As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
Wow, this tweet went very viral!
I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.
So here's the idea in a gist format: https://t.co/NlAfEJjtJV
You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.
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Perplexity Comet is scary GOOD.
This agentic browser connects to your apps and does everything you want autonomously.
10 powerful use cases👇:
1. Summarize and provide me all the links of this video
This basically replaces all SaaS marketplaces like G2 or Capterra as you can feed all the data into your Claude or Cursor. Your LLM then becomes your advisor.
🔗 https://t.co/GHgaQuFlSB
If our HumanX recaps gave you FOMO, never fear: We're getting the gang back together for a free afternoon of AI leadership workshops on April 3. Don't get FOMO twice! Join us next Thursday and leave an AI leader: https://t.co/hP2tkkgvYd
1) “Moats” are a term thrown around a lot in startup circles
In reality, companies don’t build moats, they build "CAPABILITIES" that yield them
We’ve created a simplified, but exhaustive framework for capabilities that create company defining moats
https://t.co/f1YESxshUk
When you change your goal from “achievement” to “who you become while pursuing achievement,” you switch from winning every ten years to winning everyday.
📣 With so many choices of AI models out there, learn from @daviddbwilson on how to navigate the best ones for your use case.
🎬 Watch - https://t.co/oBdaBADnN4
🔉 Listen - https://t.co/Ujkk9FcNja
👉 Try - https://t.co/VdpEcR324d
⚡ Join a fireside chat with John Gauntt, creative director of the Seattle AI Film Festival, about the future of filmmaking with AI on March 6th 🎙️
Come early for happy hour and to connect with the AI film community and festival organizers!
https://t.co/x047Ht00HQ
The vision of Contrary Research is to build THE best place to understand any private tech company.
Today, we're excited to announce a higher quality search experience so you can find not just the companies you're interested in but the topics within our reports as well.
Enjoy!