@vladojoinee Competitors: 5 Channels in the Same Growth Tier Compared
@vladojoinee (5,070 subs, 98 videos) sits in a small AI-education niche that doesn't have obvious head-to-head rivals at this size. The closest comparable channels by sub count are @pixudomain2.0 (8,360), @mariwithteas (9,240), and @exilas8699 (10,000) — though each lives in a very different content world.
Channel data · captured May 14, 2026
- Handle
- @vladojoinee
- Subscribers
- —
- Videos
- —
- Country
- Not listed
Before I get into the channel-by-channel, a quick honest note: @vladojoinee's niche — AI employees, AI agents, founder-y AI content tied to joinee.io — doesn't have a clean set of head-to-head rivals at 5K subs. The five channels below all sit in a similar growth tier (3,340 to 10,000 subs), but most of them are in completely different content worlds. So this isn't a "they're stealing your audience" list. It's more useful as a peer-group map: who else is at this size, what models are they running, and what @vladojoinee can learn from how they upload.
@pixudomain2.0 sits at 8,360 subs with just 21 videos total — which is genuinely interesting. That's roughly 400 subs per video, an order of magnitude better than @vladojoinee's 98-video catalog producing 5,070 subs (about 52 subs per video). The channel is animation, US-based, so the audience overlap with an AI-employees creator is basically zero. But if you're @vladojoinee and you're wondering why your 98 videos haven't compounded harder, this is the channel I'd quietly study. They're clearly leaning on heavy production over upload volume, which is a defensible play in YouTube's current algorithm. Watch them for the strategy, not the topic.
@exilas8699 is the volume play in this set — 10,000 subs across roughly 2,000 videos. That's about 5 subs per video, way below @vladojoinee's per-video pull. They cover Call of Duty weapon showcases and reload animations, a gaming niche with massive search demand and short-form clip potential. Different audience entirely, but the contrast is useful: this channel proves you can hit 10K with a high-volume, low-effort-per-video model in gaming, but the per-video efficiency is brutal. @vladojoinee's slower, more deliberate cadence is probably the right call for a B2B-adjacent topic like AI employees — gaming-style upload volume doesn't translate.
@mariwithteas (9,240 subs, 216 videos, Brazil) is study-tube — cozy aesthetic, romanticizing-the-grind energy, cross-posting to Instagram and TikTok. Not remotely a topical competitor to @vladojoinee, but worth a look because the channel demonstrates something AI-education creators usually under-invest in: a coherent aesthetic and personality wrapping the content. The bio reads like a brand, the visual identity is consistent. @vladojoinee's description is functional ("educating about AI employees") but doesn't carry the same scroll-stopping personality. Could be coincidence that @mariwithteas has nearly 2x the subs on a similar video count, but I'd bet some of that gap is positioning.
@Codemyhobby is the closest thematic neighbor in this set — 4,520 subs, 272 videos, Nigeria-based, focused on web design and JavaScript tutorials. Tech education, individual creator, programming-adjacent audience. The sub count is almost identical to @vladojoinee's 5,070, but the video output is nearly 3x higher (272 vs 98). What that suggests: tech tutorial channels typically lean on volume because each video targets a specific search query. AI-employee content is newer and less search-mature, so @vladojoinee's lower cadence might just reflect a less-mapped keyword landscape. Of all five channels here, this is the one I'd actually compare against for content strategy.
@onlyoyelmax (3,340 subs, 154 videos) — honestly, the channel description here is mostly sub-begging ("MY DREAM 10K SUBSCRIBE"), which usually correlates with low retention metrics and inconsistent content focus. Hard to say what they upload from the bio alone. Smallest channel in this peer set, and not a useful model to study. Including it here for completeness because the scrape returned it, but I wouldn't spend time analyzing this one.
If you watch @vladojoinee for the AI-employees angle, there isn't a clean "watch these next" list at this size — the niche is too new. The honest move is to follow @Codemyhobby for the tech-tutorial cadence parallels, and study @pixudomain2.0's low-volume / high-quality production model as a strategic reference. The others are useful peer benchmarks but not topic substitutes.
Common questions
Who are @vladojoinee's biggest competitors on YouTube?
Honestly, @vladojoinee doesn't have direct competitors in the traditional sense — the AI-employees niche tied to joinee.io is small enough that the scrape pulls in channels with similar sub counts (3,340 to 10,000) rather than similar topics. The closest sub-count peers are @exilas8699 (10,000), @mariwithteas (9,240), and @pixudomain2.0 (8,360), but those are gaming, study aesthetic, and animation respectively. The thematically closest peer is @Codemyhobby at 4,520 subs — both are individual-creator tech education channels, even though one's about AI agents and the other's about JavaScript tutorials.
How does @vladojoinee compare to @pixudomain2.0?
They're in completely different content worlds — @vladojoinee covers AI employees and AI education, while @pixudomain2.0 is a US-based animation channel. The interesting comparison is the production model. @pixudomain2.0 has 8,360 subs from just 21 videos, roughly 400 subs per video. @vladojoinee has 5,070 subs across 98 videos, around 52 subs per video. That's an order-of-magnitude difference in per-video efficiency. The takeaway isn't that @vladojoinee should switch to animation; it's that low-volume, high-production-effort uploads can compound faster than steady output if the videos actually hit.
What channels should I watch alongside @vladojoinee?
If you're watching @vladojoinee for the AI-employees content specifically, the peer set doesn't include obvious "watch next" suggestions — the niche is too new and small. For tech-education cadence comparisons, @Codemyhobby (4,520 subs, web dev tutorials) is the closest fit. For a strategic look at low-volume / high-impact uploads, @pixudomain2.0 (8,360 subs, 21 videos) is worth following. The other three channels in this competitor set — @exilas8699 (gaming), @mariwithteas (study), @onlyoyelmax — aren't topic substitutes. If you want adjacent AI content, you'll need to search outside this peer group entirely.
Is @vladojoinee the biggest channel in their niche?
Hard to say definitively without a full niche scrape, but within this competitor set @vladojoinee is mid-sized at 5,070 subs — bigger than @Codemyhobby (4,520) and @onlyoyelmax (3,340), smaller than @pixudomain2.0 (8,360), @mariwithteas (9,240), and @exilas8699 (10,000). Worth noting these aren't direct niche peers. The AI-employees space is still small and fragmented in early 2026, so there's no clear "biggest channel" benchmark to anchor against. @vladojoinee's 98 videos suggest about two years of consistent output, which is real runway in a young topic.
What's the difference between @vladojoinee and similar creators?
The clearest difference is topic specificity. @vladojoinee is hyper-focused on AI employees and AI agents, tied to a product (joinee.io). The peer-group channels are either broader (@Codemyhobby's general web dev) or in unrelated categories (gaming, animation, study content). Cadence is another split — @vladojoinee's 98 videos over the channel's lifetime is moderate, slower than @exilas8699's 2,000-video volume play but faster than @pixudomain2.0's 21-video premium model. The bigger difference might be branding: most of these channels have stronger personality-driven descriptions, where @vladojoinee's bio is functional but understated.
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