Wuwapal.com: Your Ultimate Companion for Wuthering Waves Fans

Hacker News

Hey HN, I’m excited to share WuWaPal.com, a fun passion project for all things Wuthering Waves! Whether you're tracking pulls, checking global stats, or diving into the new Collector's Hub, WuWaPal has got you covered. Here’s what’s live right now: Convene Tracker: Easily track your pulls and manage history. Collector's Hub: Showcase your collection like a pro. Global Pull Stats: See how the community is performing. Cloud Sync (Beta): Sync your data securely with Google Drive. Ongoing Banner Tracking: Stay up-to-date with real-time banner details. Recent Updates: Roccia, Tragicomedy, and Youhu added to the roster. New tools like Manual Backup, Timeline Section, and Multi-Profile Support. Revamped website design for a smoother experience. Whether you’re a hardcore player or a casual fan, WuWaPal is the perfect way to enhance your Wuthering Waves experience. This is just the beginning—more exciting features are on the way, and I’d love to hear your ideas! Feedback? Ideas? Let’s chat on Discord( https://discord.gg/DFKG4nqUD4 )! Check it out: WuWaPal.com Cheers, A Fellow Rover

Visit product View on Hacker NewsJan 27, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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.

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

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

Product HuntUnlikely to reach the leaderboard · Strong signals: google, new · Missing: mac, agents, macos

34%34% 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: excited, ide, io · Missing: https docs, just released, exist

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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