Our experience working with NEAR Protocol & Test ...... 🤯 Professional team with ability to execute! VSL with NEAR DA ... 📉 Avg. txn fee consistently below 0.00003 $RSS3 🤖 Higher throughput to scale AI, Search & Social DApps 🔗 Full Interview:show more

Introducing HashMine Crypto Mining | Accessible To Everyone ⭐️74%... APY 💰Earn Passive $BTC $HASHAI is proud to announce #HashMine, a real-world asset (#RWA) protocol offering up to 74% APY through fractionalised ownership of high-performance S19-XP Bitcoin miners, with further models to be released in the near future. Unlike other providers, we own and operate 100% of our mining hardware. Allowing us to provide higher yields to HashMine investors. Why HashMine?: ✅ Full Infrastructure Ownership: Eliminating Unnecessary Overheads and Reliance on Third-Parties ✅ Hosted in a Purpose-Built Facility in the UAE, for Maximum Efficiency ✅ 24/7 Physical and Digital Security ✅ Superior Energy Rates ($0.06/kWh) ~28% Higher ROI: 📈 At $0.06/kWh: Enjoy up to 74% APY 📉 At $0.08/kWh: Others offer just 46% APY Own the Machines, Earn the Profit.show more

HUB IS BACK 🌀 Despite attempts to silence us,... the Cult lives on, thriving in the face of adversity. Here’s a breakdown of what happened and what comes next ⤵️ As previously shared by @zastrahub, the Hub 𝕏 account has been targeted by several malicious attacks, with a major one striking on March 15, which ultimately led to its suspension. In the midst of this uncertainty, the team was reactive enough to fight back on all fronts. • Deployed Hub AI Agent Training on Discord to continue feeding the data layer. • Managed relationships with creators and advertisers efficiently. • Identified the problem and communicated with the X team. After submitting our report to X, we successfully regained control of the Hub account. We appreciate the 𝕏 team’s cooperation and will continue working closely with them in the future. For now, the Hub AI Agent remains on Discord, with one question posted daily in the "AI Training" section. We're approaching 500,000 replies in under a week, feeding Hub’s Data Layer at full speed. Meanwhile, we’re working on the release of Hub AI V2: a major evolution that will introduce powerful new social mechanisms and take the experience to the next level. Entities tried to shut us down. They made us unstoppable. To everyone who supported us, rallied behind us, and kept the fire alive: thank you. You are the Cult. You are the movement. We’re just getting started ⚡️show more

Frameworks such as ai16zdao's Eliza and Virtuals Protocol have... been instrumental in early AI agent developments. Agent swarms working in hierarchy represents for many the next logical step in unlocking the vast potential of AI. Learn below how Shadō Network achieves this. AI agents launched through current popular platforms have individual personas, on-chain functions and access to data via various APIs. This being said, they operate in isolated environments, with a ceiling on emergent behaviour such as collaboration or competition. Shadō Network invites massive expansion for capabilities of both new and existing AI agents, with an open-source package easily integrated into popular frameworks that enables the launching of stratified agent swarms. Our website is live: The "Shadō Play" package provides a modular, configurable platform for creating or employing agents of choice in a swarm-like setup, opening a Pandora’s box of near infinite emergent agent behaviours, relationships and functionalities. Users will be able to make use of various prefab client integrations such as Twitter, Telegram, Ollama, and others to specify swarms to their needs or create their own extensions to enhance agent capabilities even further. Agents operate with a memory module and a HTN for autonomously deciding which interactions to act on, walking the line between autonomy and configurability. The Shadō Network project’s development is supported by our ghostly friend Omnipotent (👻,👻), an AI agent developed by the Shadō Network team trained on and fine tuned with a multitude of academic data related to artificial intelligence, blockchain, finance, software engineering, world building and more. Omnipotent serves as both an interactive steward for the project and as an asset - regularly scanning social platforms, websites and newsfeeds he is capable of providing the team project development advice, whilst also communicating with the wider world via his automated X account (launching soon). Shado Network is collaborative and open-sourced. Agentic Swarms require a developer swarm to maximize the technical capabilities and impact the greatest number of users. Our dedicated team of core contributors are active in other web3 AI repos and are here to guide project direction and foster growth. We’re facilitators, not gatekeepers... Alone we can go fast but together we can go far. A lot more to come soon. 👻show more

$KNDX 🤖 Theres 3 big narratives that are sending... coins left right and centre rn. 🚀 #AI, #Gamefi, & #NFTs 🔹Theres 50% mindshare for #AI. 🤖 🔹#GameFi mcap is hitting ATH's with #OfftheGrid, $XBG and $SUPER making spectacular moves. 🎮 🔹NFTs and the #Metaverse are making a strong comeback with $APE up 100% over the weekend. 🐵 What if there's a project that touches all these trending narratives with groundbreaking technology to disrupt all 3 of them? 🔥 💡- That's where $KNDX comes in. -💡 Kondux is a cutting-edge Web3 SaaS platform, combining NVIDIA’s Omniverse, AI, Blockchain, and dynamic NFTs to revolutionize secure asset management across industries. 👏 Their flagship product, kNFTs, are 3D digital assets usable across Metaverse and Gaming platforms, AR/VR/XR environments, and manufacturing applications. Kondux’s scalable model opens new revenue streams by enabling effective digital asset monetization. 💰 Kondux is the first Web3 project to integrate VFX pipelines with NVIDIA’s Omniverse and bringing it onto the Blockchain. ⛓️ It is also the only Web3 project with a *Select Status Partnership* with NVIDIA, operating under NVIDIA NDAs and working with them directly for more than 2 years. About their NVIDIA Integrations: 🤖 🔹There are three areas of the Kondux tech stack that coincide with three divisions of NVIDIA: 📡GDN (Graphics Delivery Network, the backbone of GeForce Now) 💡Omniverse for 3D aspects such as, geospatial data, real world physics, lighting, and raytracing 🤖NVIDIA AI Foundation, which covers many aspects of #AI, including inference and deployment scaling. The convergence of all these components lie within .USD file format . 🔹 They are the first blockchain project to integrate NVIDIA’s Omniverse Cloud and Graphics Delivery Network (GDN) to provide high-quality 3D content accessible on any device without requiring high-end hardware. 🔹 This setup streamlines content management, democratises access to resource-intensive 3D content, and enables real-time interaction with 3D NFTs. Now, I haven’t seen any crypto project so deeply connected with NVIDIA and NVIDIA technology. GDN is a HUGE competitive advantage. With it, the need for #GPU’s basically goes out the window. 🤯 Now lets take a look at some of the other main features... 👀 OpenUSD (Universal Scene Description): 📽️ 🔹 Kondux is leveraging USD technology, developed by Pixar and used by Meta, Apple, Microsoft and other industry leaders to enhance 3D graphics and interoperability within its creative ecosystem. 🔹 Originally created for high-end film production, USD now supports a variety of applications, including gaming and virtual reality, making it a key asset for Kondux. kNFT's: 🎨 🔹 Kondux is pioneering a new category of NFTs known as kNFTs, which aim to redefine NFT utility through innovative features. 🔹 A standout feature is the upgradeable aspect provided by Kondux DNA, allowing kNFTs to transform and combine with other NFTs, creating limitless possibilities in art, gaming, and music. 🔹Through the Kondux AI portal it will be possible to communicate with kNFTs. They can learn and adapt. This AI technology is revolutionary because it makes human to kNFT interaction possible, turning it into a unique, personalized experience. Check out the clip of kNFTs in Unreal Engine 5 gameplay below. 👇 Kondux is a very obvious utility play with huge upside because it’s multi narrative. 📈 It's seriously groundbreaking stuff that they’re about to launch. 🚀 After speaking with the team there’s no doubt in my mind this will do crazy big numbers in the next months. 🤑show more

Last year, he came across news about an accident... near Amarnath. A bus carrying pilgrims met with an accident due to brake failure. Several people were affected. That incident stayed with him and became a trigger for developing a patent pending fail-safe breaking mechanism. ----- I met Khaleel Syed at our ಮುಂದೆ ಬನ್ನಿ meetup in Hubballi in December. Like many others in the room, he listened quietly, asked a few questions, and stayed back after the sessions. A month later, when he explained what he had been building, I understood what confidence can unlock in tier 2 India. Khaleel is from Gadag and studies at KLETU Hubballi. He is pursuing a combined BCA and MCA degree. He is deeply interested in the automotive domain. His father has worked in the automotive field for several years, including time in Saudi. Growing up around that environment, Khaleel always felt that he should do something meaningful in this space. Last year, he came across news about an accident near Amarnath. A bus carrying pilgrims met with an accident due to brake failure. Several people were affected. That incident stayed with him. He and his father started thinking seriously about whether something could be done to address this problem. They began experimenting on their own. Over time, they designed, fabricated, mounted, and tested an apparatus that could act as a fail safe braking mechanism. They developed a system that could be mounted onto the rear axle shaft. In case of brake failure, the driver can press a button placed near the driver’s seat. Once activated, the vehicle comes to a gradual halt within about 10 to 12 seconds. There is no jerk. The stopping is smooth, ensuring the vehicle does not topple or lose control. The system also automatically switches on the hazard lights, alerting other vehicles that something is wrong. To test this properly, they even bought an old Tata Ace truck using their own money. They modified it to install the apparatus and tested it under multiple conditions, both with and without load. The Tata Ace normally carries about 750 kg, but they also tested it with close to 1 tonne of load. The system worked well in all scenarios. Within about 8-9 months, Khaleel and his father took this from idea to a working prototype. With the help of KLETU, Khaleel has applied for a patent. The EIR hearing is already done, and he is hopeful about the next steps. What made me really happy was not just the technical achievement. Khaleel told me that he got the confidence to reach out to me only because of the Hubballi meetup. Because everything was discussed in Kannada, he felt that a small town boy like him could also think big. He felt that his ideas were valid and worth pursuing. He reached out to seek help in connecting with OEMs and others who could support him in commercialising this idea and taking it further through professional testing and industry adoption. If this idea eventually gets adopted at scale, it could make heavy commercial vehicles and buses more fail safe, reduce emissions, and possibly save lives. If anyone reading this knows people who can help Khaleel take this forward and turn this into a real world product, please reach out to me. This, to me, is exactly why #MundheBanni exists.show more

