AI Phone Screener by Hyring

Screen 1000 candidates before lunch

Hiring

Artificial Intelligence

Tech

Congratulations 🎉 to the team for building a product that directly address one of the most repetitive and time draining tasks in recruitment industry which is first round phone screening!

What really stands out in the product is how you have brought together the automation, personalisation & structure into a single that doesn't feel like robotic.

From a recruiter's point of view, the value proposition is massive

1. Time saved by no need to ask same intro questions.

2. Fairer evaluation by strict rules so no eligible candidate is missed out.

3. Flexibility for candidate.

4. Scalability - ability to handle 1000+ applicants with no compromise in quality.

The part I love is how you fit all these into the agentic Hiring workflow - resume screening, phone screening & video assessment. It's not just a tool, it's a smart, efficient hiring system.

I'm also curious about

1. How you're tackling bias in scoring? Particularly with different accents & voices.

2. Can recruiters tweak questions based on their needs? How does this affect scoring if questions changed midway?

Once again congrats on the launch! Looking forward to seeing where you take it next! 💪🏻

@surya_nagarajan1 Great product seems like your are using the next Js Stack

The phone screener helps by quickly confirming basic details, questions and candidate availability, making the hiring process smoother and faster

Hiring at scale doesn’t have to mean compromise and this AI-first approach nails that promise. By building agents like video interviewers and phone screeners, they’re making talent acquisition not just 100x faster, but smarter and more inclusive.

@surya_nagarajan1 Curious to know how long it took to build this?

@adithyan_rk Great design, the voice AI is very natural in AI Phone Screener.

@adithyan_rk Have been using Hyring AI Video Interviewer for the past 6 months. It has been a real use case for saving money and time on recruiters.

Came to know through Reddit. Identification of fake candidates is the real pain that you are solving.

The fact that it identifies candidates who are using "cluely" tool is amazing

Ngl, having AI do first-round interviews is genius—screening tons of candidates without bias is such a gamechanger. Realy love this idea, team!

The intergration with AI Video Interview to automate first two rounds is brilliant. Congrats on pushing recruitment tech forward!

My recent encounter with an AI-driven interview system for a role with an annual salary below $50,000 highlighted some significant limitations in current AI interviewing technology. The process mandated specific technical configurations: all external monitors, save for one, had to be disabled, and the use of virtual cameras was prohibited.

As a technology professional, my typical workstation configuration includes five monitors and two cameras, a setup integral to my daily workflow. The requirement to significantly alter this environment for a single interview, particularly for a low-paying position, presented a considerable logistical barrier. While I was genuinely interested in exploring the capabilities and effectiveness of the AI system, the necessary modifications to my established professional habitat ultimately outweighed my desire to complete the interview.

This experience underscores several drawbacks inherent in the current implementation of AI interviewing platforms:

- Rigid Technical Requirements: Such platforms often demand specific technical setups that may not align with a candidate's existing professional environment, creating unnecessary friction and deterrents.

- Lack of Adaptability: They frequently fail to adapt to diverse professional configurations, placing an undue burden on candidates to conform rather than the system accommodating standard work setups.

- Impediments for Skilled Professionals: For roles that might attract candidates with advanced technical setups, these rigid requirements can inadvertently filter out qualified individuals unwilling to compromise their optimized workspaces.

- Limited Evaluation of Candidate Readiness: An overly strict technical pre-requisite, unrelated to the job's core functions, can obscure a candidate's actual interest or technical aptitude for the role.

- Perceived Disrespect for Candidate Time/Effort: Requiring substantial setup changes for an entry-level or lower-paying position can signal a lack of appreciation for the candidate's time and professional resources.

In conclusion, while AI interviews hold promise for efficiency, their current state of implementation can suffer from a lack of technical flexibility. For broader adoption and a more positive candidate experience, especially across various professional backgrounds, these systems need to evolve to be more accommodating and less intrusive regarding a candidate's established digital workspace.

Hey PH Community!

I'm excited to launch Hyring’s AI Phone Screener, built to automate one of the most time-consuming steps in hiring: screening calls.

It conducts structured phone interviews, evaluates responses in real time, and delivers decision-ready reports, all without a recruiter on the call.

You can now screen candidates across regions, roles, and languages with speed, consistency, and zero bias.

Say goodbye to manual calls and hello to faster, smarter hiring!

Congrats @adithyan_rk @narayanan_raman @surya_nagarajan1 @thiru_l Do candidates get feedback or summaries after the call, or is the reporting only for recruiters? It might be a nice touch to help improve the candidate experience

Conceptually, looks interesting. Do you think people will be less honest on the interview with AI just to have it passed?