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Analytics for Cloudflare – native app for iPhone, iPad and Mac

Hacker News

Analytics for Cloudflare – native app for iPhone, iPad and Mac

Hi, happy holidays. I recently launched Analytics for Cloudflare, a native app for iPhone, iPad & Mac to show Cloudflare Analytics data wherever you go. I am looking forward to some feedback on the app as well as any features you would like to see in the future. Enjoy, — Alex Btw, here are some promo codes to download the app for free on the App Store (first come, first served): * H77E6FXKE9ML * YR9P76TEWWAN * T39WTYPLPMHF

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, code · Missing: agents, macos, agent
89%89% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
28%28% 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
21%21% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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