Like reading theinformation.com, watching youtube, and finding new opportunities to build businesses. Like with inside tiktok etc. Source: 7 months ago

If you look at any trend report like theinformation.com or explodingideas.co etc you'll see this stuff is everywhere. Source: 7 months ago

I just started building businesses on the side at my corporate job. I watched a bunch of YT videos and read explodingideas.co and theinformation.com religiously just looking for ideas. Source: 7 months ago

Id use market research tools like google trends, theinformation.com, explodingideas.co, ahrefs etc. To do research on things that are emerging and then capitalize on them basically via your content. Source: 12 months ago

Typically for the positive narrative and more opportunity driven narratives you would need to go with theinformation.com or explodingideas.co or something like that. Source: 12 months ago

The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 1 year ago

Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 2 years ago

AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 2 years ago

Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 2 years ago

Hello r/python community. I spent a couple weeks analyzing some podcast data from Up First and The Daily over the last year, 8/21/2020 to 8/21/2021 and compared spikes in the frequency of negative news in the podcast to how the stock market performed over the last year. Specifically against the DJIA, the NASDAQ, and the price of Gold. I used Python Selenium to crawl ListenNotes to get links to the mp3 files,... Source: almost 3 years ago