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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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SQLAI.ai
✓ verifiedPaid
AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.
26K visits/mo2.7K saves
Pricing
No public pricing
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)
Hobby: $4/mo (50 queries/month)
Starter: $6/mo (200 queries/month)
Explorer: $10/mo (1,000 queries/month)
Pro: $20/mo (3,000 queries/month)
Free trial available
No public pricing
Starter: Free forever
Professional: $19 /mo
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)
- ✦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
- ✦Natural-language to SQL/NoSQL query generation
- ✦AI-driven query optimization with rewrite suggestions
- ✦Syntax validation with automated error fixes
- ✦Query formatting and cross-engine conversion
- ✦Schema-aware data source connections with autosuggest
- ✦Rule-based guardrails per connected data source
- ✦Support for large schemas with 900+ tables
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- ✦Natural language to spreadsheet generation
- ✦Live formulas, charts, and pivot tables
- ✦Automated data integration (Stripe, QuickBooks, Epic, HubSpot, SQL databases, etc.)
- ✦PDF OCR and data extraction
- ✦Smart Context (AI remembers goals, data sources, tasks)
- ✦50+ AI Tools (formatting, data validation, web search, financial APIs, SQL queries)
- ✦HIPAA compliance with BAA available
- ✦Automated data synchronization
- ✦Export to Excel, CSV, or Google Sheets
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification
- →Analysts writing SQL without deep query-syntax knowledge
- →Developers debugging and optimizing slow queries
- →Teams standardizing SQL formatting across a codebase
- →Migrating queries between database engines
- →Learners wanting plain-language explanations of SQL statements
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- →Monitor HubSpot sales pipeline performance, track conversion rates, and generate executive summaries.
- →Automate financial reporting by pulling revenue from Stripe, expenses from QuickBooks, and pipeline data from HubSpot to generate MRR dashboards, churn analysis, and investor reports.
- →Perform healthcare data analysis by integrating with EHR/EMR systems like PointClickCare and Epic to pull patient medication data, calculate per-resident P&L, and analyze reimbursements.
- →Convert uploaded invoices (PDFs) into structured spreadsheet data with formulas applied automatically.
- →Query databases like PostgreSQL, MySQL, and Supabase using natural language to populate spreadsheets with live data.
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