A bookmarklet to remove submissions and comments about ChatGPT from HN

Hacker News

I get it, ChatGPT is cool and you can do plenty with it. But I'm getting tired that every other post is about ChatGPT, and every other comment is about ChatGPT's take on a topic. So I made this bookmarklet to remove comments and posts about ChatGPT (including this one) from HN. Drag and drop the text below to your browser bar, give it a name like "Remove ChatGPT", and get rolling. Whenever you load submissions or a specific comment thread, just click the bookmarklet and the page will be ChatGPT (And even ChatGTP) free. javascript:(function() {if (document.getElementsByClassName("comment-tree").length) { Array.from(document.getElementsByClassName("comtr")).filter(elt => elt.innerText.match(/chat\s?g[pt]{2}/i)).forEach(e => e.parentNode.removeChild(e)); } else { Array.from(document.getElementsByTagName("a")).filter(elt => elt.innerText.match(/chat\s?g[pt]{2}/i)).forEach(a => { const tr = a.parentNode.parentNode.parentNode; const table = tr.parentNode; const details = tr.nextSibling; const spacer = details.nextSibling; table.removeChild(tr); table.removeChild(details); table.removeChild(spacer);});}})();

Visit product View on Hacker NewsDec 7, 2022

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14points

5comments

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Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io, including · Missing: https docs, excited, just released

42%42% 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 · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: chatgpt · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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