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Based on our record, Fred & Farid seems to be a lot more popular than Ecomhunt. While we know about 132 links to Fred & Farid, we've tracked only 5 mentions of Ecomhunt. 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.
I have experience with both tools. EcomHunt is best-known as a minimalist tool since it gives results and tells you this is what you need. It saves sellers time and effort to do analysis but leaves users to wonder about the data accuracy. FindNiche is known for its massive database. It lays out all the key metrics to allow sellers to do further analysis. Therefore, it has data disclosure but requires users to have... Source: almost 2 years ago
I still felt a bit “lost” and didn’t know where to go from here. So I went over to Ecomhunt again and browsed through tons of products. Source: about 2 years ago
So I went over to Ecomhunt, signed up for an account and looked through all the products. Source: over 2 years ago
In fact, the method of product selection abounds on the network, but the same method others can elect the explosive, you may not feel. In fact, as long as you make a profitable product, slowly in the process will accumulate experience and find the right selection criteria for yourself. Just started in the industry partners can use some tools to assist. For example, FindNiche, BigSpy, Ecomhunt. You can reduce the... Source: over 2 years ago
Another example you can see here: https://ecomhunt.com/. Source: over 2 years ago
Https://fred.stlouisfed.org/ focuses in the information without using indecipherable visualizations or adding a bunch of chart junk. - Source: Hacker News / 11 days ago
For economic (as opposed to business) data you're usually better off with FRED https://fred.stlouisfed.org/. - Source: Hacker News / 11 days ago
Https://fred.stlouisfed.org It seems like it's down every night nowadays... - Source: Hacker News / 6 months ago
Yeah they ripped a random inflation series from https://fred.stlouisfed.org and just called it “inflation”. Source: 11 months ago
You can compare the different series on https://fred.stlouisfed.org. Source: 11 months ago
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