@gauripathak-vc8um Competitors: 5 Similar YouTube Channels Compared

The honest framing first — @gauripathak-vc8um isn't in a clean, single niche the way "a cooking channel" or "a Fortnite channel" is. It's a UPSC aspirant running #livestudywithme content with a side of shorts, sitting at 1,260 subs after 742 uploads. That upload-to-sub ratio (roughly 0.59 videos per subscriber gained) is rough, and it's actually the most useful lens for reading this competitor set. The five channels below all live in that same 1K–2.5K "early grind" bracket, but almost none of them overlap on actual viewer intent. So the comparison is less "who's stealing your audience" and more "who else is stuck in the same algorithmic weight class, and why."

@SANGEETA-7744 (1,130 subs, 832 videos, India) is the closest mirror on the raw numbers. Sangeeta has uploaded 90 more videos than Gauri and has 130 fewer subs, which tells you something — both channels are posting at high volume with the algorithm shrugging back. The content angle is totally different though: Sangeeta's bio mentions comedy, entertainment, and jokes, not study content. The reason to watch Sangeeta alongside Gauri isn't content overlap, it's pattern recognition — two India-based creators grinding 700+ uploads to land under 1,500 subs is a case study in why volume without a tight niche signal flattens out. Follow Sangeeta if you want to see what "general entertainment" looks like at this scale.

@Painxfps (1,370 subs, 736 videos, India) is the sneakiest comparison in the set. Almost identical video count to Gauri (736 vs 742), slightly more subs, and also India-based. But Pain is an FPS gaming streamer doing "epic clips and crashing out by bad aim" — completely different audience. What's interesting is that Pain is pulling ahead despite the same upload volume, which probably reflects gaming's broader baseline demand vs the narrower UPSC live-study audience. Worth checking if you want to see how a gaming creator at the same upload cadence packages thumbnails and titles — there's transferable craft there even when the topic isn't.

@Deep.Love.Journey (1,040 subs, 318 videos, Germany) is the outlier on cadence. 318 videos to land at 1,040 subs is roughly half the upload volume of Gauri for 80% of the subs — a better ratio, but on a totally different content type (romantic AI-narrated love stories, looks like). The Germany location is also notable; that's a different recommendation graph than Gauri's likely India-heavy serve. Follow this one not for the niche overlap but to see what fewer-but-longer-form content looks like in the same sub bracket. Could be coincidence, but their tighter focus seems to be doing more work per video.

@Manga-Fun-1 (2,230 subs, 28 videos, Spain) is the channel I'd actually study hardest. 28 videos to hit 2,230 subs — that's a sub-per-video ratio roughly 47x better than Gauri's. The bio mentions "Heartbeat Novels" and cinematic love stories, so it's likely AI-narrated romance content benefiting from a hot 2026 format. This isn't a competitor in any traditional sense — it's evidence that format choice can outweigh effort, which is a harsh but useful thing to sit with if you're 742 uploads deep on a different format.

@BlueMonsoonGaming (2,240 subs, 744 videos, UK) is the closest peer by upload count (744 vs Gauri's 742) but with nearly 2x the subs. Battlefield content, daily shorts, weekly long-form. The interesting read here is that two creators uploading the same volume can land 1,000 subs apart depending on niche demand and geo. UK gaming audience pulls different algorithmic weight than India-based UPSC study content, and that's not a thing you can fix with effort — only with format pivots.

If you watch @gauripathak-vc8um, you should probably also look at @SANGEETA-7744 for the parallel grind story, @Manga-Fun-1 for the "format > volume" lesson, and @Painxfps if you want to see what an India-based creator looks like when the same upload cadence breaks through a little faster. The honest takeaway across this whole set: at 1K–2K subs, the channels that pulled ahead did less, not more.