting work was being done in Germany and Austria, especially.
Then came three enormous waves of academic and scientific talent to the US.
1) First came a group of Jewish scientists fleeing persecution.
In a massive own-goal, 1930s Nazi Germany dismissed ~15% of the physicists who made up a stunning 64% (!) of their physics citations.
The group who fleed to the US included intellectual superstars like Albert Einstein, Leo Szilard, John von Neumann, and Edward Teller who formed the backbone of the Manhattan Project.
In a pithy quote, Churchill’s military secretary Sir Ian Jacob is said to have remarked that the Allies won “because our German scientists were better than their German scientists.”
(2) There is company called Databricks and they open sourced recently a technology called: https://t.co/gpZyKKiMVD . This technology is super important
(3) In BigData delta allows one to perform DELETE and MERGE operations contrary to Hadoop + Hive where this is not possible, seeking through many partitions finding customer data to remove and then rewriting it is not only expensive as an operation but also very dangerous
(4) This promising technology is something that many companies, which have big data turn into as they need to be GDPR compliant.
(5) I was always reading and accepting all details from their website as given and the "truth"
(6) There is however an amazing Principal Developer at our company that found some of the claims from their website as dubious, e.g. ACID claims on such a distributed file system
(7) It turns out this is not the first time this company advertises something that is simply not true
(8) on another occasion this company made untrue claims about Cassandra database and this then became source of disputes e.g by dr. @martinkl - my fave expert in distributed systems
(9) All professional developers also know of course famous Jepsen tests ->
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Please add your own.
2/ The Magic Question: "What would need to be true for you
3/ On evaluating where someone’s head is at regarding a topic they are being wishy-washy about or delaying.
“Gun to the head—what would you decide now?”
“Fast forward 6 months after your sabbatical--how would you decide: what criteria is most important to you?”
4/ Other Q’s re: decisions:
“Putting aside a list of pros/cons, what’s the *one* reason you’re doing this?” “Why is that the most important reason?”
“What’s end-game here?”
“What does success look like in a world where you pick that path?”
5/ When listening, after empathizing, and wanting to help them make their own decisions without imposing your world view:
“What would the best version of yourself do”?
1. Plain vanilla Variant
Enter straddle at 9.20 with sl on each leg and square-off at 3.15
2. Time Variant
Enter at different time instead of 920 like 930, 945 , 100 letting market to settle down
3. Tripple Stradlle Variant
Enter atm , atm+strike, atm-strike at 920
4. Rolling Variant
Enter at 920, roll the strike as the market moves
5. Pyramid Variant
Add more quantity once the trade is in your favour
In the 1990s, a maverick breast surgeon at @TataMemorial (fresh from his return from the UK) stepped up to do research. Now, to understand the situation, you should go back 30 years, when research was not as big as it is now, and certainly not from surgeons.
Surgeons, and especially cancer surgeons, were renowned for their technical prowess, and their sheer bravado – "wherever the cancer, however advanced, I will take it out". So, our surgeon-researcher was ridiculed for even attempting clinical research
For a surgeon, he couldn’t have chosen a worse topic to research on: early detection; nothing to do with surgery, or even treatment. Remember, this was the 1990s. Cowboy surgery was celebrated, and research ridiculed
Being a breast surgeon, he was troubled with women consistently coming with advanced cancers, and he set out to see if he could work on picking them up at an earlier stage. But community-based early detection needs money, and he just didn’t have it.
As a dean of a major academic institution, I could not have said this. But I will now. Requiring such statements in applications for appointments and promotions is an affront to academic freedom, and diminishes the true value of diversity, equity of inclusion by trivializing it. https://t.co/NfcI5VLODi— Jeffrey Flier (@jflier) November 10, 2018
We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.
Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)
It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.
Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".