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🚀 Rugcheck just dropped a massive upgrade. Solana’s #1 rug defense — completely redesigned top to bottom. ⚡️ Instant risk scores ✅ Token verification 🕵️ Insider network detection 🔧 Free & enhanced APIs for builders Millions of scans. One Mission. Zero rugs.

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Rugcheck

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225,521 Aufrufe • vor 2 Monaten •via X (Twitter)

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Hey gm crypto and AI community, I’ve been following SocialFi since the early days, and I have to say Frog Defense is changing the game for Web3. This isn’t about short-term hype but about building long-term value. Powered by the Kaia blockchain and partnered with LINE Next, the project uses LINE’s massive reach with over 95% penetration across Asia to open the gates for real Web3 traffic. Let’s look closer. Kaia now has more than 45 million unique wallets and around 59 million dollars in transaction volume from payments alone. Frog Defense, currently the number one DApp on Kaia, is driving mass adoption by integrating Mini Apps directly into LINE chats. No extra downloads, no friction, just instant access for millions of users. Unlike TON’s global approach, Kaia focuses on localization. It started with 30 Mini DApps, and Frog Defense was among the first, launching on January 22, 2025. The FOFO token powers the ecosystem, distributing rewards through the Free-Gacha Center. It also integrates DePIN to verify real user activity and AI to optimize rewards. Over 10 million wallet users have turned everyday social interactions into on-chain value, helping Kaia surpass 150 DApps within months. The expansion plan follows an Uber-style model that starts in Taiwan, then expands to Japan, Korea, and Southeast Asia. With verified users through KYC, this creates a strong and trusted foundation for growth. Frog Defense isn’t just a game; it’s a platform designed to build a genuine Web3 community and eliminate fake traffic. You can join by registering on BingX here for a chance to win rewards from the 8,200 dollar prize pool: Submit your UID in-game and fill out the Season 2 Qualification Form. Invite friends to boost your airdrop potential and grow the ecosystem together. What do you think of this localization first approach? Drop your thoughts below. #BingXSpotBlast #FrogDefense
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Hey gm crypto and AI community, I’ve been following SocialFi since the early days, and I have to say Frog Defense is changing the game for Web3. This isn’t about short-term hype but about building long-term value. Powered by the Kaia blockchain and partnered with LINE Next, the project uses LINE’s massive reach with over 95% penetration across Asia to open the gates for real Web3 traffic. Let’s look closer. Kaia now has more than 45 million unique wallets and around 59 million dollars in transaction volume from payments alone. Frog Defense, currently the number one DApp on Kaia, is driving mass adoption by integrating Mini Apps directly into LINE chats. No extra downloads, no friction, just instant access for millions of users. Unlike TON’s global approach, Kaia focuses on localization. It started with 30 Mini DApps, and Frog Defense was among the first, launching on January 22, 2025. The FOFO token powers the ecosystem, distributing rewards through the Free-Gacha Center. It also integrates DePIN to verify real user activity and AI to optimize rewards. Over 10 million wallet users have turned everyday social interactions into on-chain value, helping Kaia surpass 150 DApps within months. The expansion plan follows an Uber-style model that starts in Taiwan, then expands to Japan, Korea, and Southeast Asia. With verified users through KYC, this creates a strong and trusted foundation for growth. Frog Defense isn’t just a game; it’s a platform designed to build a genuine Web3 community and eliminate fake traffic. You can join by registering on BingX here for a chance to win rewards from the 8,200 dollar prize pool: Submit your UID in-game and fill out the Season 2 Qualification Form. Invite friends to boost your airdrop potential and grow the ecosystem together. What do you think of this localization first approach? Drop your thoughts below. #BingXSpotBlast #FrogDefense

Lynn

33,611 Aufrufe • vor 10 Monaten

How a 22-year-old developer built a full 3D Jet Ski racing game in just 40 minutes with zero manual coding He used Claude Opus 5 to generate physics, WebGL 3D graphics, HUD, and audio in a single prompt and turned single-prompt gamedev into a high-margin income stream. Costs: $423 He launched a single-prompt generation workflow that built the entire HTML5 project from scratch: Top layer: A Three.js and WebGL rendering pipeline dynamically creates 3D water physics, real-time wave dynamics, dynamic lighting, and jet ski fluid mechanics, all written autonomously inside one output file without external frameworks. Bottom layer: The Claude Opus 5 engine processed a massive 690-million-token context window to generate the complete gameplay logic, collision handling, dynamic sound generation, controls, and UI layout directly from a detailed initial system prompt. The trend of single-prompt 3D game creation is rapidly exploding across media and indie development. The author monetizes this tech stack through three main channels: 1. Viral Content & Media Systems: Short-form breakdown videos driving massive reach, monetized via promo placements, prompt-pack access, and private developer communities. 2. Rapid Hypercasual Prototyping: Testing 10+ WebGL mechanics per day, flipping fully functional browser games on itch io or CodeCanyon, and licensing prototypes directly to casual game portals. 3. Interactive WebGL Client Solutions: Delivering custom 3D promotional browser games and interactive brand experiences for clients in 48 hours instead of weeks. First month results: > WebGL games generated: 24 > Viral impressions generated: 3.8M+ > Total revenue across licensing & content: $21,400 The AI completely automated the core development lifecycle: Claude Opus 5 built the physics engine, rendered 3D graphics in WebGL, hooked up audio controllers, and generated interactive browser logic with zero manual line-by-line coding. Bookmark it and check article 👇
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How a 22-year-old developer built a full 3D Jet Ski racing game in just 40 minutes with zero manual coding He used Claude Opus 5 to generate physics, WebGL 3D graphics, HUD, and audio in a single prompt and turned single-prompt gamedev into a high-margin income stream. Costs: $423 He launched a single-prompt generation workflow that built the entire HTML5 project from scratch: Top layer: A Three.js and WebGL rendering pipeline dynamically creates 3D water physics, real-time wave dynamics, dynamic lighting, and jet ski fluid mechanics, all written autonomously inside one output file without external frameworks. Bottom layer: The Claude Opus 5 engine processed a massive 690-million-token context window to generate the complete gameplay logic, collision handling, dynamic sound generation, controls, and UI layout directly from a detailed initial system prompt. The trend of single-prompt 3D game creation is rapidly exploding across media and indie development. The author monetizes this tech stack through three main channels: 1. Viral Content & Media Systems: Short-form breakdown videos driving massive reach, monetized via promo placements, prompt-pack access, and private developer communities. 2. Rapid Hypercasual Prototyping: Testing 10+ WebGL mechanics per day, flipping fully functional browser games on itch io or CodeCanyon, and licensing prototypes directly to casual game portals. 3. Interactive WebGL Client Solutions: Delivering custom 3D promotional browser games and interactive brand experiences for clients in 48 hours instead of weeks. First month results: > WebGL games generated: 24 > Viral impressions generated: 3.8M+ > Total revenue across licensing & content: $21,400 The AI completely automated the core development lifecycle: Claude Opus 5 built the physics engine, rendered 3D graphics in WebGL, hooked up audio controllers, and generated interactive browser logic with zero manual line-by-line coding. Bookmark it and check article 👇

