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"Unsealed", My First 'Finished' Rails app, an MTG Sealed Deck Generator

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"Unsealed", My First 'Finished' Rails app, an MTG Sealed Deck Generator

Long time listener, first time caller. I am coming up to the eight-month mark in my "Heads Down, Learn Programming" experiment. This is my first app, an open source Magic the Gathering sealed deck generator. At the moment it is severely limited in scope, but I've worked on it for ~ six hours and I figure this is a good time to stop and let it breathe for a while. It's on github (https://github.com/alxjrvs/Sealed-Deck-Generator), as are a number of other half-completed project. Each was started with a goal in mind ("Mess around with Bootstrap", "Get off your ass and TDD", "Kick around complex associations for a while") and a few are not made to be finished. At any rate, this is the first thing I can safely consider "shipped". Cheers, folks!

Visit productView on Hacker NewsSep 25, 2012
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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released
54%54% 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: month · 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: open · Missing: mac, agents, macos
31%31% 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
30%30% 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.
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.

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