PrintCash with AIAutomated Niche Job Board
AI aggregates and tags jobs for one niche daily; employers pay to feature listings, jobseekers subscribe to alerts.
A named, real operator ran this and shared results publicly. The figures are their own.
Domain plus Make Core (~$10.59/mo). Sites can start on free plans (e.g. Softr free, or a static site).
The tool stack
Pulls jobs from company career-page feeds/ATS APIs on a schedule.
Airtable ↗Job database.
Softr ↗No-code job board frontend on Airtable.
Stripe Payment Links ↗Paid featured listings.
Kit or beehiiv ↗Weekly job alert email.
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Choose a niche with scattered listings and motivated employers (e.g. climate-tech design, remote veterinary, Rust developers).
- List 100–300 relevant companies; Make polls their public job feeds (Greenhouse/Lever/Ashby boards) daily.
- AI step classifies each job (seniority, remote, salary if stated) and writes a clean summary; dedupe in Airtable.
- Publish via Softr; add a free weekly email digest for jobseekers.
- Offer featured listings via a Stripe Payment Link; email companies who already appear on the board.
What's automated vs. the human 5%
🤖 The machine does
- Job collection, dedupe and tagging
- Board updates and weekly digest
- Payments for featured posts
🧑 You still do
- Niche positioning and community building
- Selling featured listings and sponsorships
- Spot-checking quality
Overview
Niche job boards win on curation. Automation keeps the board fresh daily, which most hobby boards fail at.
Costs
Roughly $10–$30/month in tools at the start.
Realistic income
Niche boards typically charge somewhere in the $50–$300 range per featured listing; revenue depends entirely on building a loyal jobseeker audience that employers want to reach. Expect months before first sale.
Risks
- Respect sources’ terms of service; prefer public APIs/feeds over scraping.
- Stale or duplicate listings damage trust.
- Chicken-and-egg audience problem.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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