The World Now

The World Now

TrustMRR

The World Now is a real-time global intelligence platform that tracks conflicts, natural disasters, and geopolitical events on an interactive 3D globe. Our flagship feature, Catalyst, uses AI to analy

The World Now is a real-time global intelligence platform that tracks conflicts, natural disasters, and geopolitical events on an interactive 3D globe. Our flagship feature, Catalyst, uses AI to analyze how world events impact 28 financial assets — crypto, forex, equities, and commodities — with multi-timeframe market predictions. Live trackers cover earthquakes, wildfires, hurricanes, volcanic eruptions, and active conflicts worldwide. Built for traders, analysts, and anyone who needs to und

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Actual performance

8customers
$23MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating25
MRR growth 30d+28.5%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, 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
65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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