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Paned – Stupid simple new tab notes extension

Hacker News

Paned – Stupid simple new tab notes extension

Hey HN, realized my new tab page was the most visited and least useful page in my daily routine. At the same time, Post-It notes were getting lost on trains and in airplanes. Enter PANED - a stupid simple new tab notes extension that is designed to capture all the random things that don't meet the bar to go into Notion/$PRIMARY_NOTES_APP, but still need to be remembered. The panes are backed by contenteditable divs, allowing you to go crazy with what you paste. Everything is saved to localStorage and never leaves your device. Enjoy!

Visit product View on Hacker NewsJun 20, 2023

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: new, notes · Missing: mac, agents, macos

75%75% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% 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, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% 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

27%27% 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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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