I'M LOOKING FOR A TECHNICAL PARTNER I'm looking for... a coding wizard to help me build software (and to bounce ideas with). The deal is simple: you build / I distribute You do all technical work. I do all marketing, distribution, customer research. What I bring to the table: • deep expertise in social media marketing/distribution/email marketing/copywriting • total audience of 160k + 42k newsletter (that's a lot of eyeballs ready to see what we build) • big network of creators we can use to co-market • experience building media companies from scratch • sold over 7 figs worth of products to an audience before I deeply care about product so I'll be involved in everything but the coding side. I will document our journey with build in public content (X, LinkedIn, YouTube). You don't need to be part of the content if you don't want to, I'll gladly be the dancing monkey. What I AM looking for: • Full stack (at least to certain extent to get decent MVPs out there) • high agency, high creativity and product sense< • you've made money with your software before • a love for cash-flow • you love homemade goulash as much as I do (well, this one is not set in stone) • someone to share shitposts and memes with (you can't compete with someone who's having fun, I deeply believe this) • someone who is obsessed with building something that people LOVE instead of just use • someone who wants to build something to be really proud of What I'm NOT looking for: • ideas that need VC funding to get started • 2 years of building before we see a dollar • someone who started coding 12 months ago • someone running 3 other side projects • someone addicted to call-culture I'm not 100% certain on the idea yet. We'll figure this out together by testing demand with an audience. We'll probably test a few ideas quickly before going all-in on whatever gets the best signal from the market. Areas I find interesting right now: • AI enhanced-B2B content/GTM/marketing tools • Financial market analytics/consumer finance • Gamified health/longevity apps (probably mobile) Building and creativity is a way of life for me. It goes far beyond the money-creation part of work. I love bringing things into the world. Best case it's similar for you. We'll shoot the shit a lot, send memes, and have fun while working hard on whatever we build. There's also an option to do this on a salary instead of a split I'm open to both. Answer a few quick questions in the form below (next post) I will reach out to people that seem like a good fit. Please tag people who might be interested. RT for visibility so your coding genius friends can build something awesome with me!show more

Audit Window Extension 📢 The audit window has been... extended, following activation of Hardfork v10 at block 511000. 🗓️ ETA for window opening: ~52 hours ➡️ Download Link: This extension has been granted to ensure that critical services and partners who support the Zephyr ecosystem have been able to get all their assets audited successfully. Some exchange entities are handling large volumes of user funds, which has made the process more complex than for typical users. We are working with them to ensure this gets done as efficiently as possible. While the delay is frustrating, it is necessary to protect the interests of Zephyr holders. ⌛️ This grace period is limited - once all audits are confirmed, we’ll move swiftly to push Hardfork v11, completing the transition to the audited supply and restoring full protocol functionality. 🔍 Based on current data, the estimated circulating supply of ZEPH will come in at ~9.5M, (higher than the currently reported supply of ~7.4M). While not ideal, this is manageable. The audit gives us total clarity into the true state of supply. In response, we’re considering adjustments to the emission schedule to reflect this updated supply. Effectively, the Protocol will be operating ~1 year ahead of schedule from the original emission curve. We are still far below the 18.4M Max supply of ZEPH (before tail emission), and this will not impact the long-term tokenomics. Final decisions are pending, our focus remains on long-term sustainability and clarity. We appreciate your patience and support as we wrap up this crucial phase. Follow along for more updates. — The Zephyr Teamshow more

As we prepare to launch several projects, we're eager... to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.show more

🧵 AppLovin is now open to ALL DTC brands.... If you're spending $50K+/mo on Meta, you need to read this. Here's why AppLovin is different (and why brands are seeing better ROI than Meta) 👇 What AppLovin actually is: Full-screen video ads in mobile games. Not a feed. Not a search result. 100% of the user's attention for 35+ seconds minimum. The targeting is AI-powered and actually works: No demographic targeting. No interests. It predicts who will convert based on behavior patterns across millions of data points. Sounds sketchy? It's not. Brands are seeing 2-4x ROAS consistently. Attribution is cleaner than Meta: Click-only. No view-through confusion. 80% of purchases happen within 24 hours. D0 and D7 reporting built in. Real results we've seen: - $1.2M in revenue in 6 weeks (beauty brand) - Became #1 traffic source in <30 days (apparel) - Outperformed Meta ROI in multiple tests (supplements) Today it opened to everyone. Which means everyone will be promoting it. Here's what we're giving to brands that use our code: - Personal intro to top reps - $5K ad credits - Complete launch playbook - Winning creative library - Video strategy guides Why use our code vs. someone else's? We've already helped 20+ brands launch and scale. We know what works (and what doesn't). We built the resources we wish existed when we started. Comment "First" and I'll DM you a link to the complete resource guide shown below + a code to get $5K in ad credits with qualifying spend (must be following). First-mover advantage is real here. Don't wait until Q4 when inventory gets expensive.show more

This is my "feel the AGI" moment: I used... GPT-5.6 Sol to train my own autocorrect model that outperforms GPT-5.6 Sol (wtf??) I have no ML background. I have no idea what I'm doing. I just kept pushing Sol until it spat out a SOTA model. And I spent $0. The motivation: Years of talking to AI have made me terrible at typing. Rather than fix my skill issue, I decided to throw more AI at it. My idea was: instead of autocorrect that interrupts my flow, I want to type fast with mistakes and have AI clean it up after. I wanted the smallest local model possible, for speed, for battery life, for science! So I decided to train my own. Inspired by Andrej Karpathy’s autoresearch, I ran Codex /goal with this setup: pick an experiment, try it, record the results to a doc, throw it out if it fails, and plan the next experiment without repeating failures. I gave a few examples that had to pass, tight latency targets, and let it run. Sol did some amazing things. First, it scanned benchmarks and shortlisted base models: Qwen 3.5, Gemma 4, Liquid LFM 2.5. It found a dataset on HuggingFace for typed text. Then it built a simulator for fingers striking a Mac keyboard, modeling the physical layout with a Gaussian distribution around each key. It simulated striking the wrong key, wrong order, fat-fingering, etc. With the models + data + simulator, it fine-tuned using MLX right on my MacBook. It had a working prototype within an hour! But accuracy was pretty poor. — Problem 1: Tokenization Sol read papers, ran tests, and identified that the tokenizer was the bottleneck. Tokenization makes typos hard for the model to see, so it memorizes mappings instead of using its language priors. Sol tried ByT5, Google’s tokenizer-free byte-level LLM. This made a big improvement, but the model is old and lacked the knowledge needed to reach Sol performance. Sol dug deeper and realized a tokenizer-free model isn’t needed; instead, it used T5Gemma, an encoder-decoder model. This can understand the input deeply before producing output, and furthermore, Sol could post-train the encoder to improve performance. This gave a much higher ceiling. — Problem 2: Loss function Now the model was correcting some typos perfectly, but ignoring most. Sol realized that standard cross-entropy loss was teaching the model to avoid edits, because the vast majority of characters in the training data were left unmodified. The fix was wild: Sol wrote a custom loss function that byte-aligns the source and target strings, uses a dynamic programming algorithm to compute the minimum edits between the two, then weights correct edits much higher than copies. After a lot of tuning, this dramatically improved accuracy. — Problem 3: Autoregression One failure mode remained: if the model made a mistake, it couldn’t backtrack. It could only predict the next token. Teaching it to “think” like a reasoning model would solve this, but would be far too slow. Sol found a beautiful solution: instead of greedily predicting the next token, beam search over all possibilities. This parallelizes the exploration instead of one linear chain-of-thought. At the end, choose the path with highest cumulative log probability. This worked great, but made the experience worse, since the user wouldn’t see progress until the whole search was done. To fix this, Sol made a clever observation: after each search step, the longest common prefix among surviving branches is guaranteed to appear in the final result, so it can be displayed immediately. As the search progresses, weaker paths are dropped and the prefix grows, so the user sees continuous progress. Sol built all this as a custom MLX pipeline that does the parallel decoding on the MacBook GPU, with just ~40ms TTFT. It’s crazy fast and entirely local. — Final eval (error reduction rate, higher is better): - Apple autocorrect: 49.66% - GPT-5.6 Luna: 82.47% - GPT-5.6 Terra: 87.64% - GPT-5.6 Sol: 90.56% - Our model (1.7B): 91.02% Final cost: - 1 quota reset (thanks Tibo) - $0 (And yes, I verified there's no cheating. In fact, we test words scrubbed from the training data to prove the model isn’t memorizing) There were a ton more details and tangents I could write about: contrastive learning, GRPO, DPO, dynamic masking, and more. Sol is a fascinating and creative model. It blew my mind so many times. Don’t let a lack of experience stop you: Sol makes AI experiments accessible to anyone!show more

