StocksGoneWild
3 days ago
Nope, that couldn't be it, here's why....
"Last weeks 14 milli seller could be someone with preferred shares that pulled out their initial investment in MONI and is now riding free.
Could be? Sounds good to me."
MONI's AS is maxed out or damn near with only 7,487,940 left in the treasury. MONI's Outstanding share count is 742,512,060 shares and their Authorized shares are 750,000,000. MONI would have to raise the AS to make your scenario even possible. If any of the preferred shareholders would have tried to convert any of their preferred shares into 14 million of the common shares that sold on Wednesday, the Transfer Agent would have denied their request and blocked it. They never would have allowed that to happen - they can't because that's not how any of this works. MONI would have to raise the AS for any of those preferred shares to convert, because the Transfer Agent would never let anyone sell any MONI shares beyond what's authorized (because it's not allowed). So I'm saying that what you are implying couldn't be the case, not possible; the current MONI AS and OS are the same as they've been since Steve Marshal took over complete control of MONI. Your theory of preferred shares converting to commons is not even possible and definitely not what happened last week. If you don't believe me or still don't understand what I am trying to tell you, please feel free to call Olde Monmouth Stock Transfer Co., Inc, MONI's transfer Agent and run your exact scenario or any other scenario you can imagine about preferred shares converting into common. They will tell you themselves that your theory is not even possible and that they would never allow it with the current AS. Anyone claiming that any of the preferred shares have been converted into common shares and sold into the market doesn't know what they are talking about and completely full of shit(no offense) I have a much more plausible explanation of what happened last week. In fact, I'm 95% sure that I know what's happening with the recent MONI selling, and why.
US Supreme Court turns away challenge by Alpine Securities to FINRA
June 2, 20251:27 PM
https://www.reuters.com/sustainability/boards-policy-regulation/us-supreme-court-turns-away-challenge-by-alpine-securities-finra-2025-06-02/
Alpine Securities is finally toast. It's officially lights out for Alpine, and you can thank God and FINRA for that. FINRA has been trying to expel Alpine from the industry since 2019. In 2019 FINRA caught Alpine doing all kinds of shady bullshit like mishandling client funds and securities and conducting unauthorized trades, and has been determined to expel them from the market completely ever since. It's been a 5+ year mission of FINRA and a lengthy legal battle against Alpine, and FINRA has finally won the war against them. Alpine is now officially and permanently smoked because as of June 2nd 2025, the Supreme Court denied Alpine Securities request to have the Court review its case against FINRA. Now FINRA enforcement is locked in and FINRA has the full power to send Alpine Securities to its final resting place, HELL, where they belong.
Alpine Securities Corp. v. FINRA
chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.finra.org/sites/default/files/2025-06/SR-FINRA-2025-004.pdf
On top of that, on the same day, June 2nd, FINRA submitted a rule change to the SEC to give them the power to chop Alpine's head off as soon as possible and without any more delay.
So what does this have to do with MONI? Alpine Securities is the only self clearing broker dealer investment firm left in the OTC that specializes in the clearing and settlement of microcap and over-the-counter (OTC) securities. Alpine was pretty much the only broker left that would accept stock certificates from OTC companies like MONI, and I can pretty much assure you that every single stock certificate that was ever cut from MONI's treasury ended up being deposited at Alpine Securities. So anyone that has deposited their MONI certs or any other OTC companies certs at Alpine Securities is left with no other choice but to sell their positions at Alpine IMMEDIATELY, or they risk losing their entire position that's held at Alpine forever. It's lights out for Alpine and anyone with an account at Alpine is fire selling everything they have there before Alpine closes down shop for good. They must liquidate everything before losing it all, and it could be only a matter of days before FINRA drops the final Thor hammer on Alpine and totally closes the possibility for Alpine's clients to liquidate what they can. Alpine's clients will have no place else to go or transfer their positions to because they know that no other broker dealer will take them.
