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Langtail
✓ verifiedFreemium
Spreadsheet-like prompt management platform for product teams to build, test and deploy AI prompts collaboratively.
7.0K saves
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AIprm
✓ verifiedFreemium
Browser extension adding a community prompt library and prompt management to ChatGPT, Claude and other AI tools.
920K visits/mo
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Groq
✓ verifiedFreemium
Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
3.6M visits/mo
Pricing
Free: $0/mo
Pro: $99/mo (1 user)
Team: $499/mo (10 users)
Plus: $10
Pro: $33
No public pricing
GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens
Core features
- ✦Spreadsheet-like prompt interface
- ✦Collaborative prompt building
- ✦Prompt testing and validation
- ✦Model and parameter experimentation
- ✦Performance insights
- ✦Deployment to production
- ✦4000+ community prompt templates
- ✦Private prompt storage and lists
- ✦Team prompt sharing
- ✦Tone and writing-style controls
- ✦Power Continue output controls
- ✦Works with ChatGPT, Claude, Gemini and more
- ✦Full-Screen Prompt Editor
- ✦Custom Prompt Management
- ✦Auto-Save & Recovery
- ✦Privacy Protection
- ✦Chat History & Notes (Coming Soon)
- ✦Prompt Library (Coming Soon)
- ✦LPU custom inference hardware
- ✦GroqCloud tokens-as-a-service API
- ✦High-speed, low-latency inference
- ✦Pay-as-you-go token pricing
- ✦Free API key to start
- ✦Broad open-model support
Use cases
- →Manage AI prompts across a team
- →Test and compare prompts and models
- →Deploy and monitor prompts in production
- →Speeding up marketing and SEO tasks
- →Reusing and organizing prompts
- →Standardizing team prompts
- →Improving ChatGPT output quality
- →Effortlessly edit and manage detailed prompts with a spacious, full-screen input box.
- →Save, organize, and quickly access frequently used prompts for seamless interactions.
- →Automatically save inputs and protect against prompt loss from network disruptions.
- →Filter sensitive information automatically with customizable privacy settings.
- →Search and convert chat history into organized notes for easy reference and future use.
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
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