Ma
Mapping 11M points with Tile38 – Mapbox/Geonames
Hacker NewsMapping 11M points with Tile38 – Mapbox/Geonames
Share cardActual performance
51points
11comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ma
Mapping Manhattan's vacant storefronts44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mapping Manhattan's vacant storefronts
Hacker News4Pr
Projection Mapping with HTC Vive44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Projection Mapping with HTC Vive
Hacker News3Ex
Exploring bump mapping with WebGL57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Exploring bump mapping with WebGL
Hacker News12Ma
Mapping and Analysing Subreddits63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mapping and Analysing Subreddits
Hacker News21Ge
GenoRxiv – Mapping scientific literature on the genome62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GenoRxiv – Mapping scientific literature on the genome
Hacker News3Ma
Mapping Tornadoes w/ D348%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mapping Tornadoes w/ D3
Hacker News6Ma
Mapping the middle of nowhere with D3 and lasercutting46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mapping the middle of nowhere with D3 and lasercutting
Hacker News1A
A quadratic curve interpolating 3 points41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A quadratic curve interpolating 3 points
Hacker News2Gr
Graphical Data Mapping with Arrays48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Graphical Data Mapping with Arrays
Hacker News2Curricular52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curriculum Mapping and Accreditation Management
Indie Hackers1analytics