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Kerplunk - AI Powered Video Interviewer

Optimize your hiring with our AI-powered video interviewer. Kerplunk delivers insightful interviews. Get an AI Interview Assistant for your recruitment.
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Kerplunk - AI Powered Video Interviewer
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Introduction

Kerplunk is an innovative AI-powered video interviewing platform designed to revolutionize the recruitment process. It enables businesses to efficiently vet and interview thousands of job applicants in under 3 minutes across 95 languages. By leveraging advanced AI technology, Kerplunk streamlines hiring, reduces time-to-hire, and minimizes manual tasks, making it an invaluable tool for modern recruitment strategies.

Feature

AI-Powered Video Interviewing

  • Conduct automated, AI-driven video interviews
  • Assess candidate skills and competency beyond traditional resumes
  • Support for 95 languages, enabling global recruitment at scale

Advanced Candidate Matching

  • AI-powered matching algorithm to find the best candidates
  • Customizable job application forms
  • Access to a comprehensive candidate resume database

Streamlined Hiring Process

  • Vet thousands of applicants quickly and efficiently
  • Reduce time-to-hire with automated screening
  • Hire asynchronously, giving time back to recruiters and candidates

Customizable Workflow

  • Define user or AI-generated interview questions
  • Real-time analytics and reporting
  • Integrate with existing recruitment tools and workflows

Tiered Pricing Options

PlanFeatures
StandardBasic AI matching, job board posting, basic analytics, resume database access
EnterpriseAdvanced AI matching, premium job board placements, comprehensive analytics, multi-user access, priority support

FAQ

How does AI improve the hiring process?

AI automates repetitive tasks, accelerates candidate screening, and enhances candidate matching accuracy, leading to a more efficient and effective recruitment process.

Is the platform easy to use for recruiters?

Yes, Kerplunk is designed with user-friendliness in mind, featuring an intuitive interface that makes it accessible for recruiters of all technical skill levels.

Can I integrate this platform with my existing recruitment tools?

Absolutely. Kerplunk is built to seamlessly integrate with your existing recruitment tools and workflows, enhancing rather than replacing your current systems.

What type of support is available to recruiters using this platform?

Kerplunk offers comprehensive support including email and phone assistance, as well as a help center with FAQs and tutorials to ensure users can maximize the platform's potential.

Is candidate data secure on the platform?

Yes, Kerplunk prioritizes data security. All candidate information is encrypted and protected using industry-standard security measures to ensure confidentiality and compliance.

How accurate is Kerplunk compared to traditional recruiting?

Kerplunk's AI-powered candidate matching is highly accurate, significantly reducing the risk of human bias and error often associated with traditional recruiting methods.

Does Kerplunk support multiple languages?

Yes, Kerplunk supports 95 languages, making it an ideal solution for global recruitment efforts and diverse candidate pools.

Latest Traffic Insights

  • Monthly Visits

    7.59 K

  • Bounce Rate

    30.08%

  • Pages Per Visit

    8.10

  • Time on Site(s)

    609.39

  • Global Rank

    1704014

  • Country Rank

    United States 434435

Recent Visits

Traffic Sources

  • Social Media:
    15.48%
  • Paid Referrals:
    1.40%
  • Email:
    0.09%
  • Referrals:
    7.21%
  • Search Engines:
    32.21%
  • Direct:
    43.48%
More Data

Related Websites

AIScraper

This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. 

Features:

* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.

Installation:

```bash
pip install aiscraper
```

Usage:

```python
from aiscraper import AIScraper

Create an instance of the AIScraper class
scraper = AIScraper()

Perform a search for "laptops"
results = scraper.search("laptops")

Print the product titles
for result in results:
    print(result["title"])
```

Documentation:

https://github.com/aiscraper/aiscraper
View Detail

AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

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