Documents and notes decision

Readwise

A capable developer can recreate the core highlight import, storage, spaced-repetition daily email, and basic sync/export in ~30 hours and maintain it cheaply, but reproducing Readwise's full connector coverage, polished Reader app, and SaaS reliability is larger and would likely require ongoing investment.

Visit website
You pay

$5.59/mo

$67/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$60/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 12 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Readwise alternatives, with the arithmetic →

What a replacement has to do

  • Import highlights from reading sources, store and index highlights, surface highlights via a spaced-repetition daily email and simple app UI, and sync/export highlights to note-taking tools.

What it still won’t have

  • Polished mobile/desktop Reader app and ongoing feature work
  • All built-in third-party connector coverage and frictionless OAuth flows
  • Polish, analytics, and reliability of a production SaaS (scaling, retries, monitoring)
  • Customer support and account management features

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 12 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted 'Readwise-lite' service using Node.js + Express, Postgres, and React for a minimal web UI. Implement: (1) OAuth/import connectors for Kindle and Instapaper (or file-import fallback) that store highlights in Postgres; (2) a highlights schema with tags, notes, and full-text indexing (Postgres tsvector); (3) a spaced-repetition scheduler that selects N highlights per user/day and records review responses; (4) a daily email worker (SendGrid/Mailgun) that renders the scheduled review set and queues sends; (5) HTTP endpoints and a small React app for search, tagging, and manual export; (6) export jobs to push highlights to Notion/Obsidian (API/file). Out of scope: building a native mobile Reader app, writing many third-party connectors, and training ML models. Include error handling, retries for network jobs, migrations, tests for scheduler and import flows, and Docker-based deployment scripts.
How we checked3 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded