Creator · youtube

@LOGIKAL

Introducing Logikal, GIKI’s first-ever podcast series brought to you by the Microsoft Club at GIKI. Logikal takes you on a journey through university life, From academics to extracurricular activities, we've got it all covered. Tune in as we bring on board students, alumni, and faculty to share their experiences and insights. Get ready for some exciting conversations, and some not-so-random musings! The crux of Logikal is a clear one: we stand for diversity and inclusivity. Our vision is to do away with boundaries within the GIKI community holistically and sustainably. Also, To create a holistic space for the many forms of educational, intellectual, and artistic expression. We’re also open to anyone who wants to come up and share their story which they think might inspire someone! or maybe take it as a safe place to express yourself and seek help from the community on issues/problems pertaining to you. Subscribe to our channel to stay updated on our latest episodes.

283followers432median recent views · n=15 posts320 · 0.7×best post · Cursor · vs own median1apps in the library · 0 with a standing program1posts audited
2025-11audited posts / month2026-10
Who they post for1 apps · public relationship evidence

0 standing programs, 0 ambassador-level feeds and 0 disclosed paid relationships in this sample. Repeated posting describes dedication; it does not prove a fee.

CursorCoding & app building · 1 posts audited
Unknownunverified relationship
Recent feed1 of 14 posts mention it
3202025-12-10
“In conversation with Cursor AI Ambassador | Yahya Qureshi” names the guest as an ambassador, not uploader LOGIKAL; the uploader’s commercial relationship is unverified — https://www.youtube.com/watch?v=str5Wh2URwY The post that identifies it →
The script they keep usingcounted from 1 audited posts
How they openNo script structure has been classified in this sample.
Audited posts1 in sample · ranked by views · hover a frame to scrub

Followers, medians and views as captured in the research release. A multiple compares the post to the creator’s own recent median. Relationship labels describe the public evidence, never the amount paid. Definitions in the methodology.