Turn saved moments into structured understanding.
A HODL saves where you were. Canvas helps you connect why it matters. Arrange, annotate, and share your held work as a decision board, study pack, or compare board.
Deep Work lecture — 14:32 / 58:01
Attention Is All You Need — p.6
Re-watch 14:32 — compare attention mechanism to paper, p.6
- □ Implement attention from scratch
- ✓ Read illustrated transformer
- □ Draft practice derivation
karpathy/nanoGPT — train.py:142
// ILLUSTRATION · a study Canvas — HODLs from YouTube, arxiv, GitHub, plus a note and checklist.
// WHAT’S ON A CANVAS
Five objects. Nothing else.
Canvas is not a whiteboard. It’s a structured assembly layer for held work.
HODL Card
Saved context — tabs, scroll, video, notes. One-click resume from the board.
Note Card
Short text, bullets, lightweight markdown. The glue between HODLs.
Section Header
Group HODLs by theme, priority, or decision phase.
Connector Line
Supports, contradicts, compare, next. Make reasoning visible.
Checklist
Decision criteria, todos, open questions — anchored to sources.
Same surface. Four modes.
Vendor comparison
Hold each vendor’s research session. Drop them on a Canvas with Risks, Open Questions, and Recommendation sections.
Midterm prep
Lecture timestamps, readings, notes, practice problems — one resumable, shareable board per class.
Research passdown
Hand your strategist’s work to the next teammate with full reasoning — not just links.
Shopping / procurement
Product pages, carts, and notes held with price snapshots. Share with a partner to decide together.
Get Canvas when it ships.
Install UNIHODL now to start capturing. Canvas unlocks for early users first.
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