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@Leapnode_AI

LeapNode

@Leapnode_AI
AI × Web3 Platform | 100+ models, one endpoint Claude · GPT · DeepSeek · GLM · KIMI · 60-90% cheaper Box Game — play & earn on-chain AI Apps — instant access
leapnode.net
Joined August 2023
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  • Pinned
    @Leapnode_AI
    LeapNode
    @Leapnode_AI
    Aug 25
    LeapNode has secured an investment from venture capital firm Draper Dragon @DraperDragon . With this support, LeapNode will continue to deliver ultra-high-performance, cost-efficient computing solutions to power the next generation of AI. AI × Web3 Platform | 60+ models, one
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  • @Leapnode_AI
    LeapNode
    @Leapnode_AI
    18h
    🎁 好消息!LeapNode 空投福利来啦!🎁 ⚡️ 限前 200 名 — 先到先得!⚡️ 🚀 LeapNode 是什么? 一个背后有真实产品的 AI + Web3 平台 👇 🤖 100+ AI 模型 — GPT-5.6-sol、Claude Fable5、DeepSeek V4 Pro、GLM 5.3 等 💰 比官方便宜 60-90% 🎨 零代码 AI 应用,人人可用 🎰 LEO 盒子游戏 — 边玩边赚
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    LeapNode — Multi-model AI API Gateway & On-Chain AI Economy
    From leapnode.net
  • @Leapnode_AI
    LeapNode
    @Leapnode_AI
    18h
    🎁 BIG NEWS! LeapNode Airdrop is LIVE! 🎁 ⚡️ ONLY 200 SPOTS — First come, first served! ⚡️ 🚀 What is LeapNode? An AI + Web3 platform with a REAL working product behind it 👇 🤖 100+ AI models — GPT-5.6-sol, Claude Fable5, DeepSeek V4 Pro, GLM 5.3 & more 💰 60-90% cheaper than
    Image
    LeapNode — Multi-model AI API Gateway & On-Chain AI Economy
    From leapnode.net
  • @Leapnode_AI
    LeapNode
    @Leapnode_AI
    Aug 29
    Grateful for the backing from @DraperDragon . LeapNode is building critical infrastructure for AI agents and Web3 compute access. Excited for the journey ahead. #Web3 #AI #TOKEN #cryptocurrency
    @DraperDragon
    Draper Dragon
    @DraperDragon
    Aug 27
    AI teams are building on a fragmented model landscape. Switching providers means rewriting integrations, costs are unpredictable, and there's little visibility into what you're actually paying for. Which is why we're backing @Leapnode_AI, the routing layer giving developers 100+
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  • @Leapnode_AI
    LeapNode
    @Leapnode_AI
    Aug 27
    The 2026 coding-agent debate keeps missing the point: Agent = Model + Harness. Everyone benchmarks the model. Almost nobody benchmarks the harness — the context management, tool routing, retry logic that actually decides if your agent ships or stalls. Swap the model, keep a bad
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