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A Chrome extension for fast, contextual notetaking

Hacker News

A Chrome extension for fast, contextual notetaking

tl;dr - I built a fast and low-frills notepad which helps me keep a flow state. I spend a lot of time in the browser: in calls, managing stuff between SaaS apps, or consolidating info from multiple tabs. Usually, I'd bring up an editor and side-by-side it, or switch between my current tab and a notion tab. This extension lets you hit a hotkey and bring up a notepad in-place. It's a scratchpad for thinking in the moment - key points and questions as I'm working. If I want to hold on to the memory, I can export it to another app - if not, I'll just delete the note. It's kind of like the RAM to Notion's hard drive. A couple more details: - It works in videos, pdfs, and most sites. Startup friends use it reviewing their Figmas. Investor friends have been using it on Docsends. I use it to pull important parts from documentation, and writing call notes. - A note can be used across tabs (e.g. I've used it to cross-reference product reviews) - It keeps a bibliography for each note. - It can stash its notes if you want to keep things in-house. If not, you can export to Google Docs and Notion - If you connect your Google Drive, you can search your drive. It's faster than the web interface. Anyway, the point is to be a really fast way to manage your current thoughts. I feel like memory decays rapidly, and the faster I can record things, the lower my mental burden. I've got a video showing some of this at https://getjotter.com/ . There's no signup needed to try it, and I'm happy to take feedback and suggestions!

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, context · Missing: mac, agents, macos
95%95% 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 · Missing: supports, reddit linkedin, podcasting
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps, video, google · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews, interface, calls · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
19%19% 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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