FameFlock
www.fameflock.comAt FameFlock - We are developing an awesome product with a sharp focus towards significantly reducing hiring as well as employee benefit cost for early-stage startups (Upto 50%) We are not only focused on reducing cost but solving the problem of hiring the How are we Different - We are developing a crowdsourced candidate profile score (Think of it as CIBIL score for Hiring). Who go through the process of calibration by startup veterans and successful leaders (People at Flipkart, Swiggy etc. & established VC firm Veterans) for better profile & skill set matching.best candidate with suitable skill set. No more CV shortlisting - We get the profile vetting done by the startup veterans and successful leaders (People at Flipkart, Swiggy etc. & established VC firm Veterans) High Closure rate & Best Fit- We match candidates based on the Profile Rating which is a crowdsourced parameter that removes hiring bias Lesser offer drops - Each candidate gets a score (think of it as CIBIL Score for hiring). Offer drop by the candidate leads to a major drop in score Career Match Calibrated Candidates - Matching the startup & Candidate expectation and calibrating critical points basis their fit for your startup
Read moreAt FameFlock - We are developing an awesome product with a sharp focus towards significantly reducing hiring as well as employee benefit cost for early-stage startups (Upto 50%) We are not only focused on reducing cost but solving the problem of hiring the How are we Different - We are developing a crowdsourced candidate profile score (Think of it as CIBIL score for Hiring). Who go through the process of calibration by startup veterans and successful leaders (People at Flipkart, Swiggy etc. & established VC firm Veterans) for better profile & skill set matching.best candidate with suitable skill set. No more CV shortlisting - We get the profile vetting done by the startup veterans and successful leaders (People at Flipkart, Swiggy etc. & established VC firm Veterans) High Closure rate & Best Fit- We match candidates based on the Profile Rating which is a crowdsourced parameter that removes hiring bias Lesser offer drops - Each candidate gets a score (think of it as CIBIL Score for hiring). Offer drop by the candidate leads to a major drop in score Career Match Calibrated Candidates - Matching the startup & Candidate expectation and calibrating critical points basis their fit for your startup
Read moreCountry
City (Headquarters)
Gurgaon
Industry
Employees
11-50
Founded
2018
Social
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- Technology LeadEmail ****** @****.comPhone (***) ****-****
- Chief Social WorkerEmail ****** @****.comPhone (***) ****-****
Technologies
(52)
