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16x Prompt
✓ verifiedFreemium
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
21K visits/mo
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Boost.space
✓ verifiedPaid
Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
95K visits/mo
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Wonderchat
✓ verifiedPaid
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
82K visits/mo12K saves
Pricing
No public pricing
No public pricing
Free: $0 (10 prompts/day)
Individual lifetime license: $48
Team lifetime license: $68
No public pricing
No public pricing
Core features
- ✦Universal Prompt creation and adaptation
- ✦Cross-model deployment
- ✦Built-in TestBed for performance gauging
- ✦Team collaboration and versioning
- ✦U-Block support for universal prompts
- ✦Midjourney AI artistic styles library
- ✦SREF codes library
- ✦Midjourney Guides
- ✦Midjourney Tools (Color Roulette, Style Benchmark)
- ✦Personal Libraries
- ✦Style Compilations
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
Use cases
- →Creating prompts that work consistently across different AI models without manual rewriting.
- →Building and deploying prompts for applications requiring integration with multiple LLMs.
- →Collaborating with team members on prompt engineering and management.
- →Testing and optimizing prompt performance across various models.
- →Exploring different artistic styles for Midjourney AI
- →Finding SREF codes for specific styles
- →Learning how to use Midjourney effectively
- →Creating consistent and visually appealing AI art
- →Generating unique and creative images with Midjourney
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources
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