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What is humanpredictions?

Discover the most extensive database of tech professionals, enabling you to uncover hidden talent and initiate meaningful connections with the right approach. The majority of recruiting initiatives focus heavily on platforms like LinkedIn, where cold outreach to individuals at different companies often falls flat, as many recipients are not looking for new roles. This method of spamming potential candidates has proven ineffective, while advertisements tend to attract only entry-level talent. Despite a wealth of opportunities flooding into your inbox, tech professionals often harbor skepticism towards recruiters, highlighting the necessity for good recruiters to distinguish themselves from those who adopt a purely transactional approach. Building lasting relationships requires a commitment to time, informed insights, and authentic communication. Utilizing machine learning technology, we can anticipate when candidates may be receptive to new job offers and predict their likelihood of responding to outreach efforts, as well as identify the times they are most inclined to consider relocation for career advancement. By understanding these dynamics, recruiters can refine their strategies and foster genuine connections that lead to successful placements.

What is friend.tech?

Friend.tech is a pioneering decentralized social network built on Coinbase's Layer 2 blockchain, known as Base. This cutting-edge platform allows individuals to tokenize their identities by buying and selling "keys"—previously known as "shares"—to their followers, granting these followers a shareholder-like status. Consequently, these followers can interact directly with the user, enjoying a personalized experience across popular online platforms, including Twitter and Telegram. Currently in its beta phase, Friend.tech has generated considerable excitement within the cryptocurrency community. Advocates believe it has the potential to revolutionize social media interactions, while skeptics raise questions about its long-term viability and success. The platform's capacity to sustain user engagement and foster trust will ultimately play a pivotal role in shaping its future in the rapidly changing digital environment. As users seek more meaningful connections online, Friend.tech's innovative approach could either set a new standard or face significant obstacles ahead.

Media

Media

Integrations Supported

Base
Bullhorn
Bullhorn Connexys
Crelate
Ethereum
Gem
Google Chrome
Greenhouse
Interseller
Lever
SourceWhale

Integrations Supported

Base
Bullhorn
Bullhorn Connexys
Crelate
Ethereum
Gem
Google Chrome
Greenhouse
Interseller
Lever
SourceWhale

API Availability

Has API

API Availability

Has API

Pricing Information

$5000/year
Free Trial Offered?
Free Version

Pricing Information

Free
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

humanpredictions

Date Founded

2015

Company Location

United States

Company Website

humanpredictions.io

Company Facts

Organization Name

friend.tech

Date Founded

2023

Company Website

www.friend.tech/

Categories and Features

Diversity Recruiting

Analytics / Data
Blind Pre-Employment Screening
Candidate Evaluations
Diverse Candidate Sourcing
Eliminate Unconscious Bias
Employee Referral
Improve Interview / Review Process
Job Board
Unbiased Job Descriptions

Recruiting

Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal

Categories and Features

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