nudge_
the 300-day compact
300 days. 30 sub-milestones of 10 days each. Ends mid-December 2026 — end of fall semester. One artifact per period keeps you on track. Two puts you ahead. The backend tracks it — no self-reporting, no lying to yourself.
Artifact totals include all content files — builds (b), notes (n), roadmaps (r), code (c), research area docs (a). Any .md in content/ counts.
phases — 6 × 50 days
days 1–50
Foundation
5 artifacts
Get the system working. Any topic, any muscle. Prove the habit exists.
days 51–100
Depth
6 artifacts
Pick 2 muscles to double down on. Start showing a voice. Narrow the focus.
days 101–150
Velocity
8 artifacts
Increase cadence. Ship one showcase item. Reduce the friction between idea and artifact.
days 151–200
Integration
8 artifacts
Cross-muscle synthesis. External contributions count. Connect ideas across territories.
days 201–250
Specialization
10 artifacts
Go deep on frontier topics. Replicate papers. Show you can do original work.
days 251–300
Mastery proof
12 artifacts
End-of-semester push. Research-quality artifacts. The GitHub history speaks for itself.
targets are minimums — the floor, not the ceiling.
the rules
— never go dark > 7 days
Seven days of silence and the habit starts to dissolve. Any artifact breaks the streak.
— 1 per 10-day period = on track
One published artifact per sub-milestone is the minimum viable cadence. Two is ahead.
— showcase is the escape hatch
Stuck? Ship a single-file implementation. It counts. It moves a muscle. It keeps the clock running.
— quality > quantity, but quantity proves consistency
A 300-line notebook entry beats nothing. The heatmap is honest — it doesn't care about excuses.
— smallest valid artifact still moves a muscle
Can't finish the big thing? Publish the proof-of-concept. Name the muscle it trains. Move on.
— research 50%, engineering 50%
Every phase should touch both sides. Pure reading is studying. Pure coding is rote. Both together is how cracked researchers are built.
what counts as an artifact
build
primary artifactA published research artifact — experiment, analysis, literature review, implemented paper, system write-up.
showcase
engineering signalA single-file implementation — CleanRL-style, annotated, self-contained. Proves you can code, not just describe.
notebook entry
teacher hatA focused note — concept explained, paper summarized, mental model sharpened. Teaching mode.
external
external signalA PR, paper review, OSS contribution, or public comment that can be linked. Proof of engagement with real work.
how to stay ahead
01.batch easy wins: if one topic yields 3 artifacts, take them all — bank the buffer.
02.end every 10-day window with a named artifact, even if it's a one-pager.
03.alternate hats: don't stay in Researcher mode all quarter — an Author or Hacker build costs less.
04.pre-commit: at day 7 of a period with nothing, write the stub. publish the stub. refine later.
05.external counts: review a paper publicly. comment on a repo issue. it still moves the needle.
research area coverage
Representation Learning
no builds yet
0
activeContinual Learning
no builds yet
0
activeWorld Models
1 build
1
activeReinforcement Learning
1 build
1
activeCausality & Tabular Foundation Modeling
no builds yet
0
activeMultimodal AI
no builds yet
0
activebuilds are counted from the matching territory tag — update your build frontmatter to see counts here.
live status
nudge_
last artifact
32d ago
artifacts logged
14
7 pub · 7 draft
b:1 · n:5 · r:1 · c:0 · a:0
pace
3.0 / 10d
on track for
~89 by Dec 2026
streak
0d
best 2d
day 47 / 300·sub-milestone 5 / 30
day by day tracker (last 30 days)
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