ZoomInfo Reviews

1. Simon

   | Working at Simon | over 1 year ago
   Good, but Not the Best B2B Database

   As a B2B database, ZoomInfo certainly has a lot to offer. Its detailed business information on people and companies is impressive, and I've found it to be a useful resource for researching potential clients and partners.

   However, I do have a few criticisms of the product. Firstly, its pricing is quite steep, especially compared to other B2B databases on the market. This makes it difficult for smaller businesses or startups to justify the cost. Additionally, while the information on ZoomInfo is generally accurate and up-to-date, I have come across a few instances where the information was incomplete or outdated.

   Despite these drawbacks, ZoomInfo is still a good resource for business information. It just might not be the best option out there. If you're willing to pay for a premium service, then ZoomInfo could be worth considering. However, if you're looking for more cost-effective alternatives, there are several options to consider.

   🏁 Competitors: LinkedIn Sales Navigator

   👍 Pros:    Detailed|Accurate

   👎 Cons:    Expensive|Incomplete

AssemblyAI Reviews

ZoomInfo mentions (5)

• Vendor annoyance phone calls

  For the phone calls - there's a decent chance they got your number from zoominfo.com - you can go there and request to be removed. Source: about 1 year ago

• Forward spam emails back to sender!

  I just found a few data collator sites, zoominfo.com and signalhire.com are just two - they seem to scrape sites like Linkedin etc and collate everything. Personal numbers can be found pretty easily, if you've ever signed up for a business identification number it could be there, could be in a data leak somewhere - these companies are pretty shady and will buy data from places to just get a lead. Source: over 1 year ago

• Finding Suppliers Recommendation For New Business Owners

  I currently use: thomasnet.com, zoominfo.com, and selletonline.com. Source: almost 2 years ago

• Reputable places to get email contacts?

  Zoominfo.com is used by larger companies. Source: about 2 years ago

• Considerations for choosing an installer? Experiences with Suntuity?

  I suppose the easiest way is to just search the company on the intrawebs and see what their web site pulls up. You can kind of tell from there and their Yelp reviews/Google reviews, if they are their own company or some kind of contractor type company. I also used zoominfo.com to get a sense of how big the company was. You'll probably be able to tell from there if they are their own company or part of a larger... Source: over 2 years ago

AssemblyAI mentions (8)

• We Created Something Cool to Help Streamers Grow, What Do You Think? DailyClips.io

  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

• How I applied nlp to various youtube videos

  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

• Top AI Startups to Watch in 2022

  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

• Speaker diarization

  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

• I analyzed the last year of popular news podcasts to see if the frequency of negative news could be used to predict the stock market.

  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