Memex – annotate and instantly recall any website

Hacker News

After 18 months of tinkering and iterating, we want to show you our Memex: An open-source browser extension to effortlessly organise your web-research. We'd love to know what you think :) Check it out at https://worldbrain.io/hn Memex features: - Instantly find websites you visited with the fuzzy memories you have about them, instead of bookmarking everything or keeping dozens of open tabs. Search for every word of every website you’ve seen, and filter by time, domain, custom tags or bookmarks. - Add your thoughts to websites via comments & annotations, directly in the browser - not in external, disconnected apps. - Cite websites with precision: Share links to pieces of text on any website.

Visit product View on Hacker NewsSep 26, 2018

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Actual performance

52points

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Launch Intel predictions

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

91%91% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

74%74% 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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

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

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

15%15% 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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