Health, home and travel decision

Spool - Save your Thread

A competent technical user can implement the core blocking, prompt, storage, and simple LLM insights, but reproducing the polished iOS UX, App Store presence, retention mechanics, and ongoing platform-specific blocking reliability is a multi-week effort and partially covered only by Android prior art.

View on the App Store
You pay

$7.99/mo

$96/yr

Read off the official pricing page.

You’d pay instead

$100one-off138 h to build

$25/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 5 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 Spool - Save your Thread alternatives, with the arithmetic →

What a replacement has to do

  • User tries to open a blocked app -> app intercepts and shows a prompt to type/justify -> record the excuse and send to backend -> evaluate patterns and deliver insights/recommendations -> enforce blocking rules/schedules

What it still won’t have

  • App Store brand, ratings, and existing userbase
  • Polish: onboarding, retention mechanisms, and ongoing UX refinements
  • Built-in reviews, existing changelog and platform-specific bug fixes already addressed by the vendor

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 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

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 minimal iOS replacement using SwiftUI + Combine and a small backend. Stack: SwiftUI iOS app (requires iOS 17+), use DeviceActivity/FamilyControls for blocking, Node.js + Supabase (Postgres) for backend, and OpenAI-compatible API for LLM tasks. Core features in scope: enforce app blocking and schedules via DeviceActivity; justify-before-open prompt that records text attempts to backend; per-user analytics page showing attempt counts and simple timeframe heatmaps; monthly subscription via StoreKit with receipt validation; server-side job to run simple NLP classification/duplicate-detection on excuses and produce daily insight summaries. Out of scope: cross-platform support (Android/Mac), advanced behavioral-research models, large-scale analytics pipeline. Include error handling, StoreKit edge cases, automated tests for critical flows, and CI deployment guides for the backend.
How we checked2 sources · 3/3 runs agreed · evidence score 65

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 2 cited sources+1
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score65

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 · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded