So there's two things here: TILs and projects. I'm running a dev writers' retreat next week and happen to be thinking about this, want to suggest more: - Super

So there's two things here: TILs and projects. I'm running a dev writers' retreat next week and happen to be thinking about this, want to suggest more: - Superlatives: An interesting story about the first/last/best/worst experience when you did X. You see a lot of these in Rachelbythebay's work (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=https%3A%2F%2Frachelbythebay.com%2F&sort=byPopularity&type=story https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...) . Mtlynch focuses more on documenting his journey semi-realtime (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&query=mtlynch.io&sort=byPopularity&type=story https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...) - Data & News: This is a lot of work but collect data for yourself and publish it for others and others will find that useful. This is the strategy I am adopting for AI stuff https://lspace.swyx.io/p/open-source-ai https://lspace.swyx.io/p/open-source-ai. Dan Luu does this a lot to back up his work https://danluu.com/ https://danluu.com/ The cutting edge of data is news, and you can see this on Gergely's substack (https://blog.pragmaticengineer.com/ https://blog.pragmaticengineer.com/) but you're basically a journalist at that point - How $POPULAR_THING Works: This is Fly.io's (https://hn.algolia.com/?dateRange=all&page=0&prefix=true&query=fly.io%20sqlite&sort=byPopularity&type=story https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...) and Alex Xu's strategy https://blog.bytebytego.com/ https://blog.bytebytego.com/ - Overviews: What your part of the dev ecosystem looks like to you. It'll never be perfect, it can't be. Some folks on HN will tear you to shreds for missing something obvious. But it will be immensely helpful to people just behind you in experience. See: How I write backends (https://news.ycombinator.com/item?id=22106482 https://news.ycombinator.com/item?id=22106482), The evolution of the data engineer (https://news.ycombinator.com/item?id=33317126 https://news.ycombinator.com/item?id=33317126), and my AWS vs Cloudflare post (https://news.ycombinator.com/item?id=28903982 https://news.ycombinator.com/item?id=28903982). Overviews become "Insights" when you can successfully reframe something in a new light that is useful for people to understand what is going on. - Predictions/Wishlists: What is missing from your part of the ecosystem. The complement of the above. You can also invert it into a complaint post, like https://circleci.com/blog/its-the-future/ https://circleci.com/blog/its-the-future/ or https://hackernoon.com/how-it-feels-to-learn-javascript-in-2016-d3a717dd577f https://hackernoon.com/how-it-feels-to-learn-javascript-in-2... but those are less constructive if entertaining - Principles: Timeless things, a superset of the previous two points. See rauchg (Nextjs cocreator - https://news.ycombinator.com/item?id=8559519 https://news.ycombinator.com/item?id=8559519) and dan abramov (react core team - https://news.ycombinator.com/item?id=18792373 https://news.ycombinator.com/item?id=18792373 - Caching: Anything - ANYTHING - you look up more frequently than 1x a year (For concepts, I have a Three Strikes Rule https://www.swyx.io/three-strikes https://www.swyx.io/three-strikes, For lists, I have persistent lists https://www.swyx.io/fave-podcasts https://www.swyx.io/fave-podcasts and https://www.swyx.io/new-mac-setup https://www.swyx.io/new-mac-setup). This could be a TIL, but often is not; the more accurate description is treating your blog as a "local cache" of stuff you always use, with exact instructions and copy pastable code that fits for you and is verified to work by you. The TAM is of course way smaller but this is how stuff like https://www.swyx.io/download-twitter-spaces https://www.swyx.io/download-twitter-spaces ranks on Google immediately because of course there are way more people googling for the same things. in short - try to identify the most useful parts of your experience and make it legible to others. your earnest and consistent effort elegantly answers "why should I read this" to the reader as well.