
Deploy Tailit - AI Resume Builder
AI Powered Resume builder
tailit
Just deployed
Deploy and Host Tailit on Railway
Tailit is a free, open-source AI-powered resume builder that tailors resumes to specific job descriptions in minutes. It uses Groq-hosted language models to rewrite existing resume content while preserving factual accuracy, generates ATS-friendly PDFs with Typst, and keeps resume data private by storing it locally in the browser.
About Hosting Tailit
Hosting Tailit on Railway provides a production-ready Node.js environment for running the Next.js application and its server-side PDF rendering service. Railway automatically builds the application from the repository, provisions HTTPS, and provides a public domain with zero infrastructure management. Unlike many resume builders, Tailit stores user resumes locally in the browser using localStorage, so no database or persistent storage is required. The only external service needed is a Groq API key for AI-powered resume tailoring. Railway simplifies deployment, environment variable management, networking, and scaling while allowing the native Typst PDF compiler to run on a long-lived server for reliable PDF generation.
Common Use Cases
- Tailor resumes to match specific job descriptions using AI.
- Generate ATS-friendly PDF resumes from structured resume data.
- Self-host a privacy-focused resume builder for individuals, universities, or career services.
Dependencies for Tailit Hosting
- Groq API
- Native Typst PDF compiler
Deployment Dependencies
- Next.js Documentation: https://nextjs.org/docs
- GitHub Repository: https://github.com/sardorml/tailit
- Groq API Keys: https://console.groq.com/keys
- Typst Documentation: https://typst.app/docs/
Implementation Details
Tailit requires a Node.js runtime because PDF generation is performed server-side using the Typst compiler. Railway automatically builds the application from the repository and is well suited for this long-running workload.
Required Environment Variables
| Variable | Required | Description |
|---|---|---|
GROQ_API_KEY | Yes | API key used for AI-powered resume tailoring. Obtain one from the Groq Console. |
NEXT_PUBLIC_SITE_URL | No | Public URL of your deployed Railway application for canonical URLs and Open Graph metadata. |
GROQ_MODEL | No | Override the default reasoning model hosted by Groq. |
GROQ_MODEL_FAST | No | Override the default fast model used for lightweight tasks. |
Example:
GROQ_API_KEY=your_groq_api_key
NEXT_PUBLIC_SITE_URL=https://your-app.up.railway.app
# Optional
GROQ_MODEL=llama-3.3-70b-versatile
GROQ_MODEL_FAST=llama-3.1-8b-instant
Persistent Storage
No Railway Volume is required.
Resume data is stored in each user's browser using localStorage. The server does not persist user resumes or require shared filesystem storage.
Database
No database service is required.
Build & Start
Railway automatically builds the application from the repository. No custom build or start commands are required.
After deployment, configure the required GROQ_API_KEY variable in your Railway service before accessing the application.
Why Deploy Tailit on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.
By deploying Tailit on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.
Template Content
tailit
kaviarahul123/tailitGROQ_API_KEY