🚨12 HOUR NEWS RECAP 1.⁠ Trump slammed the media... for asking about the Epstein coverup after AG Pam Bondi was asked why a minute was missing from the CCTV tape of his cell and if Epstein had worked for any intelligence agencies: “Are people still talking about this guy, this creep? That is unbelievable.” 2.⁠ Tucker warned that the Epstein coverup could spark a revolution: “How can you say thousands of children were raped, but I'm not gonna find out who raped them? I don't want a revolution, but if you wanted a revolution, this is how you would act.” 3.⁠ Flash flooding hit New Mexico as the Rio Ruidoso surged from 1.5 feet to over 20 feet in under an hour, sweeping homes away. At least 3 people have died in the flooding so far. 4.⁠ Ukraine faced the largest drone assault of the war - and possibly in history. According to Ukraine’s Air Force, Russia hit it with 728 drones and 13 missiles overnight. Of those, 296 were shot down and 415 jammed or lost to electronic warfare. 5.⁠ At least 3 people are dead after the Houthis sunk a Greek-operated cargo ship in the Red Sea. 5 crew members have been rescued so far, and a search is underway for the rest of the crew. 6.⁠ A wildfire sparked by a burning car has turned into a full-scale disaster in southern France - torching 720+ hectares, damaging homes, and choking Marseille under a blanket of smoke. 7.⁠ Tom Barrack, Trump's trusted envoy and ambassador to Turkey, warned that while Trump backs Lebanon with strength and clarity, that support won’t last forever. The option of protracted discussions, until after the country's elections in May 2026, isn't on the table. 8.⁠ A bridge collapsed near Vadodara, India, sending multiple vehicles plunging into the river below. The death toll has risen to 10, with rescue efforts still underway. 9.⁠ In a rare video appearance, jailed PKK founder Abdullah Ocalan has called for a full end to the group’s armed insurgency against Turkey. “The phase of armed struggle has ended,” he said, urging a shift to democratic politics and disarmament. 10.⁠ Russia is testing a new AI drone armed with thermal vision and onboard target selection. It flies without GPS, shrugs off jamming, and adapts to the battlefield in real time, selecting targets autonomously.show more

🚀 Introducing EgoExo Forge - built on top of... Rerun, Gradio, and Hugging Face hub (I’ll be in San Francisco July 21–29 — if you’re into robotics, egocentric AI, large-scale data collection, or just want to chat, DM me!) In my opinion, large-scale, diverse, and high-quality data is still the largest bottleneck for generalized robotics deployment. I believe that some version of imitation learning from human examples will be the most scalable + clean way to train humanoid robots 🤖 (similar to what Tesla did for Full Self Driving). Teleop is too expensive to collect a large enough dataset in a reasonable manner, so passive collection via egocentric (and in certain cases, exocentric) views feels like the right bet. Over the past few months, I've been trying to build out the scaffolding for this and using Rerun as my underlying infrastructure. Data being collected needs to be easily inspectable + time series and rerun provides the right tooling for this. My goal is to first build out a ground truth representative dataset from already existing open source data, generate some reasonable baselines, and then go out and collect my own data that adheres to the defined schema. 🔍 Starting with open-source datasets 1. EgoDex from Apple 2. HOCap from Nvidia and the University of Texas at Dallas 3. Assembly101 from Meta All these different datasets have different sensor configurations + annotations, so my goal with egoexo-forge is to have one consistent labeling scheme + data layout. I built a data pipeline that aligns all of the different datasets in one general schema assuming the COCO133 keypoint layout that allows for exo+ego, ego only, or exo only Since the scaffolding is already there, it becomes MUCH easier to add other datasets. So the next ones that I'll be including are HD-EPIC kitchens dataset, HOT3D, and finally my own personal iPhone + insta360 go collection method. Once I have a diverse variety of datasets, I'll double down on what I believe to be the key algorithms required to make useful data for imitation learning 📊 1. Camera Pose estimation via SLAM/SFM for ego perspective (and automatic calibration for exo) 2. Human pose estimation for both egocentric + exocentric views 3. Metric 3D reconstruction + object tracking I'll be setting up reasonable open-source baselines for each of these to validate that these datasets work, and then finally try to use the generated datasets for some imitation learning via the pi0-lerobot repo I've been working on. I plan on making a blog post + providing more info on all of this in the near future so stay tunedshow more

In 2025, demand for blockchain applications with genuine real-world... utility has collided with a technical barrier that leaves developers questioning what they can realistically build. Anyone building things like tokenized assets, supply chains, AI agents, or prediction markets still juggle a mess of middleware, and somehow end up spending more time stitching than innovating. How so? Every: - Bridges to move assets, - oracles to fetch data, - indexers to make that data searchable, - relayers and bots to keep everything on schedule— is necessary, but each layer also adds cost, latency, and new risks. The end result is an application that’s expensive to run, fragile under stress, and slower than the Web2 software it’s trying to replace. This is the problem Rialo says it wants to solve. Built by Subzero Labs and backed by $20 million from investors like Pantera Capital and Coinbase Ventures 🛡️, Rialo’s pitch is simple: instead of accepting the middleware tower as an unavoidable cost of doing business, compress it into the base chain itself. But Rialo doesn’t describe itself as another Layer 1, its very name, Rialo Isn’t a Layer One, makes that clear. The team frames it instead as a unified real-world network: a protocol rebuilt from the ground up with the assumption that external connectivity is not an afterthought but a core design principle. To understand what this means, consider how today’s dApps are typically assembled. A typical RWA dApp stack involves: - Oracle providers (Chainlink, Pyth, Band) for asset pricing and event settlement - Bridges (Wormhole, Multichain, custodians) for cross-chain asset movement - Indexers (The Graph, Aleph, Stacks API) for querying and preprocessing chain data - Schedulers/relayers for automated tasks and monitoring - Web2 integrations via cloud services, centralized APIs, and off-chain pipelines Each of these steps adds another vendor, another trust boundary, and another operational layer to monitor. By the time the application is live, it resembles a patchwork of loosely coupled services, each carrying its own risks. You don’t have to look far for proof: - Base went dark for 29-43 minutes in August 2025 when its sequencer misfired, freezing every DeFi app on it. - A few months earlier, an AWS outage rippled through Binance and KuCoin, stalling withdrawals because even “decentralized” systems leaned on centralized middleware. - When Infura has faltered, Ethereum dApps have gone offline in sync, not because Ethereum broke, but because the middleware holding it together did. What should feel like building an application instead feels like maintaining a fragile machine. Rialo architecture embeds the primitives that normally live in middleware directly into the protocol. Smart contracts on Rialo can: - be event-driven, able to respond not just to blockchain state changes but also to external events through built-in webhook and API triggers. - fetch data from the web natively, without relying on external oracles or relayers. - include privacy and identity management—KYC hooks and two-factor authentication, at the protocol level rather than as add-ons. - handle cross-chain communication without wrapped assets or third-party bridges. - run on a virtual machine that is compatible with ecosystems like Solana but extended with RISC-V to support modern programming concepts such as async/await and event loops. If these features work as intended, the implications are significant. Today, much of a team’s energy goes into building and maintaining infrastructure: fullnodes, indexers, monitoring scripts, oracle integrations, relayer logic, bridge infrastructure. Each requires engineering headcount and ongoing maintenance. With Rialo, much of this is absorbed by the protocol, freeing developers to concentrate on business logic. Projects can deliver production-grade dApps with smaller, leaner groups focused directly on product design and execution. Operational costs also shrink: indexing and oracle services can run into thousands of dollars a month; collapsing those into built-in functions reduces recurring expenses while simplifying onboarding for new developers. But folding middleware into the chain doesn’t erase complexity, it reshapes it. Some of the problems to be encountered include: - Scale and complexity: Rialo’s validators won’t just be securing transactions; they’ll also be securing APIs, cross-chain data, and scheduled triggers. Any failure in one subsystem could ripple across the entire network. - Performance vs. decentralization: Richer indexing, scheduling, and data ingress could make nodes heavier to run, narrowing who can realistically participate as a validator. That risks reducing the decentralization blockchains depend on for resilience. - Governance pressures: Disputes or failures involving real-world data feeds, external APIs, or cross-chain actions will arise more often, requiring not just technical fixes but robust social infrastructure, clear rules for voting, transparent arbitration, and mechanisms for community trust. Without them, Rialo risks re-centralizing decision-making around a handful of operators. Where, then, does this model make the most sense? That would be in sectors where external connectivity is indispensable and middleware bloat has consistently been a blocker: - Real-world assets: settling tokenized securities or commodities against off-chain events. - Supply chains: triggering a payment the moment a shipment clears customs, without relying on a third-party oracle. - Agent systems: AI agents interacting with real-world APIs and on-chain contracts simultaneously. - Real-time markets: prediction markets or insurance contracts that must resolve immediately against external data. For purely on-chain domains like DeFi primitives or NFTs, where composability matters more than external triggers, the advantages may be less pronounced. This shift is familiar to anyone who remembers the rise of Web2 platform services. Just as Heroku and Firebase abstracted away server maintenance so developers could focus on building products, Rialo is betting that a unified real-world network can let blockchain developers do the same. Adoption will ultimately depend on: - whether its protocol primitives mature quickly, - whether the ecosystem builds out SDKs and tooling that make them usable, - whether compliance features can adapt to changing regulations, - and whether governance proves resilient under adversarial conditions. The first applications will be the test case. If they show that Rialo can replace a fragile patchwork of middleware with a secure, auditable, and cost-effective base layer, it could set a new standard for real-world connectivity in blockchains. If not, it risks simply moving complexity from one part of the stack to another. But at a minimum, Rialo has forced the question: should real-world connectivity in blockchains continue to depend on layers of external vendors, or should it be built into the chain itself? That’s the question Rialo has put on the table — and it’s why I got interested in Rialo .show more

