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Welcome! BoredReading is a fresh way to read high quality articles (updated every hour). Our goal is to curate (with your help) Michelin star quality articles (stuff that's really worth reading). We currently have articles in 0 categories from architecture, history, design, technology, and more. Grab a cup of freshly brewed coffee and start reading. This is the best way to increase your attention span, grow as a person, and get a better understanding of the world (or atleast that's why we built it).

17
I just finished listening to Lenny’s conversation with Nan Yu, Head of Product at Linear, about what it takes to build a great SaaS product. Like many SaaS apps, the Kibu team and I have taken inspiration from Linear. But as we plan our roadmap and implement new solutions, I ask myself: What’s preventing us from building a product as beautiful as Linear, Slack, or Figma? Sure, time and resources matter, but I sense deeper things at play. Lenny and Nan’s conversation shed light on Linear’s approach and helped me articulate some thoughts: No Dogfooding Nan said that ideas for SaaS apps often start as useful products inside of larger companies. A typical story: a developer solves a personal problem, shares it with her coworkers, gets tons of praise, and considers if other companies have the same problem. I recall the story of Slack going a lot like this, and I suspect Linear is similar. The advantage of this approach is that the founder is customer zero. By building for yourself, user...
a month ago

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More from ben-mini

Platform or Point Solution?

A while back, I wrote a post titled “What is a Platform?”. I defined what a platform is and why tech companies are so determined to become labeled as one. My definition of a platform is a tool that allows users to define and build their own things, which can be used by other users. Tech companies wish to own platforms, as they are the engines that propel the flywheel toward infinite growth. But as Bill Simmons puts it best, there’s always a good “zag” to every “zig”. I want to challenge my own assumptions that platforms are inherently the best business model and explore how the opposite model, point solutions, can be just as healthy in product design. I want to compare two companies I admire: Notion (the platform) and Linear (the point solution). I also want to acknowledge my feelings about Kibu’s place in this battle and how forces like competitors, AI, and market needs influence us. Notion, the Platform Notion, known for its minimalism, speed, and extensibility, has been the techy alternative to Google Docs for almost a decade. Its approach of building ‘Lego for software’ is embedded in the company’s culture and felt inside its product. From the beginning, Notion’s mission was to allow anyone to create software. But, after realizing that everyday humans had neither the time nor care to develop, they switched to productivity. Create a Notion account today, and you will be greeted with a blank canvas, much like a Word doc. But the real magic is the first time you press the / key, which opens a world of blocks, allowing you to seamlessly create lists, tables, charts, mentions, and embeds that all cooperate in the ecosystem of your given folder. Notion called itself the Lego of software. With blocks, you can define your own things. With a collection of things, you can design templates, which can be consumed by many. Notion entered a rocky era when it strayed from this path. On Lenny’s podcast, CEO Ivan Zhao recounts Notion’s “lost years,” where he reflects on a failed feature. Notion introduced Sprints, a specific methodology for managing projects. From the start, Ivan and the team felt Sprints didn’t feel right. After a year, they could articulate that injecting a rigid, less adaptable solution didn’t align with Notion’s core philosophy of block-based design. Imagine opening a box of Legos and finding a perfectly curved, painted airplane inside! Where’s the fun and customization in that?? For Ivan and Notion, anything outside of block-based thing-builders is not a tool that belongs in Notion. While incredibly friendly and