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A New Approach to Product Releases
Traditionally, product releases can be tedious, often involving numerous approvals, extensive modifications, bureaucratic hurdles, and various friction points. However, Genspark has adopted a radically different approach. This AI workspace company operates with a lean team that embraces AI-native working—referred to as “vibe working”—enabling them to operate at what they call “gen speed.” This methodology allows them to launch new products and features almost weekly, significantly increasing their annual recurring revenue (ARR). The company proudly claims it could become “the fastest-growing startup ever in terms of ARR.”
Empowering Teams with AI
“When teams work in an AI-native manner, everyone essentially becomes a manager,” explained Kaihua (Kay) Zhu, co-founder and CTO, in an interview with VentureBeat. “Each team member is supported by AI agents, acting as their reportees, allowing them to independently deliver features from start to finish.”
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Genspark’s Evolution
Founded in June 2024 by MainFunc, Genspark initially focused on AI search. Despite amassing an impressive user base of 5 million, the company shifted its focus to Super Agent. Unlike traditional search methods that follow a fixed sequence of steps, Super Agent selects the most appropriate tools or sub-agents for each task, evaluates results, and adjusts in real time. Launched on April 2, Super Agent, powered by Anthropic’s Claude, can condense an afternoon’s worth of office work into just five minutes. It can handle tasks such as making calls, downloading files, fact-checking, producing podcasts, drafting documents, conducting in-depth research, and creating spreadsheets and presentations.
“We still consider it a form of search, but it’s significantly more advanced,” Zhu remarked, drawing on his over 20 years of experience in search technologies at Google and Baidu.
Rapid Feature Rollouts
Genspark has aggressively expanded its feature set over the past few months. Here’s a timeline of their significant rollouts and achievements:
– April 11: Reached $10 million ARR just nine days after launching Super Agent
– April 22: Introduced AI Slides, featuring hundreds of templates
– April 28: Launched a personalized Super Agent with adaptive personalities
– May 2: Hit $22 million ARR, one month post-launch
– May 8: Rolled out AI Sheets that create complete spreadsheets with a single click
– May 15: Introduced a fully-agentic download agent and AI drive for file management
– May 19: Achieved $36 million ARR
– May 22: Launched AI capable of making phone calls
– June 4: Introduced an AI Secretary for managing Gmail, calendars, and Google Drive
– June 10: Rolled out an AI Browser and MCP store with extended browsing capabilities and a tool marketplace
– June 18: Launched AI Docs for document creation and management
– June 25: Introduced Design Studio with Canva-like features for visual content creation
– July 10: Rolled out AI Pods for podcast creation using simple prompts
– July 17: Introduced advanced editing features for AI Slides
– July 31: Launched AI Slides 2.0
– August 1: Introduced multi-agent orchestration, enabling up to 10 agents to work simultaneously
Competing in the AI Agent Space
Genspark is intensifying competition in the AI agent market. Following OpenAI’s announcement of its ChatGPT agent in mid-July, Genspark conducted a comparative analysis and expressed confidence in its superior performance. To emphasize this, the company initiated a “1 Million Dollar Side-by-side AI Showdown,” inviting users to find instances where other platforms outperform Genspark’s Super Agent.
In the first round, users were tasked with creating a 12-page financial slide using both Genspark and ChatGPT Agent. Participants identified 429 instances where ChatGPT performed better, earning $100 for each case. In the second round, which concluded on August 4, Genspark increased the reward to $200 per successful identification and allowed any AI tool as a competitor. Users were challenged to use identical prompts to create slides on Genspark and their chosen AI tool, submitting them for evaluation by Gemini.
“We’re not trying to create any drama here—just genuinely excited about the progress in the entire AI agent ecosystem,” the company shared on X. “It demonstrates that we are all pushing the boundaries in the right direction.”
The Secret Behind Genspark’s Success
Genspark’s success can be attributed to its lean, AI-native team of 20 individuals and its engineering philosophy of “less control, more tools.”