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I'm trying to make Notion a better alternative to Zotero

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I'm trying to make Notion a better alternative to Zotero

I have to constantly read papers for work. So I created a Chrome extension called "Academic Notion" that can scrape the information of papers I plan to read from websites like arXiv and Google Scholar, and upload them to my Notion reading list database. I hope one day it can make Notion a competitive alternative to Zotero and Mendeley. However, I'm not an academic. I only need to read papers and take some notes. I don't need to write any paper. And most of the time, arXiv is enough for me. Therefore, I'm not sure what additional features I should add to the extension to make tools like Zotero unnecessary. For those of you using Notion to manage your paper reading list, what features would you find most helpful? What research paper websites do you want the extension to support? (It currently only supports arXiv, Google Scholar and Science Direct)

Visit productView on Hacker NewsMay 27, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, using, notes · Missing: mac, agents, macos
93%93% 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: supports, created · Missing: reddit linkedin, podcasting, latex
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, 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
48%48% 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
33%33% 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.

Correct prediction on native model

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