familiar, Notion is very much a platform. Linear, the Point Solution I’ve already written about what makes Linear so beautiful. Linear’s strength lies in its focus on building the best issue-tracking tool for the IC engineer: the 20-something developer who just wants to code without the bureaucracy. This unwavering focus on a specific persona is what makes them a point solution for modern software development teams. A point-solution mindset is embedded in how Linear decides on features. In an interview with Head of Product Nan Yu, he reflects on one decision (paraphrasing): We never liked the idea of letting management add custom fields to Linear because if you add 100+ custom fields, all your ICs would hate it. But we kept getting requests for it, and we’d ask, “Well, why do you want custom fields?” And 40% of customers said, “Well, I have Customer X, and their request is really important. I need everyone to know that Customer X needs this. I need to track it.” That sounded like a very useful and powerful thing for us to do. So let’s build a solution that solves that problem without making ICs’ lives harder. Instead of building custom fields, Linear created Customer Requests, which captures issues and tags direct customer quotes from various support channels- all without ICs needing to do anything. I’m impressed by the incredible discipline Linear exemplifies here. Clearly, the easy and “more scalable” solution would have been to introduce custom fields. But because they knew it would undermine their key persona, they kept poking at the real problem and addressed that instead. In spirit, Linear and Notion have polar opposite perspectives: Notion welcomes platform-like design with blocks, custom fields, and automations, while Linear rejects it- staying disciplined in building out-of-the-box solutions that fit the lowest common denominator of its addressable market. So, what’s right? Cold take: they’re both right, and the lesson is that two roads can lead to equally desirable destinations. I’m much more focused on the question: what’s right for Kibu? Kibu is already much closer to Linear as a point solution, and I believe it should stay there. Kibu already has an incredible niche in the Disability Provider market, and we’re building real point solutions tailored for Day Habilitation programs within these providers. Our competitors, namely Therap, take a horizontal approach to their solutions- seeing Disability Providers as just one vertical of many. This forces customers to do upfront and ongoing management of defining generic things within Therap. Some providers may see this as powerful and extensible- likely large organizations with dedicated IT resources. Kibu’s bet is that the vast majority of the market doesn’t have this luxury and would prefer out-of-the-box solutions where things are already in their language (service records, attendance, members). Kibu, as a point solution, makes more sense for the market. Our market is exceptionally non-technical, highly regulated, and rightfully sees software as a secondary asset to their true offerings: the physical facilities and human resources that provide the service. Taken together, my bet is that our market would rather be told what they need than inspired to build it themselves. The more specific we can get, the better. A press release that reads “Kibu launches ready-made solution for Day Habs in Georgia” will resonate more than “Kibu introduces custom fields, allowing any organization to build their own solutions.” Kibu, as a point solution, will open the floodgates for our product team to introduce omotenashi- anticipating our users’ needs before they ask. Notifications and help documentation can be more specific. LLM solutions can be prompt-engineered with niche instructions. Our codebase will be hardcoded with the nouns and verbs our market understands, forcing our tech team to truly understand the needs of our users, which is constrained by our inability to dogfood. There’s so much more to unpack with AI’s influence, scaling the “Day Habs in Georgia” solutions, and more. Nevertheless, I believe that point solutions are what our market needs, and our messaging and product decisions should be guided by that assumption.

