DAPPOS
DOS
Intent-based Web3 operating protocol
Performances
| 1h | 24h | 7d | 30d | 60d | 90d |
|---|---|---|---|---|---|
| 0.45% | 0.95% | 2.11% | 17.15% | -- | -- |
Comparison
Fundraising not disclosed
Token not listed
Token not listed
Details
This content is generated by RD AI and is for reference only
DAPPOS is an intent-based Web3 operating protocol designed to lower the barrier to interacting with decentralized applications. By unifying account and task execution layers, it allows users to avoid managing gas fees, bridges, and complex operations across multiple chains. Its core mechanisms include a decentralized execution network and the Optimistic Minimum Staking (OMS) mechanism, ensuring transaction security and capital efficiency.
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About DAPPOS
DAPPOS is a Web3 AI operating system that simplifies crypto-related tasks through natural language. Its core product, xBubble, is a low-prompt AI assistant that turns brief requests into finished deliverables—including images, videos, websites, documents, and scheduled tasks—without requiring users to test models, integrate tools, or write code.
xBubble is built on two key systems: Bubble Engine, which generates and tests task-specific standard operating procedures (SOPs) for AI agents, and Bubble Pilot, which reads user intent and routes requests to the most suitable solution. This architecture shifts the burden of model selection, prompt engineering, and tool orchestration from the user to the system.
The market pain point DAPPOS addresses is the usability gap in AI: as models become more powerful, ordinary users still struggle to reliably translate goals into correct AI solutions. xBubble reverses this relationship—AI learns AI, AI uses AI—so users only need to state their objectives.
In the past six months (February to August 2026), DAPPOS officially launched xBubble as a full product with over 10 core features across two modes: Bubble Computer, an end-to-end project workspace that handles multi-step tasks in a sandboxed environment, and Bubble Personal, a local environment mode that automates tasks across local files, browsers, apps, and calendars. Supported tasks include voice input, text-to-speech, talking avatars, deep research, slide creation, document generation, fact-checking, scheduled tasks, poster design, image generation, video production, and website development. The system continuously improves as recurring fallback requests guide Bubble Engine to build new SOPs.
UPBIT listed DOS with KRW, BTC, and USDT trading pairs, marking DAPPOS's entry into major exchanges.
OKX launched DOS perpetual contracts, providing derivatives trading.
Released xBubble, focusing on low-threshold AI productivity, expanding AI application scenarios.
Partnered with Pendle to provide yields for intent assets, enhancing asset utility.
Joint event with Binance Web3 wallet offered up to 500,000 USDC in rewards, attracting a large user base.
The 6th phase of Rocket Campaign distributed Kilo token airdrops, incentivizing community participation.
Positive: On July 29, DOS tokenomics were released (1B supply, 6% airdrop). TGE went live on August 10 with 200M initial circulation. Team and investors have a 12-month cliff, so no insider selling in year one. The protocol includes buyback-and-burn and mandatory staking to offset monthly 1.5% inflation. The first monthly unlock on September 10 goes only to community and foundation, not insiders.
Negative: After listing, prices fell sharply due to zero-cost airdrop selling. On August 11, Phase 2 claiming opened and DOS dropped 37.62% in 24h to $0.3491. Monthly unlocks add supply; September 10 unlocks ~14.58M DOS (1.5% of total, ~7.3% of circulating market cap). With 1B total vs 200M circulating, FDV far exceeds market cap.
Ty (Founder) - Leads overall vision and strategy for dappOS, a Web3 AI operating system.
Isabella Yang (Co-Founder) - Previously a Software Engineer at Google and a General Partner at HIG, an investment group focusing on deep-tech innovation. She is also an angel investor in e-commerce and Web3, and held a Research Fellowship in Artificial Intelligence at Carnegie Mellon University.
Vincent Lee (Research Lead) - Oversees research initiatives, driving the AI and intent execution capabilities of the platform.
Taylor Harris (Head of Community) - Manages community growth and engagement, fostering the dappOS ecosystem.