Delivery Analytics for Software Teams
Glad you asked! Haystack helps build elite developer teams by providing engineering metrics and alerts proven to drive performance, improve software reliability and prevent developer burnout.
Through integration with GitHub, Haystack is able to provide live data insights that illustrate the entire delivery process from commit to deploy, being able to highlight bottlenecks like code review and team productivity. Using this feedback loop, Haystack users have increased production deployments by 58% and achieved 70% faster cycle times on average 📈
In less than 12 months since launch, Haystack is being used by more than 7,000 developers at elite developer teams in GoDaddy, Microsoft, The Economist, Indiegogo and Truebill among others as revenues have increased by an average of 36% month on month 🔥
In June 2021, Haystack announced it had secured a US$1.2m funding round after graduating from Y Combinator’s W21 batch.
Here are some of our core values to give you a sense of who we are as a team
Not convinced yet? Okay, here’s the fun stuff:
BTW, for this role, you’ll be directly working with:
You will be one of the early engineers to be joining our team, helping define the company as it scales rapidly into the future.
Engineering is a team sport 🏀
If you see yourself being part of our team apply using this form
We are bringing the competitive advantage data-driven engineering teams like Google have - to everyone else.
Our analytics platform plugs directly into developer tools like Github to provide insights on delivery speeds, bottlenecks, and risks that impact team velocity & developer happiness.
We're trusted by some of the world’s most innovative teams: Microsoft, The Economist, and Indiegogo and backed by Y Combinator, Soma Capital, Funders Club, and strategic angels (Founder @Optimizely, SVP Sales @Amplitude) .
Haystack is a culture of tinkering, learning, testing and iterating. We ship quickly and help our customers do the same. We're led by founded by two technical founders who have experienced this problem first-hand after scaling their startups from 0 to 100m+ users.