Beautiful Spotify covers generator (by a music maker)

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I'd love honest feedback about something I'm working on. The more honest the better - don't hold back if you hate it! Just please tell me why. App Link: (http://bit.ly/spotiplushn) SpotiPlus, is an easy-to-use tool dedicated to design nice looking cover arts for your Spotify playlists, tracks, albums, podcast. From Rock to Hip Hop, I've prepared a variety of ready to use styles for everyone Here's what sets Spotiplus apart from other design tools Easy to use, no design skills needed I believe that Photoshop is an excellent design editor however it requires a huge learning curve to design a simple playlist cover. With that in mind, I tried to simplify the experience and make an easy-to-use editor that offers only the necessary tools to design the cover in no-time Export the cover art straight to Spotify Another issue I found with exporting the cover image, was that I need to download the image first then I had to open the Spotify desktop app to upload the new cover. I thought “wouldn’t it be nice if we could upload the cover straight to Spotify with no hustle?”, For this, I linked the Spotify API with Spotiplus in order to upload the cover with 1 simple button click Choose from a variety of built-in templates While playing with the editor, I found that finding the perfect background and text colors is time-consuming and requires an artistic eye. For this, I handpicked a collection of copyright-free pictures that match the Spotify vibe in addition to a cool list of the color combinations that work together well and gives good looking results. Spotiplus is launched today, you could find it on Playstore by typing Spotiplus or use this direct link (link) http://bit.ly/spotiplushn It would be great to get feedback on the app.

Visit product View on Hacker NewsOct 29, 2020

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

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews

60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, 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

34%34% 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 · Missing: arr, mrr, revenue

11%11% 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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