Rainforest QA
rainforestqa.comCreate visual, no-code browser tests with AI planning and API or CLI runs for CI.
Create visual, no-code browser tests with AI planning and API or CLI runs for CI.
Strength-workout planning with adjustable sets, repetitions and weights
Draw an outdoor route, inspect its hills and choose optional guided navigation
Arrange vegetable beds and track growing dates
A project planner for dependencies, Gantt charts, critical paths, resources, budgets, and portfolios.
AI writing and study tools for humanizing text, checking AI detection, and building study material.
Plan and optimize multi-stop delivery routes, then navigate in Google Maps, Waze, or Apple Maps.
AI calendar that turns voice or text into scheduled tasks and connects your calendars.
Strength-workout suggestions based on equipment and training history
Trace server-side requests to find slow methods, database queries, and external service calls.
An API for looking up and contributing ingredient, nutrition, and product details by barcode or search.
Stream per-second infrastructure metrics from Netdata Agents into local or cloud observability views.
A hosted server-monitoring service for host metrics, cloud integrations, containers, alerts, and dashboards.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
Instrument LLMs, agents, vector databases, and frameworks with OpenTelemetry-native AI monitoring.
Collect application traces, metrics, logs, and error signals with language-specific agents.
Collect infrastructure and application metrics, chart them, and alert when monitored conditions need attention.
Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.
Combine online booking pages with team routing and an AI phone agent that can schedule appointments.
Collect automated test results in one place and analyze failures across test runs.
A project-based JavaScript and TypeScript IDE with code navigation, refactoring, testing, and debugging tools.
Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.
Insurance deal pipelines with agent-specific follow-up automation
Automate system configuration and deployment with inventory files and reusable YAML playbooks.