Overlay the solar eclipse and weather with Flowx

Hacker News

Hi HN, I'm the developer of Flowx, an Android weather app, and I've just added the solar eclipse path and shadow to the app. So now you can plan where to find stable high pressure systems and clear skies for the 21st of August. I believe this is the only app to show the long term weather forecast and eclipse together. Here is demo video: https://www.youtube.com/watch?v=qtqeE-O0Tfk Notice, the app is currently showing a demo eclipse date (7/8/17) so people can try it out. The real eclipse data will start showing 10-days prior to the real eclipse. Our website is: http://flowx.io Google Play link: https://play.google.com/store/apps/details?id=com.enzuredigi... Cheers, Duane.

Visit product View on Hacker NewsAug 3, 2017

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

70%70% 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.

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% 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

33%33% 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

23%23% 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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