vanderwal.net

I Wrote What?

Part of the impetus for writing this post has been driven by the updates at A new Observable | Observable, which I recently wrote about Large Observable Update :: Off the Top :: vanderwal.net, and looking at changes in not only Observable, but updates to D3 by Observable. These current and not-too-distant updates have had me thinking about what I could do with some of my blogging data to make interactive charts and graphs. I’ve recently moved a lot of my legacy static charts and graphs to Plotly to gain interaction with them, for many of my own uses. But, in the process of getting a decent data workflow setup for my site (and my notes data) I have relatively clean data locally ready for use and testing.

A Little Data Workflow Background

For this blog I have been pulling down the data from the site’s backend and converting it with a set python script to extract it to SQLite, which is relational but quite fast for reading data and is great for single user write and a few read options. Over the past few months I’ve also been building many data analytics and data visualization prep python scripts (some building JSON files for standalone webpage interfaces). I’ve used Claude to debug, but also just turn out a script in less than couple minutes for the page setup for the D3 or Plotly scripts, which would usually take me 30 to 120 minutes. Once the scripts are set and I’ve reviewed them it is all just setting python flags and minor tweaks to the script to handle a data update.

With these script setups I’ve been able to try quite a few D3 chart and graph options very quickly. Going through the Python code, the data structures for the visualizations, and the hooks for the visualization and I’m rather happy with it for quick outputs.

What Can I See Using Blaugust Data

One of the things I had interest in from my A Wrap to Blaugust / Blaugust run in August was what did all of that look like from a basic statistic and graphical perspective. A few months back I created and ran a bunch of Jupyter queries and visualizations, Personal Blog Data Analysis - Looking at 25 Years. Since then I’ve been thinking about looking at a monthly view with more interactive charts and graphs. Since I had a decent amount of data from August 2026, existing data workflows, and a few D3 charting and graphing options I could work with I took a look.

August Off the Top Force Graph

The first is an interactive forced graph with the blogpost as orange nodes with the size corresponding to word count and the tethered edges link to categories for the post. Clicking on the post will show the related categories and pulling on the post node will start to see the other tethered posts connected through the categories. There are few toggles: 1) Posts and categories or just Posts with their related interconnections; 2) Only show shared categories (a category with more than one post); 3) Post to Time, which may be my favorite view, as it take the graph and lays out the posts left (oldest) to right (most recent), with a small light timeline at the bottom and all the other relationships displayed as well; 4) Post titles, which clutters things a bit and adding the toggle resolved that clutter.

You can view this standalone interactive web chart that sits in the Lab :: Off the Top Analytics at the direct link: Off the Top, August Force Graph with Toggles. A sample is here:

August 2026 Word Counts

As I was going through the data for August 2026 I knew and could see the word counts for posts, which I don’t have easily (nor quickly) available on my site. But, with the data local in SQLite and I’ve been using the local data to run many types of post analytics, word counts become a simple and quick option that doesn’t impact the site’s performance at all.

I was really curious about word counts per post across August, but also was more curious about a cumulative word count across the month as well. A quick and easy bar chart and line graph solved this, both having interactive hovers for metadata. August had 25,390 words posted.

The standalone interactive web chart is also in the Lab and the direct link is: Off the Top, August Word Counts by Post and Cumulative Count. A sample is here:

Cumulative Word Count for 2001 to 2026

Looking at the cumulative count for August 2026 (the 25,390 words posted in the month) I had no idea what that count was in comparison to the whole life span of the blog (under this CMS that started in late October 2001 and not including the static posts prior to that). I know that in the early months and years of the blog I wrote a lot of short posts and the posts were frequent. Looking at word count I wasn’t expecting the first two or three years to have roughly the same growth slope up to 2008.

Looking across 25 years of posts I knew a single post analysis was going to be a bit rough for an interactive standalone webpage. Monthly would be better, but could still be a bit too much to process dynamically in the browser. Quarterly, was just a bit on the thin side and more difficult to see trend shifts and correlative line slope. I settled on a two-month interval and I had something interesting in under a minute.

