AppFollow
appfigures
AppTweak
Sensor Tower
Appbot
App Radar
App Annie
AppReviewBot
Cppcheck
Clang Static Analyzer
Coverity Scan
lgtm.com
SonarQube
VisualCodeGrepper
Flawfinder
Parasoft C/C++test
Your app's reputation determines success. Apps with 4+ stars capture 80% of market revenue and get conversion rates that make competitors jealous. We built AppFollow as the reputation management platform that turns user feedback into measurable results.
AppFollow filters reviews for app teams who need to improve their product and increase sales. Better feedback management improves app ratings, better ratings boost conversion rates and trust, which then means more downloads and revenue. This loop is your competitive advantage.
Our AI suite does the heavy work: with its help, you can tag feedback by topic, summarize insights across thousands of reviews, translate languages, generate unique responses that sound human, and assist your team with complex cases. Automate routine replies and flag issues that need human attention.
Get the reporting you need. Executive reports deliver full summaries for leadership with granular analytics showing which keywords generate downloads. Reveal how competitors attract your users, identify which marketing channels work best, set up Slack alerts for critical feedback, and optimize the time your team spends on reputation management.
Track ASO performance and organic visibility. Monitor reviews across all app stores. See what drives rankings and conversion rates.
Major companies trust AppFollow to maintain their competitive edge. Easy Brain, Wargaming, Lazada, G5, Gameloft, Indeed, Standard Bank, and Opera rely on our platform. We integrate with App Store Connect, Google Play Console, Trustpilot, and all major app marketplaces, with platforms like Steam joining the list soon. We also connect with your existing tools like Zendesk and Slack.
Turn user feedback into business advantage.
AppFollow CppcheckCppcheck is recommended for C/C++ developers and development teams, particularly those responsible for maintaining large codebases or projects where code quality and reliability are paramount. It is also beneficial for educational purposes, where students and new developers can learn about potential pitfalls in C/C++ programming.
AppFollow's answer
AppFollow uniquely combines AI-powered review analysis, reply automation, and app store optimization into one platform. We help mobile-first teams understand user feedback at scale and turn ratings and reviews into a real growth lever โ not just a support task.
AppFollow's answer
AppFollow is built for teams that care about outcomes, not just data. Customers choose us because we:
Save time with smart automation
Reveal product and UX insights hidden in reviews
Help improve ratings faster with data-backed actions
In short: fewer tools, clearer decisions, better ratings.
AppFollow's answer
AppFollow started with a simple problem: mobile teams were drowning in user feedback but couldnโt act on it fast enough. What began as a way to track and respond to app store reviews quickly evolved into a full platform helping teams turn user voice into a competitive advantage.
AppFollow's answer
AppFollow is built using modern cloud infrastructure and scalable web technologies, with a strong focus on AI/ML for text analysis, automation, and secure data processing. The platform is designed to handle large volumes of app store data reliably and in real time.
AppFollow's answer
AppFollow's answer
The platform is built for product managers, growth and ASO marketers, customer experience leaders, and app teams who manage large volumes of user feedback across app stores, regions, and languages. These teams rely on AppFollow to filter signal from noise, identify reputation risks early, and turn user feedback into faster product improvements and measurable business results.
AppFollow is especially valuable for organizations where:
A small change in star rating creates outsized financial impact
Review volume makes manual analysis impossible
Speed matters when bugs, crashes, or UX issues affect ratings
Reputation management must scale without increasing headcount
From fast-growing app publishers to international brands managing apps across dozens of markets, AppFollow serves teams that view reputation management as a growth engine, not a support task.
Based on our record, Cppcheck seems to be more popular. It has been mentiond 10 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.
I dedicated Sunday morning to going over the documentation of the linters we use in the project. The goal was to understand all options and use them in the best way for our project. Seeing their manuals side by side was nice because even very similar things are solved differently. Cppcheck is the most configurable and best documented; JSON Lint lies at the other end. - Source: dev.to / over 2 years ago
Using infer, someone else exploited null-dereference checks to introduce simple affine types in C++. Cppcheck also checks for null-dereferences. Unfortunately, that approach means that borrow-counting references have a larger sizeof than non-borrow counting references, so optimizing the count away potentially changes the semantics of a program which introduces a whole new way of writing subtly wrong code. Source: about 3 years ago
For my own projects, I used cppcheck. You can check out that tool to get a feel. Depending on what industry your in, you might need to follow a standard like Misra. Source: over 3 years ago
Https://cppcheck.sourceforge.io/ (there are many other static analysis tools, I just haven't used them or didn't care for them). Source: over 3 years ago
Sounds like something that could simply be communicated with the team that writes the tests. Unless you have dozens of such classes. In that case, you could just use e.g. Cppcheck and add a rule (regular expression) that searches for usages of the forbidden classes. Source: over 3 years ago
appfigures - Cross-platform app store analytics for all of your mobile apps.
Clang Static Analyzer - The Clang Static Analyzer is a source code analysis tool that finds bugs in C, C++, and Objective-C...
AppTweak - The most comprehensive ASO & Apple Search Ads platform to optimize your apps' organic and paid performance in the app stores
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free
Sensor Tower - Sensor Tower is a platform for app store optimization and app industry intelligence.
lgtm.com - lgtm.com is a platform for code analytics.
