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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

TinyCommand logo
TinyCommand
✓ verifiedFreemium

All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.

31K visits/mo

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

5.2K saves
21K visits/mo
Base44 logo
Base44
✓ verifiedFreemium

No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.

18M visits/mo

Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.

1.3M visits/mo17K saves
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

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
CPU (Small): $0.000025/sec ($0.09/hr)
Nvidia A100 80GB: $0.0014/sec ($5.04/hr)
Nvidia H100: $0.001525/sec ($5.49/hr)

Free trial available

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)
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Prompt-to-app full-stack generation
  • Built-in backend, database and auth
  • One-click integrations (Slack, Notion, HubSpot, etc.)
  • Instant hosting and custom domains
  • Superagents for automated workflows
  • GitHub sync and code export
  • One-line API calls to run community and proprietary AI models
  • Support for image, video, speech, and LLM generation models
  • Fine-tuning and custom model deployment via Cog
  • Per-second usage billing on shared or dedicated hardware
  • Automatic scaling for high-traffic private models
  • Thousands of community-published models with production APIs
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
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Building internal tools and dashboards
  • Launching websites and landing pages
  • Creating customer portals and CRMs
  • Deploying AI agents that automate tasks
  • Developers embedding image/video/speech generation into an app via API
  • Teams deploying and scaling their own fine-tuned models
  • Builders comparing outputs from multiple AI models in one playground
  • Companies avoiding GPU infrastructure management for ML inference
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