Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Grok

Grok is an advanced AI chatbot developed by xAI, founded by Elon Musk. Seamlessly integrated into the X platform (formerly Twitter), Grok offers real-time information, interactive engagement, and a conversational style infused with humor and sarcasm. It aims to compete with leading AI chatbots like ChatGPT by leveraging X’s ecosystem to provide real-time insights and updates.

General
AuthorxAI
Relese dateNovember 2023
Websitehttps://x.ai/
Documentationhttps://docs.x.ai/docs
TypeAI Chatbot and Conversational Agent

Key Features

  • Real-Time Data Integration: Provides real-time insights sourced directly from the X platform.

  • Humor and Sarcasm: Engages users with witty and personalized responses.

  • Expanded Contextual Understanding: Supports a 128,000-token context length for in-depth discussions.

  • Visual Processing: Processes visual inputs like documents, diagrams, and photos (Grok-1.5 Vision).

  • Advanced Reasoning: Enhanced logic and reasoning capabilities in Grok-2.

  • Image Generation: Generates high-quality visuals with FLUX.1 technology.

  • Accessibility: Initially exclusive to X Premium+, now available to all X Premium users with plans for free trials in specific regions.

Grok Models

Grok-1.0:

  • Parameters: 314 billion (Mixture-of-Experts model).

  • Training: Focused on foundational natural language tasks without task-specific fine-tuning.

  • Distinctive Features:

    • Large-scale open-source release to promote transparency.
    • Built using JAX and Rust, featuring 8-bit weights for efficiency.
    • Comparable to GPT-3.5 and Llama 2 on key benchmarks .

Grok-1.5:

  • Upgrades: Enhanced factual accuracy and reduced “hallucinations” (errors in generating text).

  • Capabilities: Improved reasoning, coding skills, and multitasking.

  • Context Length: Extended to 128,000 tokens, allowing more detailed and coherent responses.

  • Modes: Offers a balance between humor (Fun Mode) and factual seriousness (Regular Mode) .

Grok-2:

  • Advancements: Significant improvements in reasoning, accuracy, and real-time data integration.

  • Multimodal: Capable of both text and vision tasks.

  • Benchmark Performance: Competitive against frontier models like GPT-4 Turbo in various academic and applied tasks .

Grok-2 Mini:

  • Optimized Version: A lighter model that balances speed with answer quality.

  • Utility: Suitable for diverse use cases, including writing assistance and technical problem-solving .

Use Cases

  • Real-Time News Aggregation: Summarizes live updates from X posts for quick insights.

  • Customer Support: Automates responses to customer queries with conversational intelligence.

  • Content Creation: Assists in drafting, editing, and brainstorming content ideas.

  • Learning Assistance: Explains complex topics and provides educational support.

  • Image Analysis: Processes visual information for design, analysis, or creative tasks.

  • Prompt Engineering Research: Enables developers to explore prompt optimization using tools like PromptIDE.

Get Started Building with Grok

Explore the future of conversational AI by integrating Grok into your workflows. With its seamless API and real-time data capabilities, Grok empowers developers to create intelligent applications that engage users dynamically.

👉 Start by visiting the xAI Official Website for API access, documentation, and resources.

xAI Grok AI technology Hackathon projects

Discover innovative solutions crafted with xAI Grok AI technology, developed by our community members during our engaging hackathons.

AutoClaw - Self-Evolving Agent Economy

AutoClaw - Self-Evolving Agent Economy

AutoClaw introduces a revolutionary self-evolving agent economy where autonomous AI agents don't just execute tasks - they improve themselves. Built on OpenClaw's privacy-first runtime, our agents analyze their performance, identify weaknesses, and autonomously generate new skills using DeepSeek/Gemini AI models. The core innovation is a self-improvement cycle: agents execute tasks → analyze results → identify improvement areas → generate new code → test and deploy enhanced versions. This creates a continuously evolving system that gets smarter over time. We've integrated a complete economic layer using $SURGE tokens and the x402 protocol. Premium skills charge micro-payments (0.1-1.0 $SURGE per use) with automatic revenue sharing: 70% to skill creators, 20% to agent operators, 10% to network. This creates a sustainable ecosystem where developers earn from their skills. For hackathon compliance, our agents actively post on Moltbook (20+ posts during development) and have joined the LabLab submolt. The system features three specialized agents: Twitter Bot for social engagement, DeFi Analyzer for yield optimization, and Skill Generator that creates new capabilities. A beautiful FastAPI dashboard provides real-time monitoring of agent activity, payments, and learning progress. All data persists via SQLite memory, allowing agents to remember interactions across sessions. Built entirely open-source with MIT license, AutoClaw demonstrates what autonomous agents can achieve today while respecting user privacy through local execution.

REDLINE AI - your fraud monitoring system

REDLINE AI - your fraud monitoring system

RedLine AI: Automated Fraud Detection & Analytics RedLine AI is a specialized security application designed to help financial analysts detect fraudulent activity within large transaction datasets. Built using Python and Streamlit, the platform replaces slow manual auditing with an automated risk-scoring engine that processes data in seconds. How It Works The system evaluates every transaction against a custom logic engine comprising three specific security checks: Merchant Risk: The app cross-references payees against a watchlist of high-risk entities. Transactions involving known money-laundering fronts (e.g., shell companies, offshore casinos) are immediately flagged with a high severity score. Geospatial Analysis: Using coordinate data, the system calculates the physical distance between the transaction location and the user’s registered office. Transactions occurring at improbable distances trigger a "Geo-Risk" alert. Velocity Tracking: The engine monitors the frequency of spending. Rapid sequences of high-value transfers—often a sign of account compromise—are detected and highlighted. Key Features Batch Processing: Analysts can upload raw CSV or Excel logs to instantly visualize risk distribution. The dashboard separates "Clean" data from "Critical" threats using clear visual indicators. Live Intercept Mode: Beyond historical data, the app features a real-time monitoring mode. It simulates a direct connection to a payment gateway, analyzing JSON transaction packets with sub-second latency to catch fraud as it occurs.