KnowledgeHound Description

KnowledgeHound simplifies the process of organizing and analyzing your research data by consolidating everything into a single platform. You can effortlessly import information from your preferred tools through our integrations or upload data from any external research provider. This eliminates data silos, allowing everyone to access valuable insights and answers derived from your comprehensive customer insights. With the aid of natural language search, KnowledgeHound enables you to easily locate relevant survey questions from your existing research, facilitating informed decision-making based on essential information. Whether you want to unveil a compelling narrative, discover impactful charts, or identify recurring themes from consumer feedback, the search capabilities enhance your research experience. KnowledgeHound’s data visualization features empower anyone to present themselves as a proficient researcher, allowing you to craft polished charts and tables, perform cross-tabulations, extract themes and sentiments from open-ended responses, and promptly showcase trends and averages in an aesthetically pleasing format suitable for presentations. With such versatile tools at your disposal, you can drive impactful insights and engage your audience more effectively than ever before.

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Hound serves as a remarkably swift engine for searching source code. Its foundation is derived from an article and accompanying code by Russ Cox, which discusses regular expression matching utilizing a trigram index. The application itself features a static React frontend that communicates with a Go backend. This backend is responsible for maintaining an up-to-date index for every repository and processes searches via a streamlined API. Although Hound has primarily been tested on MacOS and CentOS, it is designed to operate on any Unix-like system. While Hound does not officially support Windows, reports indicate that it compiles and functions adequately; however, it is advisable to exclude your data folder from the Windows Search Indexer for optimal performance. Users have expressed enthusiasm for its capabilities, and developers are continually working on enhancing its compatibility across various platforms.
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Integrations

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Company Details

Company:
KnowledgeHound
Year Founded:
2013
Headquarters:
United States
Website:
www.knowledgehound.com

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

KnowledgeHound Features and Options

Data Visualization Software

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

KnowledgeHound User Reviews

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