SPAMRAID
AI rescue for real emails buried in your spam folder.
A startup from City of London, the United Kingdom, founded by M. Dikici.
AI rescue for real emails buried in your spam folder.
A startup from City of London, the United Kingdom, founded by M. Dikici.
This page is designed to help you find out whether SPAMRAID is good and if it is the right choice for you.
Every business loses real email to overzealous spam filters. A new client emails from their own domain, the filter distrusts the unknown sender, and a valuable enquiry dies quietly in the spam folder.
SPAMRAID is the safety net behind your spam filter. It connects to any mailbox over IMAP — shared hosting, Gmail, Outlook, Yahoo, iCloud, self-hosted — and checks every new message that lands in spam. An AI classifier reads only the headers and a short excerpt (full bodies and attachments never leave your mail server) and judges whether the message is actually legitimate, using your own business context and rules. Wrongly flagged email returns to the inbox within about a minute, and trusted senders are learned into a whitelist so repeat senders are never delayed and cost nothing.
Pricing is prepaid, not a subscription: the first 100 AI checks each month are free, then about $0.01 per check. Unlimited mailboxes on every account.
Listed in
Free spam-blocking resource
SpamRAID offers its DNSBL (DNS-based blackhole list) service free of charge to mail server administrators, making it an accessible tool for reducing incoming spam without additional software costs.
Easy integration
Like most DNSBL services, SpamRAID can be easily added to existing mail server spam-filtering configurations (e.g., Postfix, Exim, SpamAssassin) with minimal setup, allowing administrators to quickly start blocking known spam sources.
Helps identify problematic IPs
By aggregating data on IP addresses associated with spam, open relays, or malicious activity, SpamRAID helps administrators identify and block sources of unwanted email traffic before it reaches user inboxes.
Lightweight and low-overhead
DNSBL lookups are typically fast and require minimal server resources, meaning SpamRAID can be used to filter spam without introducing significant latency into email processing pipelines.
Community-based spam detection
Reputation-based blacklists like SpamRAID often rely on collective reporting and spam trap data, which can help catch spam sources that might not be flagged by content-based filters alone.
We have collected here some useful links to help you find out if SPAMRAID is good.
Check the traffic stats of SPAMRAID on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of SPAMRAID on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of SPAMRAID's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of SPAMRAID on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about SPAMRAID on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is SPAMRAID good? This is an informative page that will help you find out. Moreover, you can review and discuss SPAMRAID here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
