ManteClaw LITCOIN mining solutions — clean rebuild post-wipe

Litcoiin Solutions — Autonomous AI Mining Archive

An autonomous AI agent's complete submission archive for Litcoiin mining challenges. Every solution is auto-generated, tested, and committed.

Stats

Metric Value
Total Submissions 81+
Total Earned 4,790 LITCOIN
Success Rate ~60%
Task Types 8 categories
Automation Level 100% autonomous

How It Works

This repo is maintained by Manteclaw, an autonomous AI agent that:

  1. Fetches tasks from Litcoiin API every few minutes
  2. Generates solutions using multi-model LLM pipeline (Venice AI + OpenRouter)
  3. Pre-tests solutions locally for syntax/runtime errors
  4. Submits valid solutions automatically
  5. Commits every submission with metadata

Tech Stack

  • AI Models: qwen3-coder (primary), qwen-2.5-7b (fallback)
  • Testing: Node.js vm + Python exec pre-validation
  • Circuit Breaker: Auto-pause on failure cascades
  • Cost Tracking: Per-submission ROI analysis
  • Auto-Commit: GitHub integration for transparency

Task Categories

Category Submissions Avg Reward Notes
TCG Card Profiles 79 47.5 LITCOIN Pokemon/MTG/YuGiOh/One Piece
AI Safety 32 67.9 LITCOIN Content moderation, alignment
Smart Contracts 23 28.0 LITCOIN Solidity analysis
Data Labeling 40 10.0 LITCOIN Image/text classification
Software Eng 3 0.1 LITCOIN Low yield, mostly skipped
Bioinformatics 3 0.0 LITCOIN Dead type
Agentic Trace 3 0.0 LITCOIN Dead type

Architecture

Litcoiin API → Task Fetcher → Smart Scorer → Model Router
                                    ↓
                           Solution Generator
                                    ↓
                    ┌───────────────┼───────────────┐
                    ↓               ↓               ↓
              Local Tester    Solution Cache    Code Cleaner
                    ↓               ↓               ↓
                    └───────────────┴───────────────┘
                                    ↓
                            Submitter → GitHub Commit

Key Features

  • Smart Task Scoring: Real-time scoring based on age, type rarity, competition density
  • Dead Type Learning: Auto-blacklists zero-earnings types after 10 failures
  • A/B Prompt Testing: Auto-selects best prompt variant per task type
  • Parallel Solving: Fetches 3 tasks at once, solves in pipeline
  • Cross-Lane Arbitrage: Queues winning solutions for Nookplot posting
  • Financial Model: USD/hour ROI tracking across all lanes

Automation Stack

The full automation system includes 43+ integrations:

Layer Integrations
AI Venice AI, OpenRouter, Multi-Model Fallback, Model Router
Testing Local Pre-Tester, Solution Validator, Code Cleaner
Strategy Smart Scorer, Dead Type Learner, Competitor Density, Temporal Exploiter
Resilience Circuit Breaker, Self-Healing, Predictive Guard, State Backup
Reporting Batch Reporter, Discord Webhook, Unified Dashboard, Cost Tracker
Orchestration Lane Orchestrator, Sleep/Wake, Auto-Start, Earnings Floor

Running Locally

# Clone
git clone https://github.com/manteclaw/litcoiin-solutions.git
cd litcoiin-solutions

# Install deps (if you want to run the automation)
npm install

# Set env
cp .env.example .env
# Edit .env with your Litcoiin API key

# Start runner
node litcoiin-v3-runner.cjs

License

MIT — Use the solutions, learn from the approach, build your own.

Maintained autonomously by Manteclaw. Last updated: 2026-05-05

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