👋 Hey everybody, Robin from @hiresweet_ here!
🛫As early-stage startup members ourselves, we had few inbound candidates when we wanted to hire. We relied on referral & network until we hit 20 people in the team. Suddenly, the pipeline dried and we had to find a way to engage with new candidates, especially for engineering. That’s when we started to reach out to people and the interviews started flowing again.
✉️We started reaching out to 25 candidates per day in a very personalized way. The thing is, it works awesomely. If you want to get the best candidates, you’ll have to reach out to them. Obviously, the best players are busy prospering at their current gig, or moving up their current organization. They won't be coming to you with their resumé (and you shouldn't be waiting).
🤖Yet, it takes so much time spent on low added-value tasks: finding profiles, correlating the data, finding the emails, drafting the emails, following up...
💻So we’ve spent 3 years and hired a team of 30 (including 15 engineers) to build a tool help startups do exactly that, at scale. We used it to help 700+ startups hire top talent to join their teams in Europe and the US. We're super proud to release that tool to the PH community and tell you more about how we improved our search to pick up patterns and signals than 100% of humans would miss!
Ask any question you might have on the product, the AI behind the search, the future of (tech) hiring - the floor is yours!
Using Hiresweet since the early days @Slite and I can only recommend. We hired amazing folks through their platform and have an awesome relationship with their team.
Well done Robin 🙌✨👏
@christophepas Thank you Christophe! You rock too, always nice to hang out with the team we helped build :)
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I highly recommend this tool, it's one of the best to increase your chance of hiring the best person and it has a wonderful team to talk to.
Here's one of our success : after several months of process, we hired one of the most important position @calldesk with Hiresweet : our Head of Engineering ! I couldn't find him without it.
Thanks again :)
@calldesk@marjorie_gisserot Thank you Marjorie! I'm glad that we helped you scale @calldesk! The team & product is great so no doubt the response rate is high :)
Thanks @davidbaruchel! It's always a pleasure to work alongside companies that help launch great startups like yours!
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@robin_choy it's a common problem that a lot of companies have tried to tackle, what do yout think are the key elements that made your approach successful ?
@davidbaruchel you're right! It is an supply vs. demand market and today the demand for tech profiles is way higher and the actual supply of active candidates.
So companies can't wait for people to apply - we built a tech to help them go out and find those people. We invested heavily in the search engine over the past 3 years, so that our response rate is 4X-5X the market average (a company can expect a 46% response rate on HireSweet). I could tell you more about it, it's mainly versioning on profiles (to detect significant updates), companies mapping, skills analysis etc.
👋 Hey everybody, Robin from @hiresweet_ here!
🛫As early-stage startup members ourselves, we had few inbound candidates when we wanted to hire. We relied on referral & network until we hit 20 people in the team. Suddenly, the pipeline dried and we had to find a way to engage with new candidates, especially for engineering. That’s when we started to reach out to people and the interviews started flowing again.
✉️We started reaching out to 25 candidates per day in a very personalized way. The thing is, it works awesomely. If you want to get the best candidates, you’ll have to reach out to them. Obviously, the best players are busy prospering at their current gig, or moving up their current organization. They won't be coming to you with their resumé (and you shouldn't be waiting).
🤖Yet, it takes so much time spent on low added-value tasks: finding profiles, correlating the data, finding the emails, drafting the emails, following up...
💻So we’ve spent 3 years and hired a team of 30 (including 15 engineers) to build a tool help startups do exactly that, at scale. We used it to help 700+ startups hire top talent to join their teams in Europe and the US. We're super proud to release that tool to the PH community and tell you more about how we improved our search to pick up patterns and signals than 100% of humans would miss!
Ask any question you might have on the product, the AI behind the search, the future of (tech) hiring - the floor is yours!
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