ProRobot

Hashtag: #solana

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  • Reward for Artistic and Beneficial Occupational Tasks and Applications ($RABOTA)

    In the rapidly evolving digital economy, blockchain technology has opened new opportunities for rewarding creativity and valuable occupational tasks. ProRobot.ai is harnessing this power through its innovative $RABOTA token, built on the Solana blockchain, specifically designed to incentivize artists, content creators, and professionals engaged in productive, creative, and beneficial activities.

    Unlocking Artistic Potential with Blockchain

    The $RABOTA token empowers creators by offering rewards for transforming original content into digital assets, primarily through Non-Fungible Tokens (NFTs). By leveraging blockchain technology, artists and creators can confidently monetize their works while ensuring ownership, authenticity, and fair compensation. This approach not only enhances economic value for creators but also fosters a thriving, decentralized community of innovators.

    Beneficial Occupational Applications

    Beyond the artistic realm, $RABOTA also rewards professionals engaging in occupational tasks that positively impact society. These beneficial applications include:

    • Content creation
    • Educational materials
    • Robotics automation solutions
    • Decentralized robotics coordination
    • Secure communication within robotic ecosystems

    By incentivizing these valuable tasks, ProRobot.ai facilitates meaningful contributions to both the creative industry and broader technological progress.

    Ecosystem Integration and Community Governance

    The utility of $RABOTA extends across creators, developers, and consumers, all playing distinct roles in the token’s ecosystem. Token holders have opportunities for governance, influencing decisions within ProRobot.ai’s innovative platforms. This democratized approach ensures community involvement and sustainable development aligned with user needs.

    Future Outlook

    As blockchain integration deepens within various occupational sectors, tokens like $RABOTA stand out by aligning financial rewards with artistic innovation and occupational excellence. Through clear incentives, transparent transactions, and secure infrastructure provided by Solana, ProRobot.ai continues to set a precedent for a thriving, equitable, and productive digital economy.

    By recognizing and financially incentivizing artistic talent and beneficial occupational contributions, the $RABOTA token emerges as a powerful catalyst for creativity, productivity, and decentralized economic growth.

    Profile photo of Konstantin Yurchenko, Jr.

    Konstantin Yurchenko, Jr.

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    3 days ago
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  • The Evolution of SkateConnect: Part 2 – Enhancements, Performance, and Community Integration

    🚀 Introduction: Taking SkateConnect to the Next Level

    In Part 1, we explored how SkateConnect evolved from an idea into reality—building real-time messaging, interactive maps, and seamless video sharing into a cohesive experience for skaters. Now, it’s time to delve deeper into optimizations, robust deep linking, enhanced camera reliability, and crucial community-driven improvements.


    💬 Direct Messaging: Secure, Private, and Real-Time

    Skateboarding thrives on direct communication. We expanded SkateConnect’s messaging capabilities to include:

    • ✅ Encrypted direct messaging for enhanced privacy.
    • ✅ Dynamic group chats that maintain high performance.
    • ✅ Efficient message synchronization across multiple devices.

    🔹 Technical Challenges:

    • Balancing encryption with real-time responsiveness.
    • Managing battery efficiency while handling notifications.
    • Preventing message duplication across Nostr relays.

    ✅ Solutions Implemented:

    • Leveraged Elliptic Curve Cryptography (ECC) for secure yet lightweight messaging.
    • Introduced a robust Combine-based event handling system, significantly optimizing performance.
    • Developed a custom deduplication strategy to handle message repeats from multiple relays.

    The result: Fast, secure, and seamless messaging for all SkateConnect users.


    ⚙️ Performance & Stability: From Black Screens to Smooth Experiences

    Nothing is more frustrating than a glitchy app. We tackled issues like intermittent camera black screens and slow loading times head-on.

    • ✅ Eliminated intermittent camera loading issues causing black screens.
    • ✅ Optimized video upload performance, ensuring stability even with large skate videos.
    • ✅ Streamlined thumbnail generation to improve responsiveness.

    🔹 Challenges and Solutions:

    • Black Screen Bug: Resolved by explicitly managing camera state transitions using Combine and SwiftUI lifecycle events.
    • Video Upload Optimization: Implemented chunked uploads to AWS S3 for stability and improved upload speeds.
    • Instant Thumbnails: Thumbnails are now generated immediately on-device, reducing wait time for video sharing dramatically.

    SkateConnect now feels fluid, reliable, and ready to capture your skate sessions instantly.


