GeoBoost

TrustMRR

GeoGuessr Boost is a Chrome extension for GeoGuessr and OpenGuessr practice or private rounds. Press G in a supported round to see the location, open a map preview, and optionally place the pin. Free

GeoGuessr Boost is a Chrome extension for GeoGuessr and OpenGuessr practice or private rounds. Press G in a supported round to see the location, open a map preview, and optionally place the pin. Free users get starter guesses and daily use; Pro adds unlimited use, Smart Zoom, Range, and Auto Place controls. Independent product, not affiliated with GeoGuessr.

Visit product View on TrustMRRJun 16, 2026Games Services B2C

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Actual performance

7customers

$69MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating18

MRR growth 30d+25.8%

Launch Intel predictions

Analyze your own launch →

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

20%20% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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