Inspiration

Small businesses and creators struggle to plan engaging, multi-platform social campaigns because they lack the time and tools to manage everything content creation, scheduling, competitor research across multiple channels. We envisioned an AI-powered assistant that turns raw product details into ready-to-launch marketing campaigns in seconds.


What It Does

Our platform ingests campaign details: budget, product info, audience, even audio inputs via Gladia and uses Claude to instantly generate post titles, descriptions, schedules, and formats for Twitter, Instagram, LinkedIn, and more.

It also integrates Apify to scrape competitor data for insights and trends, so campaigns can be benchmarked against market activity. All results are saved for review or direct publishing, streamlining the entire campaign workflow.


How We Built It

  • Frontend: Next.js with Stytch for seamless passwordless authentication and user profiles
  • Backend: Express.js + PostgreSQL (AWS RDS) for campaigns, assets, and analytics
  • AI Layer: Anthropic Claude for content generation, Gladia for speech-to-text, Apify for competitor intelligence

Challenges We Overcame

  • Migrating from Auth0 to Stytch while preserving SSO and security
  • Handling strict JSON parsing from LLM outputs with schema validation
  • Configuring SSL, connections, and migrations on AWS RDS
  • Fixing CORS issues between Next.js frontend and Express backend
  • Normalizing and merging competitor data from Apify into campaign workflows

Accomplishments We’re Proud Of

  • End-to-end pipeline: from campaign setup → audio input transcription → competitor analysis → AI-generated content → review-ready campaigns
  • Reliable integrations producing valid, structured campaign data
  • A polished, responsive UI with Chakra’s theming for quick deployment

What We Learned

  • Real-world Express + PostgreSQL deployment on AWS RDS
  • Best practices for Stytch in modern Next.js apps with separate APIs
  • Robust error handling for AI outputs and data pipelines
  • Practical integrations of multi-source AI tools (Claude, Gladia, Apify)

What’s Next

  • Direct publishing to social APIs (Twitter, Facebook, LinkedIn)
  • AI-assisted media creation (images, short-form videos)
  • Engagement analytics dashboards and smart recommendations
  • Automated scheduling workflows via n8n / DuploCloud MCP
  • Deeper integrations with sponsors’ APIs for data enrichment

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