GiggleGigs: A Job Board That Actually Uses AI Where It Helps

A developer built GiggleGigs, a two-sided job marketplace that applies AI at three points: generating job descriptions from short prompts, drafting job-specific cover letters and auto-filling seeker profiles via Gemini resume parsing, and match-scoring and summarizing applicants against job requirements. The production Django and React application includes real-time WebSocket notifications, Celery and Redis background processing, and a credit-based PayPal billing model with free listings converting to $29 single-post unlocks and $49-$99 monthly subscriptions.

Most job boards are glorified spreadsheets with a search bar. GiggleGigs isn't. It's a two-sided marketplace — "Find Work. Hire Talent." — built to close the gap between "I posted a job" and "I hired someone good," using AI at exactly the three points where it saves real time: writing the posting, writing the application, and screening the results. Here's what's actually under the hood, and why it's worth a look. The Problem It Solves Job boards fail in a predictable way: employers post vague listings because writing a good one is tedious, candidates send generic applications because tailoring one is tedious, and then the employer drowns in a stack of applications that all look the same. Nobody's time gets saved — the tedium just moves downstream. GiggleGigs attacks all three steps at once: - Companies write a two-sentence prompt and GiggleGigs' AI job-description writer expands it into a full posting with requirements, budget framing, and structure. - Seekers get an AI-drafted, job-specific cover letter instead of copy-pasting the same one everywhere — and can even upload a resume during onboarding and have Gemini auto-fill their entire profile name, bio, skills, headline, links, experience in seconds. - Companies then use an AI application screener that match-scores and summarizes every applicant against the job's actual requirements, so reviewing 40 applications doesn't mean reading 40 applications. That's the pitch: less busywork on both sides of the transaction, and a marketplace that gets more useful the more people use it. What's Actually Built This isn't a prototype — it's a full production-shaped Django + React application with a genuinely deep feature set: For job seekers - Skill/location/budget/timeline-filtered job search - One-click applications with optional resume upload PDF/DOC/DOCX, validated server-side - AI cover letter generation and AI resume-parsing onboarding - Real-time application tracking across a five-stage pipeline Pending → Reviewing → Interviewed → Hired/Rejected/Withdrawn - Application withdrawal, favorited jobs, and a daily digest email of new jobs matching your skills For companies - Full job posting management hourly or fixed price, detailed requirements - A filterable, sortable applicant dashboard with live hiring-pipeline stats - AI-powered candidate search and AI match-scoring per applicant - Star-rating feedback to candidates, resume downloads, and team invitations for multi-seat company accounts - Credit-based billing via PayPal to unlock posting and candidate contact Platform-wide - Real-time notifications over WebSockets Django Channels + Daphne ASGI — no polling, no refresh - JWT auth plus django-allauth for email/social login - Celery + Redis background processing with Celery Beat and Flower for monitoring - Content moderation tooling for jobs, companies, and users - A full analytics dashboard for staff on jobs and user activity - An API-first backend Django REST Framework, OpenAPI schema via drf-spectacular behind a React 18 + Vite SPA Every one of these shipped incrementally and is live in the codebase today — this is a v1.7 product with a real changelog, not a feature wishlist. The Business Model Is Already Wired In GiggleGigs isn't just feature-complete — it's monetization-complete. Companies post their first two jobs a month for free liquidity first, revenue second , and then convert through one of: - $29 single-post unlock — the low-commitment first purchase, for a company that just got applicants and wants to actually contact them - Starter $49/mo — for companies hiring regularly - Growth $99/mo — adds full candidate search - Annual plans at two months free That progression — free listing → paid contact unlock → subscription — is a deliberate sequencing choice: liquidity seekers applying has to exist before employers will ever pay, so the free tier isn't a loss leader, it's the engine that makes the paid tier valuable at all. Why the Engineering Choices Matter A few decisions stand out as the kind that pay off later rather than look impressive now: - Services layer, not fat views — business logic lives outside the DRF views, which keeps the API surface thin and testable. - Proxy user model Company / Seeker / Employee subtypes instead of bolting role flags onto a single User table — cleaner permissions, cleaner queries. - Consistent { data, message, errors } API envelope across every endpoint, which makes the frontend's error handling and loading states uniform instead of ad hoc per-page. - Docker-only local workflow — Postgres, Redis, Django, Celery, Channels, and MailHog all come up together with one command, so "works on my machine" isn't a category of bug here. - Real-time built on Channels from day one , not retrofitted — notifications, status changes, and messaging all ride the same WebSocket infrastructure. None of this shows up in a demo GIF, but it's the difference between a project that can take on its next ten features and one that needs a rewrite to get there. Try It GiggleGigs is a working, self-hostable job board and marketplace — clone it, docker compose -f local.yml up , and you have Postgres, Redis, Celery, Channels, and MailHog running together in one shot. If you're evaluating job-board platforms, building a niche talent marketplace, or just want to see AI applied to hiring in a way that removes tedium instead of adding a chatbot nobody asked for, it's worth a look. Find work. Hire talent. Skip the busywork.