A Cambodia-first path for tech students to discover internships, freelance work, jobs, and portfolio-building opportunities. It is live at bayonhub.com: students register, save and apply, employers post and move applications, and every company and opening is fictional sample data.
Built around Cambodian students in AI, data, cybersecurity, software engineering, and related technical fields.
Khmer and English are first-class product languages, with mobile workflows shaped for students building technical skills and their first credible body of work.
Internships, freelance work and jobs run end to end today: browse, save, apply, and follow the application as an employer moves it. Portfolio-building paths are not built yet.
A React client on two hosts, each answering its own /api, an Express API on Vercel, and Neon PostgreSQL and Upstash Redis in Singapore. Every company and opening is sample data, so there are no real employers, openings, placements, or users.
CHNAI LAB is built around students gaining real responsibility. BayonHub extends that direction beyond the studio: make technical opportunities easier to discover, compare, save, and pursue in one Cambodia-first product.
The companies and openings on BayonHub are fictional sample data, labelled Sample and restored daily. The evidence is a product that works end to end, not placements or traction. Any future employer, opportunity, verification, application, or outcome claim must be backed by a reviewed live workflow.
Vatana on the full build, with the team owning search, trust, and go-to-market.
Leads the full build — product, front end, and the production-shaped backend.
Search and relevance planning for technical opportunities, with matching kept out of shipped claims until it has evidence.
Auth, moderation threat modeling, and review boundaries so no employer or opportunity is called verified without evidence.
Employer discovery and go-to-market planning, without implying partner commitments or available roles.
From a live product on sample data to a controlled, evidence-backed first launch.
Role-aware auth, student and employer records, and opportunity and application models are built, and the workflow APIs now serve the live product.
Browsing and saving opportunities run against the live API, on sample listings labelled Sample in the interface.
Application writes already fail clearly when no employer can receive them, and each keeps a snapshot of what was applied to. Next: make moderation decisions auditable beyond today's report queue.
Start only after reviewed employers, real opportunities, delivery infrastructure, and student-facing copy have passed controlled launch checks.
BayonHub is a CHNAI LAB product, live at bayonhub.com on sample data. See the rest of the work, or how the lab runs.