Developer tools decision

Capgo

Because an official open-source updater exists and docs describe self-hosting, a technical user can self-host a functional replacement; the main hosted advantages are global CDN, SLA, and enterprise support which are feasible but operationally heavier to replicate.

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Subscription$14/month ✓ verified
Initial build6 hours
Monthly upkeep6 hours + $50
Evidence1/1 runs agree

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 Capgo alternatives, with the arithmetic →

What a replacement has to do

  • Accept web bundle uploads, store signed bundles, serve differential updates via CDN, client plugin checks and applies update on next launch, track per-device logs and rollout health, allow channel-based rollouts and rollbacks.

What it still won’t have

  • Global multi-region edge network and triple-provider resilience
  • Managed 99.9% uptime SLA and enterprise support
  • Built-in Observe analytics and device log UI
  • Bundled native build machines and included build hours
  • SOC 2 compliance attestation and hosted security guarantees

What remains hard

  • Infrastructure at scalePowered by serverless edge computing and distributed databases across 300+ cities and 13,000+ networks for ultra-fast global delivery.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 4 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 self-hosted Capgo-compatible live-update service by forking https://github.com/Cap-go/capacitor-updater, deploy the server as a Docker service on a small cloud VM (Ubuntu), use PostgreSQL for metadata and S3-compatible object storage for bundles, put a CDN (Cloudflare or AWS CloudFront) in front of bundle storage, expose the same REST endpoints the official CLI/plugin expects, implement channel/rollout logic, delta manifest generation, signed bundle validation, and a minimal web UI to publish bundles, inspect device logs, and trigger rollbacks. Out of scope: building a hosted global edge network, enterprise SLAs, and a full analytics product. Include error handling, authentication for the publishing API, CI/CD for the server, and automated tests for upload/download, signature verification, and rollout percentage logic.
How we checked3 sources · 1/1 runs agreed · evidence score 99

How the score was reached

  • Self-host verdict base92
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 1/1 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score99

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✓ 1 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page