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Your search for smarter, faster charging ends here. Introducing the #XiaomiPowerBank5i67W 20000mAh. ✅67W Max. Fast Output ✅Smart Digital Display ✅Three-port Output #FastSafeChargesEverything. Limited time period offer starting from ₹3,299*. Sale starts on 28th July. Know More:

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Xiaomi India

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11,177 Aufrufe • vor 2 Monaten •via X (Twitter)

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Speed gets attention. Safety earns trust. ​ Protected by HyperShield, the #XiaomiPowerBank5i67W 20000mAh ensures your phone, laptop, and accessories charge with maximum safety and precision.​ #FastSafeChargesEverything. Limited time period offer starting from ₹3,299*. Sale starts on 28th July.​ Know More:
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Speed gets attention. Safety earns trust. ​ Protected by HyperShield, the #XiaomiPowerBank5i67W 20000mAh ensures your phone, laptop, and accessories charge with maximum safety and precision.​ #FastSafeChargesEverything. Limited time period offer starting from ₹3,299*. Sale starts on 28th July.​ Know More:

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⏰ ONLY 2 DAYS LEFT! ⏰ Holland Roden's 97% OFF Deal + FREE Exclusive Stickers!⁣ ⁣ 🔥 Offer EXPIRES Oct 15 at MIDNIGHT! 🔥⁣ ⁣ Join NOW: ⁣ WOLFPACK! Time is running out to join Holland Roden's ultimate Teen Wolf fan club. Here's what you get when you join TODAY:⁣ ⁣ ✅ 3 EXCLUSIVE "Not all Monsters Do Monstrous Things" stickers from Holland ($45 value) - GUARANTEED for ALL members!⁣ ✅ Chance to WIN signed Teen Wolf collectibles⁣ ✅ Exclusive video content from Holland⁣ ✅ Access to Holland's Wolf Pack Facebook group⁣ ✅ Monthly giveaways (over $1,000 value per year!)⁣ ⁣ But wait, there's MORE! 👀⁣ ⁣ Your membership includes access to ALL celebrities on Fanward, both now and in the future! That's right - one membership, multiple heroes! 🦸‍♀️🦸‍♂️⁣ ⁣ "It's Fanward for the win, best subscription I've ever been part of" - Mike⁣ ⁣ "This is Teen Wolf Heaven, it's definitely where the fun begins" - Brandon⁣ ⁣ ⏰ HURRY! This offer VANISHES at midnight on October 15th! ⏰⁣ ⁣ Don't miss your chance to be part of Holland's Wolf Pack at this INSANE discount!⁣ ⁣ Remember, you're backed by a 1-year, 100% money-back guarantee. No risk, all reward!⁣ ⁣ Join Holland's Wolf Pack today and start living your Teen Wolf dreams! 🌟⁣ ⁣ 👉 Click here to join NOW: #TeenWolf #HollandRoden #LastChance #FreeStickers

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Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X ( or file issues ( 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑
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Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X ( or file issues ( 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑

