October 2025 Summaries

Emmanuel's participation in two Ask Me Anything sessions highlighted Bubble's ongoing efforts and future direction, focusing on the integration of an AI Agent within its platform. The AI Agent is designed to assist users by interpreting application patterns and suggesting changes, without making silent alterations, thus enhancing user interaction and learning. Currently limited to AI-generated apps, the long-term goal is for the Agent to support large legacy applications, aiming for a broader release early next year. Emmanuel addressed several topics, including the future of plugin recommendations, design system integration, and database interactions, emphasizing user control and data ownership. Bubble continues to prioritize both mobile and AI development, with pricing strategies that reflect different costs associated with mobile deployment. The company remains committed to database performance, API Connector improvements, and exploring EU/UK hosting, while maintaining a focus on serving smaller, growing companies as a path to becoming a standard in the industry. Emmanuel shared insights on Bubble's vision of empowering non-technical founders and its goal of evolving into a comprehensive platform that bridges prototyping and production.

VoiceDrop, an AI-powered ringless voicemail platform developed by Nadav Boaz and Robby Frank, leveraged the rapid development capabilities of the no-code platform Bubble to achieve a seven-figure annual recurring revenue within a year of its launch, boasting over 2,000 paying customers across industries such as finance, real estate, healthcare, and insurance. The platform capitalizes on combining voice-cloning technology with ringless voicemails, allowing sales teams to send personalized, AI-generated voicemails directly to prospects' inboxes without ringing their phones, significantly improving engagement rates compared to traditional cold calling. VoiceDrop's innovation includes AI agents capable of handling inbound calls, qualifying leads, and integrating information into client CRMs, outperforming human agents by maintaining focus and overcoming cultural and language barriers. By building entirely on Bubble, VoiceDrop accelerated its time-to-market, allowing rapid iteration based on customer feedback, avoiding expensive custom development, and reinvesting savings into growth instead of technical debt. The team’s strategy of training Python developers to use Bubble contributed to its success, enabling them to think architecturally while building rapidly, thus maintaining a competitive edge in the fast-paced AI market.

Launching a mobile app can be an exciting achievement, but success often hinges on effective user acquisition strategies. Key approaches include app store optimization, which enhances visibility and downloads through strategic use of keywords and visuals, and "building in public," where developers share their progress and challenges online to build a community of interested users. Incentivizing referrals through rewards can amplify word-of-mouth growth, a proven method for increasing user numbers. Content marketing, social media, and influencer partnerships can expand reach and create brand awareness even before an app's launch. Paid advertising can provide a boost to both initial and sustained growth, complementing organic strategies. Challenges such as user acquisition cost, market saturation, and audience fragmentation require careful planning and execution of diverse strategies to overcome. Ensuring low churn rates through enhanced user engagement and retention tactics, such as personalized notifications and gamification, is also crucial. Utilizing platforms like Bubble can streamline the development process, offering tools for building and scaling apps efficiently without requiring extensive coding knowledge.

Bubble has introduced its most significant AI update yet, unveiling the Bubble AI Agent, which acts as a building partner that understands users' apps to enhance speed and efficiency in development. Announced during the Bubble Tour 2025 in London and Paris, this update comes as part of a broader initiative to advance non-technical software development beyond traditional no-code and vibe coding methods. The Bubble AI Agent, now available in beta, is designed to generate, edit, and troubleshoot app elements using best practices, with features like responsive design and workflow analysis. This development aims to address the limitations of previous coding methods by providing tools that allow builders to scale and edit their projects without being hindered by complex code. Furthermore, Bubble has expanded AI app generation to include mobile apps, introduced in-app purchases, and made security and workflow improvements, underscoring its commitment to providing a comprehensive, scalable platform for both web and mobile development.

In 2024, AI-powered code generation tools gained attention with promises of quick app creation through simple prompts, but a survey of 793 Bubble builders highlighted the actual effectiveness of visual development platforms over vibe coding for production applications. The majority of experienced builders expressed greater confidence in visual development for mission-critical applications, with 71.5% favoring it over vibe coding, which only garnered 32.5% confidence. Additionally, security concerns were prevalent with vibe coding, as 72.3% of respondents worried about vulnerabilities, while 52.8% rated visual development as the most secure approach. The survey revealed that visual development not only led in builder confidence and security but also in productivity, with 77.4% reporting threefold or greater productivity gains, compared to more modest gains with vibe coding. Moreover, significant cost savings were reported, with nearly 50% of builders saving up to $250,000 annually in development costs using visual development tools. As a result, visual development platforms are predicted to dominate production application development by 2025, while vibe coding will remain valuable for prototyping but will struggle with debugging, customization, and long-term maintenance.

Over the past year, the allure of vibe-coding tools promising app creation through simple natural language prompts has been juxtaposed against the practical reliability of visual development, especially when building production-grade applications. A survey of 793 Bubble users highlights a significant confidence and security gap between the two approaches, with 71.5% of builders expressing confidence in visual development for mission-critical applications compared to 32.5% for vibe coding. Visual development is favored for its predictability, control, and transparency, addressing security concerns prevalent in AI-generated code, which 72.3% of builders worry about due to its "AI black box" nature. Builders have achieved successful projects across various industries using visual development, attributing its success to its ability to empower non-technical users, reduce development costs, and eliminate the need for extensive engineering teams. While vibe coding excels in rapid prototyping and concept validation, visual development remains the preferred choice for deploying functional, secure, and scalable applications. Looking ahead, the future of app development seems to lie in hybrid platforms that combine AI speed with visual control, allowing builders to leverage the strengths of both approaches without the pitfalls of AI limitations.