CRM and sales decision
SquidX
A capable technical user can build and host a useful replacement (core: ingest X, score intent, draft DMs) in a few weeks; open-source prior art (OpenOutreach) shows the core is achievable, so keep paying only if you need the hosted polish and support.
Visit website↗Built by Axel Schapmann, who ships 4 products in this index
$19/mo
$228/yr
Read off the official pricing page.
$100one-off74 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 SquidX alternatives, with the arithmetic →
What a replacement has to do
- Continuously ingest public X posts matching watched keywords/accounts, score intent, surface leads in a dashboard with AI-drafted DMs, and (optionally) send DMs under user control.
What it still won’t have
- Polish and UX polish of a production SaaS dashboard
- Hosted live demo and onboarding flows
- Built-in billing, trials, and subscription management
- Customer support and SLA
- Any proprietary intent-scoring improvements not included in basic classifier
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
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
Build a self-hosted lead-finder for X using Node.js (Nest or Express) + React for the dashboard, Postgres for storage, and Docker for deployment. Core features in scope: 1) background X ingestion worker that polls the X API or streaming endpoints and saves mentions/posts matching configured keywords/accounts; 2) configurable keyword/account watchlists and a simple rules-based + small ML intent scorer that tags matches; 3) LLM-based DM draft generation using OpenAI-compatible API (prompt templates, per-user voice); 4) authenticated React dashboard showing ranked leads, lead detail view, send-DM action (requires explicit user X OAuth tokens), and audit logs; 5) rate-limit-safe DM sender with retries and opt-out controls. Out of scope: multi-tenant billing, advanced intent-model training, analytics beyond basic counts. Deliverables must include containerized deployment (Docker compose or Kubernetes manifests), automated tests for ingestion, scoring and DM generation flows, error handling for API failures, and docs for obtaining X API credentials and configuring LLM API keys.
How we checked
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.
- official productsquidX: Everything you need to grow on X
- official pricingPricing · squidX
- open sourcemonicahq/monica
- open sourcekrayin/laravel-crm
Integrity checks
What held up, and what did not.
