Finance and accounting decision

Leverage

A competent technical user can build the core search+calculation+export workflow, but reproducing the vendor's compliance posture, partner valuation feeds, polished UX and enterprise features is not realistic as a drop-in replacement.

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SubscriptionCustom pricing
Initial build116 hours
Monthly upkeep6 hours + $200
Evidence3/3 runs agree

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Ingest listings from portals, parse property documents, compute financial metrics (cashflow, IRR, rent yield), surface deal-score and allow exportable bank-ready PDFs.

What it still won’t have

  • Enterprise compliance certifications and guarantees (ISO 27001, ISO 42001, EU AI Act readiness)
  • DSGVO-hosting assurances / EU-hosted managed infrastructure
  • Any proprietary AI model or partner valuation feeds advertised (e.g., PriceHubble integration)
  • Polished product UX, support SLAs and partner offers

What remains hard

  • Compliance and regulationDSGVO-konform · Hosting in der EU
Read the build prompt

First-year cost

No published price

Leverage does not publish a price we could read, so there is nothing to compare against. What building costs is below.

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 minimal Leverage replacement using Next.js (React) frontend, FastAPI backend (Python), Postgres for storage, Celery for background jobs, Playwright for portal scraping, pdfkit or Puppeteer for PDF export, and OpenAI (or configurable LLM endpoint) for optional valuation hints. In scope: cron-driven portal scrapers for 3 portals, PDF/XLSX exposé parser, REST API for CRUD on properties and portfolios, calculation engine (cashflow, IRR, amortization, scenario compare), UI for searching, scoring (green/yellow/red), portfolio view and PDF bank-export, basic user auth, EU-hosted deployment instructions (Docker + DigitalOcean/AWS in EU). Out of scope: achieving ISO certifications, SLA/onboarding for teams, commercial partner integrations, advanced enterprise billing. Include error handling, logging, tests for parsers and calculation engine, and README with deployment and GDPR-hosting notes.
How we checked1 sources · 3/3 runs agreed · evidence score 53

How the score was reached

  • Partly verdict base52
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score53

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 · 1

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

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