# GiggleGigs: A Job Board That Actually Uses AI Where It Helps > Source: > Published: 2026-09-22 16:57:43+00:00 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- Real-time application tracking across a five-stage pipeline (Pending → Reviewing → Interviewed → Hired/Rejected/Withdrawn) - Application withdrawal, favorited jobs, and a daily digest email of new jobs matching your skills **For companies** - Full job posting management (hourly or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.**