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#RequestForProduct VS Parse.ly Analytics

Compare #RequestForProduct VS Parse.ly Analytics and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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#RequestForProduct logo #RequestForProduct

A crowdsourced directory of product ideas people wish exist.

Parse.ly Analytics logo Parse.ly Analytics

Analytics for understanding audience attention
  • #RequestForProduct Landing page
    Landing page //
    2019-04-23
  • Parse.ly Analytics Landing page
    Landing page //
    2023-05-03

Category Popularity

0-100% (relative to #RequestForProduct and Parse.ly Analytics)

#RequestForProduct

Parse.ly Analytics

Web App
100 100%
Web App
0% 0
Analytics
0 0%
Analytics
100% 100
Productivity
51 51%
Productivity
49% 49
SaaS
0 0%
SaaS
100% 100

User comments

Share your experience with using #RequestForProduct and Parse.ly Analytics. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Parse.ly Analytics seems to be more popular. It has been mentiond 3 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.

#RequestForProduct mentions (0)

We have not tracked any mentions of #RequestForProduct yet. Tracking of #RequestForProduct recommendations started around Mar 2021.

Parse.ly Analytics mentions (3)

  • Google Analytics: seems to really suck now, alternatives?
    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
  • Ask HN: Who is hiring? (July 2021)
    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
  • Automatad's AdTech Weekly Roundup #153
    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

What are some alternatives?

When comparing #RequestForProduct and Parse.ly Analytics, you can also consider the following products

Requests for Startups - A place to discover ideas that VCs & angels want to fund

GoSquared People Analytics - One place to understand your users

Twittr Gems - Discover and read the best Twitter threads

Make My Persona - A free buyer persona generator

Entrepreneur List - A curated library of entrepreneurship knowledge to help entrepreneurs grow a business.

Currents by Parse.ly - Uncover what’s making 1 billion people pay attention

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