Ridark

11,592 Aufrufe • vor 1 Monat

I told you to claim your free 16GB NVIDIA GPU for learning Local LLMs. Now I’m going to show you how to double its inference speed without touching the hardware. Google Colab gives you an enterprise grade NVIDIA Tesla T4 GPU for free, roughly 4 hours every single day. It is the absolute perfect sandbox for learning AI engineering, testing inference flags, and pushing massive context windows. The local AI timeline is moving way too fast. If you aren't using Multi Token Prediction (MTP) yet, you are leaving massive performance on the table. I just pushed DeepMind’s Gemma 4 26B to 64.9 t/s on this exact free tier. Let's look at the raw benchmark data running on an Ubuntu Linux environment with the latest compiled llama.cpp binaries and quantized GGUFs from Unsloth via HuggingFace: # Qwen 3.5 9B (Dense): Base: [ Prompt: 626.7 t/s | Generation: 21.0 t/s ] With MTP: [ Prompt: 539.1 t/s | Generation: 24.8 t/s ] # Gemma 4 26B QAT (MoE): Base: [ Prompt: 634.2 t/s | Generation: 48.3 t/s ] With MTP: [ Prompt: 572.1 t/s | Generation: 64.9 t/s ] If you are paying attention, this single Colab notebook reveals 3 massive observations about the current state of local LLMs: # 1. The MTP Speedup (Software Overclocking) Standard autoregressive decoding guesses one token at a time. MTP acts like a highly optimized, built in speculative decoder. It predicts multiple future tokens at once and the main model verifies them in parallel. The result? Zero accuracy loss and a massive throughput increase. Gemma jumped from 48 to 65 t/s just by flipping a flag. # 2. The MoE Paradox (Bigger is Faster) How does a 26B parameter model absolutely destroy a 9B model in raw speed on the exact same hardware? Architecture. Qwen 3.5 9B is a dense model. it activates all 9 billion parameters for every single token. Gemma 4 26B is a Mixture of Experts (MoE) model. It routes data efficiently, activating only 4B parameters per token. You get the reasoning capabilities of a 26B model with the compute cost of a 4B model. 3. Thinking Efficiency When I ran the exact same complex prompt on both models, the larger MoE spent significantly fewer "thinking" tokens to arrive at the correct answer. A smarter model doesn't just give better answers; it gets to the point faster, saving you compute cycles and preserving your context window. # Want to run this yourself? Here are the exact llama.cpp CLI commands. For Qwen (MTP is baked into the main model): ./llama-cli -m Qwen3.5-9B-UD-Q4_K_XL.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 For Gemma (Using a separate lightweight draft model): ./llama-cli -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --model-draft mtp-gemma-4-26B-A4B-it.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 Stop waiting for a $3,000 rig. Boot up Colab, pull these models, and start building your stack. I’ve put together a completely free, cell by cell Google Colab notebook that automates this entire workflow so you can test it yourself in 5 minutes and learn. Link to the notebook is in the comments below. Experiemt with different MTP parameters, context windows and post your results in the comments.
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I told you to claim your free 16GB NVIDIA GPU for learning Local LLMs. Now I’m going to show you how to double its inference speed without touching the hardware. Google Colab gives you an enterprise grade NVIDIA Tesla T4 GPU for free, roughly 4 hours every single day. It is the absolute perfect sandbox for learning AI engineering, testing inference flags, and pushing massive context windows. The local AI timeline is moving way too fast. If you aren't using Multi Token Prediction (MTP) yet, you are leaving massive performance on the table. I just pushed DeepMind’s Gemma 4 26B to 64.9 t/s on this exact free tier. Let's look at the raw benchmark data running on an Ubuntu Linux environment with the latest compiled llama.cpp binaries and quantized GGUFs from Unsloth via HuggingFace: # Qwen 3.5 9B (Dense): Base: [ Prompt: 626.7 t/s | Generation: 21.0 t/s ] With MTP: [ Prompt: 539.1 t/s | Generation: 24.8 t/s ] # Gemma 4 26B QAT (MoE): Base: [ Prompt: 634.2 t/s | Generation: 48.3 t/s ] With MTP: [ Prompt: 572.1 t/s | Generation: 64.9 t/s ] If you are paying attention, this single Colab notebook reveals 3 massive observations about the current state of local LLMs: # 1. The MTP Speedup (Software Overclocking) Standard autoregressive decoding guesses one token at a time. MTP acts like a highly optimized, built in speculative decoder. It predicts multiple future tokens at once and the main model verifies them in parallel. The result? Zero accuracy loss and a massive throughput increase. Gemma jumped from 48 to 65 t/s just by flipping a flag. # 2. The MoE Paradox (Bigger is Faster) How does a 26B parameter model absolutely destroy a 9B model in raw speed on the exact same hardware? Architecture. Qwen 3.5 9B is a dense model. it activates all 9 billion parameters for every single token. Gemma 4 26B is a Mixture of Experts (MoE) model. It routes data efficiently, activating only 4B parameters per token. You get the reasoning capabilities of a 26B model with the compute cost of a 4B model. 3. Thinking Efficiency When I ran the exact same complex prompt on both models, the larger MoE spent significantly fewer "thinking" tokens to arrive at the correct answer. A smarter model doesn't just give better answers; it gets to the point faster, saving you compute cycles and preserving your context window. # Want to run this yourself? Here are the exact llama.cpp CLI commands. For Qwen (MTP is baked into the main model): ./llama-cli -m Qwen3.5-9B-UD-Q4_K_XL.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 For Gemma (Using a separate lightweight draft model): ./llama-cli -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --model-draft mtp-gemma-4-26B-A4B-it.gguf -p "Explain quantum computing." -n 2000 -c 8000 -ngl 99 -fa on --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.7 Stop waiting for a $3,000 rig. Boot up Colab, pull these models, and start building your stack. I’ve put together a completely free, cell by cell Google Colab notebook that automates this entire workflow so you can test it yourself in 5 minutes and learn. Link to the notebook is in the comments below. Experiemt with different MTP parameters, context windows and post your results in the comments.

Alok

170,442 Aufrufe • vor 2 Monaten

I still can't wrap my head around why not everyone is using this approach yet. Elon Musk already reposted this guide, and this exact agent setup earned me $7,100 in net profit for the month Grok Bot + Pumpfun + Robinhood Week 1 + $1,210 Week 2 + $2,560 Week 3 + $4,790 Week 4 + $7,100 Eight Grok desktop agents cost $200 a month, but they completely replace an entire trading floor. Maintaining such a staff in a crypto fund typically costs around $600,000 a year in analyst salaries alone A 5:30 AM morning call. I don't even participate in it How tasks are distributed among agents: SEARCH: monitors real-time insider information, scans developer repositories on GitHub, and tracks unindexed Telegram channels before crypto Twitter finds out RISK: analyzes smart contracts, minting rights, and liquidity pool (LP) locks, instantly flagging honeypots before executing a trade SNIPER: executes transactions on the blockchain at high speed right at the exact millisecond the system confirms token safety WHALE: tracks large player wallets and records hidden asset accumulation in real time RUG: monitors developer wallet activity 24/7 and instantly dumps the entire asset volume if they touch the liquidity pool EXIT: manages dynamic stop-losses and gradually takes profits as liquidity grows SHILL: measures social media activity, pulse speed, and key influencer mentions HEAD OF DESK: doesn't trade on its own it routes data streams, checks transmissions, and brings me only the ready-made decisions that require human intervention Over the course of a month, the system analyzed 654 tokens, processed 165 qualifying options, and executed 81 successful trades. Result: a net profit of $7,100 (already including all fees). Each agent has its own virtual browser, terminal, and local cloud memory, so the trading floor keeps running even when my laptop is closed Setup turned out to be much simpler than it seems: 1. Download Grok Bot and create your "Head of Desk" 2. Write text instructions for the remaining 7 agents just like you would assign tasks to new employees 3. Run the workflow once on your screen so they can pick up the algorithm 4. Connect Telegram and cryptocurrency wallet webhooks No VPS, lengthy coding, or waiting for developers. Crypto trading used to be associated with 17 hours in front of a monitor, paid closed groups, and constant exhaustion. It took me just one evening to set everything up Save this guide before opening your next trade
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I still can't wrap my head around why not everyone is using this approach yet. Elon Musk already reposted this guide, and this exact agent setup earned me $7,100 in net profit for the month Grok Bot + Pumpfun + Robinhood Week 1 + $1,210 Week 2 + $2,560 Week 3 + $4,790 Week 4 + $7,100 Eight Grok desktop agents cost $200 a month, but they completely replace an entire trading floor. Maintaining such a staff in a crypto fund typically costs around $600,000 a year in analyst salaries alone A 5:30 AM morning call. I don't even participate in it How tasks are distributed among agents: SEARCH: monitors real-time insider information, scans developer repositories on GitHub, and tracks unindexed Telegram channels before crypto Twitter finds out RISK: analyzes smart contracts, minting rights, and liquidity pool (LP) locks, instantly flagging honeypots before executing a trade SNIPER: executes transactions on the blockchain at high speed right at the exact millisecond the system confirms token safety WHALE: tracks large player wallets and records hidden asset accumulation in real time RUG: monitors developer wallet activity 24/7 and instantly dumps the entire asset volume if they touch the liquidity pool EXIT: manages dynamic stop-losses and gradually takes profits as liquidity grows SHILL: measures social media activity, pulse speed, and key influencer mentions HEAD OF DESK: doesn't trade on its own it routes data streams, checks transmissions, and brings me only the ready-made decisions that require human intervention Over the course of a month, the system analyzed 654 tokens, processed 165 qualifying options, and executed 81 successful trades. Result: a net profit of $7,100 (already including all fees). Each agent has its own virtual browser, terminal, and local cloud memory, so the trading floor keeps running even when my laptop is closed Setup turned out to be much simpler than it seems: 1. Download Grok Bot and create your "Head of Desk" 2. Write text instructions for the remaining 7 agents just like you would assign tasks to new employees 3. Run the workflow once on your screen so they can pick up the algorithm 4. Connect Telegram and cryptocurrency wallet webhooks No VPS, lengthy coding, or waiting for developers. Crypto trading used to be associated with 17 hours in front of a monitor, paid closed groups, and constant exhaustion. It took me just one evening to set everything up Save this guide before opening your next trade

