Apps Like SiftScore for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.


BambooHR Hiring
Bamboo HR LLC
Hire candidates and manage interviews
Review candidate applications instantly. Access resumes, application responses, and interview notes. Communicate with candidates via in- messages. Collaborate with teams to share feedback and track interview progress.


LinkedIn Recruiter
LinkedIn Corporation
Find ideal candidates faster on mobile.
The app allows users to search and connect with LinkedIn members on the go. Users can review profiles, manage their pipeline, and respond to candidates from their phone.

Entervu
Entervu LLC
Connect with professionals and build your network
Create and manage professional profiles to showcase skills and experience. Connect with other professionals and recruiters. Share updates and insights. Customize networking preferences and track engagement.



AdvocateHub by Influitive
Influitive Corporation
Engage with brands from anywhere.
The app allows users to engage with brands by completing challenges and earning points. Users can connect with peers, gain behind-the-scenes access, and provide feedback to shape company direction.


Police Jobs
Police Jobs LLC.
Search , prepare for exams, track applications
Candidates can search for job listings in law enforcement roles such as officer and crime scene technician. They can create a professional profile, upload documents, and apply for positions.


CamCard AI Business Assistant
INTSIG Information Co., Ltd
AI business card and voice assistant
The app offers AI-powered business card recognition and voice transcription. It provides real-time transcription with AI summaries and supports file imports for fast processing.

Jobsoid Recruiter
Jobsoid Inc.
Manage recruitment data on the go
Manage recruitment tasks by accessing candidate data, notes, emails, and reviews anytime. Collaborate in real-time with team members. Track the entire hiring process from one platform.







How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.