> For the complete documentation index, see [llms.txt](https://yapp-ai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://yapp-ai.gitbook.io/docs/roadmap.md).

# 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.