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Quilter
✓ verifiedPaid
Reinforcement-learning engine that auto-places and routes PCB layouts from existing CAD files, validated against physical constraints.
68K visits/mo
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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VideoSDK
Free trial
Developer APIs and SDKs to embed real-time voice, video, live streaming, and AI voice agents into web and mobile apps.
164K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
Pay-As-You-Go: audio from $0.001/min
Pay-As-You-Go: video from $0.004/min
Free trial available
Core features
- ✦Imports existing projects from major ECAD tools
- ✦Generates thousands of candidate board layouts via reinforcement learning
- ✦Flags bypass capacitors, impedance nets, and differential pairs for review
- ✦Supports parallel iteration across stack-ups and manufacturers
- ✦Transparent design review against a full constraint checklist
- ✦Returns files in the same CAD format for DRC and fab-file generation
- ✦URL-based NFT minting
- ✦AI-driven metadata generation
- ✦Universal Assets (UA) platform
- ✦ERC-404 compatibility
- ✦AI Agent asset management
- ✦Versioning NFT
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Audio and video calling APIs and SDKs
- ✦Interactive live streaming APIs and SDKs
- ✦AI voice agent integration
- ✦Web and mobile platform support
- ✦Pay-as-you-go pricing with one-time $20 free credit
Use cases
- →Speeding up IC evaluation board layout from weeks to hours
- →Cutting design validation board cycles from months to days
- →Reducing backplane and interconnect board bring-up time
- →Iterating multiple layout candidates in parallel before fabrication
- →Converting Web2 content into Web3 assets
- →Creating and managing Universal Assets (UA)
- →Automating equity exercise with AI agents
- →Monetizing digital content through NFTs
- →Managing and trading tokenized real-world assets (RWA)
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Embedding video and audio calling into web and mobile apps
- →Adding interactive live streaming to a platform
- →Building AI voice agent experiences into products
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