Live website intelligence
GitHub - Nevcairiel/LAVFilters: LAV Filters - Open-Source DirectShow Media Splitter and Decoders
LAV Filters - Open-Source DirectShow Media Splitter and Decoders - Nevcairiel/LAVFilters
Last refresh
Updated 16d ago
Analyst read
Professional
#3.5M global rank8/100 trustTechnology & ComputingStale snapshot
Detected stack
React
Quick read
How to read 1f0.de quickly
1f0.de looks like technology & computing. Traffic signals point to roughly 6.7K monthly visits. Current AI trust scoring is 8/100.
What to do next
- The stack appears to include React.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
40/56 fields populated (71%)
Providers with missing fields
ads: 0/5publisher: 3/5files: 2/3whois: 0/6radar: 2/4
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 10/10
All expected fields present
whois: 0/6
Missing: whois.registrar, whois.createdAt, whois.expiresAt, whois.nameservers, whois.status, domainAgeYears
radar: 2/4
Missing: categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Business signals help answer “is this a real opportunity?”
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
- Trust score and sentiment are your first risk screen.
- Business summary and audience notes speed up qualification.
- Ads and monetization patterns reveal how the site captures value.
Business Intelligence
Business Profile
A GitHub repository page for LAV Filters, an open-source DirectShow media splitter and decoder project maintained by Nevcairiel.
Business ModelOpen-source software
Target AudienceSoftware developers, media software enthusiasts, and advanced users working with Windows media playback pipelines.
Classification
CategoryTechnology & Computing
Sub-CategorySoftware
GitHubOpen SourceMedia DecoderDirectShowDeveloper ToolsLAV Filters
Trust & Risk
Trust Assessment
Trust Score8/100
SentimentProfessional
Spam DetectionClean
Publisher Monetization
ads.txtFound
Monetization Signals
has_ads_txthas_ad_systems
AI Visual Analysis
Design StyleCorporate
VibeProfessional
UI Score8/100
Detected Logo TextGitHub
IAB Taxonomy
IAB CategoryTechnology & Computing
IAB Sub-CategorySoftware
Confidence97%
GitHubOpen SourceMedia DecoderDirectShowDeveloper ToolsLAV Filters
Business Insights
Business Model
Open-source software model detected
Trust Level
Low trust with 8/100 score
Audience
Software developers, media software enthusiasts, and advanced users working with Windows media playback pipelines.
Keep exploring
Keep exploring from this report
Good pSEO pages should not strand the visitor. These links keep the journey moving through adjacent directories and comparable live reports.
Browse Technology & Computing sites
Move from this single report into the broader market cluster.
Browse Software sites
Use the topic route when audience and editorial intent matter more than category.
Browse React websites
Pivot from one domain into a stack-based discovery path.
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