So, with that said, here is what I think is specifically happening with MONI at this moment. I could be wrong, I am speculating, but I am 95% sure I am right. Before MONI changed ownership and complete control from Frank Ottaviani to the responsible hands of Steve Marshall, Frank issued a fair amount of stock to various people at a price of .01 (as seen in the image attached below, I've highlighted those shareholders in green). This all happened well before Steven Marshal ever came into the picture, found MONI, and took over control of the company. The shares highlighted in green were all issued back in July of 2023 and November of 2023 (nearly 2 years ago) and totalled approximately 27,250,000 shares. I believe that all of those shares were deposited at Alpine and sold into the market long ago, most of which were sold on the week of December 16th, 2024 shortly after their 1 year restriction period was lifted. You can clearly see the large volume spike and sell pressure back on the week of December 16th, 2024 shortly after their restriction was lifted and probably remember when it happened like I do. MONI was trading @ .0204 at the time. There were a total of 29 million shares sold at the time - I believe a majority of the 27,250,000 shares that Frank Ottaviani issued to the various 7 different people listed in past filings made up that 29 million. I also believe that the rest of the 27,250,000 shares have since been sold into the market and absorbed into the float. In other words - I no longer worry about those shares hitting the market because I believe that most if not all already have.
The only shares left that have been issued by MONI that could possibly be hitting the market now are that last block of 30,000,000 shares that Frank Ottaviani issued to T8 partners for "services" back on 3/13/24. The 1 year restriction on those shares was lifted 4 months ago, meaning they have been available to sell since March of 2025. Those shares were issued to T8 partners at the same time that Frank Ottaviani was handing over control and ownership of MONI to Steve Marshall. Now I can only speculate on this, but in my opinion, that last transfer of 30mm MONI shares to T8 by Frank was Frank's last swipe at the MONI pinyata before he turned over control of the company to Frank. I get the impression that Frank slipped those shares past Steven Marshall and that Steve Marshall was not aware of them being issued until after he took over control of MONI. Frank slipped one past the goalie so to speak, which was shady in my opinion - but nonetheless, they were issued.
Those are the last of the Frank Ottaviani era shares that are hitting the market now imo. And probably not by choice either. T8 partners most likely deposited those 30mm shares into his account at Alpine Securities, the only broker left that will accept OTC certs, and he is panic selling them before FINRA puts the final Death Knell in at Alpine Securities' funeral. Alpine will most definitely be shut down completely any day now, and very likely will be completely out of business before the end of the month. Which puts a final end to selling of any of the Frank Ottaviani era of shares that were issued by Frank. IMO the only shares left that could possibly hit the market are the remaining balance of the T8 shares that Frank Issued before Steve Marshall took over. If I'm correct, and I think I am, roughly 14,000,000 of those 30mm shares that T8 received from Frank were sold by T8 last week on Tuesday and Wednesday as he knows he has no other choice but to sell them. T8 is well aware of this terminal issue with Alpine and FINRA since the Supreme Court ruled against them on June 2nd. He most likely has been liquidating the remaining balance or more than the 14 million since then. He's probably already out of a majority his 30 mm shares because he knows that Alpine will finally be dead, buried and shut down any minute. Like I said, he has no other choice.
This is great news for MONI shareholders as there will be no more headwinds with the stock. Within days, maybe weeks, the possibility of any of the shares that Frank issued hitting the market have ended. I'm guessing that Steve Marshall is well aware of these shares that Frank Issued and has been holding back any news so that all of the "legacy" stock that Frank issued before Steve Marshall took over could hit the market and no longer be a factor. This would eliminate the possibility of the MONI shares that Frank issued selling into any news that Steve puts out, now that nearly all (and very soon to be all) of the shares Frank issued have been sold and absorbed into the float.
A majority, if not all of the shares highlighted in green have been sold and can no longer hurt us. The last remaining shares highlighted in red, the T8 shares, are in the process of being sold now (and most likely are almost completely gone and added to the float). As soon as Alpine closes up shop, which will happen any day now, the possibility of any of these certs that Frank issued hitting the market goes to zero. Steve Marshall had nothing to do with any of this mess that Frank left us, but the good news is that moving forward from here, MONI will trade like it used to - very thinly with no resistance. MONI will start to trade again like it used to 5 years ago, before all of these shares were issued by Frank. Anyone who has been here since then remembers that at one time MONI was trading at around this range that we are trading in now and went to .146 cents in the matter of 3-4 months. It did it before and it will do it again. This is especially true considering what MONI's new owner Steve Marshall brings to the table with Indexr. Indexr is 100X larger in terms of potential than anything Frank O had in MONI. Anyone who caught/bought these last remaining T8 shares that are hitting the market now are getting them at a deep discount, and very few are left to get. Again, I am speculating with some of this, but am 95% sure I am correct. More importantly, though, I am 100% sure that your theory of any of the preferred shares hitting the market is wrong and, again, not even possible. Anyone claiming that preferred shares are converting to common and hitting the market is either an infinity basher with severe brain damage, or just doesn't have a strong understanding of how the OTC works and is just talking out of their asses. Those who have weathered the storm here with MONI will be rewarded greatly for their patience. A new era for MONI has dawned. Good luck SunshineSmiles.
