A Chrome extension to save to Google Sheets in one click

Hacker News

Add to Sheets is a Chrome extension that lets you save text, links, image URLs, page links, and more from anywhere on the web to a Google Sheets spreadsheet without switching tabs using the context menu. You can also save content to different sheets at the same time by grouping columns. And use as an email finder and save unlimited email addresses, links, and image URLs on websites right to Google Sheets.

Visit product View on Hacker NewsJan 28, 2025

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Actual performance

4points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, email, context · Missing: mac, agents, macos

84%84% 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.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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

18%18% 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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