Sui Vibev1.0.1

Academics and content creators use WALVIS to save and organize research articles, web pages, and notes from Telegram. The AI auto-tags content by topic, enabling quick retrieval for literature reviews or content planning, with decentralized storage ensuring data ownership.

Remote teams in tech or consulting use WALVIS to share links, documents, and insights via Telegram. AI-generated tags and summaries help categorize information by project or skill, improving collaboration and reducing information silos across decentralized workflows.

Individuals save tutorials, articles, and personal notes from Telegram for self-study or skill development. The system organizes items with tags like 'programming' or 'health', making it easy to review saved content later through the web interface on wal.app.

Business analysts and marketers use WALVIS to track competitor websites, industry news, and trends shared on Telegram. Screenshots and AI summaries provide snapshots of web content, aiding in report generation and strategic decision-making with testnet storage.

Offer basic storage and features for free, with premium tiers for increased storage, advanced AI tagging, or mainnet access. Revenue comes from monthly subscriptions, targeting power users and teams needing scalable knowledge management.

Sell customized versions to companies for internal knowledge bases, with added security, compliance features, and dedicated support. Revenue is generated through annual licenses and implementation services, focusing on large organizations.

Aggregate anonymized usage data to provide insights on content trends or user behavior, sold to researchers or marketers. Revenue streams include data licensing and premium analytics dashboards, leveraging the decentralized storage ecosystem.