GamesInProgress – Discover and follow indie game developers

Hacker News

Hi, I've always been captivated by how video games come to life. Watching indie developers share their journeys—the art design struggles, the little victories—has been incredibly inspiring. I found myself spending hours on YouTube, following devlogs and tutorials, and dreaming up my own game ideas. But over time, my YouTube feed turned into a chaotic mess, and the content I valued was buried under unrelated videos. So, I decided to build something for myself: GamesInProgress. What started as a simple personal project grew into a passion. I began curating a list of indie game developers whose work resonated with me, and now it features over 300. Being a bit of a data enthusiast, I added stats like subscriber growth and Patreon earnings. It's fascinating to see how these creators evolve over time, adding another layer to their stories. Recently, I noticed someone launched a similar project on Product Hunt. At first, I felt a mix of emotions—surprised, a bit anxious—but ultimately, it motivated me to share my own journey. So here I am, sharing GamesInProgress with all of you. I've put a lot of passion into this project, and I hope some of you might find it useful. I'd love to hear your thoughts! If you have any feedback or ideas for improvement, I'm all ears. Thanks for reading! https://www.gamesinprogress.com

Visit product View on Hacker NewsSep 20, 2024

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, 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

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: personal, video, way · Missing: mobile apps, ios, entrepreneurs

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

14%14% 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.

Incorrect prediction on native model

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