Hark Revolutionizes Browser Use with Handoff Agent
Hark, the startup that raised $700 million in Series A funding in May, has launched its agent Hark Handoff, which can use a browser efficiently to complete tasks. This innovative technology can navigate websites that have no official APIs, including Target, Walmart, OpenTable, and LinkedIn.
How Handoff Works
The company claims that Handoff can easily navigate websites by looking at website structure and visual data to understand if it needs to click buttons or type information. The premise is similar to tons of browser-based agents released before, where users can issue a command, and the agent will complete tasks for them, including ordering food, booking travel tickets, filing returns, shopping for essentials, reserving a table at a restaurant, or researching on their behalf.
A Glimpse into Handoff's Capabilities
In a video demo, the company's CEO, Brett Adcock, showed that the assistant can take a command to build a bouquet with flowers users specify, along with accommodating fuzzy terms like 'some of the florist's choice.' Although the video only shows part of the process, it gives an idea of Handoff's capabilities.
Competition and Pricing
There are many companies working on computer-use agents, including Google, OpenAI, and Anthropic, with VC-funded startups working on browser-based task automation, such as Browser Use, Polar, Strawberry, and Aside. Hark said that its Handoff agent is faster than the competition and also costs much less than other models like GPT 5.5 and Opus 4.8.
Future Plans
Hark has opened a waitlist for its platform and plans to release it by the end of the summer. The company said that for this release, it's using a post-trained model and plans to pre-train later this year. This approach will allow Hark to refine its data pipeline, training infrastructure, and techniques more quickly.
Conclusion
Hark's Handoff agent is a game-changer in the world of browser use and task completion. With its ability to navigate websites without official APIs and complete tasks with ease, it challenges the dominance of large language models. As the technology continues to evolve, we can expect to see more innovative applications of Handoff in the future.
