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Ask HN: How do you digest your newsletters?

1 pointsby mkchoi212over 1 year ago
Howdy. I find myself overwhelmed every morning with dozen of newsletters in my inbox. I usually end up deleting them without reading it or let them go stale in my inbox... but I can&#x27;t help to feel like I&#x27;m missing information if I don&#x27;t read it or that information has gone stale if I read it 2-3 days after it was sent.<p>ps. I unsubscribed from a lot and managed to cut back from 20 ish to 10 newsletters :p

3 comments

soueulsover 1 year ago
I have Feedly premium and I use it to subscribe to newsletters.<p>So they are part of my daily RSS feed.<p>I try to review 250 piece of content every single day.<p>(reviewing includes deleting boring stuff)<p>I have some filters&#x2F;priority setup (around China, my favorite technical stack, favorite creators, etc)<p>So I have a fairly high signal&#x2F;noise ratio
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stop50over 1 year ago
I only have one newsletter i have subscribed to. The rest of my information source are in my feedreader.
maxgluteover 1 year ago
Oh boy.<p>Feedly + Chrome + linkclump + tab groups + autocopy<p>Balabolka text to speech that watches clip board + appends copied text into one document<p>TS2 text to speech on android.<p>I have a ~100 feeds and ~20 news letters.<p>I have AI filters &#x2F; deduplicate setup on feedly.<p>I&#x27;ll go through priority list and save later anyhthing i&#x27;m interested in.<p>Couple times a week, I&#x27;ll load up the read later list, use linkclump (hold Z + drag over list of links) to open everything in new tab. Clear all read later. Sort tabs by domain with tab groups.<p>Go through tabs by topic, drag and over article&#x2F;parts of article, which gets autocopied to balabolka into a few different text files based on topic. Autocopy has option to save url and access time for later reference. I&#x27;ll keep the tabs with interesting looking graphs for later reference as well. For frequently used sources, I&#x27;ll have readermode on, or adguard rules to strip as much superfluous web elements as I can. Balabolka also supports regex to further filter out more things, i.e. sometimes I&#x27;ll just copy comments from an entire thread and it will only read user name + comment.<p>Feedly Teams has option to make news letters according to tag, but seems like it&#x27;s only available for enterprise which is dumb. Shouldn&#x27;t be hard just to collage everything into a news letter, but here we are. Process usually takes 15m, couple times a week.<p>Usually works out to 10-15 hours of &quot;audio&quot; per week, which I listen at 2-3X speed on a text to speech app called T2S on android, so about an hour a day at the gym. There&#x27;s a couple voices that makes listening at higher speed clear, &quot;microsoft zira mobile&quot; on desopt (need reg to unlock), and Android&#x2F;Google &quot;United States - 1&quot; on mobile. Yes it&#x27;s still pretty robotic but you acclimatize. If I&#x27;m really interested in saving something i&#x27;ll take a screen shot on my phone of the text and then search for in the text file and find the url.<p>Have a script that backups the text files, basically keep an archive of everything I&#x27;ve consumed that I&#x27;ll occasionally search through if I need to find source.<p>I find audio a good format, especially for keeping up to date. Generally multiple sources will talk about same shit, and you might hear same news&#x2F;analysis a few times and skip, but repetition helps retain info.<p>Also useful for podcasts&#x2F;lectures with transcripts (usually youtube). Throw that in an AI summarizer and copy text to balabolka.<p>I&#x27;m hoping all this will be dramatically simplified in the next few years. Would be nice if there&#x27;s a RSS +LLM that can filter articles according to topic, summarize and throw into a mp3 by date. Same with podcasts. Maybe better natural language TTS. Maybe have bookmark option like in pocket cast.<p>E: prior to this there was also good service that makes twitter lists into digests, which was also very useful, but hard to do now. Have a very hacky system to scrape everyday which adds another 5m everyday for 5 lists with ~150 people I follow. Usually 200-300 tweets a day that takes ~30m to listen.