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How about some meditation in gaming?

Hacker News

How about some meditation in gaming?

As a game designer, I had been working on variety indie game ideas for some time now. But little did I know that what had started as musings with friendly co-op, platformers, & even endless runners almost 2 years back, would leave me with two deeper questions: 1. Why “video” games? And when I ask this, the implication is not a critical take on videogames. Rather, it’s an amazement at the stagnation in the gaming industry, as users are fed similar dizzying experiences over and over. Should a playful online recess require eye-numbing photorealistic graphics as a quintessential? 2. What are the players taking away from this? Clearly, my despair with the existing visuals-heavy gaming experience was leading me somewhere - the question of what else, feels broken? Mechanics… yeah, the videogame mechanics of frantic clicks & keys seem to be almost the same since the time of arcade! In fact, they seem motivated by the shared ideals of driving addiction as symptom of heightened dopamine & adrenaline. In the blazing world of SM & apps already hijacking one’s brain’s receptors, this didn’t feel right. Worse, most videogames now feel like a recipe to fry those dopamine receptors up. No wonder, cozy games are becoming THE thing now. Though even among cozy titles, it was hard to find one that had dared to go beyond the normative ideas of a videogame. BLUEGRASS: MINDFULNESS SIMULATOR And so, I dared. I worked full-time on a spatial-audio ASMR gaming experience that simulates the human mindfulness process, and put up the demo on Steam! As someone whose wellness - both mental & physical - has been wonderfully enriched by the mindfulness practices I learnt at the foothills of the Himalayas in India, I felt that sharing the gift of this demo might be the worthwhile thing to do this New Year.

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Actual performance

2points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
65%65% 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: apps, user, new · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, users · Missing: plus, intuitive, reviews
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, video, users · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
35%35% 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
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · 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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