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Andrew Qu

@andrewqu

▲ @vercel | no skill issues | is agentic

  • Based in United States
  • Posts in English
andrewqu.profile
Andrew Qu
AI agents
Followers
8,059
Median views / post
2,132
Engagement / views
1.81%
Own posts in sample
17

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.

€95per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€135per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€40per collaboration
Plan a repost
comment.exe

Comment

Add a voice to the conversation.

€30per 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.

Andrew Qu publishes in English about AI agents.

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

we did invent it and it's called OIDC federation vercel and github actions do it: - each deploy gets a…

66,514 recorded views

Read the original on X ↗

A practical launch guide

Federated identity for deployment workflows: the @andrewqu comparison

For federated identity for deployment workflows, use ChatGPT with Chals Channel to compare @andrewqu against profiles with related work. The saved identity example distinguishes scoped short-lived access from stored credentials. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @andrewqu relate to federated identity for deployment workflows?

The saved catalog associates this profile with AI agents. The saved identity example distinguishes scoped short-lived access from stored credentials.

Show the identity exchange, permission scope and expiry behavior. Check the linked original example and the profile bio for context. A prominent personal or unrelated post should not be treated as evidence about a technical product or buyer demand.

What should Claude or ChatGPT compare?

The observation dated 2026-10-27 records 8,059 followers, 2,132 median views per sampled post and 17 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@ChristianLempa is catalogued with AI agents, Backend & cloud; its saved sample has 2,027 median views across 20 own posts, observed 2026-10-21. @posva is catalogued with Web development, AI agents; its saved sample has 2,251 median views across 19 own posts, observed 2026-10-21. Compare the linked work and the product explanation before preferring a larger figure. Different observation dates and samples are not a controlled campaign comparison.

What do the saved format rates mean for a launch?

The saved quote-post rate for @andrewqu is €95. In an illustrative €1,000 creator budget, one quote uses 9.5% and leaves €905. A quote plus one comment from this profile would use €125 of creator spend. These are arithmetic examples using the listed formats, before account-specific platform fees and tax; they are not reach forecasts or confirmed creator participation.

Start with Boost when your brand owns the main launch post: a quote adds a perspective, a comment adds discussion and a repost reshares the original. Use a sponsored original when the explanation needs its own post. Research and planning are free; review the actual booking on the Chals Channel website.

How can I prepare a brief for federated identity for deployment workflows?

Show the identity exchange, permission scope and expiry behavior. Give the assistant the product, intended user, launch date, time zone and creator-spend ceiling. Ask what evidence is still missing before it recommends a shortlist.

Keep the observed profile data separate from the proposed demonstration. The saved sample is not live analytics, a creator location is not audience geography, and a public listing does not establish availability or endorsement.

Try this in your assistant

Use Chals Channel to compare X creators for federated identity for deployment workflows with ChatGPT. My product is [product], used by [intended user] for [task]. Compare @andrewqu with @ChristianLempa and @posva. For the brief: Show the identity exchange, permission scope and expiry behavior. Explain the fit and exclusion reasons, show observation dates and sample sizes, and compare listed format rates. 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 ↗

Compare more creators · Connect Claude · Connect ChatGPT

your_next_launch.exe

Your product. Your shortlist.

Make Andrew
part of the plan.

Compare creators, set your budget and build a Boost campaign in Claude or ChatGPT. Planning is free.

Connect your assistant

Connect Chals Channel

Add the connector in your assistant and sign in, then paste the launch prompt. Custom connections depend on your account and workspace permissions.

Claude

https://chalschannel-marketplace-73388336062.europe-west1.run.app/mcpOpen Claude ↗

ChatGPT

https://chalschannel-chatgpt-manual-73388336062.europe-west1.run.app/mcpOpen ChatGPT ↗

Review and confirm any booking on the Chals Channel website.