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Intelligent analytics can help engineering teams stop problems before they happen, like slow release cycles, bottlenecks, and uneven workload distribution that can lead to employee burnout. The San Francisco and Hyderabad-based startup announced today that it has raised $1 million led by the Together Fund.
In the year Founded in 2022, Insightly’s target users are chief technology officers and vice presidents of engineering who want to analyze their DevOps research and assessment to make decisions and identify root causes of issues that could lead to revenue, low productivity or employee attrition.
Insightly founder and CEO Suder Bandaru told TechCrunch that Insightly is currently on six-figure revenue and has a number of unicorns and public companies in its customer pipeline, which could take it to $1 million in annual recurring revenue in the next few months. The user base includes a total of 12,000 engineers, including teams in the US, India, Kenya and Israel. The platform can be customized to the size of the company, and its customers range from 50-member engineering teams to multi-billion dollar organizations with more than 800 engineers.
Before founding Insightly, Bandaru worked at organizations such as AT&T, Merrill Lynch and Hewlett-Packard. He then moved to Director of Engineering at Markets, a data resource website publisher acquired by Bankrate. It was in that job, and during the co-founder’s recruitment of shortlists for the next career platform, that Bandaru said he learned the pain points of managing diverse engineering teams across countries and continents. These challenges have been exacerbated by remote work during the pandemic.
“There was no way for companies to see exactly how efficient their engineers were,” he said.
As a result, Bandaru began hacking together a solution for data-driven insights to use in shortlisting professionals. Then, when he began to gain interest from leaders in large technology organizations, he realized that his hacking had the potential to be more than a side project. Bandaru cites a report from Stripe that 96 percent of technology leaders say improving engineering productivity is their top priority, but $300 billion is wasted annually on software development inefficiencies worldwide.
Many engineering leaders try to assess productivity with Git and Jira analytics, but those processes are manual and time-consuming. Insightly is designed to automate the data collection process to accelerate software development, find bottlenecks, and gain visibility into workload distribution. Integrating Insightly takes about five minutes, requires no coding, and instantly includes three months of historical data.
Insightly works by pulling data and metrics from Git and Jita. Bandaru said the insight helps teams identify bottlenecks, release products faster, and distribute workload more evenly to avoid engineer churn. It also maps business results to technology efforts, helps teams decide if they should rework on a version or do new work, captures bugs, and shows metrics like maintenance percentage to help teams address the most pressing issue first, helping reduce tech debt.
Insightly’s Cockpit
Some use cases A multi-billion dollar organization with about 1,000 engineers found that most of their engineering teams spent three to four days out of five days due to team structure and release dependencies on Insightly Metrics’ release cycle and workflow. Kenya-based Sandy, a logistics company with less than 100 engineers, found that employee attrition was caused by uneven workloads, which company leaders were unaware of because people were working remotely. Meanwhile, a customer realized that it was time to maintain old applications by building new features as engineers released them during a major layoff. New engineers had no choice but to maintain the old code. The visibility of this problem allowed the company’s CTO to ditch low-grossing products and build new ones instead.
It allows for intuitive level-based customization of groups, including geographic locations, technology stacks, and business units. For example, Bandaru said one of his clients found that a team with many reviewers based in Latin America and the rest of the team in the US all had slower release cycles compared to teams based in the same time zone.
Two of Insightly’s competitors are Jellyfish and Linearb.io. Bandaru says Insightly differentiates itself by not only showing analytics, but why they happen and providing context for each metric and data point.
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