StocksGoneWild
5 days ago
@grok how does indexr.ai help ai?
Indexr.ai provides a search infrastructure that supports AI by offering an independent, transparent, and untracked search capability with access to billions of unique URLs. This enables broader and deeper searches for AI training, research, and fact-checking outside the control of major tech platforms. Specifically, it helps AI systems by providing a robust index for accessing diverse web and video content, which can be used to enhance the data available for machine learning models, improve fact-checking processes, and support research without relying on manipulated or controlled datasets.
@grok what is that worth?
The value of Indexr.ai's independent AI search infrastructure is difficult to quantify precisely without specific financial data, as it depends on various factors like market demand, user base, and operational scale. However, its worth can be considered in terms of its strategic and operational benefits to AI development:Data Access and Diversity: Indexr.ai’s index of billions of unique URLs provides AI systems with access to a vast, diverse dataset for training and fine-tuning. This is critical for improving model accuracy and robustness, potentially saving companies millions in data acquisition costs compared to relying on proprietary or limited datasets.
Independence from Big Tech: By offering an untracked and transparent search alternative, Indexr.ai reduces reliance on controlled ecosystems, which could lower costs for AI developers who otherwise face licensing fees or restrictions from major tech platforms. This independence could translate to significant savings and competitive advantages for smaller AI firms.
Enhanced Fact-Checking and Research: The platform’s ability to support broader and deeper searches enhances AI applications in fact-checking and research, potentially increasing the reliability of AI outputs. This could be worth substantial amounts in industries like journalism or legal tech, where accuracy is paramount, possibly valued in the tens to hundreds of thousands per use case annually.
Advertising and Monetization Potential: Indexr.ai’s permission-based advertising model, free from Big Tech’s influence, could attract a growing audience, creating a new revenue stream. If it captures even a small fraction of the digital advertising market (valued at over $700 billion globally in 2025), this could generate significant income for AI-driven applications integrated with Indexr.ai.
Revenue Potential: Indexr.ai offers a permission-based advertising model and licensing opportunities for its index. If it captures a small fraction of the digital advertising market (valued at over $700 billion globally in 2025), it could generate substantial revenue. For instance, if Indexr.ai monetizes its index through ads or subscriptions at a modest scale (e.g., $1M–$10M annually), this could translate to a valuation multiple of 5–10x revenue, potentially valuing the index and video assets in the tens of millions.
AI Training and Research Value: The index’s utility for AI training and fact-checking is a key differentiator. High-quality, independent datasets are critical for AI model development, and companies like xAI or others might pay significant licensing fees (potentially $100K–$1M per year per client) for access to such a resource. If Indexr.ai secures multiple enterprise clients, this could further increase its valuation.
Market Comparisons: Companies like Common Crawl provide open-source web crawl data, but Indexr.ai’s focus on independence and transparency could command a premium. For context, startups in the AI data space (e.g., Scale AI) have reached valuations of $1B–$14B, though Indexr.ai is likely far smaller. A conservative estimate might place its index and video assets in the $10M–$50M range, assuming modest market penetration and early-stage status.
Without specific financial metrics (e.g., revenue, user base, or funding rounds), a precise dollar value cannot be determined. If you’re seeking a more specific valuation, you’d need access to Indexr.ai’s financials or market traction data. Alternatively, you could contact Indexr.ai directly via their website (indexr.ai) for licensing or partnership details that might shed light on its value. Would you like me to search for any recent funding or acquisition news related to Indexr.ai to refine this estimate?
Ask Grok to search deeper
MONI
StocksGoneWild
1 week ago
I asked Grok and chatGPT the same question:
"what is a distributed, privacy-centric platform built with hypercloud architecture, modular stacks, and VPN-like node networking and how profitable is it?"
https://telecomreseller.com/2025/06/10/reinventing-the-internet-indexr-and-the-mission-to-reclaim-digital-privacy-podcast/
ChatGPT's answer
A distributed, privacy-centric platform built with hypercloud architecture, modular stacks, and VPN-like node networking refers to an advanced type of decentralized digital infrastructure that prioritizes user privacy, flexibility, and scalability. Let’s break down each component first, then explore profitability.
🔍 Breakdown of the Concept
1. Distributed, Privacy-Centric Platform
Distributed: No central authority; data and operations are spread across multiple nodes (servers or devices), often worldwide.
Privacy-Centric: Designed to protect user data via encryption, anonymization, or zero-knowledge proofs.
