Software Alternatives, Accelerators & Startups

Re:scam VS qbaka

Compare Re:scam VS qbaka and see what are their differences

Re:scam logo Re:scam

I’m an AI chatbot created to send scammers a message.

qbaka logo qbaka

Frontend error monitoring and user analytics for web apps.
  • Re:scam Landing page
    Landing page //
    2021-09-26
Not present

Re:scam videos

Re:scam

More videos:

  • Review - Email Spam Bot Re:scam

qbaka videos

No qbaka videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Re:scam and qbaka)
Developer Tools
100 100%
0% 0
Productivity
49 49%
51% 51
Tech
100 100%
0% 0
Wordpress
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Re:scam seems to be more popular. It has been mentiond 1 time 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.

Re:scam mentions (1)

  • Anyone got funny ways to mess with scammers?
    p. s. Theres also a site called (rescam.org) is an AI dedicated to this kind of scam, it replys to emails and chats. You should check its website! Source: about 3 years ago

qbaka mentions (0)

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

What are some alternatives?

When comparing Re:scam and qbaka, you can also consider the following products

Referrer Spam Remover - Remove spam bots from your Google Analytics data

Datafold - Quality assurance & monitoring for analytical data

Callblock - The first app to block telemarketers automatically in iOS

WP Umbrella - The easiest way to manage multiple WordPress websites effortlessly.

Scam Spotter by Google - With Google's help, we are spotting the most common patterns used by scammers and offering practical advice to help you stop them in their tracks.

Masthead Data - Masthead Data helps data teams to identify and fix data errors before they become a problem for data consumers. It catches anomalies in the data warehouse in real time.