Hive – open-source Marketplace for AI

Hacker News

gm gm, We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution. What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding. Features of Hive Network AI -- 1] Decentralized Agents: Build agents that operate independently, with the capability to execute tasks on blockchain networks. 2] Model and Dataset Monetization: Through our Model Hub, AI engineers can monetize their models, opening up new revenue streams. 3] Research and Development Support: Our Research Hub supports AI researchers by providing them with the necessary funding and resources to advance their work. 4] Complex Workflows with Swarms: Aggregate multiple agents into a Swarm to tackle complex tasks and workflows. Why It Matters -- In an era where AI development is often opaque and centralized, Hive Network AI introduces a platform for greater transparency and collaboration. By decentralizing the development and deployment of AI agents, we empower creators and developers to own and profit from their innovations. Get Involved -- We’re currently welcoming early users to join our waitlist. Visit our website at Hive Network AI to learn more and sign up. We believe that the future of AI should be open and accessible, and with Hive Network AI, we are making that future a reality. We’d love to hear your thoughts, feedback, or potential use cases you envision with our platform. Thanks for checking out Hive Network AI. I’ll be around to answer any questions you have! -- Relevant Links -- 1] Demo of some agents: https://www.loom.com/share/01e670f340924a5d87958e2bd9ee308b?... 2] GitHub: https://github.com/hivenetwork-ai/ 3] Alpha Launch: https://tuvanalabs.com/blog-detail/ethdenver-2024-recap

Visit product View on Hacker NewsApr 25, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · Missing: mac, macos, cursor

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit · Missing: arr, mrr, saas

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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