Felt creates content around making maps, apps, and dashboards using a cloud-native GIS platform, focusing on geospatial data analysis, web mapping, and data integration. The channel emphasizes tutorials and feature guides (e.g., Felt UI tour, pricing, H3 indexing, data integrations) with a mix of explainer videos and quick how-tos, and it averages about 2.6K views per video. Felt has 176 videos and has been active since Oct 17, 2022, with a total of 591.4K views and 8.3K subscribers.
geospatial data analysiscloud GIS platformgeospatial visualization
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.
geospatial visualizationgeospatial data sourcesGIS data integration
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.
GIS data integrationspatial data formatsspatial ETL processes
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.
web mapping platformmap styling best practiceslocation intelligence platforms
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.
web mapping platformcloud GIS tutorialscloud based GIS
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.
Content Landscape
Top competitors include Matt Forrest (83% match) and Spatial Zone (54% match), both sharing overlapping queries with Felt such as geospatial data analysis, cloud GIS platform, and geospatial visualization. FME Channel (54% match) also competes due to GIS data integration and spatial ETL topics. Google Maps Platform (49% match) and Esri Events (49% match) further compete on web mapping platforms and cloud GIS tutorials. Felt has 8.3K subscribers, while competitors range from about 9.5K (Spatial Zone) to 55.4K (Esri Events) and well over 40K (Google Maps Platform), indicating larger audiences but overlapping content themes around geospatial visualization, data integration, and cloud-based GIS tools.
geospatial data analysisweb mapping platformcloud GIS platformgeospatial visualizationspatial indexinggeospatial data sourcesmap rendering toolsGIS data integrationspatial data managementgeospatial dashboardsmap data analyticscloud GIS tutorialsgeospatial data on mapsH3 spatial indexpostgresql geospatialgeospatial data workflowsbasemap design tipsinteractive map dashboardscloud based GISreal time mapping analyticsspatial data formatsmap styling best practicesgeospatial data modelingDB geospatial indexingweb GIS developmentspatial ETL processesmap tile generationgeospatial data governancelocation based analytics3D mapping techniquesgeospatial performance optimizationgeospatial API designopen source GIS toolsdata visualization for mapslocation intelligence platforms
Frequently Asked Questions
Which YouTube channels are most similar to Felt?
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.
What type of content does Felt make?
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.
How do we determine which channels are similar to Felt?
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.