I made LaunchQuik to save time & launch Shopify app in days, not months

Hacker News

I have built 3 Shopify apps till now, and every app felt like deja vu. I was doing the same things again and again, and that's why I built Launchquik for 3 reasons: save time, avoid headaches, and earn fast. I have combined all my learnings into this, and it will help you save lots of time and headaches so that you can focus on what matters, and that is solving merchant problems and launch faster. Here’s what you will get. Shopify remix app boilerplate App listing screenshot templates 70 ways to market your Shopify apps. I hope Launchquik boilerplate and toolkit will help you save time as it is saving for me. I would love your feedback.

Visit product View on Hacker NewsAug 23, 2025

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3points

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

80%80% 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: apps · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, month, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

40%40% 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 · Strong signals: shopify · Missing: arr, mrr, revenue

35%35% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, 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.

Correct prediction on native model

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