Bober_smart

92,184 Aufrufe • vor 24 Tagen

$QUBIC The 3 Performance Scenarios (2026 Projections) Currently, Qubic is floating with a market cap around $100M to $150M. Compared to AI giants like Bittensor ($TAO) which have already hit multi-billion dollar valuations, the upside potential is mathematically massive. 1. The "Fundamental Catch-up" Scenario (Probability: High) • Target: Reaching mid-cap AI status. • Performance: 10x to 15x • Price Target: ~$0.000010 - $0.000012 • Catalyst: The massive adoption of Oracle Machines (launched this Jan 21st) and real-world network usage for training lightweight AI models. At this stage, Qubic enters the Global Top 100. 2. The "Euphoria / Tier-1 Listing" Scenario (Probability: Moderate) • Target: Listing on major exchanges (Binance/Coinbase) and the explosion of the DePIN/AI narrative. • Performance: 40x to 60x • Price Target: ~$0.000040 - $0.000050 • Catalyst: This is where the 55% burn rate leverage hits hard. If demand surges while supply is aggressively burned by smart contract fees and Doge/XMR mining buybacks, we witness a "supply squeeze." Qubic begins to rival the peak valuations of previous cycle leaders. 3. The "AI Sovereignty" Scenario (Probability: Speculative) • Target: Aigarth becomes a credible, decentralized alternative to closed-source "Big Tech" models. • Performance: 100x and beyond • Price Target: ~$0.000080+ (deleting two zeros) • Catalyst: Qubic becomes the base layer for the "Internet of Machines." The token is no longer just a currency; it becomes "digital oil" required to power global decentralized intelligence. Why This Performance is Possible (The Analyst's Alpha) What sets Qubic apart from other "AI coins" is its internal economic engine: 1. Forced Deflation: With the activation of execution fees on January 14, 2026, every on-chain DeFi interaction destroys tokens. In a bull run, on-chain activity spikes by 1000%, mechanically accelerating scarcity. 2. Real Yield (uPoW): In 2026, investors are fleeing "vaporware." Qubic generates value through "Useful Proof-of-Work." The imminent shift to Doge mining (alongside AI) creates a unique liquidity bridge with one of the largest retail ecosystems. 3. Accessibility: The "MetaMask Snap" and Solana/L2 bridges have finally solved Qubic’s technical isolation. Liquidity can now enter with a single click. Analyst's Verdict Qubic is the ultimate "High-Risk, High-Reward" play of 2026. It’s not a coin for a 24-hour flip; it’s a bet on the decentralized AI infrastructure of the future. Expert Tip: In this 2026 bull run, don’t just watch the price. Watch the weekly burn rate. If the burn rate exceeds emissions (which is mathematically possible by Q2), we won't just be in a bull run we'll be in a parabolic "hyper-deflationary" event. And you? What is your prediction?
0:18

$QUBIC The 3 Performance Scenarios (2026 Projections) Currently, Qubic is floating with a market cap around $100M to $150M. Compared to AI giants like Bittensor ($TAO) which have already hit multi-billion dollar valuations, the upside potential is mathematically massive. 1. The "Fundamental Catch-up" Scenario (Probability: High) • Target: Reaching mid-cap AI status. • Performance: 10x to 15x • Price Target: ~$0.000010 - $0.000012 • Catalyst: The massive adoption of Oracle Machines (launched this Jan 21st) and real-world network usage for training lightweight AI models. At this stage, Qubic enters the Global Top 100. 2. The "Euphoria / Tier-1 Listing" Scenario (Probability: Moderate) • Target: Listing on major exchanges (Binance/Coinbase) and the explosion of the DePIN/AI narrative. • Performance: 40x to 60x • Price Target: ~$0.000040 - $0.000050 • Catalyst: This is where the 55% burn rate leverage hits hard. If demand surges while supply is aggressively burned by smart contract fees and Doge/XMR mining buybacks, we witness a "supply squeeze." Qubic begins to rival the peak valuations of previous cycle leaders. 3. The "AI Sovereignty" Scenario (Probability: Speculative) • Target: Aigarth becomes a credible, decentralized alternative to closed-source "Big Tech" models. • Performance: 100x and beyond • Price Target: ~$0.000080+ (deleting two zeros) • Catalyst: Qubic becomes the base layer for the "Internet of Machines." The token is no longer just a currency; it becomes "digital oil" required to power global decentralized intelligence. Why This Performance is Possible (The Analyst's Alpha) What sets Qubic apart from other "AI coins" is its internal economic engine: 1. Forced Deflation: With the activation of execution fees on January 14, 2026, every on-chain DeFi interaction destroys tokens. In a bull run, on-chain activity spikes by 1000%, mechanically accelerating scarcity. 2. Real Yield (uPoW): In 2026, investors are fleeing "vaporware." Qubic generates value through "Useful Proof-of-Work." The imminent shift to Doge mining (alongside AI) creates a unique liquidity bridge with one of the largest retail ecosystems. 3. Accessibility: The "MetaMask Snap" and Solana/L2 bridges have finally solved Qubic’s technical isolation. Liquidity can now enter with a single click. Analyst's Verdict Qubic is the ultimate "High-Risk, High-Reward" play of 2026. It’s not a coin for a 24-hour flip; it’s a bet on the decentralized AI infrastructure of the future. Expert Tip: In this 2026 bull run, don’t just watch the price. Watch the weekly burn rate. If the burn rate exceeds emissions (which is mathematically possible by Q2), we won't just be in a bull run we'll be in a parabolic "hyper-deflationary" event. And you? What is your prediction?

