Social media decision

Xpilot

A single developer can build a functional subset (extension + scheduler + LLM drafts + basic analytics) in a few weeks using existing OSS pieces, but reproducing the complete polished product, curated library, and analytics tuning at competitive quality is larger work and benefits from the vendor's ongoing product polish.

Visit website
You pay

$19/mo

$228/yr

Read off the official pricing page.

You’d pay instead

$100one-off76 h to build

$50/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 4 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 Xpilot alternatives, with the arithmetic →

What a replacement has to do

  • Generate draft tweets in the user's voice via LLM, schedule posts, record engagement, and run automated reposts/plug replies from a backend; a Chrome extension injects compose helpers into x.com.

What it still won’t have

  • Polished UX and Chrome-extension polish (edge cases, cross-version testing)
  • Curated formats/content library and tuned prompts maintained by product team
  • Refined analytics and growth heuristics calibrated on many customers' data
  • Support, billing, and refund handling

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 4 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 X growth service: backend in Node.js (Express) + Postgres, job queue with BullMQ, Next.js dashboard, and a Chrome extension content script. Core features in scope: OAuth-based X account linking, generate/refine tweets using an LLM API (configurable OpenAI/Gemini key), schedule posts and auto-repost worker, auto-reply (auto-plug) worker, store engagement metrics and show best-times/’do more/do less’ analytics, thread builder, and billing stub for single-customer mode. Out of scope: multi-tenant billing, curated paid templates library, advanced ML model training. Include error handling, unit tests for API endpoints, end-to-end tests for scheduling flow, and deployment scripts (Docker + single VPS).
How we checked4 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

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 · 4

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