SHIP AN AI JOB BOARD IN 30 MINUTES WITH CLAUDE, VERCEL, AND UPSTASH
A developer released a 22-file AI job board template that deploys on Vercel in minutes and costs about $5–20/month. The template packs resume upload, AI matchi...
A developer released a 22-file AI job board template that deploys on Vercel in minutes and costs about $5–20/month.
The template packs resume upload, AI matching via Claude, employer and admin portals, SEO blog generation, and weekly alerts into a tiny stack: Vercel serverless, Upstash Redis, and vanilla JavaScript—no build step, no node_modules. The author details the setup and tradeoffs in this walkthrough: I Built an AI Job Board That Deploys in 30 Minutes — Here's How.
Everything is configurable from a single config.js, including branding, country, pricing plans, and a switchable job aggregator that supports Adzuna, JSearch, Jooble, Careerjet, and Reed. The flow parses CV text client-side (PDF/DOCX/TXT) and posts to a Claude proxy for matching. Same write-up also appears on Forem.
It’s a concrete pattern for small AI apps: thin serverless endpoints, a KV store, and one config to drive behavior.
Low cost and zero-build tooling make MVPs easy to ship and iterate without heavy frameworks.
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terminal
Load-test Vercel functions for cold starts, rate limits, and Upstash latency under bursty traffic.
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terminal
Benchmark Claude matching quality and token costs on real CVs versus a keyword or embedding baseline.
Legacy codebase integration strategies...
- 01.
Swap the external job aggregator for your internal listings API behind the same jobs.js interface and add SSO for employers.
- 02.
Pipe events and CV text to your warehouse with PII controls, retention policies, and redaction in logs.
Fresh architecture paradigms...
- 01.
Use this as a seed to ship an MVP with minimal ops, then layer observability and quotas as usage grows.
- 02.
Extend config for multi-tenant branding and region-specific aggregators from day one.