Hiring has long been one of the most time-consuming and inconsistent processes for fast- growing startups. Sorting through hundreds of resumes, coordinating interviews, and evaluating skills can stretch over weeks, costing time, money, and sometimes, the right candidate.
That’s exactly the challenge Manoj, Founder & CEO of a growing AI-first company, faced, until he used Babblebots AI Recruiter.
In a candid conversation with Roli Gupta, Founder & CEO, Babblebots, Manoj shared how the platform completely transformed his hiring process, reducing time-to-hire from weeks to hours, improving evaluation quality, and enhancing both candidate and recruiter experience.
From 300 Resumes to 1 Hire, in 24 Hours
This is a real case study of how Babblebots AI helped a founder reduce hiring from weeks to 24 hours with smarter screening and AI interviews.
Manoj Agarwal in conversation with Roli Gupta - Watch the conversation - Gika.ai x Babblebots.ai
Like most startup founders, Manoj was overwhelmed by the flood of applications.
“We received close to 300 resumes, and I was really, really overwhelmed with the kind response we got,” he recalled.
“Frankly, we were really feeling ,how are we going to handle this?”
Using Babblebots AI, the team automated screening and shortlisting in a matter of hours.
“The first step we did was we shortlisted the resumes with the help of Babblebots and brought it down to around 100,” said Manoj. “Then the AI agent took over and this worked so remarkably well. I mean it was amazing.”
Within hours, the AI interviewer had conducted initial interviews, understood candidate responses, and ranked them on performance.
“From around 100 people, we brought it down to 40, and then to 10 finalists. These ten we interviewed personally.”
“This was so amazing I can’t imagine how we would have done it without Babblebots,” Manoj added.
“We could do it in less than 24 hours. If we had done it manually, it would’ve taken 10 people. With your platform, we managed it with just two or three.”
Reducing Time-to-Hire and Team Effort
Manoj’s experience highlights one of Babblebots’ most powerful outcomes, a drastic reduction in hiring effort and time. What typically takes 7-10 days of coordination, multiple interviewers, and hours of back-and- forth was completed in under a day.
“Just imagine, if we had to do the same thing in a big team, it would have taken us probably ten people,” he said.
“With Babblebots, we managed it with hardly two or three.”
This kind of operational efficiency directly translates into cost savings, not just in man-hours, but in faster onboarding of the right talent.
Enhancing Candidate Experience
What’s often overlooked in automation is the human experience. But in this case, the candidates loved the interaction.
“Candidates actually really enjoyed the conversation and were pleasantly surprised,” said Manoj.
“We are an AI-first startup, and it helped us brand ourselves as well, because the agent gave a very good experience.” He personally reviewed the interview transcripts and found them to be impressively natural.
“The flow, the rhythm was nowhere inferior to a human interviewer,” he noted.
“In fact, the agent would ask relevant follow-up questions. For example, if you’re asking about decision trees, it will ask deeper questions. It’s not like something fed to the model it actually digs deeper, like a human.”
This blend of empathy and intelligence is redefining what AI in recruitment can feel like efficient, yet personal.
Improving Hiring Effectiveness
Speed alone means little without accuracy. That’s where Babblebots’ intelligent evaluation framework came through.
“There was definitely a gradient,” Manoj explained.
“Those who didn’t go into depth were rated lower. Anyone below 20 didn’t do too well. Above 30 was good. A 40 was clearly better than a 30.”
In other words, the AI didn’t just automate screening, it quantified depth and
understanding, allowing recruiters to focus on the strongest candidates faster.
“The direction was right,” he added.
“Maybe the gradient could be increased a bit more, but overall it was spot on.”
Better Quality Shortlists, Better Hires
For Manoj, the real proof came from the quality of candidates that Babblebots surfaced.
“All I can say is these ten people were really awesome,” he said.
“The guy who was selected had an awesome academic record. If we’d gone through the process manually, we probably would’ve ended up with him too, but after talking to 15 people. Here, we got there instantly.”
The shortlist was so strong that the team almost made two offers.
“Even though we planned to roll out one offer, we wanted to roll out two, both were very good and very close.”
Rethinking Hiring Efficiency
Manoj’s story is a clear example of how AI can make hiring faster, smarter, and more
human.
- 300 resumes → 100 shortlisted → 40 → 10 finalists → 1 hire
- Completed in under 24 hours
- Effort reduced by 70-80%
- Candidates rated the experience positively
“This was so amazing. I can’t imagine how we would have done it without Babblebots,” Manoj said.
The Future of Hiring Is Here
In a world where companies are under pressure to hire faster and smarter, Babblebots is helpingteams do both while improving candidate experience, ensuring fairness, and cutting hiring
costs dramatically.
Smarter Hiring. Faster Hiring. Human Hiring, Powered by AI.