Free .gitignore generator for developers to create clean, deterministic ignore files for any tech stack in seconds
Open-source API mock server for multiple protocols
Stage
Not given
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Founded
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Based in
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US
Pricing model
Free
Freemium
Pricing
Not given
Free: $0/month with 10,000 requests/month and local mocks only. Pro: $29/month with 250,000 requests/month, 100,000 platform AI tokens/month, and 3 hosted mocks. Team: $99/month with 1,000,000 requests/month, 1,000,000 platform AI tokens/month, and unlimited hosted mocks. Annual plans include 2 mont
Key features
228+ curated templates for languages, frameworks, tools, and IDEs
Combine multiple templates with automatic deduplication
Deterministic merging eliminates exact duplicates while preserving negation rules
100% client-side processing with instant generation
Copy or download generated .gitignore files
No account or registration required
Live syntax viewer with rule counts and categorized patterns
Safety guards protect Git metadata and critical project files
Templates seeded from GitHub's official gitignore repository
Multi-protocol support (REST, gRPC, GraphQL, WebSocket, Kafka, MQTT and more)
Realistic data synthesis with template tokens and faker fields
Latency and fault injection for testing retries and fallbacks
Record and replay for capturing and replaying live traffic
Modern admin UI for managing servers, overrides and metrics
Configuration as code with OpenAPI specs and YAML
Local-first development without account requirement
CI integration with local endpoints
HTTP bridge exposing gRPC services over REST
BYOK AI integration with user provider keys
What makes it different
Deterministic generation ensures selecting the same technology stack always produces identical output
Semantic deduplication preserves comments and context while removing exact duplicate lines
Zero-lag client-side processing with no server roundtrips
Seeded from official GitHub repository with supplementary curated layer for modern tools
Distraction-free monochrome interface with dark and light mode support
Multi-protocol mocking from one configuration file
Realism-first simulation with data synthesis and failure injection
Open source with permissive MIT or Apache-2.0 licensing
Local-first approach with optional cloud collaboration