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QA.tech
✓ verifiedPaid
AI agent-based end-to-end testing platform for SaaS teams that runs exploratory and PR-triggered tests without maintaining test scripts.
👁 29K/mo♥ 8.7K
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AskYourDatabase
✓ verifiedFreemium
AI chatbot that turns plain-English questions into SQL, letting non-technical teams query and visualize their databases.
👁 10K/mo♥ 9.0K
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
No public pricing
No public pricing
Desktop Ultimate: $49/mo
Website Chatbot Scale: $149/mo (1,000 questions/mo)
Website Chatbot Established: $329/mo (1,500 questions/mo)
Core features
- ✦Integration with Notion databases
- ✦Unlimited fields and submissions
- ✦Customizable form styling
- ✦Conditional logic and validation rules
- ✦Ready-made form templates
- ✦File uploads
- ✦Multi-page forms
- ✦Email, Slack, and Discord notifications
- ✦Submission editing
- ✦Form protection (password, captcha)
- ✦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)
- ✦AI agents that visually explore and test UI like a real user
- ✦Automatic PR-triggered test runs via GitHub/Vercel preview integration
- ✦Self-healing tests that adapt to UI and workflow changes
- ✦Mobile web, iOS, and Android app testing support
- ✦Detailed debugging with screenshots, logs, and failure reasoning
- ✦Cloud-native execution with no source-code access required
- ✦Natural-language to SQL queries
- ✦Automatic data visualization
- ✦Natural-language dashboard builder
- ✦Works with many major databases
- ✦Embeddable chatbot widget
- ✦Fine-grained access control and self-hosting
Use cases
- →Guest blog submission forms
- →Event attendee check-in forms
- →Customer satisfaction surveys
- →Patient intake forms
- →Photography quotation requests
- →Equipment rental requests
- →Photo shoot permit requests
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Engineering teams wanting regression testing without maintaining scripts
- →SaaS companies needing continuous QA feedback on every pull request
- →Teams replacing manual QA hours with automated agent-driven testing
- →Ad-hoc queries for non-technical staff
- →Building dashboards without SQL
- →Embedding data chat for customers
- →Exploring production databases safely
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