JusTTY vs The new Firecrawl /search
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
JusTTY
A simple native macOS terminal built on Swift and libghostty
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | JusTTY |  The new Firecrawl /search |
|---|---|---|
| Primary Category | Developer Tools | Developer Tools |
| Community Rating | No ratings(0 reviews) | 5.0(15 reviews) |
| Community Upvotes | 87 votes | 268 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#GitHub#Tech | #Developer Tools#Search |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About JusTTY
JusTTY is a simple, native macOS terminal built by developer Filip (0x96f) using Swift and libghostty. Designed with minimalism in mind, it provides a clean terminal experience tailored for everyday use.
Rather than overloading users with an extensive array of complex configurations and heavy power-user features, JusTTY focuses on delivering a streamlined, native application experience on macOS. Open-sourced on GitHub, it leverages modern technologies to offer a reliable, lightweight command-line environment.
Pros of JusTTY
- Built natively for macOS using Swift
- Powered by libghostty for a reliable terminal backend
- Minimalist design tailored for everyday tasks
- Open-source project available on GitHub
Cons of JusTTY
- Lacks advanced bells and whistles expected by heavy power users
- Limited to macOS
- Not packed with complex configuration ecosystems out of the box
Frequently Asked Questions
What technologies is JusTTY built on?
JusTTY is built natively for macOS using Swift and libghostty.
Is JusTTY suitable for power users?
JusTTY is designed with minimalism in mind for everyday use and is purposely not packed with the heavy bells and whistles that power users typically expect.
Where can I find the source code for JusTTY?
You can find the source code and repository on GitHub via the official project link.
About The new Firecrawl /search
The new Firecrawl /search is a specialized Search API built specifically to help AI agents ground themselves in the web efficiently and accurately. Traditionally, enabling AI agents to read full pages for every query burns through context windows and tokens rapidly. Firecrawl solves this by training a custom model that extracts only the specific excerpts from each search result that best answer the user's query.
By providing highly relevant context without the bloat, the tool outperforms processing full pages while using 10x fewer tokens. Notably, on SimpleQA benchmarks, AI agents utilizing Firecrawl /search achieve an impressive score of 94.7%, outperforming competing providers. This feature is live today on every /search call for developers building advanced AI systems.
Pros of The new Firecrawl /search
- Uses 10x fewer tokens compared to processing full web pages
- Delivers highly relevant context and excerpts tailored to specific queries
- Achieves a top-tier 94.7% score on SimpleQA benchmarks for AI agents
- Seamlessly integrated into every /search call
Cons of The new Firecrawl /search
- Primarily optimized for AI agents and developer workflows rather than casual human browsing
- Relies entirely on search-and-excerpt models which may require full-page scraping for edge cases not covered by highlights
Frequently Asked Questions
What is The new Firecrawl /search?
It is a specialized Search API designed for AI agents. Instead of returning full pages that consume tokens quickly, it uses a trained model to return precise excerpts that best answer a given query.
How does Firecrawl /search save tokens?
It uses 10x fewer tokens than traditional methods by extracting only the most relevant content and context excerpts from each search result rather than forcing your AI agent to read full web pages.
How well does it perform on benchmarks?
On SimpleQA, AI agents utilizing Firecrawl /search score 94.7%, which ranks higher than any other competing provider.