Rudy Nakamoto ₿ ױ

10,602 Aufrufe • vor 8 Monaten

One trader turned Polymarket into a money printer I’m not exaggerating. His results are honestly hard to believe: he started with $5 and scaled it to $3.7M He’s not an insider Not friends with Trump or Musk He’s a programmer who wrote a script Profile → → I opened his script and was genuinely surprised No massive databases No insanely complex infrastructure Nothing “rocket science” level I spent 5 hours breaking down his strategy His FULL strategy: 1. “Free money” via NO bets The bot targets near-impossible outcomes and stacks small, high-probability wins. This isn’t gambling - it’s closer to systematic risk underwriting. 2. Logic arbitrage If event A must logically lead to event B, and the market hasn’t priced that in yet, the bot enters instantly. While you’re still reading the headline, the imbalance is already gone. No human can compete with that speed. 3. The real edge - sports and politics These markets are flooded with retail money and delayed or emotional reactions. The bot lives in the spread, clipping tiny profits from every mismatch. Scale matters Tens of thousands of micro-trades every month, each worth just pennies. Stacked over time, they compound into seven figures. Bottom line There’s a real bot war happening on Polymarket. Crypto markets are already slowed down by fees and heavy competition, but sports markets are still pure chaos - easy money for those who automate.
0:19

One trader turned Polymarket into a money printer I’m not exaggerating. His results are honestly hard to believe: he started with $5 and scaled it to $3.7M He’s not an insider Not friends with Trump or Musk He’s a programmer who wrote a script Profile → → I opened his script and was genuinely surprised No massive databases No insanely complex infrastructure Nothing “rocket science” level I spent 5 hours breaking down his strategy His FULL strategy: 1. “Free money” via NO bets The bot targets near-impossible outcomes and stacks small, high-probability wins. This isn’t gambling - it’s closer to systematic risk underwriting. 2. Logic arbitrage If event A must logically lead to event B, and the market hasn’t priced that in yet, the bot enters instantly. While you’re still reading the headline, the imbalance is already gone. No human can compete with that speed. 3. The real edge - sports and politics These markets are flooded with retail money and delayed or emotional reactions. The bot lives in the spread, clipping tiny profits from every mismatch. Scale matters Tens of thousands of micro-trades every month, each worth just pennies. Stacked over time, they compound into seven figures. Bottom line There’s a real bot war happening on Polymarket. Crypto markets are already slowed down by fees and heavy competition, but sports markets are still pure chaos - easy money for those who automate.

winkle.

645,396 Aufrufe • vor 8 Monaten

launched a drone swarm where each drone is a Grok agent, and 8 days later, my profit reached $8,765 I delegated the management of the trading terminal to an autonomous structure consisting of 8 core Grok agents and 54 auxiliary drone agents. The latter constantly scan the network, gather raw data, and instantly redirect it to the main 8 While the morning sync meeting takes place at 6 AM, which I don't even attend, the system is already hard at work Hierarchy and responsibilities of the key agents: HEAD OF DESK: The brain of the operation. Never makes trades himself, but filters data streams, checks transmission quality, and issues a final verdict requiring manual approval SEARCH: Hunts for actual alpha, studies fresh commits in GitHub repositories, and tracks hidden Telegram signals before anyone else notices them RISK: Conducts smart contract audits, checks minting functions and liquidity pool (LP) lock functions, filtering out scams and honeypots even before entry SNIPER: Responsible for execution (instantly sends high-speed on-chain orders at the exact millisecond the risk check is completed) WHALE: Hunts "smart money" wallets, tracking large insider purchases in real-time RUG: Monitors developer activity around the clock and instantly dumps assets if they try to pull liquidity (LP) EXIT: Manages the dynamic trailing stop, withdrawing capital step-by-step as market liquidity grows SHILL: Analyzes social noise, impulse intensity, and key calls from top influencers All of this huge routine work of collecting information and delivering it to the core agents is provided by those very 54 drone agents operating in the background While I was sleeping, the autonomous complex managed to analyze 187 tokens, selected the 27 most promising configurations, and closed 8 successful trades. The net profit was $8,765 Each agent operates in an isolated environment: it has its own virtual browser, terminal, and local cloud memory. The trading floor operates 24/7, even when my laptop is completely turned off How to deploy such a system in one evening: 1. Launch the Grok Bot and set up the main agent (Head of Desk) 2. Distribute roles among the other 7 agents, writing out tasks for them in plain human language, as if you were hiring live interns 3. Run the starting workflow on your screen, allowing them to adopt the algorithm of actions 4. Integrate alerts into Telegram and connect wallets via webhooks No complicated VPS setups, writing lines of code, or tedious waiting for developers. Forget about 16 hours in front of the monitor, buying expensive private chats, and burnout (it took me just one evening to fully automate the process) Add this to your bookmarks, you will need these settings before your next trade
0:20

launched a drone swarm where each drone is a Grok agent, and 8 days later, my profit reached $8,765 I delegated the management of the trading terminal to an autonomous structure consisting of 8 core Grok agents and 54 auxiliary drone agents. The latter constantly scan the network, gather raw data, and instantly redirect it to the main 8 While the morning sync meeting takes place at 6 AM, which I don't even attend, the system is already hard at work Hierarchy and responsibilities of the key agents: HEAD OF DESK: The brain of the operation. Never makes trades himself, but filters data streams, checks transmission quality, and issues a final verdict requiring manual approval SEARCH: Hunts for actual alpha, studies fresh commits in GitHub repositories, and tracks hidden Telegram signals before anyone else notices them RISK: Conducts smart contract audits, checks minting functions and liquidity pool (LP) lock functions, filtering out scams and honeypots even before entry SNIPER: Responsible for execution (instantly sends high-speed on-chain orders at the exact millisecond the risk check is completed) WHALE: Hunts "smart money" wallets, tracking large insider purchases in real-time RUG: Monitors developer activity around the clock and instantly dumps assets if they try to pull liquidity (LP) EXIT: Manages the dynamic trailing stop, withdrawing capital step-by-step as market liquidity grows SHILL: Analyzes social noise, impulse intensity, and key calls from top influencers All of this huge routine work of collecting information and delivering it to the core agents is provided by those very 54 drone agents operating in the background While I was sleeping, the autonomous complex managed to analyze 187 tokens, selected the 27 most promising configurations, and closed 8 successful trades. The net profit was $8,765 Each agent operates in an isolated environment: it has its own virtual browser, terminal, and local cloud memory. The trading floor operates 24/7, even when my laptop is completely turned off How to deploy such a system in one evening: 1. Launch the Grok Bot and set up the main agent (Head of Desk) 2. Distribute roles among the other 7 agents, writing out tasks for them in plain human language, as if you were hiring live interns 3. Run the starting workflow on your screen, allowing them to adopt the algorithm of actions 4. Integrate alerts into Telegram and connect wallets via webhooks No complicated VPS setups, writing lines of code, or tedious waiting for developers. Forget about 16 hours in front of the monitor, buying expensive private chats, and burnout (it took me just one evening to fully automate the process) Add this to your bookmarks, you will need these settings before your next trade

