Wa

Waulog – A digital companion for dog owners

Hacker News

Waulog – A digital companion for dog owners

I've built Waulog ( https://waulog.com ), a web app to help dog owners track their pets' health and activities. It features: - Activity logging (walks, meals, etc.) - Health monitoring (weight, vomits, feeding schedule) - Family sharing for coordinated care - QR code profiles for lost dogs - 100% Free As a dog owner, I created this to solve my own pain points. I'd love feedback from the HN community, especially on: 1. Additional features you'd find useful 2. UX improvements 3. Privacy concerns and how to address them Any thoughts or suggestions are appreciated!

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Actual performance

16points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
62%62% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: activity, code · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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 · Missing: mobile apps, ios, personal
39%39% 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
30%30% 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
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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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