19 chunks · 18 episodes
At the early stage of a game-changing company, everyone who joins the team must be on the bus. They must believe fundamentally in the goal and vision. If you're trying ...
A lot of best practices in large organizations are anti-patterns in early stage pre-PMF teams. Best practices for large, post-PMF orgs are about structure, communication, and bookkeeping. In a small team that is iterating tightly...
... resources to catch up and surpass the entity whose tail lights you're chasing. Early stage all you have is being first.
...ees on "true value," but they converge on a price that allows exchange. Private/early stage: wide variance, high friction leads to price is what the most motivated pair agrees to. Public markets: millions of participants leads to prices conv...
...vious from momentum), or in research systems (convergence isn't that important) Early stage product work is highly interdependent at the very least until the moment of PMF.
In the late stage the power dynamics don't change. Let's hope we're in the early stage of the AI era.
...idn't figure out the participatory architecture yet, which is necessary for the early stage of new technologies!
... shows up if you try to capture the real world with top down rules. At the very early stages, you get a high amount of value for a small amount of effort, and everything seems to be going great. But unbeknownst to you, you are locked into a ...
In uncertainty (like in the early stages of a disruptive paradigm) people cling to legibility, not importance. An example of the streetlight fallacy–the drunks looking for keys not where th...
...hat we have a disruptive technology bursting onto the scene. The birth of a new early stage where we can put the tech to humanistic ends.
...back. Stuck on an alternate branch of history. This dynamic only happens in the early stage of a paradigm, not the late stage.
...s. Things that would exist even if you personally stopped working on it. But in early stage, pre-coherence contexts, you can't take any structure for granted. You have to create it.
... encode vastly more information than we know how to retrieve. We're in the very early stages of figuring out how to wring out all of the information they encode. Getting great results out of LLMs is entirely the domain of folk knowledge, wit...
...overy, not monoculture and centralization. Systems have different stages In the early stage it will be more about hill-finding and novelty generating. In the late stage it will be more about hill-climbing, centralization, optimization.
...xisting dots. It's much harder to imagine the balancing loop, especially at the early stages of the s-curve where the balancing loop isn't yet powerful. Another reason it's hard to imagine a balancing loop is the balancing loop is often not ...
When building an early stage product the single most important thing is to constantly be talking to customers. An open ecosystem allows you to be constantly talking to users in t...
...ans embedded throughout it is way more resilient than one that does not. At the early stages of AI-based experiences, we'll want humans in the system, tinkering, tweaking, responding, interacting.
With an early stage technology that has promising but uneven quality, you have to design the UI to be a good enough experience for the worst case, not an exceptional exp...
...hallenging thing together and accomplish something everyone agrees is valuable. Early stage startups get this basically for free--everyone needs to participate, and the reward is the company living another day. This means that at early stage...