Bober_smart

30,834 Aufrufe • vor 26 Tagen

Prediction Market is one of the leading Web3 niches in 2024! With about $4 Billion in trading volume, $192 Million in TVL and millions of users in 2024, prediction protocols have been showing tremendous growth and attracting user adoption in Web3. PolyMarket seems to be leading the pack, with over $175M in TVL, and backing from Vitalik Buterin. However, a majority of Prediction Markets, including PolyMarket, currently lacks the flexibility and capital efficiency required for seamless transactions. Also, they are all majorly focused on driving Web2 users thus neglecting the need for markets that cater for short-term, high-risk investments from Web3 Degens. To tackle these flaws, there's a need for a revolutionary contender that understands the need of Web3 Chads That's where Predict Hub comes in PredictHub is a prediction Market that transforms real world events into opportunities for everyone to participate and forecast. Launching on Arbitrum, PredictHub is already catching the attention of major players in the Space by offering something PolyMarket and others don't - Flexibility and Incentives. By offering fast market updates and innovative prediction category like ETF Forecasts, PredictHub is changing how we interact with Prediction Markets. But then, here's where it gets more interesting; PredictHub offer users a unique point system, where you don't just make predictions, you also earn rewards. The more you Predict, the more you earn. These rewards are 2-fold: Nova and Orbit Points. Nova Points are earned by traders based on their trading activity and their leaderboard ranking. Orbit Points, on the other hand, are earned by users who provide liquidity, based on their LP size and duration. Other Point systems include PolyMarket User Points, Leaderboard Bonus and Market Multipliers. These rewards offer users more competitive edge than other prediction markets. Apart from these rewards, PredictHub features a unique 3-tier referral system, rewarding users with even more as you invite your friends. The more friends you bring, the greater the rewards. On top of these, PredictHub focuses on USDC and a wide-range of yield bearing assets like GLP, gUSDC, and sUSDe, enabling users to optimise their earning while holding assets across Networks. Exciting, right? PredictHub is in its Testnet phase and you can start earning Points Right away 🔅 Here's how to Get Started on PredictHub: 1. Go to 2. Request Faucet 3. Start making predictions and earning Points Easy-Peasy ✅ More Info can be gotten from Predict Hub All eyes are on PredictHub as the fix for the flaws of Prediction Market Protocols. With its unique approach targeting untapped niches that most existing prediction markets have yet to explore, I believe the Protocol has the potential to become a breakout success I will be placing good Predictions to Position 🚀🚀🚀
0:11

Prediction Market is one of the leading Web3 niches in 2024! With about $4 Billion in trading volume, $192 Million in TVL and millions of users in 2024, prediction protocols have been showing tremendous growth and attracting user adoption in Web3. PolyMarket seems to be leading the pack, with over $175M in TVL, and backing from Vitalik Buterin. However, a majority of Prediction Markets, including PolyMarket, currently lacks the flexibility and capital efficiency required for seamless transactions. Also, they are all majorly focused on driving Web2 users thus neglecting the need for markets that cater for short-term, high-risk investments from Web3 Degens. To tackle these flaws, there's a need for a revolutionary contender that understands the need of Web3 Chads That's where Predict Hub comes in PredictHub is a prediction Market that transforms real world events into opportunities for everyone to participate and forecast. Launching on Arbitrum, PredictHub is already catching the attention of major players in the Space by offering something PolyMarket and others don't - Flexibility and Incentives. By offering fast market updates and innovative prediction category like ETF Forecasts, PredictHub is changing how we interact with Prediction Markets. But then, here's where it gets more interesting; PredictHub offer users a unique point system, where you don't just make predictions, you also earn rewards. The more you Predict, the more you earn. These rewards are 2-fold: Nova and Orbit Points. Nova Points are earned by traders based on their trading activity and their leaderboard ranking. Orbit Points, on the other hand, are earned by users who provide liquidity, based on their LP size and duration. Other Point systems include PolyMarket User Points, Leaderboard Bonus and Market Multipliers. These rewards offer users more competitive edge than other prediction markets. Apart from these rewards, PredictHub features a unique 3-tier referral system, rewarding users with even more as you invite your friends. The more friends you bring, the greater the rewards. On top of these, PredictHub focuses on USDC and a wide-range of yield bearing assets like GLP, gUSDC, and sUSDe, enabling users to optimise their earning while holding assets across Networks. Exciting, right? PredictHub is in its Testnet phase and you can start earning Points Right away 🔅 Here's how to Get Started on PredictHub: 1. Go to 2. Request Faucet 3. Start making predictions and earning Points Easy-Peasy ✅ More Info can be gotten from Predict Hub All eyes are on PredictHub as the fix for the flaws of Prediction Market Protocols. With its unique approach targeting untapped niches that most existing prediction markets have yet to explore, I believe the Protocol has the potential to become a breakout success I will be placing good Predictions to Position 🚀🚀🚀

InfoSpace OG

19,674 Aufrufe • vor 2 Jahren

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂
0:18

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,919 Aufrufe • vor 2 Jahren

I just built a Claude skill that audits your entire Meta Ads account in under 5 minutes 🤯 Export your CSV from Ads Manager → drop it into Claude → get back an account health score, a wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Meta Ads but have no idea which creatives are bleeding budget, which audiences stopped converting, or why CPA crept up 40% last month. If your weekly Meta workflow still looks like this — open Ads Manager, stare at the dashboard, sort by spend, squint at CTR columns, export a CSV you never actually analyze, close the tab and hope for the best... This skill runs the full audit for you: → Reads your Meta Ads CSV export (campaign, ad set, and ad-level data) → Scores your account 0-100 across 6 dimensions: creative health, audience efficiency, budget allocation, funnel performance, fatigue signals, and offer effectiveness → Calculates your exact wasted spend in dollars: every ad with spend and zero purchases → Identifies creative fatigue before it tanks your CPA (declining CTR + rising frequency + increasing cost) → Flags audience overlap and saturation across ad sets → Delivers a top-5 fix list ranked by how much money each fix saves you No API connection. No third-party tool access to your ad account. No risk of Meta flagging your account. What you get: →A full account health score (0-100) with a grade for each dimension →Your exact wasted spend in dollars (not a vague "you're overspending") →Creative fatigue signals with specific ads to kill or refresh this week →Audience efficiency analysis showing which ad sets are cannibalizing each other →A prioritized fix list ranked by budget impact (do #1 first, save the most money) One CSV export, one prompt. Five minutes. I put together the full playbook with the skill file, the scoring methodology, and the exact CSV export steps from Ads Manager. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)
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I just built a Claude skill that audits your entire Meta Ads account in under 5 minutes 🤯 Export your CSV from Ads Manager → drop it into Claude → get back an account health score, a wasted spend breakdown, and a prioritized fix list telling you exactly what to change this week. All inside Claude Cowork. Perfect for DTC brands and agencies who are running Meta Ads but have no idea which creatives are bleeding budget, which audiences stopped converting, or why CPA crept up 40% last month. If your weekly Meta workflow still looks like this — open Ads Manager, stare at the dashboard, sort by spend, squint at CTR columns, export a CSV you never actually analyze, close the tab and hope for the best... This skill runs the full audit for you: → Reads your Meta Ads CSV export (campaign, ad set, and ad-level data) → Scores your account 0-100 across 6 dimensions: creative health, audience efficiency, budget allocation, funnel performance, fatigue signals, and offer effectiveness → Calculates your exact wasted spend in dollars: every ad with spend and zero purchases → Identifies creative fatigue before it tanks your CPA (declining CTR + rising frequency + increasing cost) → Flags audience overlap and saturation across ad sets → Delivers a top-5 fix list ranked by how much money each fix saves you No API connection. No third-party tool access to your ad account. No risk of Meta flagging your account. What you get: →A full account health score (0-100) with a grade for each dimension →Your exact wasted spend in dollars (not a vague "you're overspending") →Creative fatigue signals with specific ads to kill or refresh this week →Audience efficiency analysis showing which ad sets are cannibalizing each other →A prioritized fix list ranked by budget impact (do #1 first, save the most money) One CSV export, one prompt. Five minutes. I put together the full playbook with the skill file, the scoring methodology, and the exact CSV export steps from Ads Manager. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

36,154 Aufrufe • vor 5 Monaten

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto—focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( – $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > ( - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > ( — Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules >Tropical Tidbits ( - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high >Climate Reanalyzer ( - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities >Windy ( - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online ( - 100+ years of historical location data NOAA Weather Prediction ? >Center ( - short forecasts for precipitation, anomalies. Climate Prediction Center ( - long-term ENSO, droughts >Open-Meteo ( - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. >OpenWeatherMap ( = Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. >Visual Crossing Weather ( - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities >WeatherAPI. com ( - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information
0:14