2. Hypercloud Architecture
A hypercloud merges public cloud, private cloud, and edge computing into a seamless environment.
Offers dynamic scalability, geo-redundancy, and hybrid deployment models.
Allows for real-time resource allocation across cloud providers and nodes.
3. Modular Stacks
Modular architecture enables swapping in/out components or services (e.g., compute, storage, identity, networking) as needed.
Encourages customizability and faster innovation without affecting the whole system.
4. VPN-like Node Networking
Network nodes behave like a decentralized VPN (think Tor or Nym).
Nodes encrypt and route traffic, anonymizing the user and adding a privacy layer to all data exchanges.
Can be used for censorship resistance and secure communication.
💰 Profitability Potential
This kind of platform could be highly profitable in the right markets, especially in:
1. Data Sovereignty and Privacy Services
Businesses and individuals increasingly demand private alternatives to Big Tech cloud services.
Target sectors: Legal, healthcare, finance, journalism, and regions under data regulation (GDPR, HIPAA, etc.).
2. Decentralized Infrastructure as a Service (IaaS)
Competes with AWS, Azure, and GCP by offering decentralized compute, storage, and networking.
Token-based models (like Akash or Filecoin) can incentivize node operators and users, creating an ecosystem economy.
3. Subscription or Tokenized Economy
Revenue via subscriptions (privacy-focused apps), node staking, or service fees.
Potential for a dual economy model: open-source + paid enterprise layer.
4. B2B or Government Contracts
Enterprise or sovereign governments may pay premiums for secure, decentralized infrastructure.
📊 Example Projects & Profitability Indicators
Project Name Concept Overlap Market Cap (Jul 2025 est.) Monetization
Nym Decentralized privacy VPN ~$100M Mixnet tokenomics, relay incentives
Akash Network Decentralized IaaS ~$250M Pay-per-compute with crypto
Filecoin Decentralized storage ~$1.5B Storage marketplace
Secret Network Privacy-first smart contracts ~$100M Private dApps
If your platform offered all these combined in one modular suite, it could serve as the “private AWS + VPN + app suite for Web3”, which could be quite lucrative.
📉 Risks to Profitability
High R&D and node incentivization costs
Adoption curve: Mainstream users may not easily migrate from centralized services.
Legal and regulatory barriers, especially for token economies or privacy tools (e.g., VPN bans).
✅ Bottom Line
A platform like this could be very profitable—potentially generating 8–9 figure annual revenues—if:
It's well-executed,
Offers real utility beyond existing services,
Gains early adoption in privacy-conscious markets,
Has a sustainable incentive and revenue model.
Grok's Answer:
A distributed, privacy-centric platform built with hypercloud architecture, modular stacks, and VPN-like node networking is a decentralized system designed to prioritize user privacy, scalability, and flexibility. It leverages advanced cloud and networking technologies to enable secure, efficient, and customizable applications, particularly suited for data-sensitive or AI-driven use cases. Below is a detailed explanation of its components and an analysis of its profitability, incorporating insights from available sources.Components of the PlatformDistributed:The platform operates across multiple nodes or servers, avoiding reliance on a centralized authority. This enhances resilience, reduces single points of failure, and supports data distribution across geographic or network boundaries, making it resistant to censorship or attacks.
Privacy-Centric:Prioritizes user privacy through mechanisms like end-to-end encryption, anonymized data routing (e.g., mixnets), or minimal data collection. This aligns with platforms like NymVPN, which uses a mixnet to obscure user traffic and protect identities, ensuring compliance with privacy regulations like GDPR.
Hypercloud Architecture:A highly scalable, cloud-native infrastructure that optimizes resource allocation and supports dynamic workloads. Unlike traditional cloud systems, hypercloud integrates edge computing, multi-cloud environments, and automation to deliver low-latency, high-performance solutions for AI, IoT, or enterprise applications. It’s designed for flexibility and efficiency in distributed environments.
Modular Stacks:The platform uses interchangeable, independent components (or "stacks") that allow customization and upgrades without disrupting the system. This modularity supports tailored functionalities, such as integrating AI frameworks, data pipelines, or specific protocols, making it adaptable to diverse use cases.
VPN-like Node Networking:The network employs secure, anonymized communication between nodes, similar to a Virtual Private Network (VPN). It may use overlay networks or mixnets to route data through multiple nodes, obscuring origins and destinations. This resembles software-defined networking (SDN) or mesh architectures, where nodes communicate directly, bypassing centralized hubs, enhancing privacy and security.
