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HumanLayer
✓ verifiedFreemium
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
197K visits/mo
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Cerebras
✓ verifiedFreemium
Wafer-scale AI hardware and inference cloud delivering record-fast, low-latency inference for open and frontier models.
817K visits/mo
Pricing
No public pricing
Pay-as-you-go: 42.8% platform fee for corporate, 33.3% for academic/non-profit (no monthly fee)
Participant payment: minimum $8.00/hr, recommended $12.00/hr
No public pricing
Free: $0 (all models, community support)
Developer: from $10 (higher rate limits)
Cerebras Code Pro: $50/mo (24M tokens/day)
Max: $200/mo (120M tokens/day)
Core features
- ✦AI Chatbot powered by ChatGPT, GPT-4o & Gemini
- ✦Available on multiple platforms (Web, iPhone, Apple Watch, macOS, Android)
- ✦Humanlike responses
- ✦Homework assistance
- ✦Proofreading
- ✦AI Writing Assistant
- ✦Access to a verified and engaged participant pool
- ✦Self-serve platform for easy task setup and launch
- ✦Tools for AI training and evaluation
- ✦Fair compensation for participants
- ✦Audience checker
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Wafer-Scale Engine AI processor
- ✦High-speed inference API (OpenAI-compatible)
- ✦Cloud, on-prem and on-device deployment
- ✦Support for GLM, Qwen, Llama, GPT-OSS and more
- ✦Fine-tuning and training on one platform
- ✦Partner access via AWS, OpenRouter, HuggingFace, Vercel
Use cases
- →Get help with homework, from essays and compositions to math questions.
- →Proofread written work to create professional-grade documents.
- →Get personalized help with any writing project, from essays to social media posts.
- →Act as a travel agent.
- →Academic research
- →AI training and evaluation
- →Market research
- →User research & testing
- →Data annotation
- →Training & alignment
- →Evaluation & safety
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Low-latency inference for agents and copilots
- →Real-time voice and reasoning apps
- →Fine-tuning and serving custom models
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