Taking Stock of the Seed Stage
The total stock of seed-stage startups appears to be shrinking, despite the AI funding boom.
Thoughts on technology, venture capital, and the economics of both
The total stock of seed-stage startups appears to be shrinking, despite the AI funding boom.
Open source LLMs are 90% cheaper than closed source models, yet they capture less than 30% of token share
It’s not obvious what drives them
We should take AI models seriously, which means taking their evaluation seriously
Capital deployment remains depressed, sitting about 50% below trend
Investors have lost faith in Series A as a sign of product-market fit. In other words, they expect more but believe less.
Monitoring that even (Franz) Kafka would approve of
Measuring the state of the venture "business cycle"
Valuations are 60% too high relative to the volume of venture funding
It's Jay Powell's world. We're just living in it.
Where did the explosive growth in venture activity come from?
Private valuations substantially lag public tech valuations
Venture funding hasn't grown as much as you think
Revenue surprises permanently shift the trajectory of SaaS companies
Hiring freezes matter more than layoffs
COVID put software companies on a permanently lower growth trajectory.
Exploring the vast "dark matter" of the software universe
Low monetization requires extraordinary traction, and vice versa.
A frothy funding environment means more competition for talent. Funding gets easier; hiring gets harder.
Rules are meant to be broken, and the Rule of 40 is no exception
Preferred equity exists in a constant state of quantum superposition. It's neither equity nor debt, until it is.
ACV isn't as useful a concept as people think. We need a different SaaS monetization metric.
Companies don't catch up to their valuations; their valuations catch up to them.
Rather than ship data to code, which is expensive and latency-prone, why not ship code to the data?
In startup land, we talk way too much about relative growth. We'd do better to ground our thinking in absolute growth.
The super-rich earn more on their investments than the rest of us. Something nefarious, or something else?
The burden of scientific knowledge and managerial complexity is crushing our best and brightest.
Why you shouldn’t filter for social media following or prior experience
Quantifying the billion dollar impact of developer inefficiency
Adding more cooks to the kitchen rarely helps
Developer productivity is falling. But it doesn't have to. The solution? The Developer Productivity Flywheel
The biggest challenges facing developer productivity startups today
Robinhood traders get fleeced not by HFTs front-running milliseconds before their order hits but by other retail investors, days earlier.
Why Vectorized's focus on developer experience will unlock real-time streaming for the great majority of developers
Magic number is a bad metric. Sales and marketing drives much less revenue than this not-so-magical number implies
The longer you search for product-market fit, the less likely you will find it.
Developers are dropping out of the profession in large numbers
In enterprise software, averages are meaningless. Instead, focus on the tails.
Large Transformer trained on large datasets outperform CNN-based architectures and achieve state of the art results on image recognition tasks
Transformer model pre-trained on document retrieval and reconstruction performs well on both fine-tuned and zero-shot downstream tasks
What's top of mind for developer productivity leaders
We interviewed developer productivity leaders. Here's what they said.
VCs are picky, not because they have so many options but because they have so few.
You might think the value of a college degree has been increasing. You would be wrong.
Do college-educated developers earn more? Yes, but less than you might think
How the virus rocked stocks
When to raise capital, what to expect from VCs, and the "new normal"
Working remote even just a few days per month leads to higher pay
Progress on narrowing pay gaps among software developers
Engineers are the basic economic unit of modern software development. The software production function depends critically on developer productivity and compensation. And yet software engineering pay remains poorly understood.