Recently did an interview with the lead developer of... Knight's Path on the title's future release and the state of the industry. The Western AAA gaming industry has shifted its focus away from its core audience, favoring products for smaller, less engaged demographics. This shift has led to a noticeable disconnect between large publishers and their traditional fan base. This has, however, created an environment for indies to thrive. They can prioritize authenticity and community, crafting games that resonate with their players and that is exactly the case with Knight's Path. In December of 2023, Knights Path: The Tournament was released to Very Positive reviews on Steam. It is a short medieval RPG featuring challenging combat, an immersive progression system, and a nice little story. It served as an announcement, a combat concept demo, and a teaser for the forthcoming open-world RPG Knight's Path, which is currently in active development. I asked what their plans were regarding the scope of the full release. While you might get the impression that Knight's Path is an arena fighting game, that’s not the case with the full release. "Knight's Path will be a proper open-world, story-driven RPG. Of course, as a small indie team, we’re keeping the scope modest. The open world will be compact but dense, featuring one town, one village, castle ruins, forests, valleys, and other areas to explore." Many gamers would agree it is better to have a limited number of fully fleshed-out areas than to present a gigantic, empty world. This has been a major criticism levied towards recent releases like Pokémon Scarlet and Violet and even modern Assassins Creed, which tends to rely on repetitive gameplay loops scattered across an overly large map, which can feel more like busywork than meaningful exploration. I have always believed that quality over quantity is the best way to go. The team has also made this a priority with things such as the story and weapon types. "We plan to include three main weapon types: longsword, sword and shield, and bows. These will feature the full progression system seen in the demo, with skill levels such as Novice, Adept, Expert, and Master. Players will need to learn individual skills from different trainers to progress. In addition, we’re introducing secondary weapons like spears, halberds, and other polearms. These won’t have RPG-style progression but will still offer variety in combat." Regarding the story, they plan to be bold and strive to create a 16-28 hour-long main campaign. "The story will be divided into four chapters, with each chapter offering around 4–7 hours of gameplay. As in the demo, the player character begins as a nobody, slowly learning how to wield a sword and eventually becoming a knight. However, the progression will be much more realistic than in the demo, where the peasant hilariously transformed into a champion in just four days." This is a far cry from many games that are released nowadays. In just 2024 alone at a glance, the AA release Flintlock: The Siege of Dawn provided an average of 8 hours of content, Princess Peach: Showtime at 10 hours, Silent Hill 2 Remake at 15, and even the GOTY winner Astrobot holds an average playtime of 10 hours. A major issue within the industry is the way we are treated by the people who only have jobs because of our favorite hobby. In 2024 the gaming industry is forecasted to generate $208.7 BILLION dollars, up from 5.4% in 2023. Compare that to Hollywood, which is a measly $12.3 billion. The gaming industry employs 727,000 individuals in the United States alone. So, you'd think these people would have a little bit of respect for gamers, though so many who are vocal on social media show nothing but contempt for us. Perhaps this is because of fear if they do not show loyalty to a cause or "fit in" that they may not secure funding or genuinely believe in what they preach, but the team behind Knight's Path isn't worried about that. "We are independent developers, and we plan to stay independent so we can stay true to our vision. Knight's Path is a game made by gamers for gamers. We’re prioritizing fun gameplay above all, and we firmly believe this is exactly what gamers want." I also raised some questions about their big plans moving forward. In the demo, one of the major criticisms I had was with the voice acting. I had guessed it was done via AI, which was confirmed. "You guessed correctly– the voice acting in the demo was done by AI, and it was probably the loudest critique we received, and we totally understand why! Back then, we didn’t have much of a choice, but for the full game, we don’t plan to use any AI voices. Luckily, after the demo release, many voice actors reached out to us, volunteering to lend their voices to the full game. We absolutely plan to answer their call and give them that opportunity." AI can be a useful tool, especially for developers starting out who can't commit a lot of money to voice acting or just want to see a version of the product that's closer to what they envision the full release to be, but going from that to real voice actors will bump the experience to the next level. I myself played the demo in its entirety and really enjoyed my time with it! I thought the game was reminiscent of Gothic 2 and even The Witcher. I was happily surprised when I didn't encounter any bugs or glitches and while some areas have not been fleshed out like the voice acting, I would recommend putting the game on your wishlist to see what this team does in the future when they finally deliver their updated demo and the eventual full release of the game.show more

Moscow’s Underground Tours: Reliving the Nuclear Age for a... New Audience In the depths of Moscow, a once-classified Soviet bunker has been repurposed into an unusual attraction. Visitors can now press a red button to simulate launching a nuclear strike. As global tensions rise, the demand for this mix of Cold War history and interactive education has surged, turning what was once a secret military installation into a lucrative business. From Cold War Command Center to Museum Several times a day, in the heart of Moscow, the iconic Bunker-42 hosts simulations of nuclear strikes for curious participants. Built in 1956 as a command center for the Soviet Union’s long-range aviation, the bunker was integral to the country’s early nuclear strategy. Its decommissioning in 1986 marked the end of an era, but in 2006, it was declassified and transformed into a museum. Now, visitors descend 65 meters below ground to explore relics of a bygone era: full-scale models of the Soviet Union’s first atomic bomb, the RDS-1, and the TU-4 bomber that carried it, alongside later ballistic missiles such as the RS-36M2. The tour culminates in a dramatic simulation, where participants face a scenario of a nuclear attack on Russia and are guided through the steps of launching a retaliatory strike. The simulation is strikingly realistic. Alarms blare as images of bustling city life are interrupted by the onset of an attack. Participants play the role of Soviet operators, preparing missile systems for launch. Those willing can answer the hotline, receive the launch codes, and press the red button to “fire” a ballistic missile. The event ends with visuals of a missile strike, showing mushroom clouds, shockwaves, and cities reduced to rubble. The experience isn’t for the faint of heart—and it’s drawing scrutiny. While the museum advises a minimum age of eight, critics warn of potential psychological harm to children. Psychologists argue that such intense simulations could induce anxiety, nightmares, or even normalize aggressive behavior in younger participants. In early 2024, the company expanded, opening a second site near Moscow City. This new museum, located in a repurposed bomb shelter, focuses on civil defense and emergency preparedness, catering to a public increasingly concerned about global instability. Fear and Fascination Drive Demand Interest in these tours has grown sharply since the war in Ukraine began in 2022, with many Russians seeking practical knowledge about surviving potential threats. Dmitry Yurkov, the scientific director of the project, notes that public anxieties have shifted from nuclear war to more immediate dangers, like drone strikes. “Our goal is to dispel myths and teach people practical responses,” Yurkov explains. “For example, in the event of an air raid siren, the first step isn’t to rush to the metro but to tune into a radio or TV station to understand the situation.” The museum hosts lectures and training sessions, and its staff field a growing number of questions from visitors, ranging from the locations of the nearest shelters to strategies for surviving a missile attack. A Mirror of the Times The rising popularity of these tours reflects a society grappling with heightened geopolitical tension. While some visitors seek an adrenaline-fueled experience, others come to confront their fears and better understand the realities of modern warfare. Critics, however, question the wisdom of exposing children to such stark simulations. “For some kids, pressing the button to ‘launch’ a missile may feel empowering, but it risks normalizing aggression,” warns child psychologist Natalia Naumova. Adults, by contrast, may find the experience cathartic, with the visceral simulation offering a release for the anxiety that has mounted during years of pandemic lockdowns and global conflict.show more

Holy shit. Four and a half years. My role... as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DCshow more

