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Software Development__coding Assistants Copilots__code Chat Q ASoftware Development__code Generation__full Stack App GenerationSoftware Development__dev Infrastructure__code Docs ReviewSoftware Development__code GenerationSoftware Development__coding Assistants CopilotsData Analytics__computer Vision RecognitionSoftware Development__dev InfrastructureData Analytics
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Sherpa Coder
✓ verifiedFree
VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
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EOS Data Analytics
✓ verifiedPaid
Satellite data analytics provider turning imagery into AI-driven insights for agriculture, forestry and infrastructure.
👁 1.0M/mo
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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
👁 1.1M/mo
Pricing
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
No public pricing
No public pricing
No public pricing
Core features
- ✦Commits and Pull Requests Dashboard
- ✦Advanced Developer Skills Analysis
- ✦Strategic Investment Balance Monitoring
- ✦Collaborative Developers Map
- ✦Benchmarking Comparison with Other Teams
- ✦Smart Notifications
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦LandViewer imagery search and analysis
- ✦Crop Monitoring for precision agriculture
- ✦EOS RayVision analytical reports
- ✦Crop classification and yield prediction
- ✦Infrastructure and change monitoring
- ✦Deforestation and damage mapping
- ✦EOSDA API and 20+ satellite data sources
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
Use cases
- →Visualize historical graphs of code evolution
- →Assess development team performance using RSI and EMA
- →Understand developer skills and identify areas for improvement
- →Categorize commits by type (fixes, refactoring, etc.) to analyze investment balance
- →Identify individual and collective contributors within the team
- →Compare team performance with industry benchmarks
- →Receive weekly and monthly reports with AI-extracted insights
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Monitoring crop health and predicting yields
- →Tracking infrastructure and construction
- →Disaster damage and deforestation mapping
- →Maritime and border surveillance
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
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