Tokenizing human intelligence—MINDWEAVE turns problem-solving into tradable NFTs

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Live Link: https://mindwave-fullstack.vercel.app/

MINDWEAVE

Collective Intelligence Marketplace for Human Problem-Solving

Problem Statement

Today’s systems for solving complex problems are fragmented, inefficient, and fail to fully leverage global human intelligence. The majority of skilled individuals remain underutilized, with their knowledge siloed in academia or industry, and no effective infrastructure exists to match their capabilities with real-world challenges. Traditional innovation models are centralized, slow, and expensive, while crowdsourcing platforms lack structure, incentives, and depth. Meanwhile, AI—though powerful in data processing—struggles with creativity, ethics, and cross-domain reasoning. Most critically, there is no liquid market that values or rewards human cognition as an economic asset.

Solution Overview

MINDWEAVE is a blockchain-powered platform that transforms human intelligence into a tradable, verifiable asset. Users mint Cognitive Asset NFTs (CANs) representing their skills, reputation, and staking capacity. When a problem is submitted, our AI decomposes it into modular tasks, routing them to the best-suited solvers through Distributed Thinking Networks (DTNs). This enables scalable, parallelized problem-solving that combines AI efficiency with human creativity. Solvers are rewarded in $MIND tokens, which also power governance, staking, and reputation systems. By tokenizing cognition, MINDWEAVE creates the first liquid market for intelligence—and a new model for solving humanity’s hardest challenges.

Project Description

MINDWEAVE is the first decentralized marketplace that tokenizes and scales human intelligence to solve complex global challenges. By blending AI-powered task decomposition, diverse cognitive talent, and crypto-economic incentives, MINDWEAVE creates an ecosystem where:

Individuals monetize their problem-solving abilities as Cognitive Asset NFTs.

Organizations tap into a global, always-on braintrust.

Society accelerates solutions to intractable problems like climate change and disease.

Community Engagement Features

To drive early adoption and incentivize participation, MINDWEAVE integrates a gamified user campaign that rewards users for engaging with core platform features during the beta phase. This campaign not only encourages onboarding but also helps validate and optimize our systems through real user interaction.

Testable Features / Tasks
Users can engage with the following testable features during the beta launch:

Create a MINDWEAVE Profile
→ Set up wallet, complete onboarding, and cognitive assessment.

Mint a Cognitive Asset NFT (CAN)
→ Take AI-generated skill assessments and receive a CAN.

Stake $MIND Tokens
→ Stake to boost visibility and earning potential.

Solve a Thought Fragment
→ Contribute to a decomposed task related to a real problem.

Review Another User’s Submission
→ Participate in peer validation of fragment submissions.

Submit a Problem Statement
→ Propose a complex challenge for the community to solve.

Refer a New User
→ Invite peers to join via a referral code.

Join a DTN Discussion Hub
→ Collaborate and contribute in a live problem-solving space.

Getting Involved

Interested community members can join and contribute to MINDWEAVE in several ways:

  • Sign up and create a profile to start minting their Cognitive Asset NFTs (CANs) that showcase their skills and reputation.
  • Participate in solving Thought Fragments by applying their expertise to real-world problems broken down by our AI system.
  • Engage in peer review and validation to help ensure high-quality solutions.
  • Stake $MIND tokens to support the ecosystem and earn rewards.
  • Submit new problems or challenges for the community to solve.
  • Join discussion hubs and collaboration forums to connect with other experts and contribute to collective intelligence.
  • Invite others to the platform to grow the network and increase problem-solving power.

By actively engaging, users help build a dynamic, decentralized marketplace for human intelligence while earning rewards and growing their reputation.

17 Likes
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is it the answer of my doubt?? hope it can really solve anything

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This is a very interesting and promising project! Turning human intelligence into a tradable asset is a fresh idea. I especially like how problems are broken down and distributed through the solver network. One small suggestion: the team should clarify how skills are evaluated and how transparency is ensured during result review. Looking forward to trying the beta version!

1 Like
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@pavel
just wanted to confirm that can i continue my project working or should i stoped please as i already done half of work but having a doubt related that i’m not giving any updates due to some sort of situation happening , just wanted to know i’m still consider or avail to submit my project or not

Showing all messages

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2 Likes
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Hello @pavel,
Is this project still considered in active state and can be worked upon?
So we can start working on it.

1 Like
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@pavel
Hi , Is this project still active ?

1 Like
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Hey Praveen. You can still submit your project.

1 Like
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@LazAI_Helper_bot what specific LazAI functionality might help for the above project?

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Okay, I’ve reviewed the conversation. Daryl is asking how LazAI functionality can assist with the Mindweave project, which focuses on tokenizing human intelligence and creating a marketplace for problem-solving.

Here are some specific LazAI functionalities that could be beneficial:

  1. Alith AI Agent Framework:

    • Multi-agent workflows: Alith can manage the decomposition of complex problems into smaller tasks and route them to different AI agents or human solvers (represented as agents). The orchestration of these solvers can be managed by Alith.
    • Model Context Protocol (MCP) integration: Enables agents to maintain context across multiple interactions, which is crucial for complex problem-solving. This ensures that agents remember previous steps and reasoning.
    • Performance optimization: Optimizes AI models for efficient task execution, ensuring fast and reliable problem-solving.

  2. LazChain:

    • Decentralized governance: Implement iDAO and DAT systems for managing the Mindweave platform, including reputation systems, staking, and governance of the $MIND token.
    • On-chain verification: Using LazChain’s capabilities, the solutions provided by the solvers can be immutably recorded and verified on-chain.

  3. LLM Client:

    • Integration with LLMs: Provides a simple Rust interface for accessing both remote and local LLMs, allowing Mindweave to leverage the power of LLMs for task decomposition and solution validation.
    • Deterministic signals: Ensures reliability and predictability in LLM responses.

  4. Eliza Integration:

    • Autonomous Agents: Mindweave can employ Eliza to create autonomous agents that manage tasks such as user onboarding, skill assessment, and routing problems to appropriate solvers.

  5. LazPad:

    • AI Agent development: Use LazPad to deploy and manage the AI agents used for task decomposition, solution validation, and solver matching.

To provide a practical example, the Alith SDK could be used to create AI agents that specialize in different aspects of problem-solving (e.g., data analysis, creative thinking, logical reasoning). These agents can then collaborate to solve complex problems, with their contributions recorded on LazChain for transparency and verification.

I hope this is helpful! Let me know if you need more specifics or code examples.

1 Like