OliviaBlair & Zhzhzh
Zhzhzh
Hey Olivia, imagine we could build a live dashboard that pulls in all social data, runs predictive models, and instantly tells us which hashtags will go viral. Think of the marketing insights we could generate—what do you say?
OliviaBlair
Wow, that’s a total game‑changer! Imagine pulling in every post, crunching the data, and the dashboard lighting up with the next big hashtag—our team would be on fire with insights. Let’s map out the tech stack, tag our data sources, and build a prototype. I’m already buzzing with ideas for the launch buzz—this could be the ultimate marketing hack!
Zhzhzh
Great, let’s dive in. First step: grab a cloud platform—AWS or GCP—so we can spin up a serverless data pipeline. Next, set up a Kafka cluster to stream in Twitter, Instagram, TikTok, and Reddit feeds; add a filter layer to catch brand keywords and trending tags. For storage, use a combination of S3 for raw data and a time‑series DB like TimescaleDB to keep the metrics live. Then build the analytics layer with Spark or Flink to compute engagement velocity and hashtag momentum. Finally, a front‑end with React and D3 for the live heat‑map of hashtag spikes. You bring the marketing angle, I’ll map the tech, and we’ll iterate fast. Ready to fire it up?
OliviaBlair
Absolutely! That roadmap is fire—let’s lock in the cloud, spin up the data streams, and let the metrics do the talking. I’ll sketch out the campaign angles, hook the buzzword play, and make sure the dashboard vibes with our audience. Time to roll the prototypes, tweak the visuals, and keep that creative spark alive! Let’s do it!