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When Tailwinds Vanish
When Tailwinds Vanish
The Internet in the 2020s
Software companies founded today are competing less with pen and paper than with other Internet-first incumbents. Put another way, as happens in every maturing industry before it, Internet company revenue will become zero-sum. As a corollary, the time between founding years of software startups and their competitive incumbents is shrinking:
When the ecosystem-level diseconomies rival the company-level economies of scale – “first to scale” may become “first to fail”. Unit economics matter more than ever. Carefully measured growth will win.
Relative to the R&D-driven growth of early Internet companies, SG&A will become the primary growth vector in the 2020s.
Paul Graham tweeted that “a visitor who walks around and is impressed by the magnitude of your operation is implicitly saying “Did it really take all these people to make that crappy product?”” But this observation is fixated on a world where R&D dominated Internet startup headcount, and small teams were preferable.
As Alex Danco highlighted in his recent article Debt is Coming, it is clear that recurring revenue securitization – the notion of selling your future ARR bookings at a discount – is the future. The biggest barrier to adoption is cultural: the stigma that “venture debt is like a delicious sandwich that only costs ten cents, but occasionally explodes in your face” is deeply tied to the predatory reputation of old-school venture debt lenders. Companies like Pipe and Clearbanc are already starting to destigmatize securitization, and it will only become more culturally normalized in the coming years.
Once Sand Hill Sachs exists, it will become clear that VC dollars should be reserved for R&D, not S&M or G&A.
For startups taking R&D risk in new technological areas, the founding team may look like something we can’t pattern match to historical successes. Maybe it’s a scientist in his garage who escaped the tendrils of academia. Or your first hire for the founding team is no longer your college roommate, but an expert in your startup’s industry.
There certainly will be $10 billion dollar companies started within segments slow to adopt technology: legal tech, construction, agriculture, and mining are all prime candidates for massive new technology entrants. But new $100 billion dollar outcomes are less likely to come from pure Internet companies.
·luttig.substack.com·
When Tailwinds Vanish
Alex Cohen on Twitter
Alex Cohen on Twitter
Several friends have now quit or been laid off from their jobs at startups and have asked me what to do with their options.Not exercising could mean millions left on the table, exercising could mean liquidating a huge chunk of cash that could go to 0.Here are my thoughts:— Alex Cohen (@anothercohen) October 5, 2022
·twitter.com·
Alex Cohen on Twitter
Daniel Doyon on Twitter
Daniel Doyon on Twitter
My cofounder @homsiT and I are increasingly being asked for advice on how to build a *sustainable* consumer saas business.Let me share some thoughts on the single most important concept we wish we knew before starting @readwise.It's called 📈 CARRYING CAPACITY 📈— Daniel Doyon (@deadly_onion) October 8, 2022
·twitter.com·
Daniel Doyon on Twitter
The rise and fall of the industrial R&D lab - Works in Progress
The rise and fall of the industrial R&D lab - Works in Progress
For a time in recent history, R&D labs seemed to exist in a golden age of innovation and productivity. But this period vanished as swiftly as it came to be. How did it happen, and why did it fade away?
But large vertically integrated companies may have just enough to make it worthwhile, because they can hold on to and use more of the benefits of new discoveries that smaller firms would not be able to capture, even with robust intellectual property protections.
Historical success with labs has involved blends of different expertise, for example the team of physicists, metallurgists, and chemists who developed the transistor at Bell Labs.
Labs, compared to university researchers, also maintain a constant link with delivering value and, ultimately, profitability.
Prof. Arora and collaborators think this return to R&D is driven by fears of a new wave of anti-tech antitrust enforcement: Google and Facebook invest in research because buying it through acquisitions has become more difficult legally. But the case for the opposite is just as strong: they attract antitrust ire because their internal investment has paid off and they have taken huge shares of various markets on the back of it. In this opposite story, a small recent return to R&D labs would come down to the long term effects of the relatively weaker antitrust enforcement seen since the 1980s.