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto—focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( – $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > ( - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > ( — Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules >Tropical Tidbits ( - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high >Climate Reanalyzer ( - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities >Windy ( - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online ( - 100+ years of historical location data NOAA Weather Prediction ? >Center ( - short forecasts for precipitation, anomalies. Climate Prediction Center ( - long-term ENSO, droughts >Open-Meteo ( - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. >OpenWeatherMap ( = Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. >Visual Crossing Weather ( - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities >WeatherAPI. com ( - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

Aleiah

77,547 Aufrufe • vor 8 Monaten

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information
0:14

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

Valentin

17,150 Aufrufe • vor 4 Monaten

An Anthropic paid for my espresso at Sightglass when he saw my screen. I was backtesting a Claude-built arbitrage system. Terminal open. Live trades firing. He glanced over. Stopped walking. That is not TradingView. What framework is that actually running. Claude Code. Three repos. One prompt. $20 per month. He sat down across from me without asking. I work on AlphaGo successor models. We test reinforcement agents for market simulation. You are running something similar but you let Claude write the strategy layer. Not just strategy. Detection. github/warproxxx/poly_data 86 million Polymarket trades. Every wallet. Every position. Every timestamp. You are feeding Claude transaction history and letting it identify asymmetric behavior patterns. Then cloning the profitable ones in real time. Exactly. One prompt: Scan every wallet with 150+ trades and ROI above 65%. Rank by consistency. Export top 40. Claude processed 18,600 wallets in 6 minutes. Returned 38. Top 15 wallets outperformed the bottom 18,000 combined. That is not analysis. That is alpha concentration. Precisely. And you did not write the ranking algorithm. Claude built it. I just connected it to execution logic. Then I opened the second repo. github/Polymarket/polymarket-cli Official Rust CLI. No auth required for reads. 600+ markets scanned in under 3 minutes. Claude scores: liquidity depth, pricing gap, resolution timeline. 512 markets reduced to 28 before capital moves. 94.5% filtered out before entry consideration. A notification hit. Position filled. +$127. How does it decide entry timing. Four agents. No shared state. Arbitrage detector, convergence scanner, whale mirror, volume surge tracker. 3 agents agree: full position. 2 agree: half size. Split vote: skip. Consensus filtering alone eliminated 46% of losses in backtest. And exit logic. The 38 top wallets almost never hold to settlement. 89% exit early. Average 71% of max profit captured. Immediate redeployment. My bot exits at 82% of projected move or 4x volume spike. Whichever hits first. You built a whale copy system that exits before the whales do. Correct. He set his coffee down slowly. How many trades per day. 12 average. Most rejected by filters before I see notifications. My setup: Claude API: $20/mo VPS Frankfurt: $6/mo poly_data: free polymarket-cli: free $300 seed capital. 34 days ago. $18,700 now. 318 trades. 76% win rate. Sharpe 2.61. I have not modified it in 34 days. He stared at the terminal without blinking. This is exactly what our adversarial testing team models. Market-adaptive agents with autonomous strategy evolution. Except you deployed it live. He messaged me the next day. Would you consider a conversation with our safety research lead. I told him this post is the conversation. Too late to contain. The edge is not predicting markets. It is identifying who already wins and mirroring them before the pattern shifts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Money" 2. Like and retweet this post. 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the whale mirror system this week. Start with $200. Scale on evidence.
0:19

An Anthropic paid for my espresso at Sightglass when he saw my screen. I was backtesting a Claude-built arbitrage system. Terminal open. Live trades firing. He glanced over. Stopped walking. That is not TradingView. What framework is that actually running. Claude Code. Three repos. One prompt. $20 per month. He sat down across from me without asking. I work on AlphaGo successor models. We test reinforcement agents for market simulation. You are running something similar but you let Claude write the strategy layer. Not just strategy. Detection. github/warproxxx/poly_data 86 million Polymarket trades. Every wallet. Every position. Every timestamp. You are feeding Claude transaction history and letting it identify asymmetric behavior patterns. Then cloning the profitable ones in real time. Exactly. One prompt: Scan every wallet with 150+ trades and ROI above 65%. Rank by consistency. Export top 40. Claude processed 18,600 wallets in 6 minutes. Returned 38. Top 15 wallets outperformed the bottom 18,000 combined. That is not analysis. That is alpha concentration. Precisely. And you did not write the ranking algorithm. Claude built it. I just connected it to execution logic. Then I opened the second repo. github/Polymarket/polymarket-cli Official Rust CLI. No auth required for reads. 600+ markets scanned in under 3 minutes. Claude scores: liquidity depth, pricing gap, resolution timeline. 512 markets reduced to 28 before capital moves. 94.5% filtered out before entry consideration. A notification hit. Position filled. +$127. How does it decide entry timing. Four agents. No shared state. Arbitrage detector, convergence scanner, whale mirror, volume surge tracker. 3 agents agree: full position. 2 agree: half size. Split vote: skip. Consensus filtering alone eliminated 46% of losses in backtest. And exit logic. The 38 top wallets almost never hold to settlement. 89% exit early. Average 71% of max profit captured. Immediate redeployment. My bot exits at 82% of projected move or 4x volume spike. Whichever hits first. You built a whale copy system that exits before the whales do. Correct. He set his coffee down slowly. How many trades per day. 12 average. Most rejected by filters before I see notifications. My setup: Claude API: $20/mo VPS Frankfurt: $6/mo poly_data: free polymarket-cli: free $300 seed capital. 34 days ago. $18,700 now. 318 trades. 76% win rate. Sharpe 2.61. I have not modified it in 34 days. He stared at the terminal without blinking. This is exactly what our adversarial testing team models. Market-adaptive agents with autonomous strategy evolution. Except you deployed it live. He messaged me the next day. Would you consider a conversation with our safety research lead. I told him this post is the conversation. Too late to contain. The edge is not predicting markets. It is identifying who already wins and mirroring them before the pattern shifts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Money" 2. Like and retweet this post. 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the whale mirror system this week. Start with $200. Scale on evidence.

