The day KOSPI jumped 17%, my indicator flashed buy too
As KOSPI and KOSDAQ rebounded violently and SK hynix hit its upper limit, I reconsidered the meaning and limits of a signal I originally built for crypto.
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As KOSPI and KOSDAQ rebounded violently and SK hynix hit its upper limit, I reconsidered the meaning and limits of a signal I originally built for crypto.
AI transparency codes, team-level model policies, npm token restrictions, and agent secret scanning made me value replaceable, stoppable operations over another new feature.
We began raising a rhinoceros beetle: first came the supplies, then two delighted children, a startled wife, and Coco showing absolutely no interest.
While imagining Haru Space after launch, I reflect on the burden left with a smaller team, the limits of handover, and how to make response faster without relying on sacrifice.
Heat alerts, AI transparency rules, an uneven global outlook, and dementia guidance all reminded me that risk and uncertainty must be visible before people can choose.
I still feel short on design and technical skill, but years of broken records, doubt about the AI era, and a new ability to build led me to start Haru Space.
After reading about agents, isolated environments, code review, and a sharp market selloff, I kept coming back to the structure that divides work and verifies it.
Why I began building Haru Space as a place where trusted people can shape ideas together, and what I plan to record along the way.
I am restarting the investment notes and automated-trading experiments I kept postponing, using AI to help turn a long-standing interest into a practical routine.
I am beginning a personal record of things I use, restaurants worth revisiting, fishing I rarely have time for, and places I want to remember.
I am beginning a record of raising two very different children, caring for fourteen-year-old Coco's health, and preserving our ordinary days together.
A practical way to turn a vague idea into a small, testable outcome while keeping people responsible for the decisions.
Move beyond an archive of outputs by preserving the reasons, lessons, and publishing decisions that can improve the next collaboration.
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