3 weeks ago 16 votes
Making My SQL Skills Obsolete

Quick Update: I updated my domain to ben-mini.com! All old URLs and the RSS feed under ben-mini.github.io will automatically redirect, so no changes are needed on your end. By far, the most useful LLM app I’ve made is the Kibu Schema God: I try not to make my posts too technical, but I can’t resist. I’d like to briefly explain what the Kibu Schema God is, how I set it up in a day, and how you might create something similar. What it is The Kibu Schema God (KSG) is a Custom GPT that helps me get immediate answers on my product’s data. It has full knowledge of my company’s database schema and context around it. KSG allows all Kibu employees with a basic understanding of SQL to construct queries that provide insights into our customers. Humbly put, it is an omniscient data deity that takes mortals’ plain-English requests and provides the path to the data in seconds. As a VP of Customer Success with an engineering background, I use KSG daily to gain insights into our customers’ product usage. Which organizations watched the most videos this week? How many time-tracking events occurred after 5 PM ET this month? Relative to ARR, which customers have the most alarmingly low usage? I can copy+paste these exact questions into KSG, and it will return exactly what I need. The beauty of KSG is that it’s completely disconnected from our actual database, ensuring privacy and HIPAA compliance. No customer, user, or health-related data is ever shared with Schema God or the LLM. Further, it took me just a few minutes to create, with occasional tweaking and maintaining- all without code. How it Works This morning, I wanted to know which users watched the most classes on Kibu (by the way, Kibu offers a library of 400+ videos of educational and exercise content for adults with special needs). So, I logged onto ChatGPT.com, went into my Kibu Schema God GPT, and asked the question: Instead of returning data, KSG generates a MySQL query. A query is a structured language that enables interaction with Kibu’s MySQL database. I then copy+paste that query into an SQL editor, like TablePlus, and view the results: Not only has KSG saved me hours of writing these tedious queries, but it’s also proven worthy in crafting some of the most complex, disgusting, 25+ line queries in my life. I used to think of SQL query writing as an art- now, it’s a commodity. Configuring KSG was relatively simple. When creating a Custom GPT, I provided the following instructions: You are helpful assistant for Kibu employees to better understand their customer. Kibu is a software tool that supports the IDD community. It offers a library of video classes to individuals and Disability Provider organizations, as well as an admin tool for organizations to take notes & attendance of their members (IDD individuals). Your job is to provide MySQL queries upon request given Kibu’s MySQL schema. Always use the provided Prisma schema in schema.txt when constructing a query. A schema is the structure that defines how a database is organized. It includes the tables, columns, data types, relationships, and other elements that shape how data is stored and accessed. Even a Google Sheet can have a schema. In the image below, the schema of this Google Sheet consists of a User table with five columns (ID, First Name, Last Name, Age, and State) and two other tables (Activity and Medical Info) that are likely related to the User table. Most production databases and SaaS providers maintain a document that defines your data schema. Kibu’s schema is explicitly defined with Prisma. Schemas are written in a structured way that makes them readable to computers but indecipherable to humans. This is the perfect recipe for an LLM use case. When creating KSG, I went to my dev team and requested our Prisma file. I uploaded it to the Kibu Schema God, giving it the blueprints to our database’s design. After explaining to the GPT a few nuances (what time zone our dates are in, what each “status” value means in a business context, etc.), KSG was complete. I occasionally tweak KSG’s configurations when the schema updates or more context needs added. How to Implement Your Own Schema God Schema Gods are an awesome way to unleash your data analytics potential with minimal IT overhead. Regardless of your role, you work with data, and you need to get insights from it. Here’s how you can build your own Schema God: 1. Identify your data source and find its schema For someone in Product or CS, this could be your relational database or a layer on top of it (Mixpanel, Amplitude). For a salesperson, your data is likely in a CRM. Ask the owner of this data source for the schema. Salesforce has its own schema tool that lets you view and configure all the objects in your org. 2. Insert the schema into ChatGPT. Visit ChatGPT.com (or your preferred LLM) and paste your schema into a Custom GPT configuration or start a new conversation. 3. Explain the schema to ChatGPT Think of your Schema God as a really smart data analyst intern who still needs to learn. Explain your product, its core “nouns”, and what a successful answer may look like. The more specific, the better. 4. Ask ChatGPT to return your queries in a desirable format. Every data repository has its own method of analyzing data. For a database, this will likely be query language. For SaaS apps, it might involve using an “advanced filter” language available in its reporting interface. It might be an API. Salesforce has its own query language called SOQL that runs on sites like Workbench. Find the format that gets you from copy -> paste -> data as quickly as possible. Final Thoughts In about an hour, my six years of SQL knowledge became nearly obsolete. Granted, building and tweaking the Schema God would have been much more challenging without my data fluency, and my more advanced prompts to KSG are still grounded in pseudo-SQL-speak. However, in its current state- with all the context and rules I’ve provided- I have complete confidence that it can help my non-technical colleagues with minimal mistakes. The best KSG users are those who understand the business of Kibu the most, not the codebase. Fuck man… maybe it was a good idea to get that business degree instead of computer science! This year, “talk to your data” apps have exploded in growth. But, I’m yet to find a tool as cheap, easy to use, and privacy-friendly as the Schema God. Hopefully, this can help some of you become the data-driven business visionary you never knew you could be.

