Great session with @shefiorg and @Trezor today. Learned how self-custody, wallet security, seed phrase protection, and responsible crypto ownership truly work in practice.
The biggest takeaway: in Web3, security isn’t optional — it’s the foundation.
🚀🔐 #Trezor#Web3
Hot take: open source is a scam.
Not for users BUT for developers.
You build something used by millions.
You get: ⭐ stars, burnout… and $0.
We built Xpack to fix that.
Crypto native monetization baked into npm install.
No Patreon. No sponsors. No chasing donations.
Just money on every single install.
Powered by:
Flow EVM 🌊 + Starknet ⚡
https://t.co/HVm43XOHPU
#PLGenesis @PL__Genesis@protocollabs
Day 22 of my Product Learning Journey 🚀
Discovered @QueryMemory on @ProductHunt.
An API that gives AI agents long-term memory so they can store and retrieve knowledge across workflows.
Did a quick breakdown using the WIN Framework.
#ProductLearning
Day 21 of PM's journey
Being a product manager is 10% vision and 90% managing chaos. AI is finally helping us flip that ratio.
Which one are you using daily?
#ProductManagement#AI#BuildInPublic
Day 20: of I'm a PM. I built a full-stack app this week with zero code.
Not a prototype. A real working React app with an AI extraction pipeline and 3 pages in @claudeai .
https://t.co/J7vsEQOewc
Day 18 : of Product Learning 🔥
Spent Saturday skilling up! 💻 Earned the Gemini for end-to-end SDLC badge. 🚀
The badge is great, but the hands-on labs were the real win—an incredible, practical deep dive into how AI accelerates the entire SDLC cycle.
#GoogleCloud#Gemini#SDLC
Day 1⃣7⃣ : of PM journey
🔥Hot take on Web3:
Stop building products and then hunting for users. Build for industries that already
HAVE users —
Govt., Marketing, Beauty, Entertainment.
Web3 should plug into existing ecosystems, not create confusion.
#Web3#Startups#Products
Day 16—PM Journey 🚀
Talent without a system = chaos.
Success is built on:
Plan. Prepare. Practice. Perform.
Discipline > Talent.
#PM#LearningInPublic
https://t.co/4OSs2UfwQY
Day 15 of learning Product Management 🚀
Today, I published: “Mastering Product Estimation Questions: A Step-by-Step Guide for PM Interview Success.”
Read here:
https://t.co/hDGEVcbQRw
#ProductManagement#PMInterviews#LearningInPublic
Matched with @Tom Blomfield as my Product Soulmate
We both identify as The Focused Experimenter.
Tag them if they’d agree 👀
Who's yours? Take the quiz to find out: https://t.co/7SR6zQpYCR
The PM workflow is getting rebuilt from the protocol layer up and most PMs haven’t noticed.
Linear just added initiatives, milestones, and project updates to their MCP server. Figma shipped MCP. Notion shipped MCP. What’s happening is every tool in the product stack is exposing a write layer to AI agents, and that changes what a PM actually does day to day.
Today a PM spends 30-45 minutes per week writing status updates. They open their project tool, check what shipped, cross-reference the PRD, summarize progress, flag risks. In an MCP-connected workflow, your agent in Cursor or Claude already has the initiative context, the milestone targets, the completed issues. It drafts the update. You review and approve.
That’s one workflow. Now multiply it across every surface: spec writing with Notion MCP, design reviews pulling context from Figma MCP, roadmap updates flowing from Linear MCP. The PM goes from being the person who manually stitches context across 6 tabs to the person who reviews and approves agent-generated artifacts across all of them.
The PMs who understand MCP configurations, who know how to chain tool calls across project management and design and docs, will operate at 3-5x the throughput of PMs who are still copying and pasting between browser tabs. This is the same split that happened when engineers who understood CI/CD pulled away from engineers who deployed manually.
What makes this moment specific: we went from “AI can search your project tool” to “AI can write initiatives, set milestones, post updates, and manage labels.” Read to write. That’s the transition that actually changes job descriptions.
MCP is becoming the connective tissue of product work. The tools are racing to expose their full surface area to agents. The PMs who wire this together first will set the standard for what the role looks like in 18 months.