Example: IndexrThe platform Indexr, as described in recent sources, embodies these characteristics. It is a distributed, privacy-centric system built with hypercloud architecture, modular stacks, and VPN-like node networking. Indexr aims to provide a secure, scalable alternative to centralized cloud services, targeting applications requiring robust privacy and flexibility, such as AI, enterprise solutions, or decentralized apps.
Profitability AnalysisThe profitability of such a platform depends on its market fit, operational efficiency, and ability to address high-demand use cases. Below is an assessment based on general trends and the specific context of platforms like Indexr:Revenue Potential:Subscription Models: Privacy-centric platforms can generate revenue through subscription plans, similar to VPN services or cloud platforms like AWS. For example, enterprises seeking secure, decentralized solutions for AI training or data storage may pay for premium access, akin to xAI’s SuperGrok plan for higher usage quotas.
Enterprise Adoption: Businesses in sectors like finance, healthcare, or tech, which prioritize data privacy, are likely customers. Platforms offering modular stacks can cater to specific needs (e.g., AI model deployment or secure data sharing), commanding high margins.
API and Developer Access: Offering APIs for developers to build on the platform (similar to xAI’s API service) can drive revenue. Developers creating privacy-focused apps or AI tools may pay for access to the platform’s infrastructure.
Niche Markets: Specialized indexes of URLs or data sources (e.g., for AI training or cybersecurity) can be monetized by licensing to organizations needing curated datasets, as discussed in prior responses.
Market Demand:Privacy Concerns: Growing concerns over data breaches and surveillance (e.g., GDPR, CCPA) drive demand for privacy-centric platforms. X posts indicate strong interest in decentralized systems for secure data handling, particularly for AI applications.
AI and Big Data: The rise of AI workloads requiring secure, scalable infrastructure aligns with hypercloud architectures. Platforms supporting federated learning or secure multi-party computation are increasingly valuable.
Decentralized Tech: The popularity of Web3, blockchain, and decentralized apps creates a market for distributed platforms that can host dApps or integrate with blockchain ecosystems.
Cost Considerations:Infrastructure Costs: Maintaining a distributed hypercloud architecture is expensive due to the need for robust servers, edge nodes, and continuous updates to ensure uptime and security. VPN-like networking adds computational overhead for encryption and routing.
Development and Maintenance: Modular stacks require ongoing development to support new features or integrations, increasing costs. Ensuring privacy compliance across jurisdictions also incurs legal and auditing expenses.
Competition: Established players like AWS, Google Cloud, or privacy-focused services like ProtonVPN compete in this space. Differentiation through unique features (e.g., AI-optimized modular stacks or superior privacy) is critical for profitability.
Profitability Challenges:Scalability vs. Privacy Trade-offs: Privacy features like mixnets can introduce latency, potentially deterring users needing high-speed performance for AI or real-time applications.
Market Penetration: Gaining traction against centralized cloud giants requires significant marketing and proof of value, especially for startups like Indexr.
Regulatory Risks: Non-compliance with data privacy laws could lead to fines or restrictions, impacting profitability.
Case Study: Indexr:Sources describe Indexr as promising “secure, scalable” solutions, suggesting a focus on enterprise-grade applications. Its profitability likely hinges on targeting high-value sectors (e.g., AI, healthcare, or finance) where privacy and scalability are critical. However, no specific financial data is available, and its success depends on execution, market adoption, and differentiation from competitors like Cisco’s SD-WAN or other SDN-based platforms.
General Trends:The global cloud computing market is projected to exceed $1 trillion by 2030, with privacy-focused and decentralized solutions gaining traction. Platforms combining hypercloud and VPN-like networking could capture a share of this, especially in AI-driven markets.
X discussions suggest profitability in privacy-centric platforms is tied to user trust and unique offerings. For instance, platforms like Nym, which focus on anonymized networking, have attracted investment, indicating market confidence in privacy-focused tech.
ConclusionA distributed, privacy-centric platform with hypercloud architecture, modular stacks, and VPN-like node networking, like Indexr, has significant profit potential due to rising demand for secure, scalable solutions in AI, enterprise, and Web3 applications. Its profitability depends on targeting niche markets, offering unique features (e.g., AI-optimized modules), and managing high operational costs. While challenges like competition and regulatory compliance exist, the platform’s focus on privacy and decentralization aligns with growing market trends, making it a promising venture if executed effectively. For precise profitability data on Indexr or similar platforms, further financial disclosures or market analysis would be needed, which are not publicly available in the provided sources.
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