July and August 2026 were the highest word count across all time on this blog. The 25 thousand words is roughly a quarter of a 250 page book. But, now that I had the bi-monthly chart I can also see the early years I had roughly similar counts per two months up until 2008 and then there was the “great flattening”, until the “great pandemica” lockdown when things ticked up again until lockdown ease and work went back to its normal patterns.

I ended up over the 25 years with 437,417 cumulative words just on this blog. That is roughly 4 books of 250 pages. It would be a rather odd book, but in just considering word count as the focus. I find word counts odd, particularly writing to word counts. I’ve had a regular column in tech publication that had a 750 rough word count topic, this was at a time when my posts were often 1,000 to 1,250 words on average and 750 words was about where I had the framing set to get to the meat of things. I mostly write on this blog to an amount where there aren’t good words left, which is 200 at times to 2,500 or more. To see my writing shifts in the early years roughly similar in trajectory rather interesting.

The standalone interactive web chart is also in the Lab and its direct link is: Off the Top All-time Cumulative Word Count. A sample is here:

Will this Continue?

Now that these are standalone webpage charts and graphs, I’m not sure what I will do. I need to get the templates consistent from a layout and design perspective. But, once the standalone webpage is created I just copy it to the Lab or other location, and this can be automated with a quick script. I think the month-by-month analytic is interesting, at least to me. I have not only the local standalone version that I posted, but a rough output build that isn’t fully self-contained that I can play with and iterate on.

If you like this and want to see more ping me on one of the services or send an e-mail using the Contact in the navbar.

Large Observable Update

Around mid-week Observable announced a major update on their blog (A new Observable) and my evenings turned into looking at updates to the Notebooks, charts / data visualization offerings and much more. There are more interactive charting models and this is the first time I’ve noticed a downloadable notebook app for Macs (I haven’t tried it yet).

I use D3 by Observable quite a bit for data visualizations form data focussed apps (I also have been using Plotly for local Python interactive data apps). I started using D3 in late 2011 for some small data visualization projects, but in 2012 was working on a large project that made extensive use of it and it has stuck as a tool in my tool belt.

I often use Pandas, Polars, and Jupyter, but also RStudio. It might be time to look at Observable’s notebook, but I’m not overly fond of JavaScript and I’ve been using Claude to assist cut down the struggles with JS and getting to looking at and interacting with data visualizations.

The D3 and Observable sites have been some of the best resources for understanding data visualization basics and good fits for data and visualizations. The education aspect, as well as the really good quality charts and visualization tools have made it a regular resource that I use and regularly point others to.

I still have a lot of Observable and D3js tabs open as I’m pulling better notes for myself. But, I figured it was a good time to share it with others.

A Vision Pro Perspective

I have used many different VR headsets at hackathons and studio labs, but the visual quality was less than desirable. Reading in them was far less than optimal. I had found the 3D immersive capabilities somewhat interesting for training physical tasks and heightening awareness skills. But, the quality of the headsets’ visual quality and rough interaction models were large hurdles to overcome.

A couple years back (or so) I had tried the Apple Vision Pro out of curiosity at an Apple Store, after its launch and impressive walkthroughs. I was blown away with the visual quality as it was generations better than other options out there. But, the interactions with the apps and interface were incredibly simple to understand and became very quickly intuitive.

The Apple Store demo really piqued my interest. I could see its upsides for consumption. But, I could also see the potential for using it for remote work and interaction environments. That work potential became a large curiosity. The price of the Apple Vision Pro was a huge hurdle to go digging for the sake of curiosity. But, when Apple added the capability for a virtual monitor for your Mac with wide and ultrawide options, that started nudging the viability for curiosity. But, the price was still a bit too steep. I started looking at used Vision Pro models and prices were around $1k off new purchase prices. The friction there was knowing how to find one in good shape. I asked in an Apple forum I am part of how to purchase a used Vision Pro and someone in the forum had one they were thinking about selling. We chatted and worked out how to meet and purchase the device.

I figured if the two big things I had interest in it was worth the investment in the used AVP: 1) Viability for virtual meetings; 2) Virtual monitor. If it didn’t meet my interest or curiosity waned, I figured I could sell it on and get close to what I paid.

