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GradCalc, a Android Utility for K12 Admins and Parents

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GradCalc, a Android Utility for K12 Admins and Parents

My 2nd Android app is released. GradCalc is a simple utility to find projected gradation years of students based on their current grade. Great for K12 admins or techs that need to make user accounts, but are tired of wasting paper to make a year chart. Also good for parents to see when their child is expected to graduate. Note: App is based off of 2014-2015 school year to be useful to admins using it over the summer for user accounts. Please check out, test, rate, and/or review it and offer any insightful feedback. If a problem is found, please include device type and Android OS version. Thank you in advance! Download your copy at: https://play.google.com/store/apps/details?id=com.mkelleyjr.k12gradecalc

Visit productView on Hacker NewsMay 31, 2014
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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
43%43% predicted probability of success on AppSumo, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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