Some people really benefit from hearing advice that everyone knows, for the same reason we keep schools open despite every subject in them having been taught before.
In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.
Charge more. Charge more still. Go on.
We don't see most of it every day for the same reason abstractions protect us from having to care about metallurgy while programming.
Serious people in positions of power eat Thanksgiving dinners, too. Guess what they ask at them.
More from Patrick McKenzie
If everyone was holding bitcoin on the old x86 in their parents basement, we would be finding a price bottom. The problem is the risk is all pooled at a few brokerages and a network of rotten exchanges with counter party risk that makes AIG circa 2008 look like a good credit.
— Greg Wester (@gwestr) November 25, 2018
The benign product is sovereign programmable money, which is historically a niche interest of folks with a relatively clustered set of beliefs about the state, the literary merit of Snow Crash, and the utility of gold to the modern economy.
This product has narrow appeal and, accordingly, is worth about as much as everything else on a 486 sitting in someone's basement is worth.
The other product is investment scams, which have approximately the best product market fit of anything produced by humans. In no age, in no country, in no city, at no level of sophistication do people consistently say "Actually I would prefer not to get money for nothing."
This product needs the exchanges like they need oxygen, because the value of it is directly tied to having payment rails to move real currency into the ecosystem and some jurisdictional and regulatory legerdemain to stay one step ahead of the banhammer.
Here's how I'd measure the health of any tech company:
— Jeff Atwood (@codinghorror) October 25, 2018
How long, as measured from the inception of idea to the modified software arriving in the user's hands, does it take to roll out a *1 word copy change* in your primary product?
Hiring efficiency:
How long does it take, measured from initial expression of interest through offer of employment signed, for a typical candidate cold inbounding to the company?
What is the *theoretical minimum* for *any* candidate?
How long does it take, as a developer newly hired at the company:
* To get a fully credentialed machine issued to you
* To get a fully functional development environment on that machine which could push code to production immediately
* To solo ship one material quanta of work
How long does it take, from first idea floated to "It's on the Internet", to create a piece of marketing collateral.
(For bonus points: break down by ambitiousness / form factor.)
How many people have to say yes to do something which is clearly worth doing which costs $5,000 / $15,000 / $250,000 and has never been done before.
More from Tech
Some random interesting tidbits:
1) Zuck approves shutting down platform API access for Twitter's when Vine is released #competition

2) Facebook engineered ways to access user's call history w/o alerting users:
Team considered access to call history considered 'high PR risk' but 'growth team will charge ahead'. @Facebook created upgrade path to access data w/o subjecting users to Android permissions dialogue.

3) The above also confirms @kashhill and other's suspicion that call history was used to improve PYMK (People You May Know) suggestions and newsfeed rankings.
4) Docs also shed more light into @dseetharaman's story on @Facebook monitoring users' @Onavo VPN activity to determine what competitors to mimic or acquire in 2013.
https://t.co/PwiRIL3v9x

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These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili
Share for the benefit of everyone.
Here are the setups from @Pathik_Trader Sir first.
1. Open Drive (Intraday Setup explained)
#OpenDrive#intradaySetup
— Pathik (@Pathik_Trader) April 16, 2019
Sharing one high probability trending setup for intraday.
Few conditions needs to be met
1. Opening should be above/below previous day high/low for buy/sell setup.
2. Open=low (for buy)
Open=high (for sell)
(1/n)
Bactesting results of Open Drive
Already explained strategy of #opendrive
— Pathik (@Pathik_Trader) May 27, 2020
Backtested results in 30 stocks and nifty, banknifty.
Success ratio : approx 40-45%
RR average 1:2
Entry as per strategy
Stoploss = Open level
Exit 3:15 PM Or SL
39 months 14 months -ve, 25 +ve
Yearly all 4 years +ve performance. pic.twitter.com/nGqhzMKGVy
2. Two Price Action setups to get good long side trade for intraday.
1. PDC Acts as Support
2. PDH Acts as
So today we will discuss two more price action setups to get good long side trade for intraday.
— Pathik (@Pathik_Trader) June 20, 2020
1. PDC Acts as Support
2. PDH Acts as Support
Example of PDC/PDH Setup given
#nifty
— Pathik (@Pathik_Trader) June 23, 2020
This is how it created long setup by taking support at PDC.
hopefully shared setup on last weekend helped. pic.twitter.com/2mduSUpMn5