Cavuno
Niceboard
Job Board Fire
jBoard.io
Job Boardly
Smart Job Board
CareerLeaf
EjobsiteSoftware
StackTips 2.0
Launch your automated job board in minutes. Cavuno handles job aggregation, AI-powered search, employer enrichment, and listing maintenanceโso you can focus on growth.
Cavuno StackTips 2.0No features have been listed yet.
Cavuno's answer
We built AI into every layer of the product, not as an add-on. Our search understands meaning, so "Ruby developer" surfaces "Rails engineer" jobs. Listings get auto-tagged with skills, seniority, and categories the moment they come in. Company profiles fill themselves in with logos, descriptions, and social links. And we include job aggregation on every plan with no per-job fees, so a new board can go live with thousands of relevant listings right away
Cavuno's answer
Price, AI, and aggregation. Competitors like JBoard, Jobboardly, and Kardow charge per-job credits for aggregation. We start at $29/mo and include AI-powered search, auto-tagging, company enrichment, and aggregation on every plan. We also auto-generate thousands of SEO landing pages for category and location combinations. No revenue share, so you keep everything you earn.
Cavuno's answer
People launching niche job boards. That's typically solo entrepreneurs building industry-specific boards, professional associations adding jobs as a member benefit, VC firms connecting portfolio companies with talent, staffing agencies, universities, and publishers turning their audience into a revenue channel. No coding required.
Cavuno's answer
We built Himalayas from scratch. It grew into one of the world's largest remote job boards, used by millions of people a year. We also ran niche boards like Venture Capital Careers on off-the-shelf software, but nothing was fast, beautiful, or built with AI at its core. So we started Cavuno. Our belief: the world would be better with thousands of niche job boards, each run by people who know their industry and care about their community, instead of everyone fighting for visibility on LinkedIn and Indeed. We want to be the infrastructure that makes that possible.
Cavuno's answer
Next.js 16, React 19, TypeScript, Tailwind CSS, PostgreSQL via Supabase (database, auth, storage), Qdrant vector database and Voyage AI embeddings for semantic search, Stripe for payments, Vercel for hosting.
Cavuno's answer
Based on our record, StackTips 2.0 seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Originally published at http://stacktips.com. - Source: dev.to / over 2 years ago
Today, I am excited to take a giant leap forward in my journey by open-source the codebase of my blog stacktips is now available on GitHub. - Source: dev.to / almost 3 years ago
Now I am running this blog stacktips.com. It is a custom-built site, using Python, Django, and VueJS. - Source: dev.to / almost 3 years ago
Prefix="og: https://ogp.me/ns#"> StackTips - Resources for Developers property="og:url" content="https://stacktips.com"> property="og:type" content="website"> property="og:title" content="StackTips- Resources for Developers"> property="og:description" content="StackTips provides developer friendly ways to learn programming. We aim to teach developers in the most efficient ways... - Source: dev.to / almost 3 years ago
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