Tool suggestion: Lullar — free profile search by email, name or username

Suggesting **Lullar** for the toolkit. Draft entry below follows the toolkit template structure — feel free to use, edit or discard any of it.

## URL

https://com.lullar.com/

## Description

Free people-search engine online since 2009 — searches 175+ social platforms by email address, username, or first/last name; no signup, no payment. Useful as a first-pass pivot before Maigret/Sherlock, and one of the few free tools that does email-to-profile lookups.

## Cost

* [x] Free
* [ ] Partially Free
* [ ] Paid

## Level of difficulty

Beginner — enter an email, username or name in the browser and open the generated profile links.

## Requirements

None. No account, API key or installation required.

## Limitations

- Generates candidate profile URLs per platform rather than confirming account existence, so results need manual verification (a hit is a starting point, not proof).
- Common usernames/names produce false positives across platforms.
- Coverage depends on each platform's public profile URL structure; sites that removed public profiles won't yield results.

## Ethical Considerations

As with any people-search tool, results identify real individuals — use only for legitimate research and consider privacy and potential harm before publishing findings about private persons.

## Guides and articles

The site includes usage guides at https://com.lullar.com/en/guide

## Tool provider

Lullar, independent tool, online since 2009.

## Similar tools

WhatsMyName, Sherlock and Maigret check username existence more rigorously but don't do email- or real-name-based lookups; Lullar works as a quick browser-based first pass across all three input types.

Disclosure: I run the tool.

Review the toolkit's existing entries and template structure, then use the supplied Lullar URL and draft sections as the source for the new entry. Confirm the description, limitations, ethical considerations, guide link, and disclosure are represented accurately; done means Lullar is documented consistently with the toolkit and its links work.

Written by the indexing model from the issue text.