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Find candidates already hidden in your ATS
Most recruiters waste weeks searching for candidates who already applied to them โ months ago, for a different role. Keelzo fixes that.
The moment you post a job, our AI searches your existing pipeline first โ past applicants, rejected candidates, talent pool members, and career page visitors. It surfaces the best matches in 22 seconds, with clear scoring and reasons why each candidate fits.
What Keelzo does
AI Candidate Rediscovery โ Automatic matching from your existing database the moment a job is posted. Past applicants who fit the new role appear instantly, with match scores and context.
AI Resume Scoring โ Every resume scored across 6 dimensions: Skills Match, Experience, Seniority Fit, Industry Match, Education, and Career Stability. Explainable scores you can defend to your hiring manager.
AI Assistants for Recruiters and Candidates โ Context-aware assistants that understand the role, the candidate, and your company. Recruiters get help asking better interview questions. Candidates get instant answers about the role.
Auditable Hiring Pipeline โ Every action tracked on a timeline. Every candidate notified automatically. No more ghosting, no more "where were we with this person?"
Who uses Keelzo
Why Keelzo vs traditional ATS
Traditional ATS search is keyword-based and treats past candidates as dead data. Keelzo uses semantic AI matching, recency weighting, and feedback-aware scoring to turn your existing candidate database into an active hiring asset.
Free 14-day pilot. No credit card required.
HackerRank KeelzoHackerRank is recommended for students, individual learners, and job seekers looking to improve their coding skills, as well as for companies seeking an efficient way to evaluate candidates' technical abilities during the hiring process.
Keelzo's answer:
Keelzo searches your existing candidate pipeline first โ past applicants, rejected candidates, talent pool members, and career page visitors โ before sending you to job boards. Most ATS tools treat past candidates as dead data. Keelzo turns them back into live matches the moment a new role is posted, with explainable AI scoring across 6 dimensions. The result: 22-second rediscovery instead of 30-minute manual searches, and defensible shortlists you can hand to a hiring manager without flinching.
Keelzo's answer:
Traditional ATS platforms like Zoho Recruit, Greenhouse, and Lever are built around storing candidates. Keelzo is built around resurfacing them. Three differences matter:
Rediscovery happens automatically. The moment you post a job, Keelzo matches it against every past applicant, rejected candidate, and talent pool member in your pipeline โ no manual search needed.
Scoring is explainable, not a black box. Every match comes with a 6-dimension breakdown (skills, experience, seniority, industry, education, stability) so you can defend your shortlist to hiring managers.
Built-in AI assistants for both recruiters and candidates. Recruiters get help asking better interview questions. Candidates get instant answers about your role and company, freeing your team from repetitive Q&A.
Plus a 14-day free pilot with no credit card.
Keelzo's answer:
Keelzo is built for three types of recruiters:
Keelzo is especially useful for teams that hire frequently, have 500+ candidates accumulated in their pipeline, and are tired of paying for LinkedIn Recruiter when better candidates already applied.
Keelzo's answer:
Keelzo started after a conversation with a recruiter friend in Bangalore. She had spent 6 weeks trying to fill a senior backend role using LinkedIn Recruiter, Naukri, and cold outreach. Nothing was working.
I asked her one question: "How many candidates are in your ATS right now?"
She checked. 847.
Thirty minutes of manual filtering across past applicants, "good but not now" candidates, and career page visitors revealed 11 strong matches she had never looked at. She emailed five of them that night. One is interviewing this week.
Her words: "I've been paying for LinkedIn Recruiter for 2 years and the best candidate was already in my own database."
That conversation made it clear: recruiting isn't broken because there aren't enough candidates. It's broken because the best ones are already in your system, invisible. Keelzo exists to make them visible.
Built from Kochi, India.
Keelzo's answer:
Keelzo is built on a modern web stack with AI/ML at its core
Keelzo is web-based, accessible from any modern browser, and built with security and data privacy as foundational principles.
Keelzo's answer:
Based on our record, HackerRank seems to be more popular. It has been mentiond 67 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This way, you transfer what you already know (problem-solving) but only change the syntax. Platforms like Hackerrank are also great to solve the same problem in different languages and learn from other peopleโs solutions. - Source: dev.to / 12 months ago
Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / over 2 years ago
I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 2 years ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 2 years ago
I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: almost 3 years ago
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