Best Boilerplates for Job Board Platforms in 2026

Job Boards: A Recurring SaaS Category

Job boards are perpetually popular side projects and niche SaaS products. The formula works: free job listings attract candidates, employers pay to post and feature listings, and a niche focus (remote only, specific tech stack, specific industry) creates defensible audience.

Build vs Platform Decision

Option	Cost	Time to Launch	Customization	Best For
Jobboard.io	$99/mo	1 day	Low	Quick validation
Careerpage.co	$49/mo	1 day	Medium	Company careers pages
Custom Next.js	Dev time	1-2 weeks	Complete	Niche job board product

Build custom when: niche-specific features, unique matching algorithms, or you're building a platform for others to create job boards.

Core Job Board Data Model

model JobPosting {
  id           String    @id @default(cuid())
  title        String
  company      Company   @relation(fields: [companyId], references: [id])
  companyId    String
  description  String    @db.Text
  requirements String?   @db.Text
  salary       Json?     // { min: 80000, max: 120000, currency: 'USD' }
  location     String?
  remote       RemoteType @default(HYBRID)  // REMOTE, HYBRID, ONSITE
  jobType      JobType   @default(FULL_TIME) // FULL_TIME, PART_TIME, CONTRACT
  tags         String[]  // "react", "typescript", "senior"
  featured     Boolean   @default(false)
  published    Boolean   @default(false)
  expiresAt    DateTime
  applications Application[]
  createdAt    DateTime  @default(now())

  @@index([remote, jobType, published])  // Critical for search performance
  @@index([tags])
}

model Company {
  id          String    @id @default(cuid())
  name        String
  logo        String?
  website     String?
  size        String?   // "1-10", "11-50", "51-200", etc.
  subscriptionId String? // Stripe subscription for job posting credits
  postings    JobPosting[]
}

Full-Text Search

Job boards need search across title, description, and company:

-- PostgreSQL full-text search
ALTER TABLE job_postings ADD COLUMN search_vector tsvector;

UPDATE job_postings SET search_vector =
  to_tsvector('english', coalesce(title, '') || ' ' || coalesce(description, ''));

CREATE INDEX job_search_idx ON job_postings USING GIN(search_vector);

-- Query
SELECT * FROM job_postings
WHERE search_vector @@ plainto_tsquery('english', 'senior react developer')
AND published = true
ORDER BY featured DESC, ts_rank(search_vector, plainto_tsquery('english', 'senior react developer')) DESC;

Employer Billing Model

// Pay-per-post model
const POSTING_CREDITS = {
  basic: { posts: 1, price: 99, featured: false },
  featured: { posts: 1, price: 199, featured: true },
  bundle5: { posts: 5, price: 399, featured: false },
};

// Subscription model (for frequent posters)
const SUBSCRIPTION_PLANS = {
  startup: { postsPerMonth: 3, price: 149 },
  growth: { postsPerMonth: 10, price: 399 },
  enterprise: { postsPerMonth: 999, price: 999 },
};

RSS Feed for Aggregators

Job boards get traffic from job aggregators (Indeed, LinkedIn, Google for Jobs). Provide an RSS/XML feed:

// app/feed.xml/route.ts
export async function GET() {
  const jobs = await db.jobPosting.findMany({
    where: { published: true, expiresAt: { gt: new Date() } },
    orderBy: { createdAt: 'desc' },
    take: 100,
    include: { company: true },
  });

  const feed = `<?xml version="1.0"?>
<rss version="2.0" xmlns:google="http://base.google.com/ns/1.0">
  <channel>
    <title>Jobs - YourJobBoard</title>
    <link>https://yourjobboard.com</link>
    ${jobs.map(job => `<item>
      <title>${job.title} at ${job.company.name}</title>
      <link>https://yourjobboard.com/jobs/${job.id}</link>
      <description>${job.description.slice(0, 500)}</description>
      <pubDate>${job.createdAt.toUTCString()}</pubDate>
    </item>`).join('')}
  </channel>
</rss>`;

  return new Response(feed, { headers: { 'Content-Type': 'application/xml' } });
}

---

Compare job board and SaaS boilerplates on StarterPick.