Inspiration
I wanted to generate Twitter content that didn’t feel robotic or artificial. My goal was to learn how to build a fully stacked AI-powered tool from scratch—not just a wrapper, but something engineered end-to-end.
🛠 What It Does
You paste in an affiliate link (e.g. https://shipfa.st/?via=jessyka) and it generates 3 distinct tweet styles tailored to your URL.
It:
- Scrapes the root webpage
- Runs a SERP analysis using SerpAPI
- Extracts metadata, headings, and keywords
- Uses LangChain with custom prompts to generate natural, relevant tweets
I also implemented a localized cache system that lets users regenerate tweets without burning API tokens, saving both compute and cost.
How We Built It
- Used Netlify to deploy and host the frontend and backend serverless functions
- Used Supabase as the backend database, handling storage, queries, and RLS
- Wrote serverless functions to orchestrate LangChain + OpenAI usage
- Limited requests to 1–3 per prompt and verified output quality before implementation
- Focused on modular design and tight feedback loops during development
Challenges We Ran Into
The hardest part was integrating all the backend logic.
- Supabase took time to learn—configuring tables, roles, and permissions
- Netlify Functions required precise debugging for logic and API
- Managing environment variables securely was imoprtant
- I spent several 10+ hour days debugging logs, function errors, and integration flow
Accomplishments We’re Proud Of
- Full Netlify + Supabase integration without relying on third-party wrappers
- Custom PostgreSQL database setup in Supabase
- Backend logic written entirely in serverless functions
- Structured content scraping + SEO-aware tweet generation
- Custom token-saving cache system to reduce API costs
- LangChain pipeline customized with multiple prompt styles
What I Learned
- How to build and deploy serverless APIs with Netlify
- How to architect and secure a Supabase backend with dynamic data
- How to integrate LangChain + OpenAI into a structured generation system
- How to log, test, and monitor real-time backend workflows
- How to build a data-first, full-stack AI tool from scratch
What’s Next for Link Marks the Spot
- Add more tweet formats (e.g., influencer threads, memes, viral formats)
- Create a paid plan with advanced prompt tuning and analytics
- Launch a Chrome extension for instant tweet generation from any URL
- Let users create accounts, view tweet history, and schedule posts
Built With
- database-triggers)
- eslint
- javascript
- langchain
- lucide-react
- netlify
- openai-api
- pg-net-extension
- react
- resend-api
- row-level-security-(rls)
- serpapi
- sql-(postgresql)
- ssrf
- supabase-(postgresql-database
- supabase-edge-functions
- supabase/supabase-js
- tailwind-css
- typescript
- vite

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