Raindrop.io is a powerful bookmark management app praised for its user-friendly interface and unique features like saving specific lines from web pages. While many users appreciate its functionality, there are significant concerns regarding offline access, font size issues, and an outdated UI. Features like offline reading and customizable fields are highly requested, with some users comparing it favorably to Pocket. The app's reliability is sometimes questioned, particularly regarding link retention and syncing. Despite these critiques, the responsiveness of developers and ongoing improvements have garnered positive feedback, indicating a strong potential for growth. Many users recommend it as a solid alternative for saving and organizing web content, although some express frustration with current limitations.
Source: Google Play Reviews of Raindrop.ioStarting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.

Unlock insights with our Raindrop.io Review: Discover user feedback, feature requests, and areas for improvement.
For me a good replacement for pocket
麻煩,還是直接在CHROME上編輯書籤較方便。
just perfect
this app was good but now I can't sign up 😞
Great bookmark manager, and better than pocket
does not allow changing date
Have the complete report in your inbox with Excel, PDF and PowerPoint attachments. Need to play with the data? Enjoy our lightning-fast dashboard for further analysis.
One-time purchase without hidden or recurring costs!See the similar customer feedback reports based on reviews from Google Play and many other platforms.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
This page displays purchase options and a preview of the customer feedback analysis report for Raindrop.io based on online reviews collected from Google Play. The analysis helps Web Developers, Product Managers, UX/UI Designers, Digital Marketers, Content Strategists to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.
Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.
Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 30 recent reviews. Starting from $18, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.
We would like to clarify that this product is not created by Google Play and is not associated with or supported by Google Play in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Google Play's terms of use, including copyright regulations, when utilizing the extracted review data.
Product Feedback Analysis
E-commerce Feedback Analysis
Social Feedback Analysis
Open-ended Survey Analysis
Chatbot and Call Center Conversational Analysis
Employee Feedback Analysis