Trooper John Fanning, one of Michael Proctor’s supervisors at... the NCDAO State Police Detective Unit (SPDU), reportedly “supervised” the jury at the #KarenReadTrial. As if this conflict alone wasn’t concerning, the fact that Fanning was later under an inconclusive internal investigation by the MSP for “whether [he] failed to adequately supervise by not taking appropriate action after Trooper Proctor sent inappropriate texts to a group of subordinate members, specifically, if he took any corrective action to address the unprofessionalism and inappropriateness of Trooper Proctor's texts”—thereby making him a potential witness & demonstrating his clear conflict, is incredibly concerning. In the full sit down interview w/ #KarenRead & Attorney Alan Jackson, Ted Daniel asks them about the potential jury tampering that occurred at the first trial—notably with the ultra curious last minute dismissal of 3 jurors, whose body language, reactions/expressions & outward demeanor appeared favorable to the defense, in addition to the “supervision” of the jury by one of Michael Proctor’s bosses, NCDAO SPDU Trooper John Fanning. It would be dishonest to try to claim that Trooper Fanning had no stake in the outcome of the Karen Read trial. Arguably, anyone with ties to the NCDAO, its SPDU or the Canton Police Department—and notably those with close ties to Michael Proctor, like his own supervisor, have clear conflicts of interest in this case. As you may recall, Trooper John Fanning was the lead investigator in the Sandra Birchmore case where he and his investigators concluded that Birchmore committed suicide while allegedly pregnant with a fellow Police Officer, Matthew Farwell’s baby, and wasn’t the obvious victim of murder by that same Officer who also raped and groomed her from a young age as revealed by 30k+ text messages inexplicably “overlooked” by Trooper Nicholas Guarino & Fanning. The Feds investigated that “investigation” too and have since indicted Matthew Farwell in Sandra Birchmore‘s murder. Additionally, Trooper Fanning was in one of Michael Proctor’s abhorrent group text message threads where he disparaged Karen Read. Fanning was subsequently internally investigated by MSP for this, and his failure to properly “supervise” Trooper Proctor—interesting that such a person would be chosen to “supervise” the jury. In a statement from the State Police, they said: “The Department’s internal affairs investigation determined that there was insufficient evidence to prove or disprove the allegation that Lieutenant Fanning violated rules and regulations by failing to uphold the responsibilities of a supervisory member. This allegation has been classified as unfounded.” Frankly, given the circumstances of this case, it would be concerning if any member of the State Police oversaw and supervised the jury. Why was ANY member of the State Police supervising the jury? Has anyone ever heard of this before—Police Officers from the same agency that investigated, testified against & was a part of the prosecution against a defendant having one of their personnel in charge of and in direct control of the jury? This can’t possibly be a standard practice due to the obvious existing conflict, no? Plus, were it standard protocol, then why wasn’t the defense made aware of this fact until 10 minutes before making closing argument, after a nearly 10 week long trial? ——— Something majorly stinks about this, and perhaps it sheds some light on something peculiar that one of the deliberating jurors, who was recently interviewed by Aidan Kearney, kept saying in regard to the jury’s deliberative process. Specifically, something that stood out to me from juror Ron’s interview was his repeated use and references of the other jurors’ use of the term “distractors” to qualify or describe the abundant evidence representing “reasonable doubt” brought out by the defense at trial. “Distractors.” It’s somewhat of a novel term, especially in this context, and is obviously antithetical to a jury’s duty to assess a case based on the proof beyond a reasonable doubt standard, which is inherently intertwined with an assessment of the existence of, or lack thereof, reasonable doubt. There was no evidence or instructions from the court that came out at trial directing jurors to view defense evidence or ARCCA experts, for instance, as “distractors,” and the jury is very specifically instructed not to view/consume/bring any outside information into their deliberations. In other words, if they’re unsure who the ARCCA experts were there on behalf of (the Feds), they’re specifically told not to “fill in the blank” with information that’s not there, or evidence that didn’t come in at trial. So where did the information—this use of the term “distractors” come from? Who fed this term and this concept to the jury? The reason why it seems like it was “fed” to the jury is because it goes against everything the court, Judge Beverly Cannone, instructed them on. So, what prompted the whole “distractors” concept to taint the jurors’ minds and deliberations? ——— What immediately came to mind was the jury tampering by court clerk Becky Hill in the Alex Murdaugh murder trial. In that case, according to Murdaugh’s attorneys, Ms. Hill “invented a story about a Facebook post to remove a juror she believed might not vote guilty”. Judge Clifton Newman, who oversaw the murder trial, removed the female juror from the panel. According to the Murdaugh defense motion, Ms. Hill had gone to Judge Newman – the day after Murdaugh testified, not long before closing arguments – claiming that she had seen a post in the local Facebook group ‘Walterboro Word of Mouth’ from the juror’s former husband, Tim Stone. The post purportedly claimed that the juror was drinking with her ex-husband and, when she became drunk, she expressed her views on whether Murdaugh was innocent or guilty. A follow-up post from an account called Timothy Stone apologised for the post saying that he was driven by “Satan”. Murdaugh’s attorneys claimed that the Mr. Stone behind the Facebook posts was actually a random Georgia man who was ranting about his wife’s aunt – and has no connection to the case. Additionally, information from jurors had come to the defense’s attention about inappropriate comments supposedly made to them by Ms. Hill while she was “supervising” them—the same role as “supervisor” that Trooper John Fanning allegedly played in the Karen Read trial. In Murdaugh’s case, the jurors were *actually* brought back into the court and were called to the stand one by one and questioned about potential comments that may have tainted their verdict. A female juror, identified only as juror Z, said that Ms. Hill had told some of the jurors to “watch [Murdaugh] closely.” “To me, it felt like ... she made it feel like he was already guilty,” juror Z said. A separate juror, Juror E, said that he heard Ms. Hill say “watch [Murdaugh’s] body language”, but claimed that this did not affect his decision. ——— There were reports, at the time of the dismissal of the 3 defense-favorable jurors at Karen Read’s trial, that right before closing arguments, Trooper Fanning had reported the information responsible for dismissing these jurors to Judge Cannone. Among that information was reportedly a story about one of those jurors, claiming they’d been overheard discussing the case while drinking at a bar (or something to that effect)—a story that sounded highly suspicious at the time, particularly given the fact that Trooper Fanning had allegedly had that information weeks before, but never reported it to the court. The similarity in Becky Hill and John Fanning’s “stories” leading to the dismissal of defense-favorable jurors is rather uncanny. ——— Is it not problematic to have individuals—with conflicts of interest, who are also potential witnesses, and who seemingly have a vested interest in the outcome of the trial—be in charge of overseeing and supervising the jury? I’ve attached the referenced MSP Internal Investigative Report for Trooper Fanning to this post (attached in the comments below). What’s troubling is that, despite acknowledging in their report that “these allegations came to light on June 10, 2024, during the trial,” they didn’t immediately initiate an internal investigation, but instead waited until AFTER the trial ended, July 3, 2024, to launch their internal investigation, almost as if they were planning on not initiating an investigation had Karen Read been convicted, because apparently in that case the misconduct would’ve been justified… or something? It should also be noted that this same practice was employed for most, if not all, of the other Police Officers in this case, whose misconduct was exposed by the defense throughout the prosecution’s case at trial—whereby, despite admissions and the existence of evidence of their misconduct, the MSP, NCDAO and Canton PD seemingly did everything they could to avoid initiating any investigations or holding their officers accountable for their misconduct until after the trial ended—when they could no longer justify not doing anything. It makes you wonder: Had Karen Read been convicted, do you think they’d (the MSP, NCDAO or CPD) ever launch any internal investigations into the misconduct of their officers, as evidenced at trial, weeks before? ——— It should be mentioned that in the Sandra Birchmore case, which Trooper Fanning led the investigation of, despite the Feds spoon feeding the State Police & NCDAO (DA Michael Morrissey’s Office) overwhelming evidence + probable cause, in addition to punting the ball back to the state to do the right thing and charge Farwell with murder—a state level charge, they’ve refused to take any action to this day. In fact, not only has it now been nearly 6 months since the Feds apprehended & indicted Farwell, but the NCDAO, Fanning and the State Police, aside from taking no action, have made no statements and are still of the official position that Sandra Birchmore killed herself. To try to save face, the NCDAO, through its former spokesperson David Traub, tried to create the impression that the DA’s Office had been long working in collaboration with the Feds to secure an arrest in the Sandra Birchmore case, claiming that “two of [the NCDAO SPDU’s] detectives were present at the command post ... while federal authorities were attempting to take Matthew Farwell into custody”—whatever that means. This, of course, is patently absurd because the DA’s Office and State Police could’ve “secured an arrest” years ago—nobody was stopping them, but instead they framed Sandra Birchmore for her own murder. Spokesperson Traub then had the gall to say that “much of the information that they [federal authorities] built on originated with our investigation, including the collection of thousands of text messages.” (See a collection of statements from the NCDAO on the Birchmore case from reporting over the years, attached in comments below). While the Feds might be somewhat playing along with this narrative, don’t be fooled. Perhaps it’s to appease the very individuals who they’re investigating for the supposed coverup of Sandra Birchmore’s murder. Why? If the Feds had actually been collaborating with the State Police investigators from the NCDAO who investigated Sandra’s death, then at the Feds’ press conference announcing Farewell’s indictment, U.S. Attorney (at the time) Joshua Levy wouldn’t have feigned ignorance when asked who the lead investigator was on the case before his agency got involved (see clip 3 attached). Had the Feds actually been *collaborating* with the State Police & the DA’s Office, John Fanning’s name would’ve been the first thing uttered out of Josh Levy’s mouth. On a side note: I think this is very telling. Does it mean the U.S. Attorney’s Office is investigating Fanning? Who knows. But one thing’s for sure: Josh Levy 100% knew who the State Police lead investigator was and he deliberately avoided saying it. This observation is reflected in FBI Special Agent Chenee Castruita’s 45-page long probable cause affidavit for the arrest of Matthew Farwell, which notably contains ZERO references whatsoever to John Fanning, or any of the other involved State Police investigators for that matter. That’s telling. If there was so much “collaboration,” like DA Michael Morrissey’s Office wants the public to think, then not only would USA Josh Levy have had, at the very least, Trooper Fanning up there side-by-side with him at that press conference, but he would’ve acknowledged him by name in his press conference. Why hasn’t the NCDAO charged disgraced former Stoughton cop Matthew Farwell with murder? Is it yet another case of “pinning it on the girl” to cover up for fellow Police Officers’ crimes? ——— Of note, Trooper Fanning grew up in Stoughton, graduating from Stoughton High School in 1998, the same year that Matthew and his twin brother William—who also grew up in Stoughton—then 12 years old, became participants in the Stoughton police youth program. As Karen Read points out in the interview with Ted Daniels: “There were familiarities among players that never should’ve happened. There’s a sleeve of homicide in the Norfolk DA’s office, as there is in the other counties of Massachusetts. And yet, the person assigned to investigate this case—ostensibly investigate this case—lives a mile down the street from the crime scene.” (See clip 4 attached). Why is it that when there’s seemingly crimes—in this case murders, involving cops, that the NCDAO SPDU appears to send the most conflicted Trooper with the closest ties to that cop/those cops? In Officer John O’Keefe’s murder, the Trooper that lives down the street from 34 Fairview and is “second family” with the Alberts is obviously the last person who should’ve ever responded to that case, yet he was the lead investigator. Given Trooper John Fanning’s close ties to Stoughton, isn’t it interesting that he’s the one who was the lead investigator of Sandra Birchmore‘s death—a murder that allegedly involved a former Stoughton cop? What say you?show more

