Accounts like these: - https://x.com/Meer_AIIT - https://x.com/CuriousCatsAI - etc. Print passive income by just tweeting headlines and sharing news on X. Well, what if there was a way to do that with AI? Introducing: The X Engagement Farmer Simply enter your n8n webhook URL after adding your credentials, activate your workflow, and you're good to go! The JSON for the workflow is attached to this post, along with an example AI-generated post from a similar automation that got me the most traction I've ever seen on my X page.

I’m currently working on a project called Smart Concert Experience Platform, which focuses on improving navigation, safety, and real-time assistance for attendees at large live events using QR-based access and intelligent routing. The idea is to help people easily find gates, washrooms, food stalls, and exits, while also supporting emergency guidance and offline usability in crowded venues. Core Features QR-Based Access: Allows users to instantly initialize event and venue context by scanning a QR code at the concert location. Intelligent Navigation: Provides shortest-path guidance within the venue using graph-based routing algorithms. Crowd-Aware Routing: Dynamically suggests routes that avoid simulated high-density areas to improve movement efficiency. Emergency Mode: Instantly guides users to the nearest safe exit during emergency situations using predefined evacuation paths. Offline Mode: Ensures core navigation and information access remain available without internet connectivity after QR initialization. Lost & Found Movement Tracking: Enables users to review their recent movement history to identify locations where they previously stopped or passed through. Value Add-Ons Micro-Notifications: Delivers location-based alerts and tips triggered by the user’s proximity to venue facilities. Multi-Language Assistant: Adapts the assistant’s responses to the user’s preferred language for improved accessibility. Future Scope Person-to-Person Sharing: Allows nearby users to share approximate locations with consent to help locate companions within the venue. Organizer Dashboard: A read-only interface that visualizes simulated attendee movement and crowd density across venue zones to support event monitoring and planning. I’d love to hear your thoughts, from a user, organizer, or tech perspective on how such a platform could be useful, what features you’d expect, or what challenges you see in real-world adoption. Open to feedback and ideas. Thanks in advance!

Hello Ritesh and fellow Wifi Life community members, My name is Michael and I am a young, highly passionate entrepreneur who has been immersed in the world of AI automation for the past several months. I have been following Ritesh's journey on YouTube for some time, and the focus on building tangible, revenue-generating AI systems has been a massive catalyst for my own research. I'm reaching out to this high-signal community for critical market validation. I believe I have identified genuinely painful, repetitive tasks across several industries, but as a newcomer to the AI automation market, I am seeking your expert perspective on the commercial viability and best point of entry. I have compiled a detailed breakdown of problem/solution pairings based on deep-dive research into industry-specific forums (a snapshot of which I've attached). My focus has been on finding proven friction points that are ripe for sophisticated, full-stack AI/Agentic solutions, rather than simple Zapier/Make-level workflows. A Snapshot of the Validated Workflows (Research Context): 1. E-commerce (Multi-Channel Operations): We found significant and repetitive frustration around the manual effort required for multi-channel listing and inventory sync. This is tedious and error-prone when managing product catalogs across platforms like Shopify, Amazon, and eBay. 2. Real Estate (Lead Conversion): There is a clear market need for personalized lead-nurture systems. Many agents generate leads but lose opportunities due to generic, templated drip campaigns that prospects ignore. The agents who win are the ones with "strong follow up systems". My Core Questions to the Community: - Market Viability: Of the identified industries (E-commerce, Real Estate, Healthcare, etc. - see attached PDF), which one does this community believe is most underserved right now regarding truly scalable, agenticv AI solutions? - Execution Strategy: Based on your experience, should I focus on an AI-powered B2B SaaS product from the outset, or is the agency model still the best path to quickly validate the market's willingness to pay for these specific solutions?

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