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Avoiding distractions with /etc/hosts

Hacker News

Avoiding distractions with /etc/hosts

Last week I discovered slither.io, and it nearly ruined me. If you don't know what it is, turn around and continue about your day. However, if you've had the unfortunate luck of stumbling upon it, please read on... I've logged countless hours attaining leader board status to display my politically antagonizing username only to be killed by some punk name joey. The glow of dead snakes clouds my vision when I'm not playing this terribly terribly addicting game. My family looks at me with distain when they see me playing it. My work is suffering, my personal life non existent. Today is the day I killed slither.io According to toggl, it took me 2 hours and 17 minutes to do so (including this post). If you too suffer from an addition to slither.io or any other web based distraction (perhaps even hn?) my solution is available to you for the low low cost of the time it takes you to edit a txt file. Open up /etc/hosts in your favorite text editor (vim of course) and add the following... 104.131.217.198 slither.io Windows users (do they still exist?), you are on your own. Beside you probably need a good distraction to avoid bashing your computer with a hammer the next time that pleasant little paperclip tells you what to do. Upon future visits to slither.io you will be greeted with a friendly reminder that you are not working. Your life will be saved.

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Actual performance

3points
1comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, computer, open · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, friendly, users · Missing: plus, platform, intuitive
38%38% 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
16%16% 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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