CRM and sales decision

Ronaldo Possan

A competent developer can build a useful, self-hosted subset (lead ingest, transcription, AI suggestions, review UI and exports), but reproducing the vendor polish, ongoing model tuning, reliability and full agency workflows (scale, product polish, support) is costly—so building a narrower replacement is realistic, the full paid product is harder to match.

Visit website
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off120 h to build

$200/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 8 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 Ronaldo Possan alternatives, with the arithmetic →

What a replacement has to do

  • Sync accounts via Google/MCC, ingest leads and call audio, transcribe audio, run an LLM/ML evaluation to suggest a rating and reason, let a human review/edit, submit approved feedback to Google, and generate daily client reports/exports.

What it still won’t have

  • Polished, production-hardened UX and large-scale polish
  • Vendor-tuned AI models and internal evaluation/threshold tuning
  • Customer support, SLAs and reliability engineering at scale
  • Ongoing product feature development and marketing
  • Any proprietary monitoring/ops the vendor runs in production

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 8 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 LSA dashboard using Django (Python) + Postgres + Celery + Redis for background jobs and a React (or SvelteKit) single-page frontend. Core features in scope: 1) Google OAuth + MCC account import and periodic lead sync via Google Ads API; 2) persist leads, messages, call metadata and store audio in S3-compatible storage; 3) transcription worker using Whisper or cloud STT with retries and costs tracked; 4) an AI evaluation service that calls an LLM API with transcript+metadata to return suggested rating and plain-English reason; 5) a review UI listing leads with audio player, transcript, suggested rating, edit/approve/discard controls, and a button to commit feedback back to Google Ads via API; 6) daily per-account report email generator and one-click exports (CSV/Excel/PDF/JSON); 7) audit logs, role-based permissions, and basic tests for API endpoints and background jobs. Out of scope: multi-tenant billing portal, advanced UI polish, proprietary model training. Require error handling, retries for transient API failures, end-to-end tests for sync/transcribe/evaluate/commit flows, and basic deployment scripts (Docker Compose or Kubernetes manifests).
How we checked5 sources · 3/3 runs agreed · evidence score 67

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
  • 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 · 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 recorded