Models inherently lack a business model so they need to find one. They have monster cap tables and firepower but lack a durable core revenue engine. This leads them to go up and down the stack - cloud, api, coding, chips, devices, ad revenue, etc. -are all on the table. This is why you see them fighting with their own ecosystems and partners. Till ModelCo's find stable business models, the wars will continue. No one is safe.
NVIDIA was a small cap in 2016. Netflix was a small cap in 2016.
Intel was the leader. Comcast was the leader.
Yes Google and Apple have done great but its because they have made some good strategic decisions. And some (not all) of their failures of last 10 years fall sqaurely in stack fallacy.
Yes, when I wrote this article - I was pointing out that we seem to have missed this rather common pattern. And if you understand this pattern you can avoid some strategy mistakes.
I didn't claim that this one pattern explains all of the failures.
exactly. it took longer for Apple to fix its Maps app - and to this day their email app is nowhere as good as most third party apps. Even iMessage is lacking features that WhatsApp and Signal built 5 years ago. (And iMessage is clearly their best app.)
this whole thread is hilarious and yet quite insightful.
Yes, the core idea behind Stack Fallacy was that if you are Apple you don't need to build a better CPU than Intel for all workloads - you just need M3 for your Mac.
So yes - just one type of bread. Like Subway. Or Panera.
I am founder & CEO of Skyflow PII data privacy vault. We are vaguely similar but our product line is focused on offering "PII database as a service" - and not really relays and cages. Happy to answer any questions.
To answer your question: "market for encrypting data" is infinite but in reality that's not really a market since encryption is a concept and not really a product.
The markets that do exist are:
* GDPR & CCPA compliance (think OneTrust)
* Data Residency (think Cloudflare)
* Data Security as a Service (think Okta/Auth0)
* Customer Data Management (think CRM)
How do you build a business in the shadow of AWS, GCP, and Azure as a startup? How do you find the white spaces? What areas have they over/under invested in? What other startups are doing in those spaces?
Greylock spent months investigating and mapping these out. If you are a founder in infra/cloud, you want to understand the lay of the land.
I will happily pay $30/month for Mighty. The browser is literally where I spent 100% of my time. The pattern of hosted/virtualized browsers is well understood for over a decade but mostly built and delivered poorly for the low end of the market. I love this idea, and I am happy Suhail is building this. (I am not an investor or a customer, yet.)