Software Alternatives, Accelerators & Startups

Reactive Search VS Quod AI

Compare Reactive Search VS Quod AI and see what are their differences

Reactive Search logo Reactive Search

UI components for building Amazon / Yelp like Search

Quod AI logo Quod AI

Find the code you need faster
  • Reactive Search Landing page
    Landing page //
    2019-02-18
  • Quod AI Landing page
    Landing page //
    2023-07-02

Search engine to find code & code context across all your repositories quickly. Search using keywords, exact code & more.

Quod AI

Website
quod.ai
$ Details
freemium
Platforms
Java Python Ruby JavaScript TypeScript

Reactive Search videos

Building Airbnb like app with Reactive Search

Quod AI videos

Find the code you need faster with Quod AI

Category Popularity

0-100% (relative to Reactive Search and Quod AI)
Design Tools
100 100%
0% 0
Developer Tools
45 45%
55% 55
Productivity
0 0%
100% 100
Web App
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Reactive Search and Quod AI

Reactive Search Reviews

We have no reviews of Reactive Search yet.
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Quod AI Reviews

  1. The future of code navigation!

    The extensive search engine capabilities of QuodAI speeds up the resolution of Bugs, the understanding we have of our own codebase, and the onboarding of new employees. We implemented the product on all the microservices our development team maintains. It also helps the different FrontEnd-BackEnd-Data-Consultants teams to explore easily and get a quick overview of other teams' codebase, even if they don't know the stack language! Roles and permissions are seamlessly integrated to give tailored access to resources to different stakeholders.

    Eventually, I made it all the way from a beta user to a customer & big fan. Our team loves the product and enjoy the magic to search a codebase independently of the code syntax! Good job QuodAI! We use it in our daily operations.

    🏁 Competitors: Sourcegraph
    👍 Pros:    Fast|Intuitive|Useful filters|Generic across teams|Does the job perfectly|Team approval and adoption
    👎 Cons:    That it, i have nothing...

Social recommendations and mentions

Based on our record, Reactive Search should be more popular than Quod AI. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Reactive Search mentions (3)

  • Is there a simple library to build Amazon / eBay style store UI (sending requests to server when applying filters, but render the filters layout / paging)
    It kinda depends what you have and what you want out of it, for https://demo.rapidez.io/women/tops-women we use Reactivesearch (Vue variant): https://opensource.appbase.io/reactivesearch/. Source: over 2 years ago
  • Top 5 React projects - December edition
    🤩 Reactive Search- UI components for building data-driven search experiences. - Source: dev.to / over 2 years ago
  • [QUESTION] Choosing stack for a project with emphasis on search
    As far as I know there's only one reasonable JS library that talks to ElasticSearch: https://opensource.appbase.io/reactivesearch/ (which is in React). Source: about 3 years ago

Quod AI mentions (1)

What are some alternatives?

When comparing Reactive Search and Quod AI, you can also consider the following products

UI Garage - Specific mobile and web design patterns for your inspiration

Sourcegraph - Sourcegraph is a free, self-hosted code search and intelligence server that helps developers find, review, understand, and debug code. Use it with any Git code host for teams from 1 to 10,000+.

UI Movement - The best UI design inspiration, daily

Atlassian Fisheye - With FishEye you can search code, visualize and report on activity and find for commits, files, revisions, or teammates across SVN, Git, Mercurial, CVS and Perforce.

UI Temple - Curated collection of the best web page designs

Maplytics - Maplytics is an integration tool between Bing Maps and Microsoft Dynamics CRM to provide geographical Dynamics 365 data visualization on a map. It allows to accurately Map Dynamics 365 CRM data of customers.