The promise

Three months.
Every year.
Returned.

Palimpsa is the academic operating system. Every claim traceable. Every paper monitored. Every idea dated. Every analysis reproducible. The system that gives you a quarter of your year back — provably, measurably, on a maxed-out account.

How we get to three months

Motion's headline is the 13th month — one extra month per year for knowledge workers. Researchers lose a far higher fraction of their year to non-research work: re-reading papers they've forgotten, re-formatting citations between journals, fact-checking their own draft, rebuilding analyses whose code went missing, addressing desk-rejects on issues that were always catchable. We can credibly promise three months a year because the surface area of waste is that much bigger.

The contract: each row below is a feature, not a vibe. If the feature ships and you use it, the hours come back.

Source of returned timeTierActive user (h/yr)Heavy user (h/yr)
Re-reading papers you've forgotten — answered by semantic memory360120
Citation format / existence / freshness — automated by heuristics23060
"What did I read about X" — answered without re-reading34080
Daily arXiv triage — pre-scored relevance digest560100
Retraction-flagging — eliminates panic-edit cycle5520
"Did I already answer this?" — answered without re-reading the draft43060
Lit-review completeness — caught before submission, not after R242040
Pre-submission audits eliminate ~1 desk-reject cycle/year980160
Reproducibility receipts eliminate rebuild-the-analysis episodes1060120
Defensibility ledger eliminates "I had it first" disputes11530
Total~390 h~790 h

A research-active academic year is ~1,800 productive hours. 390 hours = 2.4 months back for an active user; 790 hours = 4.9 months for a heavy user. The promise rounds the honest middle.

Why this compounds

ChatGPT and Claude.ai are conversations with a brilliant amnesiac stranger. Every prompt starts cold. Palimpsa is different in kind: every feature is grounded in your reading list, your drafts, your supervisor's pinned comments, your experiments. Year 2 saves more than year 1, because the memory is bigger. Year 5 saves more than year 2.

The user who adopts Palimpsa builds a moat against the user who doesn't.

What we will not promise

  • Faster writing — we don't write. AI is a critic, never a writer.
  • Better grades or more citations — that's your work.
  • AI does it for you — you will always do the writing.
  • A specific paper count — confounded by field, supervisor, luck.

The promise is time returned, because that's what the system actually delivers and what the user actually loses.

Start writing