Ne

New Video Game Journal

Hacker News

New Video Game Journal

Hello All, I've decided to start a video journal to record the progress of a new video game I'm developing. Basically, I will be uploading videos of my progress to Youtube every couple of days or weeks. I will also make available the latest copy of the game in the Google Play Store. My main reason for this is that it is really hard for me to release anything to production. I can spend a huge amount of time working on something and then when it comes time to get it ready for release I'm too exhausted and wanting to work on something else. Which is why I have a lot of unreleased projects. To fix that I've decided to flip my entire process on its head. I will focus mainly on releasing software. Every time I make some changes to the code I will be releasing it in the Google Play store, even if they are quite minor. I will also be making a video to show the new features. Hopefully this experiment will work out. The tentative name of the game is Machina: A game about building machines. My first journal entry is at: https://www.youtube.com/watch?v=g7zkEHGTWe0&t=14s The download link is at: https://play.google.com/store/apps/details?id=com.noatechnol... If you click on the video like you will notice that it does not do anything yet. It is only a platform in the middle of nowhere with the player standing on the middle of it. You can pan the camera in any direction and move the player in any direction. By the end of the video the player moves over the edge and falls into the infinite abyss.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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 HuntOn track for Day 1 leaderboard · Strong signals: mac, google, apps · Missing: agents, macos, agent
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, video, google · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, 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
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
43%43% 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
20%20% 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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