Launch Intel
GCalSync

GCalSync

TrustMRR

Stop getting double-booked. Your coworkers can't see your personal calendar. So they schedule over your doctor's appointment. Again. GCalSync replicates your events across calendars so everyone sees w

Stop getting double-booked. Your coworkers can't see your personal calendar. So they schedule over your doctor's appointment. Again. GCalSync replicates your events across calendars so everyone sees when you're actually busy.

Visit productView on TrustMRRNov 8, 2025ProductivityInternetpolar
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Actual performance

3customers
$30MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating2
MRR growth 30d+100.0%

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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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