Before the Two Use Cases I Care About

The questions many ask are around:

Quality?

The quality of the hardware, visual displays, and interactions are seriously impressive. Opening web pages and reading ebooks is really nice clean and really impressive. There are no jaggies nor glitching.

Does it feel heavy?

I picked up the Annapro 2 add-on that is a brace that is padded and used at the top of the forehead area that takes the weight off your face and balances it much better. I regularly will have 2 to 5 hour sessions with the Vision Pro on and it doesn’t feel heavy nor cause neck strain for me.

How much do you use it?

I used it at least once a week, but many weeks around three times a week for tasks, virtual monitor use (more on this below), and some content consumption.

App availability?

There are apps for most things I do (many of my regular apps are available as visionOS native apps, and most other are available as iPad apps that are made Vision Pro capable), but not all apps that I really want are available as native visionOS apps. Two of the apps I really want on the device are the Drafts app (this is how I capture and surface quick notes across devices, not having it natively is a pain) and iA Writer as the Vision Pro a great device for focussed work (the input side is something). Having native Obsidian would help a lot as well, but that is more difficult as it is an Electron-based app.

I really want data visualization apps for larger data sets or data with a lot of complications, so that scaling the interface allows for better examination and interrogation of the data.

I really want Freeform as a solid whiteboard option, but it is so close and yet so far.

Isn’t it mostly a content consumption device?

The consumption capabilities of the Vision Pro are amazing, but for a consumption primary device the price is a bit much. The immersive environments to work in or consume content in are insanely well done. The immersive video content is stunning to say the least. Watching movies or other video content is a really good experience in 3D or regular viewing.

Curiosity Around Virtual Meetings

The Apple marketing pitched the Vision Pro as a good virtual interaction device. It used personas that were your face and hands. But, the big question I had around this was the ability to have meetings with colleagues that normally require hopping on a train or plane to get in the same room for 2 to 4 hours, or a couple days. That in-person interaction around plans in documents, presentations, spreadsheets, and whiteboards with a few people seems really viable. I really wanted to test it out that interpersonal interaction capability.

People that work together are most often rather distributed these days and there is no getting around that and travel isn’t cheap. But, if you can shift two or three fly-in meetings to Vision Pro you have basically paid for the device. But, if you can have more solid interactive meetings between the fly-in meetings that have better value than Zoom or Teams or even augment them with greater interaction and fidelity, that is a great win as well.

When I picked up my used Vision Pro it was still the first version of visionOS. The personas were decent and far better than other VR / AR providers, but could be better. Within a few months a major update was made and the personas really became good. Within a few minutes you forget you are interacting with a persona, and it feels normal with great facial gestures and hand and shoulders captured too.

Trying the interaction around documents and presentations with friends has been incredibly good. Once you open a document the person(s) you are interacting with shift from in front of you to arranged next to you and can point and touch what is being shared. This was and is incredibly good. I’ve done 2 and 3 hour sessions in the virtual meeting sessions and for most things it is really good where showing, talking about, interacting in shared documents, and editing is quite good.

The two limitations of this model are: 1) SharePlay is used for the interactions so it is capped to 5 people in the virtual interactive environment at a time; 2) The whiteboard with Apple’s Freeform (Apple launches Freeform) is their virtual whiteboard, which is similar to a Miro or Mural. The 5 person limitation isn’t bad and it is fine for many fly-in meeting needs for planning and check-ins, but 10 for in the same space and then have 5 person breakout sessions with much better interaction would really go a long way. Freeform in Vision Pro really need an input device and the best option is an iPad, which is rather good, but really needs a few more improvements. The iPad Pro with the Pencil Pro and the virtual shadow and the shadow for bevelled orientation seems like it was designed with Vision Pro in mind. But there needs to be some sort of pass-through to take some of the friction out of this. You can get rather proficient with a little time using the iPad Pro as the Freeform interface to do detailed work. The dedicated virtual pens lose fidelity and detail and from my perspective are a poor option.

