Genspark recently launched Super Agent, a platform offering no-code personal AI agents. These agents leverage OpenAI's GPT-4.1 and Realtime API to automate complex real-world tasks. The company achieved an impressive $36 million ARR in just 45 days with a 20-person team. This demonstrates strong market demand for these advanced solutions.
Initially, Genspark focused on AI search. However, user behavior shifted from seeking information to desiring direct outcomes. This prompted Genspark to pivot in April 2025, fully embracing agentic AI. Consequently, Super Agent emerged as a fully autonomous, no-code assistant. It integrates OpenAI multimodal models, enabling tasks across text, image, and voice. Users define desired outcomes with simple prompts, eliminating coding requirements. This system orchestrates nine specialized large language models and over 80 integrated tools. It dynamically assigns each task to the most suitable component.
Powering No-Code AI Agents GPT-4.1 serves as a central component, handling research and structured outputs. It offers improved instruction following and a 1M-token context window. This allows agents to process extensive documents without truncation. Additionally, strict JSON output ensures reliable structured responses for downstream tools. Automatic prompt caching further reduces latency and API costs, especially in multi-step workflows. For image generation, the platform utilizes the GPT-image-1 model via the OpenAI API.
One notable feature, "Call For Me," enables the AI to make and conduct real phone conversations. This agent uses the OpenAI Realtime API for natural, real-time fluency. A dual-layer system manages live dialogue while a shadow model guides the interaction. This capability even supported viral use cases like handling resignation calls in Japan. Furthermore, beyond calls, Super Agent creates personalized content. It generates pitch decks with stylized images and Instagram-ready videos.
Genspark's rapid growth stems from product virality and organic word-of-mouth. The platform's accessibility, requiring no workflow building or configuration, drives its appeal. Users simply state their needs, and the agent executes. Genspark attributes much of its success to close collaboration with OpenAI. Their APIs enabled rapid development, debugging, and scaling without bottlenecks. Ultimately, Genspark plans to expand into new categories, including an AI browser and AI docs. OpenAI APIs remain critical to their rapid development and deployment strategy.
