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TinyCommand
✓ verifiedFreemium
All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.
👁 31K/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
Pricing
Free: $0/mo (1,000 credits, 1 seat, unlimited forms)
Basic: $17/mo billed annually at $199/yr (10,000 credits, 3 seats)
Professional: $42/mo billed annually at $499/yr (50,000 credits, 10 seats)
Agency: $125/mo billed annually at $1,499/yr (250,000 credits, 50 seats)
No public pricing
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
No public pricing
No public pricing
Core features
- ✦Drag-and-drop form builder with conditional logic
- ✦Workflow automation with 60+ node types and 400+ integrations
- ✦Prebuilt and custom AI agents for tasks like lead scoring
- ✦Relational database with AI-enriched columns
- ✦Drag-and-drop email builder with AI-drafted content
- ✦Company and contact enrichment and web research tools
- ✦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)
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Natural language to SQL conversion
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Use cases
- →Capturing and automatically routing sales leads
- →Building onboarding or support-triage workflows
- →Running AI-driven lead scoring and qualification
- →Sending personalized, data-merged email campaigns
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Generating SQL queries from text descriptions.
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