ppl/acc - saas unicorn founder - building portable, infinite, private memory for ai agents and humans - also wrote a bestseller (not tech)backboard.io San Francisco, CAJoined November 2024
Spent the week refining the token-use dashboard for our backboard io. Still messy(ish), but this early version is helping us test how people interact with it.
Thoughts? Opinions?
(if u want early access there's waitlist as well)
AI will reflect and amplify your intentions. If you want to be lazy and do less, it’ll help. If you want to learn and improve your critical thinking, it’ll help. If you want to solve bigger problems and push society forward, it’ll help.
This benefit will extend to solving the persistent challenge of passing on tacit/tribal company knowledge as staff turns over. As the agents learn and stores the learnings from the knowledge worker and executed tasks, on-boarding the next worker will require less of this…
This benefit will extend to solving the persistent challenge of passing on tacit/tribal company knowledge as staff turns over. As the agents learn and stores the learnings from the knowledge worker and executed tasks, on-boarding the next worker will require less of this…
For the devs here who use OpenRouter or LangChain: if you could design the ideal API layer for working with multiple LLMs, what would it include? What features are you constantly wishing existed ie. stateful (thread and RAG management) memory, routing, privacy, RAG, MCP access,…
Google and its products have been mostly excellent and they’re getting back to executing delivery better again.
Nano Banana was well done while simultaneously shooting at Adobe.
When we were growing Assent (an Ottawa-based SaaS Unicorn), I had to grow the dev team from 1 to 30 to 300 which then included layers of product management, QA, planning and some superfluous teams.
I’m back at it at a new start up from scratch and I’m testing all the tools I…
Agents running concurrently is an incredibly powerful approach and adding memory to them individually and collectively might be the next step to recursive self learning. We’re still so early.
Agents running concurrently is an incredibly powerful approach and adding memory to them individually and collectively might be the next step to recursive self learning. We’re still so early.
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