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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
775K visits/mo
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Text2SQL
✓ verifiedPaid
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
20K visits/mo14K saves
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Aide Dev
✓ verifiedPaid
Aide helps developers code faster with parallel agents and automated workflows.
7.6K visits/mo
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RepoClip
✓ verifiedFreemium
AI tool that turns a GitHub repo URL into a narrated promotional demo video in minutes.
5.3K visits/mo2.1K saves
Pricing
No public pricing
Historical Data Pack: $49.9
Base Plan: $14.9/month
Advanced Plan: $24.9/month
Enterprise Plan: $34.9/month
Text2SQL.AI: $7.00-$48.00
Text2SQL.AI Pro: $29.00-$228.00
Free trial available
Standard: $49 per month
Credit Pack: $5 one-time (40 credits)
Kling Pack: $9.99 (1 premium video + 40 bonus credits)
Starter: $24/month (50 credits/month)
Pro: $66/month (200 credits/month)
Agency: $166/month (800 credits/month)
Core features
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Commits and Pull Requests Dashboard
- ✦Advanced Developer Skills Analysis
- ✦Strategic Investment Balance Monitoring
- ✦Collaborative Developers Map
- ✦Benchmarking Comparison with Other Teams
- ✦Smart Notifications
- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
- ✦AI code analysis to generate a video script (via Gemini)
- ✦AI-generated still images and cinematic video clips (Nano Banana 2, Kling 3.0 Pro)
- ✦AI narration using preset OpenAI text-to-speech voices (no voice cloning)
- ✦Support for private repositories via GitHub OAuth
- ✦Public API and GitHub Action for CI/CD-triggered videos
- ✦Credit-based free and paid tiers with resolution/watermark differences
Use cases
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →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
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
- →Developers announcing new features with a shareable demo video
- →Founders creating investor-pitch product demos from their codebase
- →Open-source maintainers promoting a project to attract contributors
- →Teams automating a demo video on every release via CI/CD
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