A great advantage of using the Vision Pro virtual meetings is the focus of participants. In regular meetings most participants aren’t focussed on the matter at hand. For fly in meeting with distracted participants that is a very expensive problem. The distractions are normal and viable to keep on top of projects and problems that happen no matter if a meeting is happening or note. The advantage of Vision Pro is it puts the meeting front and center and the interactions with others in the shared virtual meeting, which is an amazingly strong value.

For virtual meetings this is a good option, but almost there and there needs to be some focus on what is needed to get there. There have been small steps, but the steps need to be more frequent and a bit larger. The other downside is a network effect problem (network effect as the converse), as there aren’t enough people who have Vision Pro devices to have ad hoc meetings with partners and clients at the drop of a hat. I have a few friends whom I interact with that I can test the advances around Share Play and different shared interaction capabilities.

Virtual Monitor

The other added value functionality I was curious about was the Virtual Monitor for Macs. I use the Vision Pro as a virtual monitor for my MacBook Pro quite a bit. The ability to use regular width screen (roughly equivalent to my 16 inch Mac Book Pro or a bit bigger), wide screen (about two screen widths), and ultra wide that wraps (about 3 screens) is really impressive. I most often use the ultrawide option when I need 3 or 4 apps open to have a screen I’m working in, one screen size for my notes, and one or two for reference.

There are two upsides for the Virtual Monitor mode. One is the ability to have Vision Pro apps open around the monitor mode as sticky notes, MindNote mindmap app, Safari floating with a page open, OmniOutliner lists open, and Apple Music. When I’m at my desk I have an external monitor to the left of my laptop stand, so I have two screens. The real life two screen setup causes more neck strain than the wide or ultrawide screen (by a long shot) and that is including the weight of the Vision Pro headset.

The quality of the pass through was a big question. The quality isn’t the same as the amazing screen on the MacBook Pro, but it is two 4k monitors with one in front of each eye. It sometimes is a little less than optimal, but if I move the virtual monitor either closer or farther back it gets to a sweet spot for really nice clarity. I don’t use the virtual monitor or ultra detail work or color precision work as the MacBook Pro screen is superior (similar for my 4k external monitor on my desk).

Two things I really enjoy doing in the virtual monitor are working on system mappings as I can go really wide and tackle and working in Freeform as a virtual whiteboard (it would be so much better were Freeform inputs much better in Vision Pro in its native app). I use Canvas in Obsidian for some capturing of systems and models, I also use OmniGraffle (the Mac version, as there isn’t an Vision Pro version yet, nor a working version of the iPad app for OmniGraffle 8 - I’m moved most of my OmniGraffle work into the beta of version 8 over the last year). In OmniGraffle I don’t use paper size, as I only use it for digital work, so I can go quite wide and tall.

One other advantage of the Virtual Monitor is that for the price of three good 4k monitors the Vision Pro is around the same price.

Vision Pro Impression Today

I still have the Vision Pro and I still get a lot of value from the device and regular use. There are some weeks where much of my use in the device is consumption, but pure consumption weeks are fairly rare.

One of my favorite uses is to put it on and just focus on work and tasks. Dropping into an immersive environment or the TGV app (a virtual TGV train trip that can provide a train focussed environment through the developer capabilities). I find trains are a great focus environment to get things done for me and this app works really well to resemble that.

I am really happy I picked up the Vision Pro, particularly used, as the price point felt it was quite on target. I really would love for Apple to take larger and more progressive steps. There are times I don’t know that Apple understands the full impact and focus of all the use cases, but I’ve virtually attended a few of the Vision Pro Developer full-day series and Apple is covering a lot of ground and covers many of the use cases well. I look forward to what is coming down the road.

Personal Blog Data Analysis - Looking at 25 Years

After adding sparklines to my category lists (Updated Categories with Sparklines and Search is Now in Production) I wanted to have a deeper dive looking at my categories and blog analytics over 25 years.

Category Long Tail

I done a very quick capture of category usage to look at the distribution of use. A question from James about whether my category distribution looked like a long tail distribution and I thought it may, but also looking at the numbers and not having a visualization I wasn’t sure. Charting the use, it really was a very long tail / power law distribution.

