cord
From raising seed investment, to making 2 direct hires within 4 weeks
"cord allowed us to connect directly with active technical candidates. I cannot stress enough how valuable this is. It makes hiring Engineers quick, effortless and super simple."
2 hires
within 4 weeks of signing-up51%
positive response rate from Engineerscord usage
About Qflow
Qflow’s vision is to transform the way we build our cities, by using real-time data from construction sites to eliminate environmental and social impact.
Founded in 2018 by Brittany Harris and Jade Cohen, they have built an environmental management platform that tracks, monitors, and predicts environmental risks in construction projects.
QFlow are funded by Pi Labs, the proptech VC specialist, alongside Entrepreneur First, MMC Ventures and Rising Tide Europe. They are a rapidly growing team of eight people in London (soon to be eleven!).Our Goal
Having just closed our seed round, we wanted to hire exceptional Engineers quickly.
Closing seed funding
We were a team of three people... two co-founders and our CTO. We had just closed our seed round and were looking to build out the bulk of our Engineering team. This included a Front End Developer, Full Stack Developer, Machine Learning Engineer and Product Owner.
Other methods we tried
We had tried other sources including some job boards and LinkedIn. We didn’t get any traffic from the job boards and found LinkedIn to be a huge time investment for limited results. We never looked at agencies as the pricing model was not viable for an early stage company like ours.
Volume of active technical candidates
We chose to use cord because of the volume of active technical candidates. Dealing directly with candidates that were actively looking for new positions cut down our time spent recruiting by 80%.
Hiring our positions
51% of the people we messaged on cord come back to us positively. In total, we sourced 40 people for our positions.
We hired our first Full Stack Developer within our first four weeks of using cord. We hired our Machine Learning Engineer within three weeks of starting the search.