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Drop your content
Paste an arXiv / YouTube URL, upload a PDF, or paste raw text. We handle every format.
AI reads it, deeply
Page-by-page analysis extracts real insights — equations, figures, key findings — nothing generic.
Scroll your snips
Each page becomes 2–5 bite-sized cards you can scroll in seconds. Equations are interactive.
Same shape, every time.
Every card has the same structure so your eye learns exactly where to land.
Attention is a soft lookup table
Each token writes a query; every other token writes a key. The dot product asks how relevant each is — softmax turns scores into weights, then we mix the values. It's a learned, differentiable hash map.
Like asking the room a question and everyone votes how relevant they are. Loud voters drown out the quiet — so we whisper everyone down by √d_k first.
- 1
Subject tag, always top-left
Colored dot per topic so you know the domain at a glance.
- 2
Title — punchy, ≤ 6 words
Set bold. If it can't fit in six words, it's two cards.
- 3
Body — three sentences, one highlight
Plain English. One key term gets a canary wash so the takeaway is unmissable.
- 4
Equation block, only when there is one
Monospace, dark, canary left border — and draggable variable sliders below.
- 5
Analogy, every single card
Amber-trimmed. The thing that makes the concept stick tomorrow.
A reading habit, not a one-shot tool.
Equation sliders
Every variable in every formula becomes a draggable slider. Watch the result update live. An LLM tells you what each knob means in context.
Learning activity
Every snip you read is a bright square. Build a streak. See your knowledge compound day by day — like a contribution graph for your brain.
Figure extraction
arXiv diagrams, matplotlib plots, and TikZ figures are automatically extracted and explained — rendered alongside the snip from that exact page.
Questions, mostly anticipated.
Read smarter.
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