I shared it with James and he also ran his and ended up with much the same (Is there a power law of category use? - James’ Coffee Blog). There have been a few discussions of late around category use and some lean into having just a few categories. I have just over 200 categories now as most of my blog post have more than one subject and I use the categories to have an way to jump to related posts that cover the same subject. When I built my site’s CMS I wanted to have the capability to have multiple categories on each post. I have multiple categories for my own purposes, but also I’m cognizant that readers may have other terms.

With the long tail use of categories I know readers may stumble across a post through web search or a link from else where and having a category term that is familiar can get them to other things I may have posted. I view the web as being able to connect with others and blog posts are sharing things I have interests in or curiosity around and being able to connect with others in a similar mindset is the aim. So a handful of categories, particularly across 25 years and over 2,100 posts, doesn’t help build those connections.

More Analysis on Blog Posts and Categories

This distribution of categories really pushed my interest and curiosity of what the last 25 years of blogging looks like. I joke that Twitter ate my blog, but the sparklines sort of show that. I wanted to see the trends on my blog more closely (I have the archive of my Tweets and I’ll analyze them later and then bring the two analysis together).

To prep for the analysis I pulled my site’s database data local and put it into SQLite (it is already on Mac - Apple and quick) to connect locally with Jupyter Notebooks and use Plotly for interactive data visualizations in the notebook. I had a series of questions, somewhat common data analytics questions I’ve used since grad school looking at analysis over time.

Posts per Month

The first analysis is my blog posts by month over 25 years. In my early years I was posting frequently, often in shorter posts (but we will look at that next), and then around 2005 (when started engaging with Twitter) things dropped off. Also at this time I also started blogging more serious subjects at Personal InfoCloud, but those were not all that frequent (I’ll dig into this at some point later too).

My hunch that I posted much more early on and drop off around the time I engaged with Twitter, seem to hold up.

Post Length Over Time

Post length over time also can tell the story of why post volume shifted. I wasn’t posting a lot of short post, but posting longer posts, but less frequently. I’m really curious what I posted in June of 2009 that caused the spike. The spike on the right end in 2020 and beyond are partly attributed to posting weeknotes, which tended to be longer than normal.

I know that my writing muscles went from a few hundred words early on to posts being around 1k and more. I found my comfortable blog post writing length was around 1.2k words. I write to find out and capture what I think, but rarely edit for brevity or other editing benefit, at least on this blog.

Median Categories per Post

This view of the median number of categories per post over time I found interesting and I didn’t know what my expected outcome was going into this analysis. The numbers pretty much are in line with longer posts have more categories to cover slightly more breadth in a post. Again June 2009, not sure. The spike spike on the right aligns with weeknotes, which cover multiple subjects in one post.

Distribution of Categories per Post

This chart groups number of categories on posts. This shows the second bar has the most number of posts (822 posts) have 2 or 3 categories on the posts. The third bar has 408 posts with 4 or 5 categories on them. This lines up well with the frequency and volume of posts early on which were shorter. Looking at the prior chart most posts had 10 or fewer categories on them.

Combined Timeline for Posts, Length, and median

I like this combined chart that reinforces early on with high volume of posts of shorter length and few categories on them. What I find interesting is the correlation of line trends for word count per post and categories per post. This ties closely with the longer posts have more categories.

Seasonal Patterns

The bar chart on the left is total number of posts by month and on the left it is average word count on posts by month.

This was largely a curiosity to see what was there, but also a common analysis trend analysis to see if there are explanations of other trends looking at seasonal comparisons. The posts by month is not surprising to me as summer and early fall months have often been busy. I am not all that sure what the word count by month tells other than the correlation between more posts and shorter post length correlation showing up.

Top Category Activity Over Time

This chart shows the top 30 categories (by use) and their activity over time.

In this heat map Apple categorized posts were sure common, as well as Information Architecture, Information Application Development, Personal, User-Centered Design, and Web Design were also common. Personal and this site’s development.

