Tim DraperFounder and Managing Partne, Draper Associate · I back the ideas that look crazy first

Orbt is reaching out to different media outlets and building a scalable, fact-driven news system

13 Mar 2025 · 1 min

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This content was created by Tim Draper. This content was uploaded by Tim Draper. This is a YouTube video titled "Orbt is reaching out to different media outlets and building a scalable, fact-driven news system" (created 2025-03-13). The excerpt contains a short multi-speaker discussion (labeled SPEAKER A and SPEAKER B) about a startup called Orbt that aims to provide synthesized/summarized news and require users to complete brief Q&A after articles to build a labeled dataset for training NLP/large language models. They mention being pre-launch and pre-revenue (only private testing), recent contact with Reuters and outreach to other media outlets, and two monetization paths: contextual advertisements and selling labeled data to AI companies such as OpenAI.

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So this is not just about giving users news clips, but actually giving information synthesis and summarization? Right. We're not only providing them news, we're actually getting people to fill out like a short Q&A right after to read the next news. If they don't fill it out, they can't move on. It allows us to build our own unique database of basically labeled data that we can use to train NLPs or large language models in the near future.
Why is this better than those things that are already out here?
In the near future, we hope to create our own standard of being able to tell whether something is fake. And we hope that with these labeled data, we're able to tell the difference. And we're hoping to work with other different AI companies to actually bring this.
What are your sources?
Right now, we had a meeting with Reuters and we're reaching out to way more different media outlets to expand our reach. How many users do you have and what's your path to monetization? We actually don't have any users right now because we're pre-revenue and pre-launch. We did private testing. You haven't launched yet? Yeah, we're thinking 2 ways, one of which are basically advertisements that are related to the articles you read. The other is that we're actually able to sell these labeled data into companies like OpenAI or all these type of different companies.