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How2
✓ verifiedFreemium
AI command-line helper that turns plain English into Bash, Zsh or PowerShell commands; free for light daily use.
1.3K visits/mo3.0K saves
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NavamAI
✓ verifiedFree
CLI-based personal AI that runs 15+ LLMs from your terminal and pairs with Markdown tools like Obsidian and VS Code.
991 visits/mo
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Text2Cron
✓ verifiedFree
Free client-side tool for developers that converts plain-English scheduling phrases into standard cron expressions.
177 visits/mo
Pricing
Free: $0 (5 AI queries/day)
Hacker: $9/mo (100 AI queries/day)
No public pricing
No public pricing
Core features
- ✦Natural-language to shell command suggestions
- ✦Models trained on Bash/Zsh commands
- ✦Optional StackOverflow search via -s flag
- ✦PowerShell support
- ✦Quick Bash script generation
- ✦Suggests but never auto-runs commands
- ✦Terminal/CLI interface for prompting LLMs
- ✦Access to 15 models across 7 providers
- ✦Markdown workflow integration (Obsidian, VS Code, MkDocs)
- ✦Situational web-app generation and local run
- ✦Web scraping/content extraction (gather)
- ✦Vision-model support for images
- ✦Configurable prompt templates and intents
- ✦Natural language to cron expression conversion
- ✦Support for time-, day-, and month-based schedule patterns
- ✦Client-side processing with no data storage
- ✦Compatible with Unix, Linux, AWS EventBridge, and Kubernetes CronJobs
- ✦Mobile-responsive interface
- ✦Example library of common scheduling patterns
Use cases
- →Recalling forgotten shell syntax
- →Writing quick Bash one-liners
- →Learning terminal commands
- →Generating scripts from a description
- →Prompt and compare multiple LLMs from the terminal
- →Generate and run small web apps without setup
- →Automate Markdown document workflows
- →Extract structured content from text and webpages
- →Writing cron syntax for automated backups or log rotation
- →Setting up CI/CD build and deployment schedules
- →Configuring cloud function or Kubernetes CronJob schedules without memorizing syntax
- →Quickly checking or converting cron expressions on mobile devices
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