The heat map being far more dense on the left in early years is skewed by volume of posts and makes activity in the middle and right (more recent years) difficult to see. I need to spend more time on this analysis and chart to separate out the early years and segment things so time outside of the early years can have trends more easily seen. I may want to select a different visualization, but if I can break things out by time that should help. Also running 3 time segements with the same top 30 categories across them and then the top 30 within each time segment could be interesting.

To 40 Co-Occuring Category Pairs

This cart of co-occurring category pairs is in part preparatory work for bringing concurrent tags into the category pages here for understanding and filtering needs for users.

The top 5 pairs are all related to UX, IA, and User-Centered Design and these being the type of concurrence isn’t a surprise to me. The broad UX community had rather divergent use of terms at times and one person’s IA was and other’s UX. For readers who think about these posts in one manner could find other similar content by the term they are familiar with using. Pretty much this whole list is application development, web design and development, web apps, and pan-UX related.

I don’t know how useful this is for broad insights. When I get to adding the concurrent categories on the category pages this will likely be more helpful on a category by category view.

Category Co-occurence Network Graph

This chart looks at the top thirty categories that have 10 or more co-occurrence of categories.

This I find more interesting than the prior in that this has Social Software and Folksonomy showing up and showing its relationships. The largest category in this view is Interaction Design and its multiple connections. I am entertained by the standalone pairing of Apple and Software, that at the scale limited for the data these only connect to each other.

I need to rerun this with higher acceptance to get more included. But, also this graph isn’t interactive in Jupyter, and every time I went to zoom in it collapsed the graph and I couldn’t move a node out of the way was disappointing.

Helpful as a Good First Pass

This analysis and data visualizations were helpful to see into my 25 years of posts. There are some analysis sets and data visualizations that need more work. Most of these are more helpful with Plotly in Jupyter and the ability to interact with the visualizations.

I am really curious with what this will look like when I look at Twitter usage and notes. Obsidian on top of my notes make note making easier and far more helpful with backlinks / wiki links. I started using it on top of my directory with notes in June 2020 that had around 2k notes in it going back to 2003. Now there are around 6k to 7k and in the past about half of these notes would have been on one of my blogs.

The 8 Questions Answered in the Blog Questions Challenge

It has been a while since I’ve regularly blogged. I’m still writing a lot, but it is going into notes, and I need to get those back shared out. It used to be things I now put in notes, I just posted online (this sort of gets to the first question). I saw Joe Crawford answer these eight questions on his blog - ArtLung: Blog Questions Challenge ~ 16 Jan 2025. This seems like it would be a great thing to get the writing and workflow to post muscles functioning again.

1. Why did you make the blog in the first place?

I had some odd notes in HTML markup, mostly to myself, that I had posted before I started blogging. They were just HTML files roughly linked in a web directory. On this site I’ve had my links running as an HTML page since 1995, which is a couple years before I had my own domain.

In the web development community in the 1999 and 2000 I was reading sites that had become blogs. It was late 2000 when I was playing around with Blogger, mostly as a means to share links between home and work (this is what my FTP HTML files to my web directory was doing). In very late 2000 I made my first post in Blogger tied to this website. It worked on an FTP model as well at that point, but when I travelled hotels would block FTP from their hotel networks. I wrote a travel note system in PHP that allowed me to capture ideas, links, and notes. When I would get home I would introduce them back into Blogger. The travel notes turned into a CMS at work (I had been regularly rolling CMSes for work life for a few years).

2. Why did you choose to write your own blogging software?

I started with Blogger, but quickly was writing my own CMS for when I travelled. But, what I really wanted was the multiple categories added to blog posts that Grey Matter blogging software (Greymatter (software) - Wikipedia) had that Noah Gray created. I didn’t have an interest in going back to Perl as I had moved to PHP for easier development and having it be more readable code. So, I turned my Travel Notes I wrote in PHP into a more full fledged blogging tool. In Spring or Summer of 2001 I moved fully to my own hand written blogging software and It had stayed there. I still has functionality missing that I’ve long wanted to add.

I’ve updated the underlying code when I move hosts and I need to update the PHP to a newer version (I’m currently in the midst of doing that and hope by May to have that done, if not much sooner).

