Our AI powered Team Analytics feature delves into your team's strengths and weaknesses, identify skill gaps and identify the best pre-vetted talent to hire next and build a high-performing development teams.
Hello all Product Hunters,
I'm Maulik Sailor, the CEO/CPO at CodeMonk.ai enabling employers and employees to disrupt the way we work.
How it started:
With over a decade of hiring experience, I felt that the traditional recruitment process is slow and outdated for modern product led tech companies with ever changing product roadmap.
All the leading job boards, including LinkedIn, provides poorly matched candidates but without any insights about your existing team, leading to a lot of time wastage of filtering and interviewing poorly matched candidates. Often, it can take up to 6 months to hire a single tech role.
And that is where the idea for CodeMonk.ai was born. A talent marketplace enabling employers to build best engineering teams.
As an employer using our Team Analytics feature, you can:
1. Onboard your internal tech team
2. Analyse their collective skills, behaviour, ways of working, motivation and much more to uncover gaps.
3. Utilise our smart AI recommendation to identify pre-vetted tech talents that not only match your job requirements but also complement your existing team.
If you an employer then why not get started for free by creating your employer profile, onboard your existing team and find performance gaps.
We are a small team and your feedback is very valuable to us.
Thank you for your support!
PS. If you are a talent then simply sign-up here: https://www.codemonk.ai/talent
Looks awesome! How does your shrewd recommender choose what holes to cover in case there are different? Or how does it prioritize ability crevices ?
Looks awesome! How does your shrewd recommender choose what holes to cover in case there are different? Or how does it prioritize ability crevices ?
Looks incredible! How does your shrewd recommender choose what holes to cover in the event that there are numerous? Or how does it prioritize ability holes ?
Looks extraordinary! How does your shrewd recommender choose what holes to cover in case there are numerous? Or how does it prioritize ability crevices ?
The travel from recognizing the moderate pace of conventional contracting to creating Group Analytics at is genuinely noteworthy. It's awesome to see a stage that not as it were matches bosses with qualified candidates but moreover coordinating group elements into the enlisting handle. This appears like a game-changer for building cohesive tech groups. Best of good fortune with the dispatch!
CodeMonk provides remote work to talent hence employers can search for good experienced talent in the IT industry. Talent can showcase their skill and be vetted by taking the test and making more attractive profiles to get the job
Congratulations for launching... Great products... I'm particularly intrigued by the Team Analytics feature
Wow congrats for sharing this great product I think it's going to be useful and helpful for students and other's well done
About Team Analytics by CodeMonk.ai on Product Hunt
“Uncover gaps in your tech team and hire the best fit with AI”
Team Analytics by CodeMonk.ai launched on Product Hunt on January 15th, 2024 and earned 284 upvotes and 264 comments, earning #2 Product of the Day. Our AI powered Team Analytics feature delves into your team's strengths and weaknesses, identify skill gaps and identify the best pre-vetted talent to hire next and build a high-performing development teams.
Team Analytics by CodeMonk.ai was featured in Hiring (15.3k followers), Freelance (31.1k followers), Artificial Intelligence (466.2k followers), Remote Work (4k followers), Data & Analytics (5.5k followers) and Human Resources (1.9k followers) on Product Hunt. Together, these topics include over 105.4k products, making this a competitive space to launch in.
Who hunted Team Analytics by CodeMonk.ai?
Team Analytics by CodeMonk.ai was hunted by Maulik Sailor. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Team Analytics by CodeMonk.ai has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how Team Analytics by CodeMonk.ai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Maulik Sailor