According to a recent LinkedIn post from Lovable, social intelligence platform dig.ai is using Lovable’s technology to rapidly build customized social intelligence apps for individual prospects and customers. The post describes dig.ai as a video-first platform that analyzes billions of posts and videos for global brands and now tailors dedicated apps around each client’s workflow.
The post suggests that this shift to highly tailored applications has coincided with a rise in dig.ai’s proof-of-concept conversions, reportedly increasing from 34% to 79%. It also notes that the company reports losing no deals since adopting this approach, with 10 purpose-built apps available in a customer app store and new custom apps shipped in days on top of dig.ai’s core engine.
For investors following Lovable, the post highlights a concrete commercialization example where its tooling underpins rapid, client-specific software delivery for an enterprise-focused platform. If such outcomes are representative, they could indicate Lovable’s potential to enhance sales efficiency and customer stickiness for similar B2B clients, potentially supporting higher-value contracts and lower churn.
The dig.ai use case may also signal a broader trend toward modular, workflow-centric applications built on shared engines, a dynamic that could expand Lovable’s addressable market among software and data platforms. However, all figures cited remain self-reported within the LinkedIn post context, and investors would likely look for broader adoption data and independent metrics before drawing firm conclusions about Lovable’s long-term financial impact.