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EverSQL
✓ verifiedPaid
AI SQL optimizer for PostgreSQL and MySQL; well-regarded niche developer tool.
👁 6.5K/mo
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Refraction.dev
✓ verifiedFreemium
AI code-generation tool creating tests, docs and refactors for developers.
👁 2.8K/mo
Pricing
No public pricing
Free: $0 /month
Starter: $129 /month
Plus: $490 /month
Enterprise: $2898 /month
Hobby: Free
Pro: $8 per month
Team: $14 per user per month
Pro: $80 per year
Team: $140 per user per year
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Automatic SQL Query Optimization
- ✦Ongoing AI-based Performance Insights
- ✦Cost Reduction Recommendations
- ✦Code generation in 56 languages
- ✦Unit test generation
- ✦Code refactoring
- ✦Inline documentation creation
- ✦Bug detection
- ✦Code conversion between languages
- ✦Function creation
- ✦CSP generation
- ✦CSS style conversion
- ✦Debug statement addition
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Optimizing slow SQL queries to improve application performance.
- →Monitoring database performance to identify potential bottlenecks.
- →Reducing database costs by identifying redundant indexes and schema optimizations.
- →Generating unit tests for existing codebases
- →Refactoring legacy code to modern practices
- →Creating inline documentation for better code understanding
- →Converting code from one language to another
- →Generating SQL queries based on requirements
- →Creating CI/CD pipelines for automated deployment
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
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