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itszn

@itszn13

Amy | Security researcher @ OpenAI | | bsky: | LLM ART:

  • Based in United States
  • Posts in English
itszn13.profile
itszn
AI researchLLMsCybersecurity
Followers
12,359
Median views / post
23,215
Engagement / views
1.55%
Own posts in sample
8

Observed 27 Oct 2026 · Saved sample, up to 20 own posts.

Ways to collaborate

Give your launch
a familiar voice.

Start with a Boost. Choose the formats that fit your product and budget.

quote.exe

Quote post

Your launch, with their perspective.

€145per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€205per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€60per collaboration
Plan a repost
comment.exe

Comment

Add a voice to the conversation.

€45per collaboration
Plan a comment

Chals Channel rates in EUR, before taxes. The platform fee is added to the creator budget according to your plan. See plans ↗

Behind the profile

Get to know the work.

itszn publishes in English about AI research, LLMs, Cybersecurity.

Use the topics and the recorded sample to compare this profile with the rest of your shortlist. Match the creator to your product, then build the campaign in your assistant.

How to read these numbers

These are saved observations from up to 20 own posts, not live measurements or a complete calendar period. Median views describe the sample, not promised campaign reach. Engagement is measured against views. A creator’s location does not establish the location of their audience.

a_post_from_the_sample.exe

An example of their content

php2shell is the most consequential vulnerability I have ever helped discover. I am proud of how our team worked closely…

109,076 recorded views

Read the original on X ↗

A practical launch guide

Find vulnerability research creators with ChatGPT: the itszn example

For vulnerability research workflows, a useful creator shortlist starts with the product task you need to explain. This profile pairs @itszn13's saved catalog observations with an editorial reading of the work, a budget example and a prompt you can adapt. The profile is public catalog research, not a creator endorsement or a confirmed collaboration.

When is @itszn13 relevant to vulnerability research workflows?

The saved bio identifies security research and the sample describes coordinated vulnerability work. A research-tool launch should explain reproducibility, triage and responsible coordination. Do not restate the sample as a current advisory or imply the creator has reviewed a new product.

How can I compare this profile in Claude or ChatGPT?

The observation dated 2026-10-27 records 12,359 followers, 23,215 median views per sampled post and 8 own posts in the saved sample. These fields answer different questions: followers describe account size, while median views summarize those particular sampled posts. They do not estimate unique people reached or current weekly activity.

@Jhaddix has 21,104 median views in a saved sample of 12 own posts. @moxie has 26,034 median views in a saved sample of 15 own posts. Review the topics and linked work before preferring a larger number. The observations may have different dates and sample sizes; they are not a controlled campaign comparison.

What would one quote post mean for the creator budget?

The saved Chals Channel quote-post rate for @itszn13 is €145. In an illustrative €1,000 creator budget, that is 14.5% and leaves €855 for other collaborations. This is arithmetic about creator spend, before the platform fee and taxes; it is not a campaign-reach forecast. Compare the original-post, repost and comment rates above before choosing a mix.

Start with a Boost if you will publish the main launch post yourself. Quotes add a creator's perspective, comments add discussion and reposts reshare the original. Planning and comparison are free in Chals Channel; a booking needs your review and confirmation on its website.

What should my vulnerability research workflows launch brief contain?

Use a synthetic or authorized example and show how a finding is verified before disclosure.

Give the assistant your product, intended users, launch time and creator budget. Ask it to explain the inclusion and exclusion criteria, keep unknown audience information explicit and show a shortlist before creating a campaign. A saved location describes the creator, not the geography of their audience.

Try this in your assistant

Use Chals Channel to find vulnerability research creators with ChatGPT. My product is [describe product], for [intended users]. Compare @itszn13 with @Jhaddix and @moxie using topic fit, sample dates, median views, sample sizes and rates. For the brief: Use a synthetic or authorized example and show how a finding is verified before disclosure. Ask for my budget and launch date, propose Boost first and keep booking for my review on the website.

By Chals Channel · Editorial updated . Profile observations: 27 Oct 2026. How campaigns work ↗

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