From Dopamine Detox to Enlightenment

Hacker News

Two months ago, realizing my intelligence might soon become a commodity threw me into a quiet existential crisis. If intelligence doesn’t differentiate me from AI, what does? We die, AI doesn’t. Our attention is sequential, AI’s is parallel. Curious to test this theory, I spent 10 days at a Vipassana retreat to reset my dopamine and intentionally train my attention. What started as philosophical became vividly physical. Some tangible results from these past two months: - Lost most of my torso fat (–0.5kg/week), without dietary changes - Improved VO₂ max from 53 to 58 - Released chronic muscle tension (neck, back, hips) - Need one hour less sleep, same energy - Zero procrastination—flow state on demand It’s like switching from black-and-white to full-color vision.

Visit product View on Hacker NewsMay 19, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, para · 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: physical · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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, io · 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.

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

29%29% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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