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Trevor Behnke logoTrevor Behnke

BlogSocializer — Full-Stack AI SaaS MVP

End-to-End SaaS with Auth, Billing, Tiered Subscriptions, and AI-Powered Content Repurposing.

Sole Architect & Engineer2024-2025
Next.jsReactTypeScriptNodePostgreSQLOpenAI APIStripeVercel
BlogSocializer — Full-Stack AI SaaS MVP cover
Landing Page
BlogSocializer — Full-Stack AI SaaS MVP screenshot 1
User content dashboard
BlogSocializer — Full-Stack AI SaaS MVP screenshot 2
Admin metrics panel
Background
BlogSocializer was born out of a pain point I observed: writing blog content is time-intensive, and yet most of that content never reaches people active on other channels. So the idea was to build a tool that turns one long form post into multiple pieces of content automatically — whether it's a Twitter/X thread, a LinkedIn post, or a newsletter — optimized for each channel. The product aims to reduce friction, amplify reach, and let creators get more out of every post.
Contribution
  • Designed and built the frontend UX & editor flows for quickly inputting content, selecting templates, and previewing output
  • Architected the backend services to process content transformations (prompt engineering, platform-specific restructuring)
  • Setup multi-tenant billing via Stripe, subscription tiers, and access controls
  • Built background jobs / queues to handle generation, formatting, and delivering output reliably
  • Implemented observability & monitoring to track usage metrics, failure rates, and system health
Learned
  • The value of prompt engineering: small changes in how content is phrased or structured make big differences in output quality across platforms.
  • Importance of scalable design patterns: anticipating load, failing gracefully, and maintaining performance when many users submit large content.
  • UI/UX trade-offs: balancing feature richness (many options) with simplicity and speed (minimal friction).
  • On billing & pricing: building flexible subscription models that both attract early users and sustain growth.
  • Continuous feedback loops matter: user engagement data drives improvements in how content feels “native” on each platform.