Brain Master

I got fired from my job, because I was caught using my phone at work So I decided to lock myself in for 3 months and made over $2,000,000+ from prediction markets & perps using Claude AI My system scans Polymarket events, perps prices on different platforms, mispriced probabilities to send me a message when to enter The thing is, I have no idea where crypto prices are going to be in the future and I don't need to. I just wait for YES and NO prices buy the cheap side and hedge with others I close when the spread normalizes → basically arbitrage trading with an algorithm watching a lot markets at once As a result, I traded more than $100,000,000+ volume an amount unreal to me months ago If you are still not using AI tools in 2026, your sleeping. BILLION dollar businesses will be cooking entirely run by a single person and AI agents So I decided to close my community now and will no longer accept new members. It takes too much time managing a lot members, I want hungry people! Anyway thanking everyone who was with me and printing together❤️❤️

Crazy Sahil is now exposing every big KOL name and even the one who isn't a KOL. - Machi - Clavicular - Ansem and so on...

The opportunity behind mapping overlooked places Some of the most useful places to map are also among the hardest to cover Think about indoor corridors, staircases, back rooms, warehouses, and small spaces that ordinary mapping vehicles cannot enter These environments can still matter when robots need to operate beyond roads and open outdoor areas. @vangrid_io takes a smartphone-based approach to capturing real-world environments and turning the footage into digital data. This creates an opportunity to collect information from places that may not receive much attention in traditional mapping systems. The challenge is not simply sending more people out to record videos. The data must meet the required quality standards, and the resulting models need to be suitable for their intended purpose. But making data collection more accessible is an interesting direction for the industry. As Physical AI expands into more environments, detailed information about overlooked spaces could become increasingly useful.

Why data verification matters in a decentralized network When a data network grows collecting more information is only one part of the challenge People also need ways to check where the data came from and whether important records can be verified @vangrid_io uses video fingerprints capture details and on-chain batch attestations as parts of its approach to data verification A video fingerprint can help identify a particular file, while capture information can provide context about where and when the footage was recorded On-chain records can help make certain attestations independently verifiable These methods serve different purposes and they do not automatically prove that every detail in a submission is accurate However, combining capture records with verification methods can help create a more traceable data process This matters when data is being collected across many locations and contributors For Physical AI useful information is important but knowing how that information was collected and recorded can also matter

Markets are closed but swaps are still open And that's the interesting part about tokenized stocks - Hold them in your own wallet - Trade even on Saturdays - Access crypto and tokenized stocks together with @1inch Wallet These aren't actual shares they are claims backed by real shares held by a licensed broker And 1inch has already routed $7B in RWA volume Traditional finance meets DeFi Use it here 1inch.com/swap?src=4663:USDG…

Have you guys ever think what if you could verify a platform reserves without blindly trusting its promises? That's what Proof of Reserves (PoR) is all about And @primus_labs uses its zkTLS technology to help verify real data from original sources while protecting private information. Why does this matter? Because crypto needs more transparency and less blind trust Primus is working to make verification easier, safer, and more private

I don't think he is right. Banks can be hacked faster than crypto, but hackers avoid it because tracing money from banks is very easy, and they can easily get caught. But in crypto? mfs transferred $6B, and no one knows who that guy was

Do you guys know? @vangrid_io bounty model brings data collection closer to people Collecting real-world data takes time Someone needs to visit a location capture the required footage and submit it for review This creates an interesting opportunity to connect data collection with a reward system Vangrid uses a bounty-based approach that allows specific data collection tasks to be requested. For example, a task might focus on capturing a particular type of environment or location Contributors can review the requirements collect the requested footage and submit it for consideration Accepted submissions may qualify for rewards in USDC, depending on the task terms This model connects the demand for real-world data with people who can help collect it It is worth remembering that rewards are not guaranteed, and each bounty can have its own requirements and acceptance rules Still, the idea is interesting because it creates a more direct connection between useful data collection and the people doing the work

Ran vitalik.eth through the @Nymrasi Privacy Scan 30/100, exposed Now the token is coming - $NYMRA launches tomorrow, 17:00 UTC on Pons - App already live on 4 chains - Stacked roadmap => Working product before the token

Take a beautiful mountain on Robinhood - Robinhood Chain is an Arbitrum-based Ethereum L2 - Mainnet launched July 1 2026 - Built for tokenized stocks and RWAs - No native token, gas in ETH => The growth - Early volume driven by memecoins - Pons and Noxa were main launchpads - CASHCAT became the flagship memecoin - Stock-memecoin pairs fueled speculation - Sept 4 fees peaked at $8.27M - One day fees beat Q2 crypto revenue - Peak daily transactions 10-13M - Active addresses hit 5.18M on Aug 12 - DEX volume crossed $1B on peak days => The downfall - Rugs and scam groups extracted millions - AMC CEO attacked tokenized AMC - Fees dropped over 99% from peak - Mid-Oct fees fell to $30-40K daily - Transactions fell over 40% - Active addresses dropped to 300-350K - Stock tokens held around $150M - USDG vaults held most TVL at ~7% => Current numbers - Early Nov 2026 TVL still near $1.07B - Chain live but mania phase over - Now driven by yield, stocks and perps - Boom-to-plateau in under 4 months What a downfall

Real-world data could become one of AI biggest needs We often talk about better AI models faster chips and more computing power But there is another important part of the equation: data from the real world A robot cannot rely only on information about how the world looks in theory Developers also need to understand real environments, including their shapes, layouts, and physical details @vangrid_io is building around this need by making smartphone-based real-world data collection part of its approach The idea is to capture physical spaces, process the footage and turn it into useful digital information Imagine the amount of information that could be -> Collected from offices -> Warehouses -> Residential buildings -> And other locations that are difficult to map at scale There is still a lot of work to do in this field, but the need is clear. As AI moves beyond screens and into the physical world, the demand for useful real-world data could become increasingly important

I just realized Binance is the exchange that got hacked 2 times, 1 in 2019, where they lost $40M, and the other is this $6B latest one There is no top CEX available, which got compromised for twice - Bybit 1 time 2025: ~ $1.6B stolen - Okx 0 time ~ No CEX hacked - Kraken 0 time ~ No CEX hacked - Coinbase 0 times: No CEX hacked - Bitget 1 time 2026: ~ $344 million stolen Still my funds is on binance haha

When people talk about mapping technology they usually think about roads, cars, and navigation apps But the physical world is much bigger than the roads we travel every day Robots may eventually need to move through warehouses office buildings hospitals factories and homes These places contain stairs narrow corridors doors obstacles and layouts that can change from one building to another @vangrid_io focuses on collecting real-world data that can help create digital representations of these environments Smartphone footage can be used to build textured 3D model giving developers another way to represent real places digitally