I've bought over 30 RV & MH parks in... the last 5 years. Lately? 2 per month. Want our playbook? Here ya go: How to buy a small, off-market mobile home or RV park that can 2x your money in 1-2 years, in 5 steps: 1. Pick a city in a red state. The two biggest factors: Crime & unemployment rates Crime: CrimeGrade . org Unemployment: SimpleMaps . com Cities with 3k - 30k people are best. This is the sweet spot for enough population & not to much competition. You want parks with almost no web presence & little to no reviews. A DG nearby is great. Walmart is better. But remember, “if no DG, it ain’t for me.” If there's a Whole Foods you ain't getting a good deal, I promise. Growth rate is good too, but #3 to the two above. Don't worry about the path of progress as much as other asset classes might. 2. Find the leads Get on Google Maps and search "mobile home park" in your target area(s). Avoid NY & CA (not landlord friendly). Make a Google sheet of the leads & use Loom to record your screen. Spend 30 mins doing this. OR, use something like Outscraper to do it for you. Be warned though, that if you don’t do this yourself the scraped results may not be as accurate. If you’re targeting a smaller geographical area I would do it by hand. If a whole state, use software. You’re looking for phone numbers. Use SearchBug . com to see if cell or landline for pennies. Or Phone Validator Go to Upwork and hire a virtual assistant to keep doing this for you, assuming you are targeting a larger area. They will cost around $4/hour. Use that same Loom link in your posting so applicants can see what the job will entail. When working, Loom it! You’ll never know when you’ll need it. When in doubt, Loom it out! More leads = better deals. 3. Call the leads Call up the owners and be real. Don't talk about any accolades. He doesn't care and it will only hurt you. You're a hard working country boy. You have a wife and kids (I hope you actually do). Are you a democrat? Don't tell the owner. (Sorry, democrats). Here's your general pitch: "I'm not a broker, I'm just looking for some good real estate and don't want to waste your time with a lowball offer. I can pay cash and close fast" Tell him about your wife and kids and what you do on the weekend. Most importantly, LISTEN. He's going to talk your ear off. This is a good sign. 4. Ask the right questions Ask him: How many pad sites? How many of those have a unit on them? How many of the units are RVs? (It's common for there to be a mix of MH/RV) Any single family homes on the property? Rent? Are the units park owned or tenant owned? (this is key) If a mix, what's the mix? Park-owned homes you have to maintain. AVOID AT ALL COSTS. Tenant-owned homes are key (lot rent). This means you only rent out the land and underground infrastructure. Depending on the state, sometimes you can sell back or give away the park-owned units to the tenants to absolve yourself of maintenance. Check the laws! You'll command half the rent but enjoy 90% less hassles. $250 - $350 is common lot rent in the midwest and SE. What's the occupancy and rental amount of each type of unit? Any outbuildings on the property? Septic or city sewer? If septic, conventional or aerobic? Sewer is best. Septic isn’t a deal breaker but you REALLY want to have it inspected. If there’s a lagoon or wastewater treatment plant I want you to throw that phone as far as you can, block their number and never speak of it again. Within city limits or no? City limits are best but rare. Outstanding municipal or zoning issues? How much is insurance? How much is landscaping? Asphalt, cement or dirt roads? Condition of the roads? Any drainage issues? Is there a manager? What do you pay them? (Best if no manager) Any pending litigation? What are total collections? How do people pay rent? How many are delinquent? What condition are the units in? Do you have a lien on the property? How long have you owned it? 30 or 50 amp? City maintained streets? City water or well? City is best. Keep in mind, that’s a lot of questions to ask. You have to feel it out, if he’s being standoffish, don’t keep pushing, just call back. This isn’t a used car lot, this is a relationship you’re trying to build. Don’t try and close on this first call. The key question: "If we were to make a deal, what's a ballpark offer you'd expect?" NEVER anchor him with the phrase "bottom dollar." Using the word "ballpark" keeps numbers loose. Whatever number he says, you want to pause and hem and haw over it. Embrace the silence and awkwardness. Back to car sales, they call this the “silent walkaround” when valuing a trade-in. Don’t say a thing about the asset, but point out the flaws with your body language. Touch the dents and scratches as you pause. Do the phone version of this. Tell him you'll get back to him tomorrow. Thank him profusely for his time and congratulate him on the park he's built. 5. Underwrite Before you do anything, check with the city to ensure the park is in good standing. Get that in writing. Don't trust the seller. Buyers are liars? So are sellers! Now's time to crunch numbers: What's a cap rate? The net operating income of the park divided by the price you'd like to pay. If you want your money back in 5 years and you're willing to pay up to $1m, you need $200k net profit per year. This is a 20% cap rate (20 cap). It's aggressive but possible on a smaller, rural park. (Yes, it really is, even in 2023) You probably won’t find a park that big in a small town for a good price, though. Start w/ a smaller park & higher cap rate. More room for error. $300k - $1m purchase price. First do some market research: Remember all your leads? Call competing parks as a potential tenant and ask what their lot rent is. Put this in a spreadsheet to get average lot rent & park-owned home rent. Keep in mind many of these parks will be undercharging as well. It's common to find parks charging $100 that could charge $250. When calculating cap rate BE CONSERVATIVE. Don't count on 100% of people staying if you increase rents, even though most will. Use $190 to be safe. Shoot for a park that will net $100k/year after rent increases that you pay no more than $600k for. It’s hard but not impossible. Or maybe you find a $30k/year park to get your feet wet. At least you're in the game. The more leads you scrape, the better chance of finding this park. Shoot for as much seller financing as you can get. Finance the rest with friends/family or savings. Once you find this park, get it under contract. Use a standard, simple real estate form that you can find on your state's real estate commission website. Texas' is called TREC. Yes, get it under contract before seeing it. Put down earnest and option money, and then go see it. Don't dress like a city slicker. Be personable and be willing to stay a while and BS. Drive a Tesla? Rent a truck. Drive a Prius? Just quit. Inspect the condition of the units, even if you aren't buying them Crappy units = more tenants willing to abandon them. And they aren't cheap to remove or move. Verify everything he said on the call If all looks good, start on the inspections: Septic or sewer lines SFH home inspection. Check with the city for outstanding issues or litigation Check for liens Wastewater treatment plant? If so, abandon ship! Electrical infrastructure Use professionals for all of these. Ask for: Rent rolls. They will likely be handwritten, that’s ok. Bank statements. Ask to speak to a few tenants to get their experience. Inspect their lease. Ask for vendor invoices or history of payments. Ask to speak to vendors. At some point before you close, list the property on Craigslist, FB Marketplace and Zillow. See how demand is for vacancies. If all still looks good, close on the property. 6. Post-closing strategy Meet all the tenants in the evening, they're at work during the day. Shake their hands. Tell them you want their experience to be amazing & you want them to stay Give them your number Ask what can be fixed If fixes are cheap, do them ASAP Tell that tenant once fixes are made. Address them by name. Clean up the park. Hire a tree guy to clear out low hanging branches. Do some simple landscaping. Find the tattletale in the park and get all the dirt. Who are the druggies and abusive husbands? Get them out ASAP if you can. They are much more expensive than the temporary vacancy hit. Fix potholes and drainage issues. ADD VALUE. Show you care. Wait a couple months before making any changes. Bring lot rents closer to market. Be upfront about this. They will understand if they've been getting a deal. Give people 2-3 more months' notice to give them time. Keep renting out vacancies at new price. This isn't self storage. You won't raise rents yearly. Don't be a jerk. Let them know what to expect. Once rents are raised and park is stabilized, you are 9-12 months in. Search Loopnet for the most active MHP brokers Hire the best one & pay what he or she commands. Sell on the market for 7-10% cap You've just 2-3x'ed your money. Rinse & repeat. I have done this over many times. Not all of my deals were bangers, but most were. THERE ARE STILL DEALS OUT THERE. There's a lot of fine print, and things can and will go wrong, so don't be dumb. Do your own research. Not everything can be explained in 1,700 words. I'm hosting a live, free webinar this Tuesday to cover this stuff in more detail. Including: 1. How to do everything above in more detail 2. How to ETHICALLY wholesale deals like these if you can't afford to buy them. 3. What hard questions to ask GPs of parks like these (like me) if you want to invest in them. 4. Live Q&A with me Comment below and me or my assistant Kelly will DM you the invite link. See you there! Or just follow me Chris Koerner for more RV/MHP content.show more

