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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

GitHub

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

♥ 5.2K

CometAPI

✓ verifiedPaid

Unified API to 500+ AI models (OpenAI, Anthropic, Google, etc.) with OpenAI-compatible calls priced ~20% below official rates.

👁 363K/mo♥ 4.8K

Google Opal

✓ verifiedFree

Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.

👁 2.1M/mo

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

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

Pay-as-you-go, min top-up $10

GPT-5.6: $4 / 1M tokens

Claude Sonnet 5: $1.6 / 1M tokens

Free trial available

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)

✦One key for 500+ models
✦OpenAI-compatible API
✦Pay-as-you-go credits (~20% below list)
✦Multimodal: text, image, video, audio
✦Usage analytics and budget alerts
✦Integrations (Claude Code, n8n, Zapier, etc.)

✦Build AI mini-apps from natural-language prompts
✦Visual editor for prompt/tool workflows
✦Share created apps with others
✦No-code AI app prototyping

✦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

→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

→Consolidating multi-provider AI billing
→Switching models without re-integration
→Powering apps and automation pipelines
→Benchmarking models in one playground

→Prototyping an AI workflow quickly
→Sharing a custom AI mini-app
→Automating a task with chained prompts

→Building scalable single-page apps
→Enterprise web application development
→Performance-critical front ends
→Learning modern web development

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