Tournacat – Sync Esports Schedules to Google Calendar Automatically

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Tournacat is simple a Google Calendar add-on that syncs Sync Esports schedules to Google Calendar automatically. I built Tournacat out of the frustration of the lack of reliability of public calendar for Esports in general. Personally, I've been using this to make plans for watch party at my place weeks in advance. Currently it supports Esports title like Dota 2, LoL, CS:GO, and Valorant. Down the road I'll look into adding more prominent Esports titles.

Visit product View on Hacker NewsMar 18, 2023

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

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

62%62% predicted probability of success on TrustMRR, 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

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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