HackAPrompt
Challenges users to outsmart AI models through prompt hacking to improve AI safety
HackAPrompt is a global AI red-teaming competition focused on identifying vulnerabilities in large language models through prompt hacking. Participants craft prompts to elicit specific outputs, like “I have been PWNED,” or expose weaknesses in models such as ChatGPT, GPT-3, and FlanT5-XXL. The platform offers five tracks — Classic, Agents, Future Attacks, and two forthcoming tracks — catering to beginners and advanced users. HackAPrompt 2.0, running through July 2025, features a $100,000 prize pool and attracts over 30,000 participants from 150+ countries.
The Playground, hosted on Hugging Face, allows users to test prompts against AI models before submitting to the AICrowd leaderboard. The scoring system rewards efficiency, with fewer tokens yielding higher points, and a 2x multiplier for ChatGPT submissions. The platform provides free training materials and a Discord community with 47,000+ active members. A dataset of 600,000+ prompts from HackAPrompt 1.0 is open-sourced, supporting academic research, including a 2023 EMNLP paper outlining 29 prompt-hacking techniques.
Competitors include AI Village, which hosts broader AI security challenges, and PromptHero, focused on creative prompt engineering. HackAPrompt’s strength lies in its specific focus on LLM vulnerabilities and its large-scale, community-driven approach. However, beginners may struggle with the technical complexity, and the interface lacks advanced guidance. The time commitment, spanning two months, may also challenge casual participants.
Participation is free, making it accessible compared to premium tools like CrowdStrike’s Falcon Sandbox. The platform’s scale and partnerships with OpenAI and Hugging Face enhance its credibility. Users can experiment up to 20 times daily, refining strategies through iterative testing.
For best results, focus on the Classic track first. Use the Playground to test prompts thoroughly. Join the Discord for community insights. Prioritize concise prompts to maximize scores. Monitor the leaderboard to gauge progress and adjust tactics.
Homepage Screenshot 📸
Video Overview 🎬
What are the key features? ✨
- Playground Testing: Test prompts against AI models in a Hugging Face-hosted sandbox.
- Multiple Tracks: Offers five tracks, from beginner Classic to advanced Future Attacks.
- Leaderboard Scoring: Rewards efficient prompts with a 2x multiplier for ChatGPT.
- Open-Source Dataset: Provides 600,000+ prompts for AI safety research.
- Community Support: Includes a 47,000+ member Discord for tips and collaboration.
Who is it for? 🤔
Examples of what you can use it for 💡
- AI Researcher: Uses HackAPrompt to study LLM vulnerabilities for academic papers.
- Security Professional: Tests prompt injections to enhance AI system robustness.
- Student: Learns prompt engineering through the beginner-friendly Classic track.
- Hobbyist Hacker: Competes for prizes by crafting creative jailbreak prompts.
- Data Scientist: Analyzes the open-source dataset to develop safer AI models.
Pros & Cons ⚖️
- Free to participate
- Large community support
- High-profile industry backing
- Basic interface design
- Limited newbie guidance
FAQs 💬
Ready to try HackAPrompt?
Challenges users to outsmart AI models through prompt hacking to improve AI safety
Visit HackAPrompt