3. Have you blogged on other platforms before?

My Personal InfoCloud blog started on TypePad in 2005 (I had it on MovableType for a short bit, but Perl was rusty for me and I shifted to TypePad). Around 2012 that moved to SquareSpace and I’m in the midst of moving that to self-hosted WordPress. The PIC blog I just wanted to write and post, where as vanderwal.net I was fine messing with the underpinnings. I’ve setup and run a few WordPress sites. I helped get Home - Boxes and Arrows on MovableType, before MT was publicly available (Jay Allen ended up doing a lot of the heavy lifting as my worklife got very busy). Today I use Micro.blog very lightly and I need to sort out what I’m going to do with that.

4. Do you write your posts directly in the editor or in another software?

When I started blogging on this site I write in Bare Bones Software | BBEdit 15 in text, then would hand code the HTML and copy and paste that into the form, add in the title, location, type of post, and click categories to add. Around 2010 I shifted to Markdown in various Markdown editors. When the app Marked came out I started dragging the Markdown file to Marked and it would convert to clean HTML and I would check it, copy and past in to my system.

The since around 2010 or 2011 I’ve used iA Writer: The Benchmark of Markdown Writing Apps to write my blog content in Markdown. I have used Marked 2 to convert to HTML for this blog since it came out. The remainder of the workflow is to post into the CMS, it returns a blog post link, which I check through. If edits are needed I edit in Markdown, drag to Marked 2, drop in the test again for the post, and submit. If it is good, I go back to the CMS management screen and click to update the RSS feed. Then go to a push the notification something is posted to a ping service (it used to have 20+ options and now it is 2 or 3 I think).

5. When do you feel most inspired to write?

Most days I write thoughts I’ve been mulling as I wake. I capture links of interest I’ve read and write about those through out the day. In the evening I try to clear out open tabs and capture links then.

Sadly, in the last 4.5 years, since I’ve had Obsidian I just write in Markdown in there in a Daily Dump structure note template I have. Those all sit in the same directory as the Markdown for blog posts, as they are all notes.

I really need to get back in the habit of posting, at least a weeknote, if not more regularly. I have a long stack of writing to hone and post into Personal InfoCloud (more than 80 “blogfodder” items in a list for there - my past job didn’t take kindly to blogging, so I’ve held on to a lot of writing that just needs to get out).

6. Do you publish immediately after writing or do you let it simmer a bit as a draft?

Here on vanderwal.net in the Off the Top blog, it is pretty much what it says on the tin. As it is written it is posted. I’ve been trying to edit a bit more to fix missing letters, missing words, and making shorter sentences (that last bit becomes a rabbit hole), but mostly it goes out as I hit the last period. Marked 2 does some grammar checking and other lightweight edit helping, but not much more than that goes in to it.

7. Your favorite post on your blog?

Most posts I forget I’ve written once posted. The act of writing and posting clears them from my head, which is part of why I blog - so to clear my mind for other things. But, I think my favorite isn’t in the actual blog but adjacent to it, Model of Attraction - First Draft :: vanderwal.net, which is a brain dump while on a flight after the inkling of the idea for it was seeded. It was going to go into the Off the Top blog, but I set it apart as a draft. There are many posts I’ve written about attraction since that time -Attraction :: Off the Top :: vanderwal.net. The Model of Attraction is the underlying foundation for a lot of approaches to thinking through and assessing things technical, social (along with grad degree with deep social sciences and analytic / quant).

8. Any future plans for your blog? Maybe a redesign, changing the tag system, etc.?

I am in the midst of updating the PHP on the back end to bring the site’s code current. Once that is done I really need to add pagination to categories, a better previous and next navigation, calendar / chronology focus display of posts, and site search. I’ve also long wanted to have concurrent category views, say “folksonomy” and “data visualization” for better .

The other thing I really am wanting to do is to have a Digital Garden section shared out, like Maggie Appleton lays out here A Brief History & Ethos of the Digital Garden and does on her site, or as Tom Critchlow has been tending to on his site - Tom Critchlow. Move. Think. Create..