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ApX Machine Learning logo
ApX Machine Learning
✓ verifiedFreemium

Tools, model specs and courses for LLM engineers-VRAM calculator, benchmarks and model directory-with free and paid tiers.

355K visits/mo
Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
honeyhive.ai logo
honeyhive.ai
✓ verifiedFreemium

Observability and evaluation platform for production LLM agents, built on OpenTelemetry for tracing, monitoring and testing.

24K visits/mo
27K visits/mo
Verdent logo
Verdent
✓ verifiedFreemium

Credit-based AI coding agent that builds full applications from plain-language instructions, including backend, billing, and admin features.

1.0M visits/mo39K saves
Pricing
Basic: $0/mo (free forever)
Pro: $19/mo
Pro+: $59/mo

No public pricing

Developer: $0 (10K events/month, up to 5 users, 30-day retention)

No public pricing

Starter: $19/mo (480 credits/mo including bonus)
Pro: $59/mo (1,500 credits/mo including bonus)
Max: $179/mo (4,500 credits/mo including bonus)
Teams: $20/user/mo (480 credits/user/mo)

Free trial available

Core features
  • VRAM/GPU-memory calculator for LLMs
  • LLM performance rankings and benchmarks
  • Model directory and comparison
  • AI/ML courses and learning roadmap
  • Calculator API and exportable cost reports
  • Engineering blog and guides
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
  • OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
  • Online evaluation via LLM-as-a-judge or code
  • Offline experiments and regression detection
  • Annotation queues for expert review
  • Alerts and drift detection
  • Prompt management, CLI and docs MCP server
  • Open-Source AI Gateway
  • Multi-LLM Management & Cost Optimization
  • Efficient and Secure LLMs Invocation
  • Unified API Signature for LLMs
  • Load Balancer for seamless switching between LLMs
  • Fine-Grained Traffic Control for LLMs
  • LLM Quota Management
  • Real-time LLM Traffic Monitoring
  • Caching Strategies for AI in Production
  • Flexible Prompt Management
  • Builds complete apps (auth, storage, payments, admin) from natural-language prompts
  • Runs on top of multiple frontier coding models
  • Retains full project context across sessions for incremental feature additions
  • Remote task submission via Slack/Telegram messaging
  • 'Eco Mode' for lower-cost usage without consuming credits
  • VS Code and JetBrains IDE integrations plus a desktop app
Use cases
  • Estimating GPU memory before training or inference
  • Comparing and selecting LLMs
  • Learning ML and LLM engineering
  • Modeling production deployment costs
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
  • Debugging multi-agent systems
  • Monitoring live agent quality at scale
  • Catching regressions before release
  • Human review of edge cases
  • Aligning automated evaluators with domain experts
  • Building API portals for secure sharing of internal APIs with partners.
  • Tracking API usage and driving API monetization.
  • Managing and securing API access in compliance with enterprise policies.
  • Connecting to multiple AI large models simultaneously.
  • Optimizing LLM costs and improving efficiency.
  • Protecting against LLM attacks and data leaks.
  • Solo founders building a launchable product without a dev team
  • Developers offloading multi-step feature builds to an autonomous agent
  • Teams wanting a shared coding agent with pooled usage billing
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