Pr
Print chr$(205.5+rnd(1)) goto 10
Hacker NewsPrint chr$(205.5+rnd(1)) goto 10
JavaScript implementation of the famous `10 print chr$(205.5+rnd(1)) goto 10` one line of BASIC code. data:text/html,<script>a=()=>{document.write(Math.random()<0.5?'\u2571':'\u2572');document.body.style.cssText="margin:0;padding:0;font-family:monospace;word-break:break-word;font-size:3em;letter-spacing:0;font-stretch:ultra-expanded"};update=()=>{a();window.requestAnimationFrame(update)};update()</script> Copy and paste the above "link" in your browser.
Share cardActual performance
42points
16comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: margin · Missing: arr, mrr, revenue21%21% 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, crypto13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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