    📍 Enhanced Deep Linking: Universal & Custom URL Integration

    Effective deep linking transforms SkateConnect from an app into an ecosystem. To improve deep linking:

    • ✅ Universal Links (https://skatepark.chat/channel?...) integrated with robust URL parsing.
    • ✅ Custom URL Schemes (skateconnect://) support easy navigation even when offline.
    • ✅ Seamless integration from QR codes scanned externally (e.g., camera app).

    🔹 Technical Improvements:

    • Updated the apple-app-site-association file to cover deep linking channels.
    • Implemented SwiftUI’s onContinueUserActivity with NSUserActivityTypeBrowsingWeb to handle deep links smoothly.

    The result: Reliable, intuitive linking from external apps and QR codes directly to the app’s correct views.


    🎥 Elevating Video Sharing: Faster, Easier, Better

    Video sharing is core to the skating experience, and we’ve made it easier than ever:

    • ✅ Quick camera access without black screen delays.
    • ✅ Streamlined uploads, reducing network bottlenecks.
    • ✅ Fast preview generation to enhance user engagement.

    🔹 Technical Improvements:

    • Optimized camera session management, eliminating black-screen issues.
    • Enhanced the UploadManager with error handling, retry logic, and progress indicators.
    • On-device thumbnail generation using AVFoundation, providing immediate feedback for users.

    📝 Contextual Actions & Community Requests

    We listened closely to feedback from the SkateConnect community, refining interactions across the app:

    • ✅ Context menus now allow adding notes, copying user details, or reporting instantly.
    • ✅ Enhanced alerts and confirmation dialogues with more flexibility (e.g., three-button alerts).
    • ✅ Conditional UI improvements that streamline user interactions, showing relevant actions based on available data.

    🔹 Key UI Changes:

    • Implemented contextMenu for efficient interactions with user details and messages.
    • Enhanced SwiftUI’s alerts to allow for better user input (e.g., note-taking with real-time text validation).
    • Improved feedback loops for form submissions, clearly indicating success and errors to users.

    This user-focused iteration ensures SkateConnect remains intuitive and responsive.


    📌 Refined Data Management & SwiftData Integration

    Efficient data management means less lag and a better user experience. Key improvements include:

    • ✅ Migration strategy based on dynamic app versions, avoiding hardcoded schema versions.
    • ✅ Efficient handling of friend notes and crypto addresses, leveraging SwiftData’s powerful relational capabilities.
    • ✅ Real-time updates managed through observable objects and objectWillChange.

    🔹 Technical Highlights:

    • Eliminated heavy computational operations in favor of memoized computed properties for unread counts.
    • Improved SwiftData schema definitions for cleaner and more efficient relationship handling.
    • Enhanced data validation (e.g., precise Solana address validation).

    🔗 Refined Deep-Linking Experience

    We’ve carefully refined deep-linking scenarios:

    • ✅ Universal links function seamlessly from external apps, web browsers, and QR code scans.
    • ✅ Swift’s NSUserActivity and onContinueUserActivity are fully leveraged for robust link handling.
    • ✅ Ensured reliable parsing from URLs (https://skatepark.chat/channel/...) to take users directly to content.

    🚧 Easy Integration into Existing Projects (Code Plug-in)

    All improvements were structured to make them easy to integrate into existing codebases. Modularized SwiftUI views, Combine-driven models, and clear delegation patterns allow:

    • Plug-and-play integration with minimal changes.
    • Easy-to-follow protocols and event-handling patterns.
    • Simplified lifecycle management to avoid UI bugs like black screens.

    📅 What’s Next in Part 3?

    Building on performance and usability, next we’ll focus on:

    • ✅ AI-driven skate spot recommendations.
    • ✅ Community voting and moderation tools.
    • ✅ Expanded analytics and user insights.

    Stay tuned as we continue shaping SkateConnect into the ultimate skateboarding app—by skaters, for skaters.


    🏁 Conclusion: Listening, Improving, and Growing Together

    By closely integrating community feedback and addressing technical challenges head-on, we’ve improved SkateConnect’s performance, usability, and reliability significantly. From direct messaging to universal linking, every enhancement was built to keep skaters connected, empowered, and informed.

    Stay tuned for Part 3—coming soon! 🚀

    Profile photo of Konstantin Yurchenko, Jr.

    Konstantin Yurchenko, Jr.

    Last edit
    5 days ago
    Published on