Or

Orderbook visualization for popular crypto exchanges

Hacker News

Orderbook visualization for popular crypto exchanges

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Strong signals: crypto · Missing: web3, chat, cryptocurrency
84%84% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual · Missing: mac, agents, macos
23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Po
Popular Twitter Hashtags Visualization in Realtime64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Popular Twitter Hashtags Visualization in Realtime

Hacker News7
Vi
Visualization of trading on crypto exchanges (grafana and elasticsearch)70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualization of trading on crypto exchanges (grafana and elasticsearch)

Hacker News7
Qu
QuakeMap – Earthquake visualization61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

QuakeMap – Earthquake visualization

Hacker News3
Bo
Bosnian census visualization61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bosnian census visualization

Hacker News5
Z8
Z80 Compiler Visualization66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Z80 Compiler Visualization

Hacker News109
LL
LLVM profiling visualization55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLVM profiling visualization

Hacker News3
Ex
Exploretrees.sg 2.0 – visualization of all recorded trees in Singapore64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Exploretrees.sg 2.0 – visualization of all recorded trees in Singapore

Hacker News3
Co
Correspondence - visualization of translations43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Correspondence - visualization of translations

Hacker News1
Hy
Hyperlapse Visualization61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hyperlapse Visualization

Hacker News2
De
De Jong Attractor visualization61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

De Jong Attractor visualization

Hacker News15