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Show HN: I was tired of opening 2 tabs for every HN link, so I made a userscript

HN is great for the links people share, but a big part of the value I get comes from reading the discussion around them. I realized I was always opening the article in one tab and the comments in another, constantly switching back and forth.<p>I figured there was probably a simpler way, so I threw together this userscript to merge the two.<p>1. Clicking a link from Hacker News opens the article with a side panel containing the discussion. It doesn't require your credentials, is resizable, and is easy to tweak if you want to customize it.<p>2. If you land on an article that has previously been shared on HN, the script finds the existing discussion and adds a button in the top-right to open the panel.<p>Feedback welcome.

Show HN: Physically accurate black hole you can put in your room

We have a black hole at home — with actual relativistic physics, live in your browser.<p>I'm Sasha (Alexander) Plavin, an astrophysicist at Harvard's Black Hole Initiative studying quasars and black hole environments. I work with raytracing/radiative transfer simulations professionally, and wanted to make one anyone can play with — so I built this app.<p>Put the black hole onto your screen (any browser), or directly into your room with AR or VR (requires WebXR, for example Chrome on Android, or any VR headset). When looking around, pay attention to unintuitive relativistic effects: rays bending around the black hole, and special relativistic "Doppler boosting" changing brightness depending on the viewing angle — zoom out to see the fast jet where the latter effect is especially pronounced. Faint markers show where other viewers are standing right now.<p>Alternatively, put the black hole in front of your camera and watch it lens your actual surroundings. Light winds around the hole, so you see both what's in front of you and what's behind you at once (when the device and browser allow both camera feeds). The closer to the black hole, the stronger the bending — and the longer the light-travel delay: wave at it and watch the changes propagate inward. (unfortunately, WebXR restrictions make AR passthrough and the camera feed mutually exclusive)<p>No signup, basic features work on every device, no data uploaded — the camera feed never leaves your device. Source code: <a href="https://github.com/aplavin/blackhole.plav.in" rel="nofollow">https://github.com/aplavin/blackhole.plav.in</a>.<p>Enjoy having a black hole in your room, or use it for education/outreach — any questions, feedback, or suggestions are welcome!

Show HN: Physically accurate black hole you can put in your room

We have a black hole at home — with actual relativistic physics, live in your browser.<p>I'm Sasha (Alexander) Plavin, an astrophysicist at Harvard's Black Hole Initiative studying quasars and black hole environments. I work with raytracing/radiative transfer simulations professionally, and wanted to make one anyone can play with — so I built this app.<p>Put the black hole onto your screen (any browser), or directly into your room with AR or VR (requires WebXR, for example Chrome on Android, or any VR headset). When looking around, pay attention to unintuitive relativistic effects: rays bending around the black hole, and special relativistic "Doppler boosting" changing brightness depending on the viewing angle — zoom out to see the fast jet where the latter effect is especially pronounced. Faint markers show where other viewers are standing right now.<p>Alternatively, put the black hole in front of your camera and watch it lens your actual surroundings. Light winds around the hole, so you see both what's in front of you and what's behind you at once (when the device and browser allow both camera feeds). The closer to the black hole, the stronger the bending — and the longer the light-travel delay: wave at it and watch the changes propagate inward. (unfortunately, WebXR restrictions make AR passthrough and the camera feed mutually exclusive)<p>No signup, basic features work on every device, no data uploaded — the camera feed never leaves your device. Source code: <a href="https://github.com/aplavin/blackhole.plav.in" rel="nofollow">https://github.com/aplavin/blackhole.plav.in</a>.<p>Enjoy having a black hole in your room, or use it for education/outreach — any questions, feedback, or suggestions are welcome!

Show HN: Reverse Minesweeper

Show HN: Reverse Minesweeper

Show HN: I mapped every US golf course

I got tired of Googling basic course info, so I made a free directory of every US course<p>Google filters for golf course results are terrible so I built a better way to browse courses using OSM as the backbone.... <a href="https://golfcoursebrowser.com/" rel="nofollow">https://golfcoursebrowser.com/</a><p>It's a work in progress and mostly US for now, but I want to expand to the rest of North America, the EU, and the rest of the world ASAP.<p>It's free, no ads, no login, no bs. If you spot anything wrong (bad info, a missing course, wrong scorecard), you can flag it right on the course page. I actually read those and fix them.<p>Still a lot of missing info, but I'm filling out more and more each day. The goal is the most complete, and current golf course directory in the world, verified and maintained by actual golfers. I think is attainable in the next few months. The base layer is OpenStreetMap, cross-checked against course websites and enriched with scorecards, USGA rating/slope, and public/private status. User corrections from golfers who know their home course have beaten every commercial data source we check against.

Show HN: I mapped every US golf course

I got tired of Googling basic course info, so I made a free directory of every US course<p>Google filters for golf course results are terrible so I built a better way to browse courses using OSM as the backbone.... <a href="https://golfcoursebrowser.com/" rel="nofollow">https://golfcoursebrowser.com/</a><p>It's a work in progress and mostly US for now, but I want to expand to the rest of North America, the EU, and the rest of the world ASAP.<p>It's free, no ads, no login, no bs. If you spot anything wrong (bad info, a missing course, wrong scorecard), you can flag it right on the course page. I actually read those and fix them.<p>Still a lot of missing info, but I'm filling out more and more each day. The goal is the most complete, and current golf course directory in the world, verified and maintained by actual golfers. I think is attainable in the next few months. The base layer is OpenStreetMap, cross-checked against course websites and enriched with scorecards, USGA rating/slope, and public/private status. User corrections from golfers who know their home course have beaten every commercial data source we check against.

