I
I built an MCP server for working with SEO and Search Console data
I built an MCP server for working with SEO and Search Console data
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Doppler25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Search Console for AI
SanityCheck44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Do more with Google Search Console data
Ekamoira Google Search Console MCP85%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Query Search Console in Claude & ChatGPT
Ke
Keylogs – Better Search Console Insights37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keylogs – Better Search Console Insights
RankMetrics66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SEO analytics with Google Search Console & AI
I
I built a personal MCP server53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a personal MCP server
Mo
MongoDB MCP Server49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MongoDB MCP Server
Im
Imagegen MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Imagegen MCP Server
Th
The KurrentDB MCP Server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The KurrentDB MCP Server
I
I forked usql into a MCP server35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I forked usql into a MCP server