Groq

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

Groq

Groq, Inc. is a company specializing in artificial intelligence (AI) hardware and software solutions. Founded in 2016 by ex-Google engineers, Groq focuses on delivering AI acceleration technologies to power next-generation applications across industries. With its deterministic approach to computation, Groq redefines performance and efficiency in AI inference tasks, providing scalable and developer-friendly solutions.

Headquartered in Mountain View, California, Groq operates globally, with additional offices in Canada, Europe, and other parts of the United States. Their solutions are tailored to meet the demands of enterprises seeking high-speed AI capabilities with a focus on reliability and cost efficiency.

General Information

Attribute	Details
Author	Jonathan Ross, CEO and Founder of Groq
Company	Groq
Founded	2016
Documentation	Groq Libraries
Github repository	https://github.com/groq
Discord	https://discord.com/invite/groq
technology Type	AI Accelerator Hardware and Software Solutions

Products and Services:

Language Processing Unit (LPU): Groq's LPU is architected from the ground up with a software-first design to meet the unique characteristics and needs of AI. It offers a deterministic execution model, eliminating traditional hardware bottlenecks and providing seamless scalability.
GroqCloud: A developer-centric platform that provides API access to Groq’s high-performance AI models. GroqCloud supports a range of applications, from vision and language processing to real-time inference tasks, delivering low-cost and high-quality results.
AI Models and API Access: Groq offers a range of AI models accessible via APIs, including vision models like Llama 3.2 11B Vision 8k and Llama 3.2 90B Vision 8k. These models are designed to provide high-quality, real-time inference for various applications.

How to Start Building with Groq

To begin leveraging Groq’s high-performance AI solutions, start by exploring their development environment. Developers can tap into GroqCloud for seamless API access to pre-trained models or optimize their own AI workloads using Groq's Language Processing Unit (LPU).

Visit Groq's GitHub repository to download SDKs, tools, and libraries required for your development.

Start building with Groq 👉 https://console.groq.com/login

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Groq AI technology page Hackathon projects

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

GameForge AI

GameForge AI reimagines game development by putting the power of creation in anyone's hands. Describe your game idea in plain English and four specialized AI agents will instantly collaborate to bring it to life. The Concept Architect designs the game mechanics, the Pixel Weaver defines the visual style, the Code Conjurer writes the full HTML5 game code, and the Bug Slayer polishes it to a playable state. No coding skills required. No game engine expertise needed. Just your imagination. Built on Groq with Llama 3.3 70B and Gemini as fallback, GameForge AI delivers a fully playable browser game rendered live in under 60 seconds. Users can remix their game with a single sentence, download the HTML file, or go fullscreen from a sleek cyberpunk Next.js interface. GameForge AI democratizes game creation for indie creators, educators, and storytellers, making "I have a game idea" the only prerequisite to playing it.

InboxSentinel

Do you ever open your Gmail and struggle to extract critical information from the clutter created by informational emails, newsletters, promotions, OTPs, and verification messages? InboxSentinel solves this by acting as an autonomous AI intelligence layer over your inbox. Powered by an LLM, it periodically wakes up using OpenClaw’s autonomous cron job framework, scans your latest 5–10 emails, calculates an urgency score, and categorizes them into Personal, Informational, OTP, Verification, Fraud, Promotions, and more — without requiring any manual trigger. If an urgent email needs your response while you’re occupied, InboxSentinel reads it, generates a context-aware reply, and saves it directly into your drafts folder so you can quickly review and send it when convenient. OTPs and verification emails are only useful for a short 1–2 minute window; after that, they simply clutter your inbox. InboxSentinel intelligently detects such emails, assigns a safe 60-minute timer, and automatically moves them to trash after expiry — with full recoverability for 30 days to eliminate any risk. Fraud and purely informational emails are archived automatically, while promotions and newsletters are not discarded blindly; instead, InboxSentinel groups them, extracts meaningful offers (such as travel deals from platforms like MakeMyTrip), summarizes them, and sends you a single “Daily Digest” email so you can review everything important in minutes. Through OpenClaw’s scheduled, self-triggering cron architecture, the entire system wakes up periodically (a given time window like every 6 hours) and performs the job and goes back to sleep again.

Ghetto-Bird Ai Pet

Ghetto-Bird AI Pet is an AI-powered virtual companion inspired by the creativity, resilience, and culture of urban communities. The project reimagines the digital pet experience by combining conversational AI, personality modeling, and adaptive learning to create a dynamic companion that evolves with its user. Unlike traditional virtual pets, Ghetto-Bird AI Pet is emotionally responsive and culturally aware. It learns from interactions, develops preferences, remembers conversations, and adapts its tone and personality over time. The AI pet can offer motivation, storytelling, humor, life advice, and entertainment, creating a personalized experience for each user. The project aims to make AI companionship more relatable and expressive by blending culture, technology, and emotional intelligence. Whether users are looking for a friend, a hype partner, or a daily check-in companion, Ghetto-Bird AI Pet grows alongside them — becoming smarter, more intuitive, and more uniquely theirs over time.

Limbahguna

Waste sorting is often slow and prone to human error, hindering the circular economy. We created Limbahguna to bridge the gap between digital identification and physical robotic action.Our system utilizes a unique Triple-Agent Architecture: 1.Groq LPU acts as the 'Tactical Neural Brain,' identifying waste grades in milliseconds. 2. Kiro (hosted on Vultr) is the 'Executive Agent,' autonomously commanding robotic arms to sort waste into physical bins without human intervention. 3. Google Gemini serves as the 'Strategic Brain,' analyzing long-term data to provide actionable circular economy insights and carbon-saving reports. By syncing everything through Supabase and hosting the dashboard on Netlify, we’ve built an end-to-end ecosystem that has already proven its impact by saving 1.2 kg of $CO_2$ in a single test run. This isn't just a scanner; it’s the future of autonomous environmental preservation.

AEGIS-SELF-HEALING-AI-IMMUNE-SYSTEM

Traditional WAFs fail against LLM attacks because hackers use context, not just keywords. AEGIS is an Autonomous AI Immune System designed to protect AI agents. It features a 4-layer defense grid: instant heuristic blocks, vector memory for known threats, and a Sentinel AI that detects novel zero-day attacks. Uniquely, AEGIS is self-healing, when a new attack is spotted, the system instantly "immunizes" its memory, blocking future attempts in milliseconds. Sophisticated attackers are routed to generative honeypots, wasting their time with fake data while the core agent remains secure and compliant.

TradeWise AI

Traders face information overload and emotional bias when making market decisions. TradeWise AI addresses this by combining automated technical market intelligence with behavioral insights and social content generation. The platform computes indicators (SMA, RSI, ATR, momentum), identifies patterns, and produces clear, human-readable explanations. It analyzes trader behavior—win rate, holding time, trade frequency—and provides psychology-driven recommendations and trade recovery probabilities. TradeWise AI also includes a RAG-backed search, on-demand content creation for social platforms, real-time alerts, and demo/offline modes for safe exploration. Built as an MVP, it’s aimed at retail traders, trading coaches, and small teams who want actionable analytics, better discipline, and shareable market narratives—while emphasizing education and sound risk management rather than guaranteed predictions.