PROMPT: Generate a continuous 15-second premium live-action broadcast TV... commercial for a high-performance family kitchen blender, designed as an energetic, polished consumer-appliance advertisement emphasizing FAST BLENDING POWER. The commercial must tell a complete miniature visual story within exactly 15 seconds: a busy family needs breakfast quickly, fresh ingredients enter the blender, one touch unleashes powerful high-speed blending, a thick mixture transforms almost instantly into a perfectly smooth fruit smoothie, the family enjoys the result, and the commercial ends on a clean hero product shot with the promise: “Smooth in Seconds.” Maintain a consistent high-end contemporary commercial visual style throughout the entire sequence: photorealistic food photography, tactile ingredient detail, premium appliance surfaces, energetic but controlled camera movement, crisp natural highlights, appetizing freshness, believable family warmth, and polished broadcast-advertising finish. Shoot as if captured on an ARRI Alexa 35 cinema camera using a coordinated set of 24mm, 35mm, 50mm, 85mm, and 100mm macro cinema lenses. Preserve realistic perspective, physically plausible motion, natural depth of field, smooth highlight roll-off, subtle cinematic contrast, clean skin tones, rich food texture, controlled motion blur, and sharp product detail. The entire commercial takes place during one continuous bright weekday morning in the SAME modern family kitchen. The kitchen has warm off-white cabinetry, pale natural-oak counters, a large sunlit window frame-left, brushed stainless-steel fixtures, a small breakfast table in the background, subtle family-life details, and a clean uncluttered countertop. Warm morning sunlight enters consistently from frame-left at approximately 5200K, supplemented by soft interior fill, producing gentle directional shadows and bright natural reflections. Maintain the same architecture, counter layout, window position, furniture, appliances, background objects, lighting direction, and color palette throughout every shot. New camera angles reveal different perspectives of the same physical kitchen and must never create a different-looking location. LOCKED PRODUCT: one premium family countertop blender with a compact matte-silver motor base, black control panel, one illuminated circular speed control, large clear 1.8-liter blending pitcher, black fitted lid, stainless-steel blade assembly, sturdy black handle, and subtle unbranded front badge area. The blender’s shape, proportions, materials, controls, pitcher geometry, lid, handle, blade assembly, reflections, scale, and countertop position remain identical throughout every shot. It begins centered on the main kitchen counter and never changes location. LOCKED INGREDIENTS: fresh strawberries, banana pieces, blueberries, mango chunks, Greek yogurt, milk, and several ice cubes. Ingredients must retain recognizable colors and textures before entering the pitcher. Once added, object permanence must be respected: ingredients cannot reappear outside the blender. During blending, the mixture must transform physically and continuously from visibly chunky fruit and ice into a uniform thick pink-red smoothie. LOCKED FAMILY: a mother in her mid-30s with shoulder-length dark brown hair wearing a soft beige knit top and blue jeans; a father in his late-30s with short dark hair wearing a pale blue casual shirt; an approximately eight-year-old daughter with dark brown hair in a ponytail wearing a muted yellow T-shirt; and an approximately six-year-old son with short brown hair wearing a light green T-shirt. Preserve their exact ages, facial identity, hairstyle, wardrobe, body proportions, and appearance whenever visible. Their expressions progress naturally from hurried anticipation to impressed surprise to relaxed enjoyment. Avoid surreal food behavior, floating ingredients, impossible liquid physics, teleporting objects, changing blender geometry, inconsistent pitcher fill levels, duplicated fruit, warped hands, extra fingers, changing wardrobe, altered kitchen architecture, random background changes, excessive lens distortion, unreadable product geometry, fake plastic food textures, excessive camera shake, oversaturated grading, artificial CGI appearance, flickering light, exposure shifts, continuity resets, jumpy object positions, text artifacts, random labels, logos, watermarks, or unrelated products. 00:00–00:02.0 — OPENING PROBLEM / FAMILY MORNING RUSH. Begin with a dynamic 24mm wide establishing shot from approximately countertop height, looking diagonally across the kitchen while preserving a left-to-right spatial axis. The mother moves briskly toward the counter from frame-left as the two children wait near the breakfast area in the background, visibly eager and short on time. The father passes behind them preparing to leave. Morning sunlight streaks naturally through the frame-left window. The locked blender is already visible on the counter as the visual anchor, positioned prominently but naturally in the foreground-right. Use a smooth fast dolly-in toward the blender rather than a hard zoom. Small breakfast details suggest a busy school morning without cluttering the frame. Sound begins with subtle morning kitchen ambience, quick footsteps, a chair movement, and upbeat rhythmic music immediately establishing urgency. No spoken dialogue. 00:02.0–00:04.0 — INGREDIENT SPEED MONTAGE. Match-cut into a rapid sequence of three extremely concise food-preparation inserts totaling exactly two seconds. First, a 100mm macro close-up catches vivid strawberries and blueberries dropping into the clear pitcher, with realistic gravity, bounce, moisture, and fruit texture. Cut to banana pieces and mango chunks entering from above, maintaining the exact pitcher position and increasing fill level logically. Cut to a tight side insert as Greek yogurt, milk, and ice cubes enter last. Use crisp impact sounds synchronized with each ingredient: thump, splash, clink. Each insert changes visual information and advances the preparation; never repeat the same composition. Camera movement is minimal and precise so the speed comes primarily from editorial cutting. The blender remains OFF throughout these inserts. 00:04.0–00:05.2 — ONE-TOUCH ACTIVATION. Cut to an 85mm close-up from a low three-quarter front angle of the blender control panel. The mother’s right index finger enters naturally from frame-left and presses the illuminated circular control exactly once. Show believable fingertip compression against the control. The instant contact occurs, the control illumination brightens and the motor begins. Add a precise tactile click followed immediately by a confident rising electric motor sound. Use a subtle fast push-in timed to activation. The hand exits naturally; do not show multiple presses. 00:05.2–00:08.2 — POWER DEMONSTRATION / HERO BLENDING MOMENT. Cut to a dramatic but physically realistic 50mm close three-quarter view of the entire pitcher. The motor accelerates rapidly. Ice cubes and fruit initially tumble downward toward the stainless-steel blades, then form a powerful controlled vortex. Show the transformation continuously: recognizable strawberries, blueberries, banana, mango, yogurt, milk, and ice become progressively smaller and more integrated until the mixture turns into a completely smooth, thick pink-red smoothie. The action must communicate exceptional blending speed without supernatural physics. Condensation begins subtly on the outside of the pitcher. Tiny droplets and believable internal turbulence catch the frame-left morning light. During this three-second power demonstration, execute a controlled semicircular camera move of approximately 35 degrees around the front of the blender without crossing the established spatial axis. Begin slightly frame-left of the product and finish near frontal three-quarter. Maintain the blender base completely stable on the countertop with no unrealistic vibration or sliding. Use one brief 100mm macro insert lasting approximately 0.5 seconds to reveal the high-speed vortex and disappearing final fruit fragment, then return immediately to the matching three-quarter product angle. Sound design intensifies with a strong smooth motor whirr synchronized to the vortex, layered with the upbeat music. At approximately 00:07.6, the last visible fruit fragment disappears into the vortex. By 00:08.2 the mixture is visibly uniform, silky, and completely smooth. This transformation is the commercial’s core proof point: FAST BLENDING POWER. 00:08.2–00:09.5 — INSTANT RESULT. The motor stops cleanly. Cut to a 100mm macro beauty shot looking through the clear pitcher wall at the perfectly smooth smoothie surface settling from a gentle spiral into a glossy, uniform texture. A small central swirl collapses naturally. No chunks remain. Condensation beads on the exterior catch bright highlights. Use shallow depth of field while retaining enough pitcher edge detail to identify the product. Sound drops from the motor into a satisfying soft stop, followed by a subtle musical accent. A confident female voice-over begins: “Powerful blending…” 00:09.5–00:11.5 — POUR AND PROOF. Match the circular smoothie motion into a 50mm close-up of the mother tilting the same pitcher and pouring the thick smoothie into two clear family drinking glasses on the same countertop. The liquid forms a smooth continuous ribbon with realistic viscosity and no splashing errors. The pitcher’s remaining fill level decreases correctly. Camera tracks gently with the pour from left to right. The daughter and son appear softly out of focus beyond the glasses, watching with excited expressions. As the glasses fill, rack focus briefly from the flowing smoothie to the children’s delighted reaction. Voice-over completes: “…smooth results in seconds.” 00:11.5–00:13.0 — FAMILY PAYOFF. Cut to a warm 35mm medium shot at the breakfast counter. The two children each take one synchronized first sip from their filled glasses, then immediately exchange impressed smiles. The mother stands behind them with a relaxed satisfied expression while the father takes a filled travel cup and moves toward frame-right, suggesting the blender has saved valuable morning time. Keep performances natural rather than exaggerated. The blender remains visible in the background on its original counter position, recognizable and unchanged. Morning sunlight and the same warm neutral palette continue without variation. The music opens into a bright satisfying resolution. The daughter gives a quick authentic smile and says: “That was fast!” 00:13.0–00:15.0 — PRODUCT HERO / BRAND END FRAME. Use a clean visual match cut from the child’s smoothie glass to the locked blender standing alone in a polished hero composition on the SAME kitchen counter. Shoot on an 85mm lens at slightly below pitcher midpoint for a confident premium product perspective. The blender occupies the center-right of frame while a freshly poured smoothie glass, two strawberries, several blueberries, and one mango slice form a restrained ingredient arrangement in the lower foreground-left. These garnish ingredients are separate presentation ingredients introduced only for the hero composition and must not imply that previously blended ingredients have magically reappeared. Create a slow controlled 5% push-in during the final two seconds. Frame-left morning sunlight creates a clean edge highlight along the clear pitcher and matte-silver motor base. Maintain realistic reflections, exact product geometry, and crisp separation from the softly defocused kitchen background. At 00:13.3, introduce a clean broadcast-safe text overlay in the negative space on frame-left: “FAST BLENDING POWER” At 00:14.0, transition cleanly to the primary campaign line: “SMOOTH IN SECONDS.” Below it, smaller: “POWER FOR EVERY FAMILY MORNING.” Typography is modern, bold, minimal sans-serif, perfectly legible, horizontally aligned, broadcast-safe, with no distorted letters and no unnecessary graphical effects. Keep all typography outside the physical blender silhouette. Voice-over, confident and warm: “Fast power. Smooth mornings.” End exactly at 00:15.0 on a perfectly stable hero frame with the blender sharply resolved, smoothie glass visible, campaign line readable, music landing on a clean sonic logo accent. CAMERA AND EDITING RULES: Use motivated cuts whenever subject, visual information, camera position, action, or emotional emphasis changes. Maintain energetic medium-fast commercial pacing: wider contextual opening, rapid ingredient inserts, tactile activation close-up, high-energy blending demonstration, sensory result macro, fluid pouring shot, human reaction payoff, then a slower premium hero landing. Preserve the established 180-degree axis throughout. No camera crosses the axis unless visibly motivated, and no silent changes in object placement occur between cuts. Maintain consistent camera height for matching shot types. Screen direction remains left-to-right for preparation and family movement. Every shot must introduce new action, information, perspective, reaction, or product proof. AUDIO DESIGN: Begin with subtle morning kitchen ambience under upbeat modern percussive music. Synchronize fruit impacts, ice clinks, control click, motor acceleration, vortex intensity, motor stop, smoothie pour, drinking sounds, and final sonic logo precisely to picture. The blender motor must sound powerful but refined rather than harsh. Duck music naturally beneath the voice-over and daughter’s dialogue. No audio clipping or abrupt ambience resets between cuts. VISUAL COLOR SYSTEM: warm off-white, pale natural oak, matte silver, fresh strawberry red, blueberry blue, mango golden-yellow, and creamy smoothie pink-red. Preserve natural skin tones and realistic food saturation. Use a premium contemporary commercial grade with moderate contrast, soft highlight roll-off, clean whites, controlled blacks, and no teal-orange exaggeration. MOVEMENT AND PHYSICS: All hands interact correctly with objects. Ingredients obey gravity. Liquid volume remains continuous. The pitcher fill level increases when ingredients are added, decreases when smoothie is poured, and never resets between shots. The blender stays physically planted on the counter during operation. The motor vortex follows plausible fluid dynamics. Hair, clothing, reflections, condensation, shadows, and liquid motion react naturally. Maintain strict character consistency, product consistency, object permanence, environment continuity, lighting continuity, and forward-only time progression across the full sequence. Render the final commercial at 24 fps, 16:9 broadcast aspect ratio, UHD 3840×2160 resolution, high-bitrate cinematic master quality, natural 180-degree shutter motion blur, realistic cinema-lens behavior, subtle fine sensor texture, clean compression, no visible digital artifacts, no temporal flicker, no frame interpolation artifacts, and photorealistic high-end commercial rendering. Preserve sharp product edges and legible end-frame typography while allowing natural depth-of-field falloff. The entire finished sequence must be EXACTLY 15 seconds long. Do not extend or shorten any beat. The central visual message must be immediately understandable without dialogue: a busy family morning becomes easier because this family blender turns whole ingredients and ice into a perfectly smooth drink with exceptional speed. The emotional progression is urgency → activation → power → instant proof → family satisfaction → premium product promise. Final audience takeaway: FAST BLENDING POWER. SMOOTH IN SECONDS.show more

