We’re building AI teammates that take handle entire business functions, working alongside humans.
Each teammate runs a function end-to-end: support, sales, interviews — across voice, chat, email, and more.
50+ languages including 20+ Arabic dialects. Guardrails built-in.
Every Teammate natively integrates with 30+ tools and Zapier.
Now live on Product Hunt: Sara (Interviews).
Coming soon: Raya (Support), Rashed (Sales), and more.
Teammates.ai
👋 Hey Product Hunt! I’m Kareem, founder of Teammates.ai.
Last quarter my inbox exploded: 1,400 applicants for one role, one tiny recruiting team - zero chance to talk to everyone. Incredible talent slipped through simply because I ran out of hours.
So we built Sara, an AI interviewer who:
runs thousands of voice interviews an hour,
domain expert in every role - from React engineers to CFOs
speaks 50+ languages (from Ammani Arabic to Mandarin),
turns gut-feel into structured, bias-free, objective insights you can share with the team
She’s already screening candidates for startups and mid-market teams, cutting their time-to-hire from 40-60 days down to < 1 week and slashing costs by 85%. We've made two hires ourselves through Sara.
We built Sara because every candidate deserves a fair shot — and every recruiter deserves superhuman leverage.
✨ Talk to Sara: Link to Live Demo
💬 Your turn: How are you tackling hiring in 2025? What would make Sara an even better teammate? I’ll be in the comments all day - ask me anything!
@kareemayyad Hi Kareem, Congrats on Sara's launch. I was pleasantly surprised when I just used the demo on the website, and I believe it's a great problem-solving product with a depth of human touch. I love the demo video btw. It really speaks to the audience at interest here.
For B2B, it does the job it's designed for. I would have conducted 1000s of interviews in my professional setup, and I envy people who will have this tool handy to them.
My 2 cents from the demo:
While it surely solves for the recruitment hassle from B2B side, it can also be very handy for someone appearing for the interviews. Initial hesitation and practice questions all handled quite well.
Sara was quite empathetic which can improve the overall interview experience. Solve a good enough problem that's often ignored.
The quality of the questions was 8.5/10. Added depth, as long as the candidate is able to answer them incrementally within time, can make it more robust. This will ensure the bar is set right for upcoming candidates as well and we will have better shortlist quality.
Congrats again and best of luck!
Teammates.ai
@imraju Hey Raju - this was such a thoughtful comment. Really appreciate you trying the demo!
Glad you picked up on the human touch, that was one of the hardest things to get right. Sara's meant to make the interview feel more like a conversation than a test, especially for candidates who might be nervous early on.
Totally agree that it could double as a prep tool — we’ve had a few teams use it that way already and it’s something we want to lean into more on the candidate side.
And love your take on the question quality — that nuance around progressive depth is exactly what we’ve been refining.
Thanks again for the feedback — it’s incredibly helpful, and really appreciated 🙏
@kareemayyad Congrats on the launch, Kareem. This looks super useful, especially for busy teams.
So one quick question, how does Sara handle situations where a candidate goes off-topic or starts asking her questions back? Curious how you’ve built in that kind of flexibility.
minimalist phone: creating folders
Have you already reached out to any bigger companies to try it out? What was their impression?
Teammates.ai
@busmark_w_nika absolutely.
We’ve had early pilots with large enterprises - and the pain is equally intense at that scale!
They're hiring across multiple roles, functions, and countries - with candidates speaking different languages and needing very different evaluation criteria.
Recruiters aren’t expected to be subject-matter experts for every role, so there’s a ton of back-and-forth with hiring managers just to calibrate screening.
Sara eliminates that loop. She interviews every candidate instantly, in 50+ languages (including dialects), and gives back structured reports that help both sides align faster.
Enterprises love that it saves them time, cost and surfaces better candidates but what really lands is the consistency. Same scoring framework, same candidate experience, every time, sharable with the team and integrating with their systems of record.
minimalist phone: creating folders
@kareemayyad What about the assignment stage? I mean, after Sara handles the initial selection (reviewing CVs and assessing behaviour during the live interview), the selected candidates might be asked to complete an assignment.
Is Sara involved in evaluating this part as well, or is it reviewed by a human?
Teammates.ai
@busmark_w_nika Love this question.
You’re right - many teams still rely on take-home assignments as a second filter. But the landscape has changed.
Today, nearly every single candidate is using AI to write CVs, prep answers, even complete take-home tests. So why shouldn’t recruiters use AI too?
That’s part of why we built Sara. It’s time we gave startup founders and recruiters superpowers, and avoided another Soham story moment.
At Teammates.ai, we’ve actually stopped using take-home tests. They no longer reflect real skill or fit.
Candidates can find great templates or copy from ChatGPT - and it’s impossible to control for fairness at scale.
Instead, Sara evaluates candidates live across 100+ technical and behavioral signals - and with intelligent proctoring built in (e.g. tab changes, second-screen use, multiple voices, other apps). It’s structured, consistent, and adaptive - and we’ve found it to be both more predictive and more fair.
Teammates.ai
Hey there! I am Abhinav, ML lead at Teammates.ai.
Most AI interview tools use LLMs to generate scores — we don’t.
Language models are great at generating, but too random and opaque for high-stakes evaluation. Temperature, hallucinations, token bias — none of that belongs in candidate scoring.
Instead, Sara uses structured feature extraction + predictive modeling. We benchmark performance against historical top performers, and calibrate per role and team. Evaluation is explainable, reproducible, and auditable.
We’re not trying to simulate human judgment. We’re trying to replace gut feel with signal.
I personally use Sara for hiring needs within our team for DS/ML roles and it effectively screens candidates for such highly technical roles.
Always happy to address any inquiries on this.
Raycast
@abhinav_shn can you unpack this for an eighth grader?
@abhinav_shn Hi Abhinav, this is very interesting. Most of the time, hiring for critical roles involves a combination of several factors apart from tech competency, subject matter expertise, experience and thought process. There are other softer aspects to ensure a good fit within the team and culture. Is there any thought around it while building Sara, and the way evaluation happens?
Howdy
I most probably missed great candidates just because there wasn’t enough time. How does Sara handle people who don’t fit perfectly into one role but could be a great culture fit or have transferable skills?
Teammates.ai
Hello Kareem, Congrats on Sara's launch, Great innovation, would like to ask will Sara handle all recruitment processes, and at what point would there be human interference?
Teammates.ai
Raycast
Really enjoyed working with and supporting @kareemayyad and @hussam_ayyad on this launch.
We really got into the details of what sets Sara apart as an AI interviewer, and grappled with the big question looming for our age (especially in light of the Soham controversy!): how should hiring happen now when the only way to tell if someone is both REAL and GOOD seems to be in the trenches with them…
But then that raises a question about how to evaluate candidates at scale — in a way that’s also fair/reasonable.
And so the team focused heavily on improving the experience of the candidate — so that they could put their best foot forward fairly.
AI interviews are clearly the future of hiring — and beyond just bringing in new teammates, the experience that candidates have will also serve as critical brand and relationship building moments that deserve care and intention.
If you've been interviewed by an AI — how was you experience? Did you like it better than being interviewed by a human?
Love how you are expanding the functions of the tool in different avatars. Congrats on the launch @kareemayyad @hussam_ayyad @emad_ayyad
Teammates.ai
@hussam_ayyad @emad_ayyad @lakshya_singh
We’re excited about this multi-teammate architecture, each one fully owning a role working alongside humans. Appreciate the support 🙌 and can’t wait to follow your launch too!