Skip to main content

Sequoia India’s Surge backs engineering analytics startup Hatica in $3.7M funding

Uber alums’ engineering analytics startup Hatica has raised $3.7 million in a funding round led by Sequoia India and Southeast Asia’s Surge, they said Thursday.

The San Francisco-headquartered startup aims to boost the productivity and well-being of developers by helping them better understand how they are spending their time with detailed engineering analytics.

“There was no objective way to understand what would be a problem,” said Hatica co-founder and CEO Naomi Copra in an interview.

Chopra and his former Uber colleague Haritabh Singh (CTO) founded Hatica in 2020. They found that developers were contending with scores of distractions such as long-meetings and other interaction requests, a phenomenon that has become even more prevalent in the remote and hybrid work settings.

Hatica integrates with Git repository hosting services such as GitHub, Gitlab and Bitbucket; communication tools including Slack, Google Meet and Zoom; project management solutions such as Asana, JIRA and Trello; incident management offerings including OpsGenie, PagerDuty and VictorOps and CI/CD platforms such as Circle CI, Jetkins and Phabricator.

Once it gets the data, Hatica delivers performance metrics that are aimed at helping developers understand their cycle time, and help them with better allocation to improve the quality of their code and curb burnout. The insights can also help speed-up product deliveries and increase customer value streams.

Hatica has already onboarded many high-profile clients, including Amenify, Twitter, PayPal, Rakuten and Okta. The startup today serves over 20,000 developers and engineering leaders and is looking to eventually reach 30 million developers globally. Expanding its developer reach will help the startup boost revenues as it charges companies based on the number of developers that are utilizing its solution.

The startup touts to provide a 50% faster cycle time, a 2.1x improvement in planning and delivery accuracy and 40% surge in maker time — resulting in enhanced delivery velocity and well-being.

Hatica, which presently has a team of 22 people, plans to utilize the $3.7 million seed funding to expand its team and add new sales executives.

“We’ve captured a very small section of the market right now. So, there is an opportunity to grow horizontally and vertically, which is to add more features so that we can upsell our customers to higher plans,” Chopra said.

The seed round also saw the participation of existing investor Kae Capital and engineering leaders from Google, Uber, Twitter, Okta and Notion as angel investors.

“We have very good investor confidence, and they’re confident that we’ll be able to raise our next term soon. So, that’s why we did a round on future valuation,” he said.

Before the latest round, the startup raised $900,000 from Kae Capital in a pre-seed round.

Sequoia India’s Surge backs engineering analytics startup Hatica in $3.7M funding by Jagmeet Singh originally published on TechCrunch



source https://techcrunch.com/2023/02/08/hatica-funding-sequoia-india-surge/

Comments

Post a Comment

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...
1 comment
Read more

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...
Post a Comment
Read more

Max Q: Anomalous

Hello and welcome back to Max Q! Last week wasn’t the most successful for spaceflight missions. We’ll get into that a bit more below. In this issue: First up, a botched launch from Virgin Orbit… …followed by one from ABL Space Systems News from Rocket Lab, World View and more Virgin Orbit’s botched launch highlights shaky financial future After Virgin Orbit’s launch failure last Monday, during which the mission experienced an  “anomaly” that prevented the rocket from reaching orbit, I went back over the company’s financials — and things aren’t looking good. For Virgin Orbit, this year has likely been completely turned on its head. The company was aiming for three launches this year, but everything will remain grounded until the cause of the anomaly has been identified and resolved. It’s unclear how long that will take, but likely at least three months. Add this delay to Virgin’s dwindling cash reserves and you have a foundation that’s suddenly much shakier than before. ...
Post a Comment
Read more