# Roadmap ### Phase 1 * [ ] Launch **Yappr (Beta)** — campaign platform with reward pools and AI-driven scoring. * [ ] Launch $YAPP Token — Ecosystem utility token (fee payments, staking, tier unlocks). * [ ] Release **AI Scoring Engine v1** to measure engagement and real impact. * [ ] Run initial test campaigns with selected partners. * [ ] Introduce **Yapp Intel (Alpha)** for tracking trending tokens and KOL activity. * [ ] Introduce **Yapp Radar (Alpha)** for early alerts on social surges. * [ ] Begin community building and early marketing efforts. ### Phase 2 * [ ] Public launch of **Yappr (Mainnet)** for all users. * [ ] Implement platform fee of 0.03 ETH per active pool. * [ ] Full release of **Yapp Intel** with enhanced analytics and live tracking. * [ ] Full release of **Yapp Radar** with advanced filters and faster alerts. * [ ] Launch **Yapp Market (Alpha)** for direct token purchases. * [ ] Release **Yapp Board** to track campaign history, XP, rewards, and tier levels. * [ ] Expand partnerships and marketing outreach across Web3 communities. ### Phase 3 * [ ] Full release of **Yapp Market** with direct trading and multi-chain support. * [ ] Release **AI Scoring Engine v2** with sentiment analysis and quality verification. * [ ] Expand to multiple blockchains: BSC, Base, Arbitrum, Solana. * [ ] Launch gamified leaderboards with $YAPP rewards. * [ ] Introduce advanced intel tools for narrative prediction and whale tracking. * [ ] Enable automated campaign matching between projects and top promoters. * [ ] Transition to DAO governance, giving $YAPP holders voting power. ### Phase 4 - Expand Roadmap Further developments will be revealed in the next update. *** **Disclaimer:** The roadmap serves as a forward-looking vision for Yapp AI. Timelines and features are subject to change based on market conditions, user feedback, and strategic priorities. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://yapp-ai.gitbook.io/docs/roadmap.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.