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.

Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.
Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")

Charge more. Charge more still. Go on.
The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.
Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.
The hardest problem in B2C is distribution. The hardest problem in B2B is sales. AppAmaGooBookSoft are AppAmaGooBookSoft primarily because they have mortal locks on distribution.
Everyone in Silicon Valley uses equity, and not debt, to fuel their growth because debt is not available in sufficient quantities to poorly capitalized companies without a strong history of adequate cash flows to service debt.
Investors in venture-back companies are purchasing a product. It is critically important to understand that that product is growth. The reason tech is favored as an asset class that it appears to be one of few sources of growth available on the market at the moment at any price.
The explosive growth of the tech sector keeps average age down and depresses average wages. Compared to industries which existed in materially the same form in 1970, we have a stupidly compressed experience spectrum: 5+ years rounds to "senior." This is not a joke.
The tech industry is fundamentally unserious about how it recruits, hires, and retains candidates. About which I have a lot more to say than could fit in a tweet, but, a good thing to know.
If you are attempting to hire for an engineering position, greater than 50% of people who apply for the job and whose resume you select as "facially plausible" will be entirely unable to program, at all. The search term for learning more about this is FizzBuzz.
Software companies in B2B which aspire to growing quickly will eventually spend more on sales and marketing than they do on engineering. You can read S-1s of successful IPOs and calculate the ratio; it is sometimes 2X++.
The chief products of the tech industry are (in B2C) developing new habits among consumers and (in B2B) taking a business process which exists in many places and markedly decreasing the total cost of people required to implement it.
There is no hidden reserve of smart people who know what they're doing, anywhere. Not in government, not in science, not in tech, not at AppAmaGooBookSoft, nowhere. The world exists in the same glorious imperfection that it presents with.
Significant advances shipped by the tech industry in the last 20 years include putting the majority of human knowledge in the hands of 40%++ of the world's population, available on-demand, for "coffee money" not "university money."
Weak-form efficients market hypothesis is a good heuristic for evaluating the public markets but a really, really bad heuristic for evaluating either technical or economic facts about tech companies, startups, your career, etc etc. Optimizations are possible; fruit hangs low.
Startups are (by necessity) filled with generalists; big companies are filled with specialists. People underestimate how effective a generalist can be at things which are done by specialists. People underestimate how deep specialties can run. These are simultaneously true.
Most open source software is written by programmers who are full-time employed by companies which directly consume the software, at the explicit or implicit blessing of their employers. It is not charity work, any more than they charitably file taxes.
The amount of money flowing through capitalism would astound you. The number and variety of firms participating in the economy would astound you.

We don't see most of it every day for the same reason abstractions protect us from having to care about metallurgy while programming.
CS programs have, in the main, not decided that the primary path to becoming a programmer should involve doing material actual programming. There are some exceptions: Waterloo, for example. This is the point where I joke "That's an exhaustive list" but not sure that a joke.
Technical literacy in the broader population can be approximated with the Thanksgiving test: what sort of questions do you get at Thanksgiving? That's the ambient level of literacy.

Serious people in positions of power eat Thanksgiving dinners, too. Guess what they ask at them.
Salaries in the tech industry are up *a lot* in the last few years, caused by: a tight labor market, collapse of a cartel organized against the interests of workers, increasing returns to scale at AppAmaGooBookSoft, and the like.

Investor money *does not* pay most salaries.
This concludes, for the moment, an off-the-cuff list of things which would otherwise be too obvious to bring up in conversation.

Meta thought: you radically underestimate both a) how much you know that other people do not and b) the instrumental benefits to you of publishing it.

More from Patrick McKenzie

So the cryptocurrency industry has basically two products, one which is relatively benign and doesn't have product market fit, and one which is malignant and does. The industry has a weird superposition of understanding this fact and (strategically?) not understanding it.


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.

More from Tech

The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.


This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/


A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/

https://t.co/uAORIJ5BYX 4/

https://t.co/yOGZ0pLfHG 5/
Next.js has taken the web dev world by storm

It’s the @reactjs framework devs rave about praising its power, flexibility, and dev experience

Don't feel like you're missing out!

Here's everything you need to know in 10 tweets

Let’s dive in 🧵


Next.js is a @reactjs framework from @vercel

It couples a great dev experience with an opinionated feature set to make it easy to spin up new performant, dynamic web apps

It's used by many high-profile teams like @hulu, @apple, @Nike, & more

https://t.co/whCdm5ytuk


@vercel @hulu @Apple @Nike The team at @vercel, formerly Zeit, originally and launched v1 of the framework on Oct 26, 2016 in the pursuit of universal JavaScript apps

Since then, the team & community has grown expotentially, including contributions from giants like @Google

https://t.co/xPPTOtHoKW


@vercel @hulu @Apple @Nike @Google In the #jamstack world, Next.js pulled a hefty 58.6% share of framework adoption in 2020

Compared to other popular @reactjs frameworks like Gatsby, which pulled in 12%

*The Next.js stats likely include some SSR, arguably not Jamstack

https://t.co/acNawfcM4z


@vercel @hulu @Apple @Nike @Google The easiest way to get started with a new Next.js app is with Create Next App

Simply run:

yarn create next-app

or

npx create-next-app

You can even start from a git-based template with the -e flag

yarn create next-app -e https://t.co/JMQ87gi1ue

https://t.co/rwKhp7zlys

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