Roadmap
JobScan’s development strategy is structured around logical growth phases, rather than rigid quarterly promises. This approach reflects our startup mindset and allows flexibility to respond to user feedback, market shifts, and technical advancements without sacrificing long-term vision.
Phase 1: Foundation & Beta Launch
Launch of core web platform (job matching + microtask layers)
Telegram Bot public release
Initial user onboarding and resume intake
Task distribution engine live with quality rating system
Early access resume feedback module
Liquidity pool seeded and token launched
Phase 2: Ecosystem Expansion
Integration of multilingual support and regional job sources
Expansion of microtask categories (AI moderation, tagging, transcription)
Launch of Web3 ID wallet and DID-based career profiles
Resume NFT system activated
Recruitment dashboard for employers
Initial DAO setup and governance documentation published
Phase 3: Mobile & Credentialing
Release of JobScan Mobile App (iOS + Android)
AI-powered resume builder and mock interview simulator
Employer-side automation: candidate screening AI, time zone filters, and bot integrations
On-chain skill verification partnerships (Gitcoin, TalentLayer, etc.)
Decentralized storage of resumes (IPFS or similar)
Phase 4: Community Ownership & DAO Control
Full DAO transition with token-based proposal/voting system
Open ecosystem for external integrations and career APIs
Education partnerships for skill track onboarding and proof-of-completion systems
Universal cross-platform identity: JobScan Passport
JobScan Hackathon Grants and Community Tools Program
Each phase builds incrementally on the last — ensuring that utility grows alongside user base, liquidity, and governance maturity.
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