We found 35 YouTube channels similar to mtainfo
Both target public transit operations and metro systems with high search overlap (public transit operations, urban transit authority) and similar content focus on how transit networks operate, yielding an 85% match with strong search alignment (100%) and solid content similarity (75%).
Shares transit planning and infrastructure topics (public transit operations, city transit planning) with mtainfo, providing a moderate overall match (58%) driven by lower search alignment (42%) but higher content similarity (70%).
Addresses transit infrastructure and bus network redesign like mtainfo, resulting in a mid-level connection (50%) with very low search overlap (6%) but high content similarity (80%), indicating aligned topics but a smaller audience reach.
Covers rail and bus networks and transit infrastructure projects, mirroring mtainfo’s focus; overall 50% match driven by modest search overlap (15%) and strong content similarity (73%), suggesting shared topics but different audience focus.
Centers on public transit operations and bus network planning, aligning with mtainfo’s topics; 49% overall match with moderate search overlap (11%) and solid content similarity (75%).
Focuses on bus network redesign and planning similar to mtainfo; 49% overall match with minimal search overlap (7%) but high content similarity (76%), indicating topic alignment with a smaller audience signal.
29 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 48% | City Planner Plays | 72% | 897K | 12% | 7 |
| #8 | 47% | ScotRail | 74% | 8.4K | 8% | 2 |
| #9 | 47% | PIX11 News | 72% | 341K | 10% | 8 |
| #10 | 47% | CBS New York ▶ | 68% | 1.2M | 15% | 10 |
| #11 | 47% | Railways Explained ▶ | 71% | 128K | 11% | 4 |
| #12 | 47% | Bright Trip | 70% | 144K | 11% | 2 |
| #13 | 46% | Railways Africa Magazine | 71% | 5.2K | 8% | 1 |
| #14 | 46% | Staten Island Advance | 72% | 71.9K | 6% | 3 |
| #15 | 46% | The Wall Street Journal ▶ | 64% | 6.6M | 18% | 9 |
| #16 | 45% | Emergency Vehicles | 71% | 7.8K | 7% | 1 |
| #17 | 45% | imperatur | 69% | 334K | 9% | 3 |
| #18 | 44% | Tales from the S-Bahn | 69% | 11.4K | 7% | 1 |
| #19 | 44% | Not Just Bikes ▶ | 69% | 1.4M | 7% | 4 |
| #20 | 44% | City Beautiful ▶ | 67% | 739K | 8% | 4 |
| #21 | 43% | pianoluvr2006 | 67% | 11.9K | 8% | 1 |
| #22 | 43% | MIT OpenCourseWare ▶ | 65% | 6.2M | 11% | 3 |
| #23 | 43% | Prince William County | 67% | 9.1K | 8% | 1 |
| #24 | 43% | PlanningWebcastSeries | 67% | 6.5K | 7% | 2 |
| #25 | 43% | CNBC ▶ | 62% | 4.1M | 14% | 6 |
| #26 | 43% | The B1M ▶ | 66% | 4.0M | 8% | 4 |
| #27 | 42% | Nubioo | 66% | 13.9K | 7% | 1 |
| #28 | 42% | WIRED ▶ | 65% | 12.8M | 8% | 1 |
| #29 | 42% | Microsoft in Business | 64% | 37.9K | 8% | 1 |
| #30 | 42% | WTVR CBS 6 | 66% | 292K | 7% | 1 |
| #31 | 42% | Modern MBA | 64% | 782K | 9% | 3 |
| #32 | 41% | Dominic O'Neal Brown ▶ | 64% | 96.4K | 7% | 1 |
| #33 | 41% | TEDx Talks ▶ | 63% | 44.2M | 7% | 4 |
| #34 | 40% | Watch Repair Tutorials | 62% | 61.9K | 7% | 1 |
| #35 | 40% | Institute for Pure & Applied Mathematics (IPAM) | 61% | 40.6K | 8% | 1 |
RMTransit — 85% match, 346K subscribers; Urban Planner Explained — 58% match, 50.7K subscribers; Joint Transit Association — 50% match, 22.5K subscribers. All three channels cover public transit topics and urban transportation planning, similar to mtainfo's focus on MTA and NYC transit.
mtainfo creates transit-focused content, with video titles like Farewell, MetroCard; Modern fare gates are being installed; MTA Sounds of the Snowstorm; Working Through Winter Weather; Tap and Ride 7-Day Unlimited Benefits, indicating topics on fare systems, transit technology, weather impacts, and service updates. The channel averages about 14.4K views per video, and the channel has 58K subscribers; upload frequency is described as approximately a weekly cadence (average uploads per week not explicitly stated, but implied by recent video list).
We analyze mtainfo's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
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