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Software Development__code Generation__sql Query GenerationSoftware Development__dev Infrastructure__testing Qa__ui End To EndSoftware Development__code Generation__full Stack App GenerationSoftware Development__dev Infrastructure__testing QaSoftware Development__code GenerationSoftware Development__dev InfrastructureSoftware DevelopmentAI Agent
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autify.com
✓ verifiedFreemium
AI software testing platform whose autonomous agent Aximo generates and runs end-to-end tests across web, mobile, and desktop apps.
👁 80K/mo
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Text2SQL
✓ verifiedPaid
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
👁 20K/mo♥ 14K
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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
👁 1.1M/mo
Pricing
No public pricing
Free: $0 (2,000 one-time credits)
Starter: $99/mo billed annually (6,000 credits/mo)
Team: $450/mo billed annually (30,000 credits/mo)
Free trial available
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
No public pricing
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)
- ✦Aximo autonomous AI testing agent
- ✦Natural-language and visual test generation
- ✦End-to-end, regression, and visual testing
- ✦Web, mobile, and desktop coverage
- ✦Credit-based, concurrency-tiered plans
- ✦Managed QA and on-prem options
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating regression testing without scripting
- →Replacing manual QA workflows
- →Testing Salesforce, Canvas/WebGL, and mobile apps
- →Scaling test coverage for engineering teams
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
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