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forms app
✓ verifiedPaid
Established online form/survey/quiz builder with automation; very high traffic.
1.1M visits/mo4.2K saves
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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 visits/mo14K saves
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Vanna AI
✓ verifiedFreemium
Open-source and cloud SQL agent that lets non-technical users query company databases in natural language, with admin controls for teams.
66K visits/mo1.2K saves
Pricing
Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month
No public pricing
No public pricing
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
Explorer: $50/month (20 questions/day, for 2-3 person teams)
Team: $500/month (300 questions/day)
Core features
- ✦Form Builder
- ✦Survey Maker
- ✦Quiz Maker
- ✦Store Builder
- ✦AI Form Generator
- ✦500+ Integrations
- ✦Template Library
- ✦Data Analysis Tools
- ✦Workflow Automation
- ✦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)
- ✦Zero-ETL data integration
- ✦Federated Query
- ✦Streaming Ingestion
- ✦Instant Replication with CDC
- ✦API to SQL conversion
- ✦NoSQL to SQL conversion
- ✦SQL to API conversion
- ✦Self-service Integration
- ✦Generate SQL with AI
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Natural-language to SQL query generation
- ✦Support for multiple LLM providers and database backends
- ✦Multi-turn, multi-database conversational querying
- ✦Role-based access control on hosted tiers
- ✦Real-time observability and tracing
- ✦Hosted vector database for agent memory
- ✦Audit logging and long-term data retention
Use cases
- →Collecting customer feedback
- →Conducting market research
- →Creating online quizzes for education or entertainment
- →Selling products through online forms
- →Automating business processes
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Query data directly from its source in real-time.
- →Process data wherever it is, blending data from different sources.
- →Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
- →Replace nightly batch ingestion with real-time data access.
- →Treat every data source like a relational database by converting APIs to tables.
- →Use SQL to query NoSQL databases.
- →Query consolidated data and expose it with APIs.
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Letting non-SQL business users query company data directly
- →Reducing analyst time spent writing routine SQL
- →Deploying a governed, access-controlled chat-to-SQL agent for a team
- →Self-hosting an open-source text-to-SQL agent for full control
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