Insights

Giselle integrates Google's Gemini 2.5 Flash-Lite, bringing lightning-fast, multimodal AI capabilities and web search to all users, including those on the Free Plan.

We'll introduce the strategies that helped the Liam repository gain 3,000 GitHub stars within 3 months of its release.

Discover how combining Zed editor with Claude Code creates a powerful 'Vibe Coding' experience without abandoning your favorite editor, offering the best of both worlds for developers.

Generative AI is revolutionizing requirements engineering, with Giselle amplifying its power to accelerate product development and clarify complex specifications.

The Liam logo visualizes the core philosophy of the brand, structuring it into a coherent visual language. A refined form free of excess. A design that is intuitive yet deeply meaningful. What process led to this form? Let's unravel the concepts and approaches behind it.

Product builders are leading a new tech era, merging art and architecture. ROUTE06 empowers these creators with AI tools to turn bold ideas into reality.

This article explains how the Priority Plan for the Realization of a Digital Society will impact Japan's business environment and how companies should leverage digital transformation.

Zapier's success is due in large part to their unique content marketing, which they have continued to focus on since their early days. This article highlights the content marketing that has been the driving force behind Zapier's growth.

This article provides an overview of the CCPA and its impact on companies' compliance, and explains the importance of responding to the upcoming regulatory changes.

This article presents HubSpot's Go-to-Market (GTM) strategy, which focuses on inbound marketing and multi-products that have enabled HubSpot's growth.

This article explores the journey, growth strategy, and future outlook of Hugging Face.

In the EU, the General Data Protection Regulation (GDPR) is an important guideline for companies dealing with generative AI. This article explains how companies providing generative AI services should comply with the GDPR.

This article will review the support for implementing low code and then explain the differences between the U.S. and Japan in the implementation by users, with an awareness of the differences between the U.S. and Japan.

This article organizes the typology of low-code users and offers suggestions for addressing issues and implementing effective countermeasures related to low-code.

This article will highlight the differences in the development of platforms that support 'no-code' or 'low-code' development, as compared to traditional SaaS and other common software development.