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Help collect public web data for AI analytics by contributing your idle bandwidth and earn rewards in return. 🚀 Discover Lumora: Share Resources, Earn Rewards Contribute to open AI development by sharing your unused bandwidth — and earn Lumora rewards in return. 🔑 Key Features: Resource Sharing: Convert your unused internet bandwidth into Lumora rewards by contributing to the Lumora Fast AI network. API Access Support: Help users access APIs that are typically locked behind paywalls through our shared resource system. Support Open Data: Contribute to keeping information sources like Wikipedia accessible to everyone. Full User Control: Use simple toggles to decide when to share bandwidth and when to pause — all with just a few clicks. Community Impact: Directly support independent AI developers and researchers working to democratize AI technology. Real-Time Monitoring: Track your bandwidth contributions and rewards earned through an intuitive dashboard. Easy Setup: Install and start contributing in under a minute with our simplified configuration process. ⚙️ How It Works: When activated, Lumora routes your unused bandwidth through the Lumora Fast AI system. This shared computing power helps maintain open access to key APIs and public data sources, supporting independent AI research and development. 🔐 Permissions Required: Network Access: Needed to manage bandwidth sharing when activated. Background Processing: Allows the extension to function efficiently without disrupting your browsing. Storage: Securely stores your preferences and reward data locally. Notifications: Sends updates about bandwidth sharing activity and earned rewards. Be part of a community working to make AI development more accessible and transparent. Your contribution supports better AI systems — all while maintaining data privacy and security. 📬 More Information & Support: DApp: dapp.lumoratoken.ai Website: community.lumora.ai Email: main@lumoratoken.ai Join hundreds of users already helping democratize AI access — and earn rewards for your contribution!
May 8, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.