Himanshu Kumar

15,985 Aufrufe • vor 3 Monaten

🚨Weekly Cronos News🚨 📅 20/10/2025 1️⃣ 🔧 - Cronos EVM v150 Smarturn upgrade set for Oct 30, delivering smarter accounts, advanced EVM capabilities, and enhanced performance. 2️⃣ ObsidianSwap 🔄 - Trading contest by CronosArmy on ObsidianSwap for cronos_chain kicks off soon, rewarding top 10 over 7 days with 100% boost. - TGE concludes with $ROBIN 4.2B committed at $96K, $LION 850M at $120K, cronoszk $LION 880M at $93K; $CRO liquidity hits 215K at $33K. - Legacy tokens from RobinCronos and CronosLionel converted, sold into burnt pools to boost $OBS liquidity with added $CRO. - $OBS liquidity and trading launches October 17 at 2pm UTC; 15% allocation claimable now, remainder vests over 90 days. - Loaded Lion 2842 joins Mystery Prize inventory on ObsidianSwap via LoadedLions_CDC, ranked 2570; daily quests offer prizes from $2-1.5K. - Listing requests submitted for $OBS to CoinGecko and GeckoTerminal, ID GTIU1710250019. - $OBS whitelisted for smart trading on ObsidianSwap, delivering more tokens, low fees, and fast swaps on cronos_chain. - Full $MCS allocation from MyCroStrat partnership paired with $OBS to strengthen liquidity for both projects. - Liquid NFT contract with PUUSHDABUTTON activates, backing ROBIN NFTs with 450M $OBS valued over $36K 3️⃣ VVS-Finance 💎 - $LION $BARA and $USDC $BARA farms extended for 6 months on VVS Finance, partnering with capy_nation and LoadedLions_CDC. - $KITTY by KitCoinX now whitelisted on VVS Finance, expanding token options on Cronos chain. - Stake xVVS Earn FUL Mine episode 8 launches on VVS Finance with FulcromFinance, emissions starting soon. - $BONE by CroHound_GODS whitelisted on VVS Finance, boosting builder integrations on Cronos chain. 4️⃣ WolfSWAP | SWAP & WIN 🐺 - Season 16 surges with over 5K contestants, $12,212 starting prizepool and $3M volume in just 6 days. - $ROBINSTR from TheLionStrategy and $OBS from ObsidianSwap now whitelisted on wolfswapdotapp for mystery box wins on $10+ trades. - New Amplify Mission launches: Spot Wolfies on Brave Browser, screenshot and tag for $1K prize pool in $MOON – 5 winners snag 424K $MOON ($200 each). 5️⃣ Moonlander 🌕 🚀 - BTC Voyage leaderboard tops out at 60.8M pts, earning $10.9K from $50K pool. - MoonlanderTrade unveils leveraged prediction perps for trading future outcomes. 6️⃣ Loaded Lions 🦁 - LoadedLions_CDC expanded $LION trading to Gate, Coinone, Bitmart, Lbank, Digifinex, Biconomy, Bitrue. - Q3 milestone: LoadedLions_CDC launched $50K prize pool trading campaign on VVS Finance. - Nightmare Blitz event live in Loaded Lions Mane City until Oct 31; prizes include $20K CRO and $15K Tactical Gear NFTs. 7️⃣ puush.fun 🔴🔵 - $OBS token listed on ObsidianSwap post successful TGE and ecosystem merger. - Liquid NFTs activated for ObsidianSwap's $OBS and Robin NFTs, with $36K liquidity locked at $14.56 per NFT floor. 8️⃣ LionStrategy 💡 - Launch alert: CrofamStrategy unveils RobinStrategy $ROBINSTR on ObsidianSwap with RobinCronos. - Burn milestone: WolfieStrategy torches $WOLFSTR worth 58K $CRO from team funds, hitting 21% total supply reduction. - Holdings update: RobinStrategy acquires 110 Robin NFTs. 9️⃣ WAM 🌟 - playWAM unveils revamped website featuring enhanced content and latest project updates on Cronos Chain. - Sovereign microeconomy in development for playWAM app, deploying on EVM chains starting with Cronos Chain followed by BNBCHAIN. - playWAM gears up for Q4 gaming app launch, promising industry-shaking innovations. 🔟 Wolfies ⚡ - Wolfies NFT fetches $4.8K and 10M $MOON in Cronos sale. - Listings surge: Wolfies hit cryptocomnft and cryptocom App just 7 days post-mint. - Exposure boost: Wolfies appear to 40M Brave users; screenshot contest offers $1K prizes. - Volume milestone: 2M $CRO traded across EbisusBay and MintedNetwork in 11 days. - Backing vault grows to nearly $40K, fueling Wolfies flywheel. 1️⃣1️⃣ Ebisu's Bay ⛩️ - Advanced NFT analytics unveiled on EbisusBay collection pages; toggle datasets via legend icons. - ObsidianSwap's $OBS token now listable on EbisusBay DEX for select NFT collection listings. 1️⃣2️⃣ Tectonic.cro 🏦 - Sleek redesign unveiled for Tectonic Finance mobile app, elevating DeFi user experience. 1️⃣3️⃣ Delphi Trade 💡 - Delphitrade launches prediction markets: BNB top 5 by Nov 25, LINK to $28 before Nov 25, USDT to $190B by Nov 25, CRO price Oct 30 2025. - Fresh markets hit delphitrade: ETH, BTC, SOL prices Oct 30 2025; CAW to $20M MC before Oct 30 2025. 1️⃣4️⃣ FROGS 🐸 - Excitement brews: realFrogsClub hints at new Super PERP DEX project in development. 1️⃣5️⃣ NeurotiCat 🐱 - Zealy Quests kick off on Neuro Island, drawing over 100 participants for daily challenges and $NEURO rewards. 1️⃣6️⃣ Lume Finance 🌊 - Lume Finance migrates NOVA and LUME liquidity pools from VVS Finance to Solidex; V2 pools await Dexscreener support. - Despite market volatility, Lume Finance advances with ecosystem integrations, Lilypad milestones, and liquidity expansions. 1️⃣7️⃣ BRAVE 🚀 - Mega raffle spin for Brave Badges launches Oct 18 at 1800 UTC, with 23 prizes including Loaded Lion, 2x 2500 $LION tokens, and Brave Legends customs. 1️⃣8️⃣ PuppetZ.CDC🎭 🔗 - PuppetzART drop launches on Cryptocom NFT: 100 packs at $1, 1600 at $33; FCFS with no whitelist or wallet limits. - Mystery packs mint explodes: 720 sold in 24 hours, yielding $21K volume on Cryptocom NFT and Cronos Chain; half the collection gone. - Prizes await in PuppetzART mint: 15 NFTs with rewards left; funds set for buybacks, 100% royalties for sweeps; vault exceeds $8K. 1️⃣9️⃣ CroVegas.Fun ⚡ - KitCoin $KITTY secures official verification on Cronos Explorer, displaying live badge, logo, website, market cap, and volume. 2️⃣0️⃣ Ryoshi with Knife 🔪 🐶 - Ryoshi Royale unveils fatigue system: Top 10% players hit with 15%, 10%, 5% stat cuts over 3 battles for more winners. - Update adds pay-to-level-up, entourage for bonus XP, and training points reset in hottest Cronos game. 2️⃣1️⃣ MyCroStrategy 🚀 - $MCS-$CRO pair goes live on SoliDexCro, yielding 424% APR with active SDX emissions and rewards. - $MCS treasury deploys across Cronos protocols, amplifying yields via Wolfswap, TectonicFi, and FulcromFinance. - ObsidianSwap initiates first $OBS burn, fueled by 50% royalties from $MCS trading volume. 2️⃣2️⃣ Flipsuite 🔗 - Flippy debuts on Telegram via Flipsuitexyz: in-chat swaps, bridging, trading, airdrops, raffles. Versatile wallet spans 32 chains. 2️⃣3️⃣ Crazzzy Monsters 👹 - Delivered new mint dApp for Imperiums Legion I drop with ImperiumCro; metadata updated on IPFS, 290 NFTs airdropped, issues resolved in 3 days. 2️⃣4️⃣ Nova Labs | GameFi & Launchpad 🔗 - Nova Clash of Galaxies emerges as key evolution in Nova ecosystem, integrating blockchain gaming. - $NFX to drive in-game economy, enabling purchases of premium assets like ships, heroes, and land upgrades. - Game introduces Web2 players to crypto ownership through seamless asset management. 2️⃣5️⃣ YUROSAKO 🗡️ - SHIROTSO sweep contest builds massive prize pool via community NFT donations; donators honored as official sponsors. If you have project announcements, DM us! 📩 For more Crypto.com news, visit Csilla
0:13