Polymarket introduced new fees to kill bots on 15-minute... markets. Result? They just eliminated competition for the two apex predators. These wallets did not just survive. They mutated. While the platform tried to "fix" the system, these two made $918,357 in pure profit in one month. On the fees that were supposed to bankrupt them. Someone on Twitter was complaining his stops get blown at the exact same second every time. Said he was up against HFT bots with direct exchange connections. In the comments someone dropped two profiles. Said here are your "manipulators". Just code. $522,439 profit in one month. $65 million volume. First place on crypto leaderboard. This is not a person. This is PurpleThunderBicycleMountain. His profile: The second profile looked like it could not top the first. 0x8dxd. Second place. $395,918 in the same month. But here is what breaks the brain completely. In December 2025 this wallet had $313. Three hundred thirteen dollars. Now his all-time profit exceeds $658,000. The numbers do not lie. $313 turned into a fortune in six weeks. See for yourself: The mechanics are uncomfortably simple. Both trade the same thing. 15-minute crypto markets. Bitcoin up or down. ETH above or below. Every 15 minutes a new contract. Here is the trick. You look at Polymarket and see 50/50 odds. For you this is a fair coin flip. But these two do not look at Polymarket. They look at Binance. When BTC makes a move on the exchange Polymarket does not know yet. Price already moved. Direction already determined. But odds on the platform still show yesterday. The window lasts 30 seconds. Sometimes 90. It is like playing poker against someone with a mirror behind your back. He already sees your cards. You still think you are bluffing. During this time the bot enters at old prices. Buys YES at 25 cents when real probability is already 80%. Or NO at 1.5 cents when the market already crashed. Then the window closes. Odds catch up to reality. Bot gets $1 for every 25 cents. This is not forecasting. This is harvesting from people staring at a stale screen. One trade stands out. ETH dumped on spot. PurpleThunderBicycleMountain loaded NO at 1.5 cents. Kept buying as price rose to 15 cents. Window closed down. Every share paid $1. 785% in fifteen minutes. On one trade. The craziest part is 0x8dxd stats. Win rate 98%. Out of 6,615 trades. Almost perfect. A human cannot trade like this. A human has shaky hands. A human doubts. A human sleeps. The bot does not sleep. The bot does not doubt. The bot just waits for Binance and Polymarket to diverge for 30 seconds. And takes the difference. Their profit curves both grow without a single pullback. No crashes. No nervous breakdowns. Methodical. Mechanical. Relentless. Polymarket introduced fees to stop this. Result? Small bots died. These two took their market share. A 1.5% fee means nothing when your average return is 300%. Here is what kills. Anyone can spend months learning Python. Rent a server near the exchange. Write an algorithm. Test. Debug. Lose money on mistakes. Or just open their profiles and see what they are buying. The blockchain stores everything. Every position. Every timing. Full history in the open. They spend thousands on infrastructure. Write code for months. Optimize milliseconds. Anyone can just watch where they enter. $918,357 in one month between them. First and second place on the leaderboard. This is not theory. This is a working machine. Right now somewhere BTC is making a move. Polymarket still shows old odds. These two are already entering a position. Only one question remains: Will you be the one selling to them at stale prices? Or the one entering alongside them? In 15 minutes a new contract opens. 14 minutes left.show more