🪄 Omni in action: Turn YC demo day videos into data
Here they started with a database of all the public demo day videos and extracted some of the most interesting business metrics — without needing to watch hundreds of videos.
A company’s most valuable data set is often its least accessible. Only 20% of corporate data lives in SQL, with the remaining 80% locked away in unstructured formats (reviews, chat logs, transcripts, pdfs). It takes some serious engineering work to answer questions like:
“Graph the most common user complaints over the last 4 years”
“What percentage of users complain about pricing on sales calls”
“How many users are getting their questions answered by our chatbot”
And this problem will only get worse as AI interfaces become more ubiquitous and more user data is locked up in chat logs. 🤖
How are people solving this today?
Even YC founders don’t have a unified strategy here. From the hundreds of companies we’ve interviewed, it usually boils down to:
🌎 Outsourced data entry - Slow and surprisingly inaccurate
🔎 Spot checking - Slow and very prone to bias (i.e. read 10 user reviews and make sweeping business decisions)
💸 Hire some ML engineers - Best results, but it’s going to be slow and expensive
Solution
Use OmniAI to turn that unstructured data into tabular data. OmniAI makes it simple to transform and enhance unstructured data, all within your existing data warehouse.
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