We found 44 YouTube channels similar to Felt
Both target geospatial data analysis and cloud GIS platforms with high search overlap (100% for queries) and similar audience, though Felt’s content style diverges from Matt Forrest’s 72% content alignment.
Shares a focus on geospatial visualization and GIS data integration, reflected by high content similarity (72%) but lower search alignment (28%), indicating overlapping topics but a different audience intent.
Both emphasize GIS data integration and spatial ETL processes, with substantial content similarity (76%) but moderate search overlap (21%), suggesting similar topics delivered in a distinct format.
Aligns on web mapping and location intelligence discussions, shown by notable content overlap (73%) yet lower search alignment (13%), indicating similar topics but broader audience reach.
Centers on cloud GIS tutorials and cloud-based GIS within web mapping, yielding medium search overlap (13%) and strong content similarity (72%), pointing to related topics delivered differently.
Cheeves into spatial indexing and interactive maps with high content similarity (73%), but modest search overlap (11%), signaling topic alignment with a distinct audience emphasis.
38 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 48% | Native GIS | 72% | 3.1K | 13% | 5 |
| #8 | 48% | Salmaan Mohamed | 66% | 85.6K | 20% | 6 |
| #9 | 48% | Jordan has no life | 71% | 111K | 13% | 6 |
| #10 | 48% | Esri Industries | 71% | 26.9K | 13% | 7 |
| #11 | 47% | Geospatial World ▶ | 72% | 79.8K | 11% | 5 |
| #12 | 47% | Atlas | 74% | 2.2K | 6% | 4 |
| #13 | 47% | Open Geospatial Solutions | 72% | 60.1K | 9% | 4 |
| #14 | 46% | GIS Developer | 73% | 1.5K | 7% | 5 |
| #15 | 46% | Mapbox | 74% | 13.1K | 5% | 2 |
| #16 | 46% | ArcGIS | 72% | 85.3K | 6% | 3 |
| #17 | 45% | Mr Cognito | 68% | 12.3K | 12% | 5 |
| #18 | 45% | Google Earth | 72% | 310K | 5% | 1 |
| #19 | 45% | How to Power BI | 70% | 756K | 7% | 5 |
| #20 | 45% | OpenStreetMap US | 71% | 2.8K | 6% | 3 |
| #21 | 45% | Mango Map | 69% | 2.5K | 9% | 3 |
| #22 | 45% | Databricks | 68% | 154K | 9% | 4 |
| #23 | 44% | Kinetica | 70% | 1.1K | 6% | 3 |
| #24 | 44% | GISWorld | 70% | 6.4K | 5% | 1 |
| #25 | 44% | Dassault Systèmes | 66% | 88.3K | 11% | 3 |
| #26 | 44% | PyData | 69% | 171K | 6% | 1 |
| #27 | 44% | Supabase | 69% | 74.7K | 5% | 2 |
| #28 | 43% | DATA JARVIS | 68% | 4.0K | 5% | 1 |
| #29 | 43% | ByteByteGo ▶ | 66% | 1.4M | 7% | 5 |
| #30 | 42% | Data Wizardry ▶ | 67% | 21.4K | 5% | 1 |
| #31 | 42% | IBM Technology ▶ | 64% | 1.6M | 9% | 4 |
| #32 | 42% | Geospatial School | 66% | 31.8K | 5% | 1 |
| #33 | 41% | Tejjy Inc. | 66% | 4.8K | 4% | 1 |
| #34 | 41% | Hello Interview - SWE Interview Preparation | 64% | 169K | 7% | 5 |
| #35 | 41% | Analytics Vidhya | 64% | 141K | 6% | 1 |
| #36 | 41% | Deep Charts | 65% | 12.3K | 5% | 2 |
| #37 | 41% | Vision IAS | 62% | 1.8M | 10% | 5 |
| #38 | 41% | Motion by Nick (Nick Greenawalt) | 64% | 68.6K | 5% | 1 |
| #39 | 40% | Inbound Shovel | 64% | 191K | 5% | 1 |
| #40 | 40% | Sajid | 63% | 141K | 5% | 1 |
| #41 | 39% | Kevin Stratvert ▶ | 63% | 4.2M | 5% | 3 |
| #42 | 39% | IICA Computer Education | 62% | 239K | 5% | 2 |
| #43 | 39% | Tutorial Toolkit | 62% | 5.6K | 5% | 1 |
| #44 | 37% | Vidya-mitra ▶ | 58% | 729K | 5% | 2 |
Matt Forrest — 83% match, 41.3K subscribers; Spatial Zone — 54% match, 9.5K subscribers; FME Channel — 54% match, 12.6K subscribers. These channels are Felt's biggest competitors on YouTube, with similar content focus on geospatial topics and mapping technology, and they have substantial subscriber bases. They share a common interest in geospatial software, data analysis, and mapping workflows.
Felt creates content around geospatial software and mapping, including introductions to Felt, UI tours, feature showcases, pricing guides, and tutorials like using H3. They upload multiple videos with an average of about 2.6K views per video, and the list of recent videos shows several uploads spanning features, guides, and new capabilities.
We analyze Felt'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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