It’s obvious that a scenario where Xerox is paying scientists to do research that ultimately mostly benefits other firms, potentially even competitors that help to put it out of business, could never survive. Similarly, the tension between managing scientists with their own pure research goals in such a way that they produce something commercially viable, while still leaving them enough latitude to make important leaps, seems huge. But these problems were always there in the model.
In the absence of large firm innovations we now have an innovation system where start-ups and small teams, whether private sector or academic, do most early stage innovation. These teams then sell their work to larger ventures, enabled by the patent system, are acquired wholesale, or more rarely scale up, funded by venture capital, to become large businesses themselves.
By 2006, 6% of the awards were going to firms in the Fortune 500. The great majority of these awards are now being won by federal labs, university teams, and spin-offs from academia. The lone inventor is back.
·worksinprogress.co·
The rise and fall of the industrial R&D lab - Works in Progress
Do you know how orgasm is in females? female body and biology
Do you know how orgasm is in females? female body and biology
Biology of Female orgasm 3dmedicalanimation animation video is made and copyrighted_by_Dandelion _Team Fertilization medical animation https://youtu.be/u0y2Wvc0Jm0 We all won this race! https://youtu.be/VYWuySwoqUg What role does sperm structure play in fertilization? https://youtu.be/1YxA6zIvIWw ovulation and menstrual cycle often called the period https://youtu.be/42WIByexiXc The effect of Tied umbilical cord in twins https://youtu.be/vB9ZBnwTfKg High Blood Pressure Hypertension https://youtu.be/gsczOAeGst4 How your body turns food into the poo Human digestion system in human beings https://youtu.be/HXrl37BC3QU food digestion is the story of how your food ends up as a poo 3d medical animation dandelion team https://youtu.be/TPdQKcFuhPI coronary angiogram Micro Needle|3d medical animation|sample use only https://youtu.be/sRGMJhit4h0 heart valve replacement 3d medical animation|sample use only|dandelion team https://youtu.be/9L9i59eY5Zg short videos how long does it take for the body to digest food? https://youtu.be/z6G2L1hY5hc The world of inside a bone https://youtu.be/SWCLK4t0iXo What Part of the Brain Controls Emotions? https://youtu.be/UHTm2aqv-tQ small intestine https://youtu.be/7hweT7wgyF0 copyright by Dandelion Team
·youtube.com·
Do you know how orgasm is in females? female body and biology
The spreadsheet with superpowers
The spreadsheet with superpowers
Combine the power of a spreadsheet with built-in integrations from your business apps. Automate workflows and build tools that make work simpler.
·rows.com·
The spreadsheet with superpowers
SvgPathEditor
SvgPathEditor
Online editor to create and manipulate SVG paths
·yqnn.github.io·
SvgPathEditor
I'm All-In on Server-Side SQLite
I'm All-In on Server-Side SQLite
Ben Johnson has joined Fly.io
As databases evolved, so too did the strategies we use to plug them in to our applications. Almost since Codd, we've divided those apps into tiers. First came the database tier. Later, with memcached and Redis, we got the caching tier. We've got background job tiers and we've got routing tiers and distribution tiers. The tutorials pretend that there are 3 tiers, but we all know it's called "n-tier" because nobody can predict how many tiers we're going to end up with.
If you're careful, using this kind of database can get you a lot of performance. But for general-purpose use, you don't want to run your database off the open headers like a funny car. I thought about the kind of work I'd have to do to make BoltDB viable for more applications, and the conclusion I quickly reached was: that's what SQLite is for.
The most important thing you should understand about Litestream is that it's just SQLite. Your application uses standard SQLite, with whatever your standard SQLite libraries are. We're not parsing your queries or proxying your transactions, or even adding a new library dependency. We're just taking advantage of the journaling and concurrency features SQLite already has, in a tool that runs alongside your application. For the most part, your code can be oblivious to Litestream's existence.
But database optimization has become less important for typical applications. If you have a 1 GB database, an NVMe disk can slurp the whole thing into memory in under a second. As much as I love tuning SQL queries, it's becoming a dying art for most application developers. Even poorly tuned queries can execute in under a second for ordinary databases.
