CS2 Crosshair database
Discover thousands of CS2 crosshairs from pro players.
CS2 crosshair database is created to help CS2 players find their perfect crosshairs more easily. CS2 crosshair database collects crosshairs used by pro players in every match and crosshairs shared by community players.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
BesinAnaliz – Turkish Food Database27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover nutrition facts for thousands of foods
Sh
Share & discover thousands of Stable Diffusion workflows69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Share & discover thousands of Stable Diffusion workflows
printblame42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thousands of free printables.
BesinAnaliz – Food Nutrition Database63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover nutrition facts for thousands of foods
Su
SummaDB, a hierarchical database that syncs with PouchDB60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SummaDB, a hierarchical database that syncs with PouchDB
No
Noms – The versioned, forkable, syncable database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Noms – The versioned, forkable, syncable database
A
A reactive Database61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A reactive Database
A
A reactive Database61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A reactive Database
Di
Digestable Ingredient Database68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digestable Ingredient Database
Ne
NebulaDB, my first attempt at a database63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NebulaDB, my first attempt at a database