Filter the archive by the labels we put on each post.
· XingAI Invest AI
A draft "Daily Stock Market Intelligence" stack looked like a new FastAPI + Alembic + Next app. Invest AI already had Resend digests, report triggers, macro radar, and a reports…
· XingAI Invest AI
A dense Chinese A4 PDF framed around a $200K FI portfolio looks like a new product. New domain. New worker. New Resend project. Maybe a cute investment-report.xingai.app.
· Research AI
Cache miss means queue + worker. Users wait. A spinner alone feels broken; streaming half a verdict would lie.
· Research AI
We did not invent a new cache story for Research AI. We copied Invest AI’s one writer, many readers SQLite pattern and renamed the keys.
· Research AI
We found a bad pattern in Research AI: some UI blocks looked factual but were not backed by original sources.
· Research AI
After you type a topic, Research AI returns a verdict and a 0–100 Learning ROI score. Both come from the same worker run — not from the browser guessing.
· Research AI
Research AI reuses the Invest AI deployment shape:
· Research AI
Research AI answers a different question than Google:
· XingAI Invest AI
An investment dashboard is useful when the user opens it. A morning decision brief needs to arrive before the user asks.
· XingAI Invest AI
The most important Invest AI architecture rule is simple:
· XingAI Invest AI
This post documents a decision we accepted, not something already running in production. It belongs in the same story as our CQRS market cache: derived data should have one writer.
· XingAI Invest AI
Market dashboards want fresh data. Upstream APIs want low call volume. Users want sub-200ms first paint.
Filter the archive by the labels we put on each post.
· XingAI Invest AI
A draft "Daily Stock Market Intelligence" stack looked like a new FastAPI + Alembic + Next app. Invest AI already had Resend digests, report triggers, macro radar, and a reports…
· XingAI Invest AI
A dense Chinese A4 PDF framed around a $200K FI portfolio looks like a new product. New domain. New worker. New Resend project. Maybe a cute investment-report.xingai.app.
· Research AI
Cache miss means queue + worker. Users wait. A spinner alone feels broken; streaming half a verdict would lie.
· Research AI
We did not invent a new cache story for Research AI. We copied Invest AI’s one writer, many readers SQLite pattern and renamed the keys.
· Research AI
We found a bad pattern in Research AI: some UI blocks looked factual but were not backed by original sources.
· Research AI
After you type a topic, Research AI returns a verdict and a 0–100 Learning ROI score. Both come from the same worker run — not from the browser guessing.
· Research AI
Research AI reuses the Invest AI deployment shape:
· Research AI
Research AI answers a different question than Google:
· XingAI Invest AI
An investment dashboard is useful when the user opens it. A morning decision brief needs to arrive before the user asks.
· XingAI Invest AI
The most important Invest AI architecture rule is simple:
· XingAI Invest AI
This post documents a decision we accepted, not something already running in production. It belongs in the same story as our CQRS market cache: derived data should have one writer.
· XingAI Invest AI
Market dashboards want fresh data. Upstream APIs want low call volume. Users want sub-200ms first paint.