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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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Ellipsis
✓ verifiedPaid
Cloud platform to run coding agents in isolated sandboxes with scoped permissions, budget caps, and fleet observability.
👁 5.5K/mo♥ 4.1K
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Google Opal
✓ verifiedFree
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
👁 2.1M/mo
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
Usage-based: ~$0.74 per code review
Usage-based: ~$1.91 per feature build
$100 free credit for new orgs
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)
- ✦Isolated per-session sandboxes
- ✦Scoped credentials and permissions
- ✦Hard budget caps per session/day/month
- ✦Fleetwide observability and audit logs
- ✦Agents defined in YAML, deployed via git
- ✦Event, cron, and @mention triggers
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
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
- →Automated AI code review on PRs
- →Fixing bugs and Sentry alerts
- →Adding tests and bumping dependencies
- →Running many coding agents in parallel
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
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