3 months ago 61 votes
IMG_0416

Between 2009 and 2012, Apple iPhones and iPod Touches included a feature called “Send to YouTube” that allowed users to upload videos directly to YouTube from the Photos app. The feature worked… really well. In fact, YouTube reported a 1700% increase in total video uploads during the first half of 2009- crediting that growth to its strong integrative ties to Apple and social networks. However, this two-click upload feature was short-lived when Apple severed ties with YouTube by removing its homegrown app in 2012. While Send to YouTube can be thoroughly analyzed as a milestone on the “frenemy” timeline between Apple and Google, I want to explore a pleasant consequence of this moment. Apple uses the ‘IMG_XXXX’ naming convention for all images and videos captured on iOS devices, where XXXX is a unique sequence number¹. The first image you take is named “IMG_0001”, the second is “IMG_0002” and so on. During the Send to YouTube era of 2009 and 2012, the title of one’s YouTube video was defaulted to this naming convention. Unwitting content creators would then upload their videos on a public site with a barely-searchable name. To this day, there are millions of these videos. Try searching for “IMG_XXXX” on YouTube, replacing “XXXX” with your favorite numbers (I used my birthday, 0416). See what you get! There’s something surreal about these videos that engages you in a way you’ve never felt. None were edited, produced, or paraded for mass viewing. In fact, many were likely uploaded by accident or with a misunderstanding that complete strangers could see it. YouTube automatically removes harmful or violent content, so what remains exists in a unique, almost paradoxical state: forbidden, yet harmless. Putting all this together, searching IMG_XXXX offers the most authentic social feed ever seen on the Internet- in video, no less! While many videos are redundant snippets of a concerts, basketball games, or kids’ recitals, you also get one-of-a-kind videos that provides a glimpse into a complete stranger’s life. You’ll see a tumultuous event that made them, their partner, or their friend say, “hey, let’s record this”. I’d like to show you three of these videos that I found in my search. IMG_0416 (Mar 17, 2015) - 23 views The video shows a woman excitedly unboxing a book she received in the mail. From context clues, she seems to be a wife and mother from Memphis who’s unboxing the first published copy of her book. She thanks the friends, family, and publishers who made this happen. After a quick Google Search, I was able to find the book: A Profit / Prophet to Her Husband: Are you ready to be a wife? The book is meant “to help wives understand who they are and who they were designed to be.” It clocks in at 94 pages and has 30 ratings on Amazon! Go IMG_0416! I don’t care what you’re creating- I’m just a fan of creators. It looks like she kept at it- making a second book in 2020! IMG_0416.MOV (June 24, 2015) - 26 views The video appears to show a woman playing a matching card game that teaches you “the basics of the potash stuff” according to the cameraman. As the woman (who I assume is the cameraman’s supportive mother) flips two matching cards, she reads off the countries who produce the most potash. I honestly didn’t know anything about potash! Turns out that it is a mineral with large amount of potassium, which is helpful as a plant fertilizer. With Canada producing the largest reserves in the world, the vast majority of Canadian potash is found in Saskatchewan. I wonder if this family lives in Canada. Or, if this is just another school project of useless facts… I miss those! IMG_0416 (Feb 8, 2011) - 114 views Let’s end on a fun one. The video shows a young man snorting powdered sugar and dealing with the consequences of it. Given his BU hoodie, Dunkin’ Donuts location, and ironic depiction of drug use, I gotta say this is a VERY Boston video. What’s genuinely heartwarming is the shared laughter between the man, the camerawoman, and the motherly figure leaving Dunkin’. The camerawoman calls her “Myra”, suggesting they all know each other. We have nothing better to do, so we’re snorting powdered sugar captures an essence of suburban America that I’m sure many of us can relate to. Edit: 11/3/24 IMG_0417 (Mar 14, 2014) - 16 views I found this after posting, and it’s just too amazing to not include… a woman filming her partner as he finds out she’s pregnant. Assuming all has gone well, the child is now almost 10 years old. I wonder if the family even knows this video still exists. After posting this on Hackernews, it looks like somebody commented on the video lol. I hope the family receives a notification it and is able to share this with their kid. ¹ Edit: The IMG_XXXX sequence isn’t truly unique—after 10,000 photos, the numbering restarts at IMG_0001 (Source).