🚨Weekly Cronos News🚨 📅 20/10/2025 1️⃣ 🔧 - Cronos EVM v150 Smarturn upgrade set for Oct 30, delivering smarter accounts, advanced EVM capabilities, and enhanced performance. 2️⃣ ObsidianSwap 🔄 - Trading contest by CronosArmy on ObsidianSwap for cronos_chain kicks off soon, rewarding top 10 over 7 days with 100% boost. - TGE concludes with $ROBIN 4.2B committed at $96K, $LION 850M at $120K, cronoszk $LION 880M at $93K; $CRO liquidity hits 215K at $33K. - Legacy tokens from RobinCronos and CronosLionel converted, sold into burnt pools to boost $OBS liquidity with added $CRO. - $OBS liquidity and trading launches October 17 at 2pm UTC; 15% allocation claimable now, remainder vests over 90 days. - Loaded Lion 2842 joins Mystery Prize inventory on ObsidianSwap via LoadedLions_CDC, ranked 2570; daily quests offer prizes from $2-1.5K. - Listing requests submitted for $OBS to CoinGecko and GeckoTerminal, ID GTIU1710250019. - $OBS whitelisted for smart trading on ObsidianSwap, delivering more tokens, low fees, and fast swaps on cronos_chain. - Full $MCS allocation from MyCroStrat partnership paired with $OBS to strengthen liquidity for both projects. - Liquid NFT contract with PUUSHDABUTTON activates, backing ROBIN NFTs with 450M $OBS valued over $36K 3️⃣ VVS-Finance 💎 - $LION $BARA and $USDC $BARA farms extended for 6 months on VVS Finance, partnering with capy_nation and LoadedLions_CDC. - $KITTY by KitCoinX now whitelisted on VVS Finance, expanding token options on Cronos chain. - Stake xVVS Earn FUL Mine episode 8 launches on VVS Finance with FulcromFinance, emissions starting soon. - $BONE by CroHound_GODS whitelisted on VVS Finance, boosting builder integrations on Cronos chain. 4️⃣ WolfSWAP | SWAP & WIN 🐺 - Season 16 surges with over 5K contestants, $12,212 starting prizepool and $3M volume in just 6 days. - $ROBINSTR from TheLionStrategy and $OBS from ObsidianSwap now whitelisted on wolfswapdotapp for mystery box wins on $10+ trades. - New Amplify Mission launches: Spot Wolfies on Brave Browser, screenshot and tag for $1K prize pool in $MOON – 5 winners snag 424K $MOON ($200 each). 5️⃣ Moonlander 🌕 🚀 - BTC Voyage leaderboard tops out at 60.8M pts, earning $10.9K from $50K pool. - MoonlanderTrade unveils leveraged prediction perps for trading future outcomes. 6️⃣ Loaded Lions 🦁 - LoadedLions_CDC expanded $LION trading to Gate, Coinone, Bitmart, Lbank, Digifinex, Biconomy, Bitrue. - Q3 milestone: LoadedLions_CDC launched $50K prize pool trading campaign on VVS Finance. - Nightmare Blitz event live in Loaded Lions Mane City until Oct 31; prizes include $20K CRO and $15K Tactical Gear NFTs. 7️⃣ puush.fun 🔴🔵 - $OBS token listed on ObsidianSwap post successful TGE and ecosystem merger. - Liquid NFTs activated for ObsidianSwap's $OBS and Robin NFTs, with $36K liquidity locked at $14.56 per NFT floor. 8️⃣ LionStrategy 💡 - Launch alert: CrofamStrategy unveils RobinStrategy $ROBINSTR on ObsidianSwap with RobinCronos. - Burn milestone: WolfieStrategy torches $WOLFSTR worth 58K $CRO from team funds, hitting 21% total supply reduction. - Holdings update: RobinStrategy acquires 110 Robin NFTs. 9️⃣ WAM 🌟 - playWAM unveils revamped website featuring enhanced content and latest project updates on Cronos Chain. - Sovereign microeconomy in development for playWAM app, deploying on EVM chains starting with Cronos Chain followed by BNBCHAIN. - playWAM gears up for Q4 gaming app launch, promising industry-shaking innovations. 🔟 Wolfies ⚡ - Wolfies NFT fetches $4.8K and 10M $MOON in Cronos sale. - Listings surge: Wolfies hit cryptocomnft and cryptocom App just 7 days post-mint. - Exposure boost: Wolfies appear to 40M Brave users; screenshot contest offers $1K prizes. - Volume milestone: 2M $CRO traded across EbisusBay and MintedNetwork in 11 days. - Backing vault grows to nearly $40K, fueling Wolfies flywheel. 1️⃣1️⃣ Ebisu's Bay ⛩️ - Advanced NFT analytics unveiled on EbisusBay collection pages; toggle datasets via legend icons. - ObsidianSwap's $OBS token now listable on EbisusBay DEX for select NFT collection listings. 1️⃣2️⃣ Tectonic.cro 🏦 - Sleek redesign unveiled for Tectonic Finance mobile app, elevating DeFi user experience. 1️⃣3️⃣ Delphi Trade 💡 - Delphitrade launches prediction markets: BNB top 5 by Nov 25, LINK to $28 before Nov 25, USDT to $190B by Nov 25, CRO price Oct 30 2025. - Fresh markets hit delphitrade: ETH, BTC, SOL prices Oct 30 2025; CAW to $20M MC before Oct 30 2025. 1️⃣4️⃣ FROGS 🐸 - Excitement brews: realFrogsClub hints at new Super PERP DEX project in development. 1️⃣5️⃣ NeurotiCat 🐱 - Zealy Quests kick off on Neuro Island, drawing over 100 participants for daily challenges and $NEURO rewards. 1️⃣6️⃣ Lume Finance 🌊 - Lume Finance migrates NOVA and LUME liquidity pools from VVS Finance to Solidex; V2 pools await Dexscreener support. - Despite market volatility, Lume Finance advances with ecosystem integrations, Lilypad milestones, and liquidity expansions. 1️⃣7️⃣ BRAVE 🚀 - Mega raffle spin for Brave Badges launches Oct 18 at 1800 UTC, with 23 prizes including Loaded Lion, 2x 2500 $LION tokens, and Brave Legends customs. 1️⃣8️⃣ PuppetZ.CDC🎭 🔗 - PuppetzART drop launches on Cryptocom NFT: 100 packs at $1, 1600 at $33; FCFS with no whitelist or wallet limits. - Mystery packs mint explodes: 720 sold in 24 hours, yielding $21K volume on Cryptocom NFT and Cronos Chain; half the collection gone. - Prizes await in PuppetzART mint: 15 NFTs with rewards left; funds set for buybacks, 100% royalties for sweeps; vault exceeds $8K. 1️⃣9️⃣ CroVegas.Fun ⚡ - KitCoin $KITTY secures official verification on Cronos Explorer, displaying live badge, logo, website, market cap, and volume. 2️⃣0️⃣ Ryoshi with Knife 🔪 🐶 - Ryoshi Royale unveils fatigue system: Top 10% players hit with 15%, 10%, 5% stat cuts over 3 battles for more winners. - Update adds pay-to-level-up, entourage for bonus XP, and training points reset in hottest Cronos game. 2️⃣1️⃣ MyCroStrategy 🚀 - $MCS-$CRO pair goes live on SoliDexCro, yielding 424% APR with active SDX emissions and rewards. - $MCS treasury deploys across Cronos protocols, amplifying yields via Wolfswap, TectonicFi, and FulcromFinance. - ObsidianSwap initiates first $OBS burn, fueled by 50% royalties from $MCS trading volume. 2️⃣2️⃣ Flipsuite 🔗 - Flippy debuts on Telegram via Flipsuitexyz: in-chat swaps, bridging, trading, airdrops, raffles. Versatile wallet spans 32 chains. 2️⃣3️⃣ Crazzzy Monsters 👹 - Delivered new mint dApp for Imperiums Legion I drop with ImperiumCro; metadata updated on IPFS, 290 NFTs airdropped, issues resolved in 3 days. 2️⃣4️⃣ Nova Labs | GameFi & Launchpad 🔗 - Nova Clash of Galaxies emerges as key evolution in Nova ecosystem, integrating blockchain gaming. - $NFX to drive in-game economy, enabling purchases of premium assets like ships, heroes, and land upgrades. - Game introduces Web2 players to crypto ownership through seamless asset management. 2️⃣5️⃣ YUROSAKO 🗡️ - SHIROTSO sweep contest builds massive prize pool via community NFT donations; donators honored as official sponsors. If you have project announcements, DM us! 📩 For more Crypto.com news, visit Csilla

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