There's a magic number for application latency: responses in 100ms or less feel instantaneous. Snappy applications make happy users. 100ms seems like a lot, but it's easy to carelessly chew it up. The 100ms threshold is so important that people pre-render their pages and post them on CDNs just to reduce latency.
·fly.io·
I'm All-In on Server-Side SQLite
Nadia Asparouhova | Understanding user support systems in open source
Nadia Asparouhova | Understanding user support systems in open source
As a project matures, one of the biggest demands on a software maintainer’s time is user support: not just bug reports or feature requests, but also “How do I?”-type questions. What starts as an occasional question slowly grows to a support queue, and time spent on the project might go from mostly proactive (coding) to mostly reactive (support) work.
·nadia.xyz·
Nadia Asparouhova | Understanding user support systems in open source
The rise and fall of the industrial R&D lab
The rise and fall of the industrial R&D lab
For a time in recent history, R&D labs seemed to exist in a golden age of innovation and productivity. But this period vanished as swiftly as it came to be. How did it happen, and why did it fade away?
·worksinprogress.co·
The rise and fall of the industrial R&D lab
No Revival for the Industrial Research Lab
No Revival for the Industrial Research Lab
Bell Labs is dead. It remains dead. And we have killed it. In fact, even the concept seems to be dead. The top result in Google for Industrial Research Lab is a retrospective history. Pluralize the qu
·applieddivinitystudies.com·
No Revival for the Industrial Research Lab
The case of the spiky file descriptors · Tailscale
The case of the spiky file descriptors · Tailscale
Not all engineering work at Tailscale requires changing Go internals or deep insights into how to leverage the birthday paradox for NAT traversal. There are countless small bugs and edge cases that we investigate in our quest to meet an unreasonably high percentile of our users’ expectations. This is the story of one such investigation.
·tailscale.com·
The case of the spiky file descriptors · Tailscale
New Pioneers of Computing
New Pioneers of Computing
I compile and write dispatches from the frontiers of computing. These include links and summaries of interesting writings, discoveries of new people and projects who are working on the frontier, and updates on my personal work.
·buttondown.email·
New Pioneers of Computing
Brian Feroldi (🧠,📈) on Twitter
Brian Feroldi (🧠,📈) on Twitter
“How to analyze a: ▪️Balance Sheet ▪️Income Statement ▪️Cash Flow Statement In less than 5 minutes:”
·twitter.com·
Brian Feroldi (🧠,📈) on Twitter
Crosscut: Drawing Dynamic Models
Crosscut: Drawing Dynamic Models
Uniting the directness of pen & paper with the dynamism of software.
·inkandswitch.com·
Crosscut: Drawing Dynamic Models
End-user Programming
End-user Programming
A vision for empowered computing that reaches back forty years. Our research lab examines why it has been so hard to achieve.
·inkandswitch.com·
End-user Programming
Sync // Metamuse podcast episode 56
Sync // Metamuse podcast episode 56
The foundational technology for Muse 2 is local-first sync, which draws from over a decade of computer science research on CRDTs. Mark, Adam Wiggins, and Adam Wulf get technical to describe the Muse sync technology architecture in detail. Topics include the difference between transactional, blob, and ephemeral data; the “atoms” concept inspired by Datomic; Protocol Buffers; and the user’s data as a bag of edits. Plus: why sync is a powerful substrate for end-user programming.
·museapp.com·
Sync // Metamuse podcast episode 56
Have you tried rubbing a database on it?
Have you tried rubbing a database on it?
HYTRADBOI is about turning a data-centric lens onto familar problems to yield strange new solutions (and maybe exciting new problems). Talks range from wild ideas and unlikely experiments to cutting-edge research and production war stories. The day will alternate between blocks of back-to-back 10-minute prerecorded talks, followed by time to chat and ask questions.
·hytradboi.com·
Have you tried rubbing a database on it?
Why David Yach Loves Go | Google Cloud Blog
Why David Yach Loves Go | Google Cloud Blog
Learn all the reasons David Yach, industry veteran and Director of Engineering at Google Cloud, loves to use Go for software development.
·cloud.google.com·
Why David Yach Loves Go | Google Cloud Blog