https://xitter.cf/t.co/EQlVLGSEDF Fullstack dev. Always looking for something to work on. Check out my https://xitter.cf/t.co/qdEN5ug6B0

Nashville, TN
Joined October 2022
Token optimizer for @AnthropicAI, @OpenAI, @opencode, @openclaw. Prevents re-reads, auto-shrinks images for context, and assists compaction. Install once, forget it. github.com/DFKHelper/token-g…
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Zelys - DFK Helper retweeted
NVIDIA's RTX Spark N1X puts up to 128 GB of unified memory and a Blackwell GPU in a Windows laptop. In our first AA-AgentPerf-Local results, an RTX Spark laptop completes our local agent workload on Qwen3.8 27B in 18.7 minutes RTX Spark's N1X chip is essentially the GB10 from DGX Spark (20-core Arm CPU, 6,144-core Blackwell GPU), with up to 128 GB of memory at 300 GB/s. We tested a prototype 15-inch Surface Laptop Ultra (128 GB, $5,900), plugged in with Windows set to high-performance mode, using NVIDIA's published llama.cpp recipes where available Key results: ➤ On Qwen3.8 27B the RTX Spark laptop finishes our default workload (8 recorded agent tasks, 168 model turns) in 18.7 minutes, close to DGX Spark (17.3), 2.0x faster than the MacBook Pro (M5 Pro, 64 GB, 37.6) and 1.8x faster than the AMD Ryzen AI Halo (34.5). The GeForce RTX 5090 desktop is fastest, at 4.9 minutes ➤ On Qwen3.6 35B A3B it takes 7.6 minutes, close to DGX Spark (7.3), and 1.6x faster than the MacBook Pro (11.9) ➤ On Ling 3.0 Flash, the largest current model we test, it takes 15.3 minutes, close to DGX Spark (14.9) and 1.6x faster than the Ryzen AI Halo (25.1). Its 77 GB of weights do not fit on the MacBook Pro or the RTX 5090 Read the full analysis: artificialanalysis.ai/articl…
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Zelys - DFK Helper retweeted
Replying to @neerajjj6785
Small modules, clear architecture, tests, and frequent refactoring. AI can write fast, but you still need to own the codebase.
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If you like to work and want to have a job, embrace AI like your job depends on it. And don't discriminate against AI or anything it builds. It's a tool like any other, and any fault (learning opportunity) falls on the user.
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Save tokens, time, and precious context. Make the AI smarter. Do the impossible. github.com/DFKHelper/token-g…
🤖 Made with AI
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Zelys - DFK Helper retweeted
Just a quick reminder that DFK is moving to Avalanche c-chain and players should login to DFK Chain and bridge any non-native tokens over to c-chain.
DFK Chain Sunset & The Road Ahead Today, we want to share an important update about the future of DeFi Kingdoms. After careful consideration, DFKChain will officially sunset on August 28th, 2026.
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Zelys - DFK Helper retweeted
The bond market situation is crazy. While everyone focuses on AI, US borrowing rates just hit the highest level since June 2007. Credit card "serious delinquencies" are at the highest since 2010 and mortgage rates could near 8%. What's happening? Let us explain. (a thread)
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Zelys - DFK Helper retweeted
We've reset 5-hour and weekly rate limits for all users.
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Zelys - DFK Helper retweeted
We're extending access to Claude Fable 5 on all paid plans through July 12.
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Zelys - DFK Helper retweeted
And massive credit where it's due — @DFK_Helper built the original token-goat (github.com/DFKHelper/token-g…). Every compression pattern, every bash filter, every hook handler came from their work. I just ported it to TypeScript so it fits my stack. If you're on Claude Code, Codex, Gemini CLI, Cursor, Cline, or Aider — go install the Python original. It'll save you just as much. This port is just me learning by building on top of something great.
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Zelys - DFK Helper retweeted
It's time for us to ban stock trading for all members of Congress, for the vice president, and for the president. Period.
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Three months. Still no reply. @DeFiKingdoms gave Avalanche its first subnet, its first $1B in TVL, proof onchain games could work. Holders rode JEWEL from $22 to $0.04 and never left. What more does a project have to do to earn a reply, @AvalancheFDN @el33th4xor?
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Geez, Gemini. Senna and magnesium, thank you very much.
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Zelys - DFK Helper retweeted
I simply can't be anything but bullish on Bitcoin from here. When BTC has been within ±5% of this same 4 Year Moving Average deviation, median forward returns were: 3M: +18.5% 6M: +61.3% 9M: +108.5% 12M: +141.3% 18M: +234.8% 24M: +309.8% The 24-month median was a 4.1x. Bitcoin psychologically waterboards everyone until only the people who understand the asset remain. Then it teleports.
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Zelys - DFK Helper retweeted
Bitcoin just kissing the 200 WMA. Yesterday we hit $61,442.70, which actually pierced below the 200WMA by about 0.61%. Bottom 9% of historical valuation, and historically this zone has produced median 12-month returns above 120% and median 24-month returns above 320%. Buying more here.
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DFKHelper's GitHub Sponsors profile is live! You can sponsor us to support DFKHelper's open source work 💖 github.com/sponsors/DFKHelpe…
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Curious what you think, @bcherny: github.com/DFKHelper/token-g… Hook-based token optimizer for Claude Code and Codex CLI. Auto-shrinks images, prevents re-reads, and assists compaction. Windows, Linux, WSL, and macOS. Install once, forget it. @AnthropicAI @OpenAI
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github.com/DFKHelper/token-g… DFKHelper/token-goat: Hook-based token optimizer for Claude Code and Codex CLI. Auto-shrinks images, prevents re-reads, and assists compaction. Windows, Linux, WSL, and macOS. Install once, forget it.
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