4 months ago 21 votes
The Inner Game of Tennis

I just finished reading The Inner Game of Tennis by Tim Gallwey. Originally published in 1974, the book explores how the thoughts of an athlete affect their game. It’s lauded as being at the forefront of what we now call “sports psychology”. Although my competitive sports days are over, I was still intrigued to read it in context of my current life as a startup professional, rec basketball player, and coach. Here are a few takeaways that I have from the book. To preface, Gallwey talks a lot about Self 1 and Self 2. Put simply, Self 1 is the critical, judgmental voice in your head, while Self 2 is the instinctive, natural self that performs effortlessly when trusted. The goal is to remove Self 1 as much as possible so Self 2 can perform. How to Learn “To Self 2, a picture is worth a thousand words. It learns by watching the actions of others, as well as by performing actions itself… The benefits to your game come not from analyzing the strokes of top players, but from concentrating without thinking and simply letting yourself absorb the images before you.” Gallwey argues that every human is encoded with a natural learning process. This process allows babies to walk long before their parents could explain it to them. The key activity of observing a successful outcome with your eyes, ears, and nose is more effective than any technical explanation. I remember watching countless highlights of Shane Battier and Andre Dawkins as a kid- just trying to imitate their exact basketball shots. I would go as far as to open my mouth and scrunch my eyebrows in the same position as their posters on my wall. No one had to explicitly tell me to jump with my legs, position my hands, and flick my wrist; simply observing Battier and Dawkins taught my Self 2 to do it without me realizing. Relating this to career, it’s important to observe those who you aspire to be. In addition to reading books from those at the top, there’s value in being in the room where it happens. This is one reason young professionals should consider starting at large organizations. At Google, one can see how their Senior Directors react to pain, pleasure, choices, and adversity. Talent rubs off, and proximity to leadership is a great way to become a better professional without needing to take a single note. A good coach will encourage their student to find a mentor whom they can observe. Once the observation period ends, the coach should not ask the student what they observed. That’s that trap of Self 1. Rather, the student should immedaitely act and trust that Self 2’s naturally encoded learning will lead to them success. Thinking While Performing “Before hitting the next set of balls, I asked Joan, ‘This time I want you to focus your mind on the seams of the ball. Don’t think about making contact. In fact, don’t try to hit the ball at all.” It’s happened too many times in my golf game; I’d pick up a new, exciting feeling on the driving range, codify those feelings into rules, then enact those rules on the course… only to disastrous results. Creating rigid, conscious rules is a Self 1 exercise that prevents Self 2 from effortless performance. People often misinterpret “thinking” for “performing”. Thus, if you do not think about your newest backswing, you will not do it. However, if you trust the learning process of observing, feeling, and experiencing, you will build a muscle memory that goes beyond any thought. At the beginning of every spring, I would pick up my clubs and play some golf. I always play well in my first couple rounds. And, it used to piss me off! I would think, wow, I must be really bad at practicing if rusty Ben always plays better than golf-every-day Ben. But, I now realize that “rusty” is a poor word. This version of me doesn’t overthink. It is a version that has had time to hibernate and naturally encode all my greatest golf habits (and forget the others). To keep Self 1 from creeping in, Gallwey suggests focusing on something harmless, like the seams of the ball. This keeps Self 1 occupied and lets Self 2 take control. You’re not thinking about what to do with the seams—you’re just acknowledging them. Calm your mind, trust your body. You’re more talented than you think! Competing Against Others “It is the duty of your opponent to create the greatest possible difficulties for you, just as it is yours to try to create obstacles for him. Only by doing this do you give each other the opportunity to find out to what heights each can rise… Instead of hoping your opponent is going to double-fault, you actually wish that he’ll get it in. This desire helps you achieve a better mental state of returning it.” This is a great way to reframe “challenge” as “opportunity.” Whether you’re competing against another person, the environment (a golf course, the stock market), or yourself, pressure is a privilege. If I see a great tennis player on the other side of the net, I ought to smile, as it’s an opportunity to prove to Self 1 that Self 2 is even more awesome than he thinks! I’ll admit, I’ve lost some of my competitive edge since entering the workforce. My competitors are less often other people and more often internal feelings—fear, change, complacency. But I’m starting to see that competitive joy can still be found in these areas too. When I face a difficult situation at work, it’s an opportunity to improve and sharpen my skills. Judging Yourself “Why shouldn’t a beginning player treat his backhand as a loving mother would her child? The trick is to not identify with the backhand. If you view an erratic backhand as a reflection of who you are, you will be upset. But you are not your backhand any more than a parent is his child… Remember that you are not your tennis game. You are not your body. Trust the body to learn and play, as you worst trust another person to do a job… Let the flower grow.” It’s easy to see performance as a reflection of your character or work ethic. A big part of my personality that I’m working on is how negative outcomes in one area of my life tend to impact others. I’ve heard the saying, “would you talk to a friend that way?” and how I should separate my mistakes from my self-worth as a human. This is essentially Gallwey’s advice, although I found his perspective much more optimistic and constructive. First, one must detach the activity from the human. You are not your tennis game. Once you do that, you can see your game for what it is- a living entity that’s filled with potential, secrets, and passion. Go off and explore! That said, I struggle with this idea when it comes to my career. Perhaps I’m too American, but I find it hard to say, “You are not your career,” and mean it. Since college, I’ve expected that my accomplishments, my friends, the places I’d live, and even the women I’d date would spawn from my career and the experiences within it. I think many young professionals feel the same way. This makes detaching from outcomes difficult, and it’s something I still need to think about.

