Case study · Multi-tenant SaaS

Multi-brand SEO & content platform

A multi-tenant platform that pulls search and analytics data for each brand, drafts articles, scores them, sends them for review and publishes to WordPress, Shopify, Webflow or a hosted blog.

Built for WorkinX DigitalClient engagementMulti-tenant SaaS
Engineering facts
199 API routes checked with 229 cross-tenant probes: 0 failures
Drafts scoring under 70 are rejected before human review
15 background job queues under supervision
  1. 1The problem

    Each brand had its own sites, analytics and publishing tools, so content work was slow, inconsistent and hard to measure. One shared system had to serve every brand without any brand ever seeing another’s data.

  2. 2Our contribution

    Designed and built by Kumar Sahil, who wrote the large majority of the code.

  3. 3What we built

    A Next.js and PostgreSQL platform with background workers: keyword → draft → score → review → publish. An automated gate rejects any draft that scores under 70 or breaks a compliance rule and sends it back for rework before a person sees it. Fifteen job queues run on supervised workers, with publishers for WordPress, Shopify, Webflow and a hosted blog, and a separate NLP service for analysis.

  4. 4The result

    In production. Results shared on request.

Technology
Next.js
PostgreSQL + pgvector
Prisma
Redis / BullMQ
FastAPI
Claude
OpenAI
Gemini
DeepSeek
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Next step

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