Content Recommender is a suite of analytics and decision making tools that revolves around improving websites.
Built by a digital marketing team for… digital marketing teams
Inbound Found is a digital marketing and web dev agency based in Philadelphia and the Philippines
FTE Team Members
Years w/ AI/ML, NLP, Graphs
Client Websites Built
Content Strategy Projects
Timeline / Progress to Date
Content Recommender started as “Content Graph” a AI/ML + Graph Analytics side project using Neo4j, a database technology designed for analyzing network structures.
Complete Architecture finalized relying on the GRAND stack (Neo4j/GraphQL/React) and AWS for site crawl deployments, data preprocessing, enrichment.
First two full-time dev hires start working on Content Recommender. Three new reports rolled out:
Agile introduced. First annual client sites added.
Self-service licensing for select tools expected to launch. Join the pre-launch list.
UI/UX, product roadmapping, cypher fun
Predominantly working on NLP, query driven reports
Predominantly working on LLM / GPT related workflows
SOP and process automation, ensures successful service delivery