Writing and content decision

Trinka

A capable developer can build a useful, privacy-respecting grammar checker and offline desktop app (core loop) in about a week, but reproducing Trinka’s full offering—plagiarism databases, journal-finder, large commercial integrations, and enterprise certifications—requires data, licenses, and operations that make keeping the commercial service reasonable for many users.

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Subscription$1.37/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $20
Evidence3/3 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

  • Accept user text or uploaded document, run grammar/style/consistency checks, return annotated suggestions and allow applying edits; support offline processing for sensitive documents.

What it still won’t have

  • Proprietary plagiarism database and marketplace integrations
  • Journal-finder and large-scale citation quality checks backed by paid publication indexes
  • Enterprise compliance, certifications, and Trust Center claims without formal audits
  • Polished commercial integrations (Word add-in, multi-browser plugin, SDKs) and support

What remains hard

  • Compliance and regulationConfidential Data Plan No data storage. No AI training.
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 18 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 privacy-first grammar-check web app using React for the frontend, a Python FastAPI backend, and an open-source grammar engine (e.g., LanguageTool or transformer-based rule+model) for analysis. In scope: (1) web editor that accepts pasted text and uploads .docx/.tex, (2) backend endpoints that return inline suggestions with explanations and categories (grammar, style, consistency), (3) apply-suggestion logic that updates .docx/.tex while preserving formatting, (4) an Electron desktop package that runs the backend locally for offline processing, (5) secure deletion/no persistent storage by default, error handling, and unit + integration tests. Out of scope: building a commercial plagiarism marketplace, paid publication-index integrations, custom enterprise SLAs, and advanced journal-finder features.
How we checked5 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

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 · 5

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 quoted from the page