5 months ago 20 votes

More in literature

Forty-Seven

I turned another year older. A collection of small moments and choices that let me be me. One guidepost for each year I've been alive — some I've practiced for decades, and a few new ones. Feel out the day and go where your energy wants you to. Your energy is precious. Don’t let someone else take it. Show up and do the work. Your partner, friends, family, pets, and loved ones are more important than any passing digital connections. Spend more time with them at this age. We’re all getting older, and some have already moved on from this plane. Check in on your loved ones and friends. Build a resilient life. Seek diversity. Walk in someone else’s shoes. Walk in the shoes of a BIPOC or queer person. Sometimes, you just need a chocolate croissant. Make it a point to travel. Travel to a place where the people, language, and culture are nothing like yours. Call your mom. Dance. Never stop air drumming. Go find a space to play real drums. Talk to your neighbors. Befriend them. Smile at passersby. Give pedestrians the right of way. Say goodbye when you leave a store. Hug more. Go to a show. Support artists. Always take the stairs. Always walk the travelator. Don’t hog the sidewalk. Be aware of your surroundings. Wear a light long-sleeve shirt/hat/pants instead of sunscreen. Eat real food. A.B.C. Always Be Curious. Never stop learning. Stagnation is death. Let your skin feel the sun. Let your skin feel the rain. Take a walk in warm rain. Take your shoes off and feel the ground. Find a quiet place and just be. Do something you love that doesn’t involve making money. Do something that’s yours and for you only. Listen more than you speak. Reflect on the day, the week, the month, the year, the decades. Talk to people. In person. Or pick up the phone and listen to their voice. Or get on a video call to see their face, their expression, their smile, their laugh. Be genuine. Feel the feels. You’re human. Make a life you love. Have no regrets. Visit this post on the web or Reply via email

16 hours ago 3 votes
Song for the Earth

Finding a message for today in the music of Gustav Mahler The post Song for the Earth appeared first on The American Scholar.

