Smart Team Assembly
EngageFlow – Automating Topic Discovery for Content Creators
Led the development of a platform that automates content research by fetching live insights from multiple platforms, cutting research time significantly.
Year :
2025
Industry :
SaaS Agency
Client :
TEF
Project Duration :
4 weeks
Problem :
Content creators, marketers, and agencies spend hours digging for trending topics and audience pain points across platforms. EngageFlow aimed to eliminate the manual research phase, providing real-time insights and content gaps so creators could focus on production instead of research.
Solution :
As the Project Lead, I:
Assembled and managed a smart, cross-functional team capable of handling AI workflows and live data integrations.
Designed the platform flow using Langflow + DataStax, connecting multiple live APIs for real-time topic and comment retrieval.
Built a system that:
Accepts a topic from the user
Fetches top-performing content across YouTube, Meta, and Quora
Extracts comments and questions from top posts
Identifies trending queries and untapped content opportunities
This process reduced research time from hours to minutes, giving creators data-backed ideas instantly.
Challenge :
The key challenge was orchestrating multiple live APIs to work seamlessly, while ensuring that the platform returned accurate, relevant insights without crashes. Coordinating data flow, team tasks, and validation was crucial to make the MVP functional and reliable.
Summary :
Under my leadership, EngageFlow successfully moved from concept to a working prototype, showcasing the potential to revolutionize content ideation for creators and agencies. By blending smart team assembly, AI-driven automation, and strategic execution, we positioned EngageFlow to dramatically shorten content research cycles and open doors for future scale and commercialization.
More Projects
Smart Team Assembly
EngageFlow – Automating Topic Discovery for Content Creators
Led the development of a platform that automates content research by fetching live insights from multiple platforms, cutting research time significantly.
Year :
2025
Industry :
SaaS Agency
Client :
TEF
Project Duration :
4 weeks
Problem :
Content creators, marketers, and agencies spend hours digging for trending topics and audience pain points across platforms. EngageFlow aimed to eliminate the manual research phase, providing real-time insights and content gaps so creators could focus on production instead of research.
Solution :
As the Project Lead, I:
Assembled and managed a smart, cross-functional team capable of handling AI workflows and live data integrations.
Designed the platform flow using Langflow + DataStax, connecting multiple live APIs for real-time topic and comment retrieval.
Built a system that:
Accepts a topic from the user
Fetches top-performing content across YouTube, Meta, and Quora
Extracts comments and questions from top posts
Identifies trending queries and untapped content opportunities
This process reduced research time from hours to minutes, giving creators data-backed ideas instantly.
Challenge :
The key challenge was orchestrating multiple live APIs to work seamlessly, while ensuring that the platform returned accurate, relevant insights without crashes. Coordinating data flow, team tasks, and validation was crucial to make the MVP functional and reliable.
Summary :
Under my leadership, EngageFlow successfully moved from concept to a working prototype, showcasing the potential to revolutionize content ideation for creators and agencies. By blending smart team assembly, AI-driven automation, and strategic execution, we positioned EngageFlow to dramatically shorten content research cycles and open doors for future scale and commercialization.
More Projects
Smart Team Assembly
EngageFlow – Automating Topic Discovery for Content Creators
Led the development of a platform that automates content research by fetching live insights from multiple platforms, cutting research time significantly.
Year :
2025
Industry :
SaaS Agency
Client :
TEF
Project Duration :
4 weeks
Problem :
Content creators, marketers, and agencies spend hours digging for trending topics and audience pain points across platforms. EngageFlow aimed to eliminate the manual research phase, providing real-time insights and content gaps so creators could focus on production instead of research.
Solution :
As the Project Lead, I:
Assembled and managed a smart, cross-functional team capable of handling AI workflows and live data integrations.
Designed the platform flow using Langflow + DataStax, connecting multiple live APIs for real-time topic and comment retrieval.
Built a system that:
Accepts a topic from the user
Fetches top-performing content across YouTube, Meta, and Quora
Extracts comments and questions from top posts
Identifies trending queries and untapped content opportunities
This process reduced research time from hours to minutes, giving creators data-backed ideas instantly.
Challenge :
The key challenge was orchestrating multiple live APIs to work seamlessly, while ensuring that the platform returned accurate, relevant insights without crashes. Coordinating data flow, team tasks, and validation was crucial to make the MVP functional and reliable.
Summary :
Under my leadership, EngageFlow successfully moved from concept to a working prototype, showcasing the potential to revolutionize content ideation for creators and agencies. By blending smart team assembly, AI-driven automation, and strategic execution, we positioned EngageFlow to dramatically shorten content research cycles and open doors for future scale and commercialization.