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devActivity
✓ verifiedFreemium
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
52K visits/mo
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Base44
✓ verifiedFreemium
No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.
18M visits/mo
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Tusk AI
✓ verifiedFreemium
AI test-generation layer for engineering teams using coding agents, producing unit/API tests based on real production traffic.
2.0K saves
Pricing
No public pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
Free: $0/mo (individual developers)
Team: $50/mo per active developer
Free trial available
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
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- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- ✦Prompt-to-app full-stack generation
- ✦Built-in backend, database and auth
- ✦One-click integrations (Slack, Notion, HubSpot, etc.)
- ✦Instant hosting and custom domains
- ✦Superagents for automated workflows
- ✦GitHub sync and code export
- ✦Generates unit and API tests from real production traffic patterns
- ✦Self-healing test maintenance as code changes over time
- ✦Runs via a single CLI command locally or in CI
- ✦CoverBot to backfill test coverage on existing codebases
- ✦Automated code review comments posted directly on pull requests
- ✦Observability and monitoring for test and coverage trends
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Building internal tools and dashboards
- →Launching websites and landing pages
- →Creating customer portals and CRMs
- →Deploying AI agents that automate tasks
- →Catching regressions in PRs generated by AI coding agents
- →Backfilling test coverage on a legacy codebase
- →Monitoring API contracts for breaking changes
- →Safely refactoring code with an automated regression safety net
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