Project and task management decision

Microsoft 365 Personal

Do not rebuild: a small team could implement basic storage and an editor, but Microsoft's durable advantages (global infra and brand, plus proprietary Copilot integration) provide most of the product's value and are impractical to replicate.

Visit website
Subscription$9.99/month
Initial build80 hours
Monthly upkeep20 hours + $100
Evidence2/3 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.

What a replacement has to do

  • Provide user auth, store and serve personal documents in cloud storage, edit/view documents in a web editor, and surface AI assistant suggestions inside the editor.

What it still won’t have

  • Microsoft’s proprietary Copilot models and tight integration across Microsoft apps
  • Global-scale infrastructure, SLAs, and enterprise-grade uptime
  • Deep desktop app integrations and native Office features
  • Continuous feature updates, security patches, and compliance guarantees

What remains hard

  • Infrastructure at scaleMicrosoft 365 delivers cloud storage, advanced security, and Microsoft Copilot in your favorite apps—all in one plan.
  • Brand trustMicrosoft – AI, Cloud, Productivity, Computing, Gaming & Apps
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 11 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 self-hosted personal productivity suite using: Next.js (React) frontend, PostgreSQL for metadata, S3-compatible object storage (e.g. DigitalOcean Spaces), FastAPI backend (Python) for API, and OpenAI-compatible LLM API for assistant features. In scope: user auth (email/OAuth), upload/download file storage, a basic rich-text editor with save/load, API endpoints to call an LLM and return inline suggestions, simple versioning, and background worker for saves. Out of scope: full Office file format fidelity, exchange/calendar sync, enterprise compliance. Include error handling, input validation, automated tests for API endpoints, and deployment docs (Docker Compose + cloud provider instructions).
How we checked3 sources · 2/3 runs agreed · evidence score 25

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 3 cited sources+3
  • Hard moats found in the evidence-3
  • Evidence score25

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 not confirmed on the page — this pricing page renders its price in the browser! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page