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Ubersuggest Parse.ly AnalyticsBased on our record, Ubersuggest should be more popular than Parse.ly Analytics. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ubersuggest - Ubersuggest is a free keyword research tool by Neil Patel. Source: 11 months ago
Neil Patel’s Ubersuggest is a keyword-tracking tool that can take you through the SEO steps to improve your website performance without much difficulty. Besides identifying keywords, the tool helps you search the intent behind them by displaying the top search engine page results derived from long-tail keywords. Source: about 1 year ago
Here's a resource: look up "wooden table" at https://neilpatel.com/ubersuggest/ You'll see top sites rating for that phrase, article ideas, and a ton of other useful information. Source: over 1 year ago
Next best tip is to pick a super simple language generation use case (like "excuses generator") and fine-tune GPT-3 on 100 good examples on it. Most people are not bothering to fine-tune but it makes all the difference. Remember the Linkedin viral post generator? Something like that. You can use a free SEO tool like Ubersuggest to find niche ideas, and this way you'll keep getting SEO traffic once the initial buzz... Source: over 1 year ago
Ubersuggest - Offers keyword research, site audit, and backlink analysis. The basic plan is free, with premium plans starting at AUD $34/month. Link: https://neilpatel.com/ubersuggest/. Source: over 1 year ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
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Make My Persona - A free buyer persona generator
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Zoios - Understand and keep your employees with people analytics