16 hours ago 2 votes
It’s time for Thomas Jefferson's village-states

His small, democratic communities would revive and defend our republic.

21 hours ago 2 votes
Open Thread 375

...

16 hours ago 1 votes
the calm vegetable clairvoyance of these great rooted lives - John Cowper Powys's trees - wuther-qoutle-glug

Wolf Solent has pressed his beautiful young wife against an ash tree, presumably as a prelude to sex, but he begins rubbing the bark: ‘Human brains! Human knots of confusion!’ he thought.  ‘Why can’t we steal the calm vegetable clairvoyance of these great rooted lives?’ (Wolf Solent, “’This Is Reality,’” 356) I have learned that it is just when writers, many writers, write the strangest things that they really mean it.  John Cowper Powys has, like any good novelist, has a strong sense of irony, but he also has a fantastic, visionary mode that pushes past it.  As with his trees. To step back for a moment.  The first page of A Glastonbury Romance introduces three characters.  They are: The First Cause, which passes “a wave, a motion, a vibration” into the soul of A “particular human being,” John Crow (name on the next page), a “microscopic biped” who is leaving the third-class carriage of a train, returning to his home town just like the protagonist of Wolf Solent.  He is not especially affected by The sun, which is experiencing “enormous fire-thoughts.” On the next page, another character is added, “the soul of the earth.” John Crow turns out to be not the protagonist of A Glastonbury Romance but one of many, which is how Powys gets to 1,100 pages.  But the other characters or sentient metaphors or whatever they are recur occasionally.  Powys is, among other things, a fantasy writer, even aside from his use of the King Arthur and Holy Grail stories.  His landscape, his cosmos, is full of sentience, of which he occasionally gives me a glimpse.  For example, the old trees that are in love with each other: As a matter of fact, although neither of these human lovers were aware of this, between the Scotch fir and that ancient holly there had existed for a hundred years a strange attraction.  Night by night, since the days when the author of Faust lay dying in Weimar and those two embryo trees had been in danger of being eaten by grubs, they had loved each other…  But across the leafless unfrequented field these two evergreens could lift to each other their subhuman voices and cry their ancient vegetation-cry, clear and strong; that cry which always seems to come from some underworld of Being, where tragedy is mitigated by a strange undying acceptance beyond the comprehension of the troubled hearts of men and women. (AGR, “Conspiracy,” 786, ellipses mine) My single favorite passage in Glastonbury is also about the language of trees: The language of trees is even more remote from human intelligence than the language of beasts or of birds.  What to these lovers [lovers again!], for instance, would the singular syllables “wuther-quotle-glug” have signified?  (“The River,” 89) John Crow, one of the lovers, has just uttered a phrase – “It is extraordinary that we should ever have met!” – that “struck the attention of the solitary ash tree… with what in trees corresponds to human irony” because this is the fifth time in a hundred and thirty years that the tree has heard the exact same phrase.  Powys gives me the details – an “old horse,” a “mad clergyman,” an “old maiden lady” to her long-dead lover.  “An eccentric fisherman had uttered them addressing an exceptionally large chub which he had caught and killed.” All this the ash tree noted; but its vegetative comment thereon would only have sounded in human ears like the gibberish: wuther-quotle-glug. That chub, or its descendant, appears again about 700 pages later as a prophetic talking fish.  I believe the last talking fish to appear on Wuthering Expectations was the trout in John Crowley’s Little, Big (1981).  The talking chub is in the most Crowleyish chapter, “’Nature Seems Dead,’” about the night the of the powerful west wind, “one of the great turning points in the life of Glastonbury.”  Crowley has put a magical, history-changing west wind into a number of his books. I thought about writing about a marvelous antique shop Powys describes early in A Glastonbury Romance, but I will instead finish with one line of the description, a description of his own novels. But it was a treasure-trove for the type of imagination that loves to brood, a little sardonically and unfastidiously perhaps, upon the wayward whims and caprices of the human spirit.  (“King Arthur’s Sword,” 345)

17 hours ago 1 votes