Vercel Developers

964,223 Aufrufe • vor 1 Monat

USDC and Circle’s developer tools are now live on Unichain! Developers building on Unichain now have access to USDC, CCTP, and Programmable Wallets to build secure and scalable onchain apps that can easily onboard users across blockchains. As the world’s largest regulated dollar stablecoin, USDC enhances user confidence and settlement for digital asset trading use cases on Unichain. Do more onchain with USDC ✅ Build dollar-backed financial products for swapping, trading, and more ✅ Provide liquidity to Coinbase 🛡️ (Coming Soon), Uniswap and other DeFi protocols ✅ Create new and innovative DeFi apps like Uniswap USDC issued by Circle Token Name: USDC Token Symbol: USDC Mainnet Address: 0x078D782b760474a361dDA0AF3839290b0EF57AD6 Testnet Address: 0x31d0220469e10c4E71834a79b1f276d740d3768F Developers can experiment with funds flows in their Unichain apps by getting free testnet USDC from Circle’s Faucet: The Circle Platform: A Complete Suite for Builders This launch goes beyond USDC—it’s about equipping developers on Unichain with a robust platform to build next-generation onchain apps: 🔗 CCTP allows Unichain developers to create secure and capital-efficient cross-chain swaps, deposits, and rebalancing with USDC. Connect your Unichain apps to networks like Arbitrum, Base, Ethereum, Solana, and more to access unified liquidity across blockchains. 💼 Programmable Wallets offers Unichain developers flexible, secure infrastructure for the easy creation of in-app wallets across EVM and non-EVM blockchains. Leverage built-in compliance tools for transaction screening and enable gas abstraction to simplify user experience. 📄 Smart Contract Platform (coming soon) simplifies contract deployment and management with a curated library of audited templates so you can get to market fast. Tokenize real-world assets, integrate with DeFi apps, and enhance customer engagement with NFTs and loyalty programs. With the addition of Unichain, USDC is now supported natively on 18 blockchains. Get started with USDC on Unichain today:
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USDC and Circle’s developer tools are now live on Unichain! Developers building on Unichain now have access to USDC, CCTP, and Programmable Wallets to build secure and scalable onchain apps that can easily onboard users across blockchains. As the world’s largest regulated dollar stablecoin, USDC enhances user confidence and settlement for digital asset trading use cases on Unichain. Do more onchain with USDC ✅ Build dollar-backed financial products for swapping, trading, and more ✅ Provide liquidity to Coinbase 🛡️ (Coming Soon), Uniswap and other DeFi protocols ✅ Create new and innovative DeFi apps like Uniswap USDC issued by Circle Token Name: USDC Token Symbol: USDC Mainnet Address: 0x078D782b760474a361dDA0AF3839290b0EF57AD6 Testnet Address: 0x31d0220469e10c4E71834a79b1f276d740d3768F Developers can experiment with funds flows in their Unichain apps by getting free testnet USDC from Circle’s Faucet: The Circle Platform: A Complete Suite for Builders This launch goes beyond USDC—it’s about equipping developers on Unichain with a robust platform to build next-generation onchain apps: 🔗 CCTP allows Unichain developers to create secure and capital-efficient cross-chain swaps, deposits, and rebalancing with USDC. Connect your Unichain apps to networks like Arbitrum, Base, Ethereum, Solana, and more to access unified liquidity across blockchains. 💼 Programmable Wallets offers Unichain developers flexible, secure infrastructure for the easy creation of in-app wallets across EVM and non-EVM blockchains. Leverage built-in compliance tools for transaction screening and enable gas abstraction to simplify user experience. 📄 Smart Contract Platform (coming soon) simplifies contract deployment and management with a curated library of audited templates so you can get to market fast. Tokenize real-world assets, integrate with DeFi apps, and enhance customer engagement with NFTs and loyalty programs. With the addition of Unichain, USDC is now supported natively on 18 blockchains. Get started with USDC on Unichain today:

Circle

51,987 Aufrufe • vor 1 Jahr

🚀🔮 InterPredict V2: From Beta Testing to Production Readiness 🌐⚡ InterPredict is entering a critical new stage: moving from an early beta product towards a more reliable, scalable, and production-ready community prediction marketplace. 🧠📊 This is not simply a version update. It is a structured transition from testing the concept to strengthening the infrastructure required for real-world use. 🛠️🌍 🧪 What the Beta Phase Achieved The beta phase provided an important testing environment for: • ✅ Validating the core prediction-market concept • 👥 Observing how users interact with the platform • 🐛 Identifying technical issues and improvement areas • 💬 Collecting community feedback • 📈 Understanding how prediction markets perform under real usage conditions Beta testing was about learning what works, discovering what needs improvement, and preparing the foundation for the next phase. 🔍🚧 ⚙️🚀 What InterPredict V2 Brings With V2, the focus is shifting towards a smoother, faster, and more dependable user experience. Key priorities include: ⚡ Improved performance 🛡️ Greater reliability 📈 Better scalability 🔗 Seamless system integration ⚙️ More efficient platform operations 🎨 A clearer and more accessible interface The objective is to connect the platform’s core components into one integrated system that can support broader participation and future growth. 🌱🌐 🛠️📋 Development Progress The current development status is as follows: ✅ Smart contract development: Completed ✅ Backend and server development: Completed 🔄 Frontend development: In progress 🔗 Full platform integration: In progress 🧪 Final testing: Upcoming 🌐🚀 Mainnet launch: Planned after successful testing and review This staged approach is important. Before a Mainnet release, the platform must be tested thoroughly across its technical systems, user flows, security processes, and overall reliability. 🔐✅ 📊🧠 More Than Just Making Predictions InterPredict’s wider purpose extends beyond individual predictions. 🔮 The platform is designed to help transform community knowledge, opinions, and expectations into structured prediction markets. When participation is organised effectively, collective views can produce useful market signals and offer insight into how communities assess future events. 💡📈 This may create value in several areas: • 🗣️ Encouraging informed participation • 📊 Making community sentiment easier to analyse • 🔍 Creating transparent prediction-based markets • 🧠 Supporting data-driven discussion • 🤝 Giving users a more interactive role in the ecosystem Prediction markets do not guarantee correct outcomes, but they can provide a structured way to compare expectations and observe changing sentiment. ⚖️📉📈 🧪🔐 The Importance of the Final Testing Phase The period before Mainnet will be especially significant. It should focus on: • End-to-end testing: checking that all platform components work together correctly • Early-user feedback: identifying practical issues from real user interactions • Performance review: assessing speed, stability, and scalability • Security checks: reviewing smart contracts and supporting infrastructure • User-experience refinement: making the platform easier to understand and use • Operational readiness: ensuring the system can support activity after launch A successful Mainnet launch depends not only on completing development, but also on the quality of testing and review that comes before it. ✅🚀 🔄🌍 From Vision to Real-World Adoption InterPredict’s progress can be viewed as a clear development path: 🔬 Experimentation → 🏗️ Infrastructure → 🔗 Integration → 🔍 Testing → 🌍 Adoption Beta tested the initial vision 🧪 V2 strengthens the technical foundation 🛠️ Integration connects the platform’s main components 🔗 Testing prepares the system for wider use 🔍 Mainnet will measure how effectively the ecosystem performs in practice 🚀 Each stage has a different purpose, and completing them carefully is essential for sustainable growth. 🌱📈 🌟 The Road Ahead InterPredict V2 represents an important step towards building a stronger community prediction marketplace. 🔮🌐 The next milestones will determine how effectively the platform can convert its technical progress into a dependable experience for users. 👥⚙️ The goal is clear: create a system where people can predict, participate, share perspectives, and contribute to meaningful market signals in a transparent and structured way. 💬📊🤝 🔮✨ Final Takeaway → Beta tested the vision. 🧪 → V2 is strengthening the infrastructure. 🛠️ → Mainnet will put the ecosystem to the test. 🌐�* The journey continues: 🎲 Predict. 🤝 Participate. 🌍 Shape Tomorrow. 💜⚡ 🔗 Follow InterPredict: InterPredict 📲 Telegram: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics
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🚀🔮 InterPredict V2: From Beta Testing to Production Readiness 🌐⚡ InterPredict is entering a critical new stage: moving from an early beta product towards a more reliable, scalable, and production-ready community prediction marketplace. 🧠📊 This is not simply a version update. It is a structured transition from testing the concept to strengthening the infrastructure required for real-world use. 🛠️🌍 🧪 What the Beta Phase Achieved The beta phase provided an important testing environment for: • ✅ Validating the core prediction-market concept • 👥 Observing how users interact with the platform • 🐛 Identifying technical issues and improvement areas • 💬 Collecting community feedback • 📈 Understanding how prediction markets perform under real usage conditions Beta testing was about learning what works, discovering what needs improvement, and preparing the foundation for the next phase. 🔍🚧 ⚙️🚀 What InterPredict V2 Brings With V2, the focus is shifting towards a smoother, faster, and more dependable user experience. Key priorities include: ⚡ Improved performance 🛡️ Greater reliability 📈 Better scalability 🔗 Seamless system integration ⚙️ More efficient platform operations 🎨 A clearer and more accessible interface The objective is to connect the platform’s core components into one integrated system that can support broader participation and future growth. 🌱🌐 🛠️📋 Development Progress The current development status is as follows: ✅ Smart contract development: Completed ✅ Backend and server development: Completed 🔄 Frontend development: In progress 🔗 Full platform integration: In progress 🧪 Final testing: Upcoming 🌐🚀 Mainnet launch: Planned after successful testing and review This staged approach is important. Before a Mainnet release, the platform must be tested thoroughly across its technical systems, user flows, security processes, and overall reliability. 🔐✅ 📊🧠 More Than Just Making Predictions InterPredict’s wider purpose extends beyond individual predictions. 🔮 The platform is designed to help transform community knowledge, opinions, and expectations into structured prediction markets. When participation is organised effectively, collective views can produce useful market signals and offer insight into how communities assess future events. 💡📈 This may create value in several areas: • 🗣️ Encouraging informed participation • 📊 Making community sentiment easier to analyse • 🔍 Creating transparent prediction-based markets • 🧠 Supporting data-driven discussion • 🤝 Giving users a more interactive role in the ecosystem Prediction markets do not guarantee correct outcomes, but they can provide a structured way to compare expectations and observe changing sentiment. ⚖️📉📈 🧪🔐 The Importance of the Final Testing Phase The period before Mainnet will be especially significant. It should focus on: • End-to-end testing: checking that all platform components work together correctly • Early-user feedback: identifying practical issues from real user interactions • Performance review: assessing speed, stability, and scalability • Security checks: reviewing smart contracts and supporting infrastructure • User-experience refinement: making the platform easier to understand and use • Operational readiness: ensuring the system can support activity after launch A successful Mainnet launch depends not only on completing development, but also on the quality of testing and review that comes before it. ✅🚀 🔄🌍 From Vision to Real-World Adoption InterPredict’s progress can be viewed as a clear development path: 🔬 Experimentation → 🏗️ Infrastructure → 🔗 Integration → 🔍 Testing → 🌍 Adoption Beta tested the initial vision 🧪 V2 strengthens the technical foundation 🛠️ Integration connects the platform’s main components 🔗 Testing prepares the system for wider use 🔍 Mainnet will measure how effectively the ecosystem performs in practice 🚀 Each stage has a different purpose, and completing them carefully is essential for sustainable growth. 🌱📈 🌟 The Road Ahead InterPredict V2 represents an important step towards building a stronger community prediction marketplace. 🔮🌐 The next milestones will determine how effectively the platform can convert its technical progress into a dependable experience for users. 👥⚙️ The goal is clear: create a system where people can predict, participate, share perspectives, and contribute to meaningful market signals in a transparent and structured way. 💬📊🤝 🔮✨ Final Takeaway → Beta tested the vision. 🧪 → V2 is strengthening the infrastructure. 🛠️ → Mainnet will put the ecosystem to the test. 🌐�* The journey continues: 🎲 Predict. 🤝 Participate. 🌍 Shape Tomorrow. 💜⚡ 🔗 Follow InterPredict: InterPredict 📲 Telegram: InterLink Labs 👤 + 🌐 InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics

Tekkaus® | InterLink Global Leader • MOD • OG

146,322 Aufrufe • vor 27 Tagen

you're paying $20/mo for something your $500 GPU can already do. Gemma 4 26B A4B QAT MoE + Hermes Agent running on a single RTX 4060 (8GB VRAM). Built a vision capable, 100% free, 100% local, private AI assistant that lives in my Chrome browser. No API keys. No cloud. No subscriptions. 100% vibe coded. 0% handholding. It has full context of whatever's on my screen can answer questions, summarize pages, extract data, and see images. Same local model handles everything, no external calls, ever. keep reading for the model and hermes agent tips i learnt while building this locally. Here's the exact setup for anyone running local LLMs on 6-8 GB VRAM: llama.cpp server flags (on my NVIDIA RTX 4060 8gb VRAM): -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --cache-type-k q8_0 --cache-type-v q8_0 -c 150000 --port 8080 Throughput with quantization: Prefill: 200-250 tokens/sec Decode: 20-25 tokens/sec reduce context if oom on 6 gb vram card. Key learnings: - Quantize KV cache to q8 for faster prefill/decode. Prefill goes from 100-150 (unquantized) to 200-250 tok/s (q8). - But watch out, once actual context grows past ~50k tokens on high entropy workloads, q8 KV quantization can cause hallucinations. Low entropy workloads are mostly unaffected. If you see it happening, drop the quantization. This is common across all local models. - In Hermes Agent settings -> Memory & Context, bump compression threshold from default 0.5 to 0.7. Default triggers way too frequent context compression and eats time. Up next: add persistent memory, web search, tool calling, streaming output and whatever you suggest. Running a 26B MoE with vision + 150k context window on 8GB VRAM would've sounded impossible 6 months ago. Works the same on the NVIDIA RTX 3060 Ti, 3070, 4060 Ti, 5060, 2080, or any 8GB card. VRAM is the only requirement. Local AI agents are closer than people think. You just need to know where the knobs are. Model's Unsloth quant hugging face link in the comments. Have you tried Hermes agent by Nous Research yet? What are you building with local LLMs? Drop it below, let's see what this community is shipping.
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you're paying $20/mo for something your $500 GPU can already do. Gemma 4 26B A4B QAT MoE + Hermes Agent running on a single RTX 4060 (8GB VRAM). Built a vision capable, 100% free, 100% local, private AI assistant that lives in my Chrome browser. No API keys. No cloud. No subscriptions. 100% vibe coded. 0% handholding. It has full context of whatever's on my screen can answer questions, summarize pages, extract data, and see images. Same local model handles everything, no external calls, ever. keep reading for the model and hermes agent tips i learnt while building this locally. Here's the exact setup for anyone running local LLMs on 6-8 GB VRAM: llama.cpp server flags (on my NVIDIA RTX 4060 8gb VRAM): -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --cache-type-k q8_0 --cache-type-v q8_0 -c 150000 --port 8080 Throughput with quantization: Prefill: 200-250 tokens/sec Decode: 20-25 tokens/sec reduce context if oom on 6 gb vram card. Key learnings: - Quantize KV cache to q8 for faster prefill/decode. Prefill goes from 100-150 (unquantized) to 200-250 tok/s (q8). - But watch out, once actual context grows past ~50k tokens on high entropy workloads, q8 KV quantization can cause hallucinations. Low entropy workloads are mostly unaffected. If you see it happening, drop the quantization. This is common across all local models. - In Hermes Agent settings -> Memory & Context, bump compression threshold from default 0.5 to 0.7. Default triggers way too frequent context compression and eats time. Up next: add persistent memory, web search, tool calling, streaming output and whatever you suggest. Running a 26B MoE with vision + 150k context window on 8GB VRAM would've sounded impossible 6 months ago. Works the same on the NVIDIA RTX 3060 Ti, 3070, 4060 Ti, 5060, 2080, or any 8GB card. VRAM is the only requirement. Local AI agents are closer than people think. You just need to know where the knobs are. Model's Unsloth quant hugging face link in the comments. Have you tried Hermes agent by Nous Research yet? What are you building with local LLMs? Drop it below, let's see what this community is shipping.

Alok

36,691 Aufrufe • vor 3 Monaten