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What is KnowledgeHound?

KnowledgeHound revolutionizes the way you organize and analyze your research data by integrating everything into one user-friendly platform. You can easily import information from your favorite tools via our seamless integrations or upload data from any external research providers. This integration effectively removes data silos, granting everyone access to the valuable insights and answers that emerge from your comprehensive understanding of customer perspectives. Utilizing natural language search, KnowledgeHound allows you to quickly find pertinent survey questions from your past research, enabling well-informed decision-making based on crucial data. Whether you aim to reveal a captivating story, uncover significant charts, or pinpoint recurring themes within consumer feedback, our advanced search functions significantly enhance your research process. The data visualization tools offered by KnowledgeHound empower users to present themselves as skilled researchers, enabling the creation of polished charts and tables, conducting cross-tabulations, extracting themes and sentiments from open-ended responses, and displaying trends and averages in an attractive format ideal for presentations. With these powerful tools at your fingertips, you can generate impactful insights and foster greater engagement with your audience than ever before, ultimately leading to more informed business decisions.

What is Hound?

Hound is an exceptionally fast tool for searching through source code. It is built on the principles outlined in an article and the corresponding code created by Russ Cox, which focuses on using a trigram index for regular expression matching. The application comprises a static frontend developed in React that interacts with a Go backend, which is tasked with keeping the index updated for all repositories and executing searches through an efficient API. While Hound has mostly undergone testing on MacOS and CentOS, it is intended to work seamlessly on any Unix-like operating system. Although it does not officially support Windows, there are user reports suggesting that it compiles and operates well on that platform; for optimal performance, it is recommended to keep your data folder outside of the Windows Search Indexer. Users have shown great enthusiasm for its features, and the development team is actively working to improve its compatibility across more operating systems. This ongoing enhancement process is aimed at expanding Hound's usability and ensuring a smoother experience for a wider range of users.

Media

Media

Integrations Supported

Emacs
GfK Etilize
Ipsos Retail Performance
Sublime Text
SurveyMonkey
Vim
Visual Studio Code
Voxpopme

Integrations Supported

Emacs
GfK Etilize
Ipsos Retail Performance
Sublime Text
SurveyMonkey
Vim
Visual Studio Code
Voxpopme

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

KnowledgeHound

Date Founded

2013

Company Location

United States

Company Website

www.knowledgehound.com

Company Facts

Organization Name

Etsy

Company Website

github.com/hound-search/hound

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

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