NAMINT
Tool Description : A web app that generates multiple username, email, and naming combinations from a person’s first, middle, and last name.
NAMINT
Quick Overview
What it does
Generates possible username and email variations using combinations of a target’s first, middle, and last name.
How to use it
Enter a target’s known first, middle or last name, generate possible naming combinations automatically, then use the results across OSINT platforms and search engines to identify linked accounts or digital traces.
Cost
Free.
Account required
No.
Cookies
Minimal/none.
Ownership
Created and maintained by SEINTPL, based in Poland.
Use in Reporting
Useful for reporting on username attribution, online identity mapping, account enumeration, and digital footprint investigations.
What does NAMINT do?
NAMINT helps investigators predict how someone may register accounts across platforms by automatically creating common naming patterns used in usernames, handles, and email addresses.
For example, entering: John Michael Smith
Could generate:
johnsmith
jsmith
johnmichaelsmith
smithjohn
john_smith
j.m.smith
smith.john
john1987
This helps analysts uncover usernames that may otherwise be missed during manual searches.
The lowdown: Whilst NAMINT doesn’t verify ownership of accounts, it does help generate plausible leads for further investigation.
How to Use:
1. Input the target’s first, middle, and last name into the generator fields.
2. Allow the tool to generate username and email permutations and pivot into OSINT searches.
Note: NAMINT also now generates Github avatars.
Cost
Data Processing
Account Required:
Cookies:
Minimal or no tracking cookies depending on browser interactions and GitHub Pages hosting. (Our visit to the site on 21.05.26 used no cookies).
Use in Reporting
NAMINT can support reporting involving:
Username attribution
Online account discovery
Digital footprint mapping
Alias analysis
Social media investigations
Threat actor profiling
It is particularly useful during the early stages of identifying possible online identities connected to a target.
Whilst there are limited publicly documented case studies specifically naming NAMINT in investigations, the technique it supports; username and identity permutation analysis, is widely used in real-world OSINT, cyber investigations, and threat intelligence workflows.
Capabilities
Limitations
Generates large numbers of username combinations quickly.
Does not verify account ownership or authenticity.
Supports email and alias discovery workflows.
Generated results may produce false positives.
Useful for social media and account enumeration.
Relies on accurate input names for best results.
Helps investigators identify overlooked naming patterns.
Cannot search platforms automatically.
Free and accessible through a browser.
Less effective against completely unrelated usernames/aliases.
Summary
NAMINT helps investigators move beyond obvious searches and uncover hidden or reused account identifiers across platforms, making it a valuable addition to attribution and digital footprint investigations, best used during the enumeration and pivoting stage of the OSINT workflow.
Ownership
Created and maintained by SEINTPL, based in Poland.
Ethical Considerations
Use generated usernames responsibly and lawfully.
Avoid harassment, stalking, or unauthorised monitoring.
Remember that username matches do not prove identity ownership.
Be cautious of false positives during attribution.
Related Tools:
Namechk
Sources
https://seintpl.github.io/NAMINT/
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