AI Phone Screener by Hyring - Screen 1000 candidates before lunch

Hi PH Community!

We built the AI Phone Screener to solve one of the most time-consuming challenges in recruitment, first-round phone interviews.

Recruiters often spend hours each week repeating the same screening calls. With our tool, you can automate that entire process using a smart, human-sounding AI that calls candidates, asks contextual questions, and delivers full reports with scores, transcripts, and call recordings.

Imagine this agentic hiring workflow in action:

1000+ candidates apply → AI Resume Screener filters → AI Phone Screener asks 3–4 objective questions → AI Video Interviewer assesses tech & soft skills → Top 10 candidates delivered within hours.

What makes it exciting:

• Tap passive and active pipeline of candidates

• Calls are personalized & brand-consistent (you choose the AI voice)

• Set it up in under 5 minutes

• Candidates schedule the call at their convenience

• You get structured insights, instantly

This is already helping hiring teams screen 10x faster and reduce early-stage drop-offs.

We'd love your feedback, questions, and ideas for making this even more powerful. Thanks for checking us out.

Hey Product Hunt! 👋

I'm one of the developers behind the AI Phone Screener, and we built it to eliminate one of the most repetitive and inefficient parts of hiring: the first-round phone screen.

We've all seen how recruiters spend hours asking the same basic questions, over and over. With our AI Phone Screener, those early calls are now fully automated — and actually enjoyable for candidates.

Why this matters:

🛠 Set up in under 5 minutes – no learning curve

☎️ AI calls candidates automatically at a time they choose

🎙 Voices sound human and on-brand (you pick the voice)

📝 You get rich reports with transcripts, audio, and scores — instantly

⚡️ Screen 10x faster while reducing early-stage drop-offs

If you're building hiring workflows, working with volume recruiting, or just curious about voice AI in action — we’d love your thoughts, feedback, or edge cases to test!

Thanks for checking us out 🙌

Hi PH Community,

We built the AI Phone Screener to solve one of the most time-consuming problems in hiring: first-round phone interviews.

Recruiters spend hours repeating the same calls with different candidates. With our tool, you can fully automate that step using a smart, human-like AI that calls candidates, asks relevant questions based on your JD, and delivers structured reports with scores, transcripts, and recordings.

What makes it exciting:

• Set it up in under 5 minutes

• Candidates choose a time that works for them

• Conversations feel natural and brand-aligned (you choose the AI voice)

• Instant insights without manual effort

• Helps reduce early-stage drop-offs and speed up screening by 10x
  

we’re excited to finally launch it. Would love your feedback, questions, or ideas to push it further.

Thanks for checking it out.

The “human-sounding AI” part really caught my attention. Excited to see it in action!

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

Congrats, looks great.
what's your ideal customer?

I totally get how tedious those first-round interviews can be. The idea of automating that with a human-sounding AI is amazing! Congrats!

Hi folks!

I’m the designer behind this AI Phone Screener — and honestly, designing it was a fun (and slightly crazy) ride 😅.

Turning something as stressful and awkward as a phone screen into a smooth, natural, and actually enjoyable experience was no small task.

Every tiny detail — from how job posts are created to how reports show up — was obsessed over (sorry to the devs for all the endless ‘just one more tweak’ moments 😂)

Proud of how it turned out — clean, simple, and way less chaotic than my Figma file

Would love to hear what you think — especially from a design perspective!

Ngl, AI doing the first round of interviews is genius—saves soooo much time and cuts out bias. Been waiting for something like this, realy cool stuff!

Congratulations on the launch 🚀 @adithyan_rk

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

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!

Love to see the constant shipping momentum from you all, keep it up!

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.

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.

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