Show HN: I mapped every US golf course

I got tired of Googling basic course info, so I made a free directory of every US course<p>Google filters for golf course results are terrible so I built a better way to browse courses using OSM as the backbone.... <a href="https://golfcoursebrowser.com/" rel="nofollow">https://golfcoursebrowser.com/</a><p>It's a work in progress and mostly US for now, but I want to expand to the rest of North America, the EU, and the rest of the world ASAP.<p>It's free, no ads, no login, no bs. If you spot anything wrong (bad info, a missing course, wrong scorecard), you can flag it right on the course page. I actually read those and fix them.<p>Still a lot of missing info, but I'm filling out more and more each day. The goal is the most complete, and current golf course directory in the world, verified and maintained by actual golfers. I think is attainable in the next few months. The base layer is OpenStreetMap, cross-checked against course websites and enriched with scorecards, USGA rating/slope, and public/private status. User corrections from golfers who know their home course have beaten every commercial data source we check against.

Show HN: Brolly, a plain-text weather forecast site

The UK MET office recently redesigned their site, adding a lot of additional whitespace, scrolling, and animations. This significantly reduced its usability for me, and left me wanting an ‘at a glance’ weather site.<p>I made <a href="https://brolly.sh" rel="nofollow">https://brolly.sh</a>, a minimalist, plain text weather forecasting site. You can use it to view weather from around the world, with: 7 day forecast; Previous day log (so you can confirm it definitely was cooler / hotter / wetter / drier yesterday!); Hourly rain, wind, temperature, conditions; Hourly UV, air quality and pollen, including pollen type specific forecasts within the EU / UK; Location search and last 5 locations; Location specific units.<p>I mostly made the site for myself, if anyone else also benefits from it that’s an added advantage.<p>You can check out the weather in York, UK at <a href="https://brolly.sh/forecast/RWFP2qW8" rel="nofollow">https://brolly.sh/forecast/RWFP2qW8</a>, or search for a location at <a href="https://brolly.sh" rel="nofollow">https://brolly.sh</a><p>The site is deliberately styled as a single long scrollable column, to work on mobile phones. You can view it on desktop too, there's just a lot of horizontal padding. I naturally took a lot of inspiration from plaintextsports.com. Despite not being a sports fan, I love its aesthetic. But, you'll hopefully see that this site isn't a rip off, and has its own deliberate look and feel.<p>Visualisations are really important to showing information at a glance. I spent a lot of time designing the different visualisations and making them work with only characters. My favourite is the hourly heat map used for pollen count.<p>It's also frustrating to have an interactive site, where you can't share a page with a friend and have them see what you're seeing. To solve this, all page state (i.e. location, selected day, expanded / collapsed sections), is stored in the URL. You can share or bookmark the specific view, and know that you'll always be able to come back to it.<p>The site uses PocketBase. It’s written in Go and plain HTML/JavaScript/CSS. All pages are backend rendered, with light JavaScript to handle re-loading content without page jumps when using interactive features like next / previous day navigation. Weather forecasts are fetched from open-meteo.com, which has a very generous free tier. However, I also built a custom LRU cache on top of PocketBase’s SQLite DB to cache forecasts for 5 minutes, and avoid putting unnecessary pressure on the open-meteo API.

Show HN: I simulated closing the Strait of Hormuz on real oil trade data

OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade.<p>The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked.<p>Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0 oil from Hormuz directly, yet their reserves are depleted faster because other countries reactively increase their safety oil stock, increasing oil price, making stockouts more expensive for everyone.<p>The model also gives price dynamics which are interesting on their own: the price increase is not immediate, it follows sequentially as countries reserves deplete.<p>Some caveats: 1. For producer nodes, depletion means their export slack is reduced/exhausted. 2. No sanctioned trade (UN Comtrade data)<p>Technical Details: The visualization is 600 lines of flask plus js frontend (LLM assisted visualization with ground-truth matching the original numerical exercise of the paper)<p>Paper with proofs/theory: <a href="https://arxiv.org/abs/2607.17491" rel="nofollow">https://arxiv.org/abs/2607.17491</a>

Show HN: I simulated closing the Strait of Hormuz on real oil trade data

OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade.<p>The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked.<p>Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0 oil from Hormuz directly, yet their reserves are depleted faster because other countries reactively increase their safety oil stock, increasing oil price, making stockouts more expensive for everyone.<p>The model also gives price dynamics which are interesting on their own: the price increase is not immediate, it follows sequentially as countries reserves deplete.<p>Some caveats: 1. For producer nodes, depletion means their export slack is reduced/exhausted. 2. No sanctioned trade (UN Comtrade data)<p>Technical Details: The visualization is 600 lines of flask plus js frontend (LLM assisted visualization with ground-truth matching the original numerical exercise of the paper)<p>Paper with proofs/theory: <a href="https://arxiv.org/abs/2607.17491" rel="nofollow">https://arxiv.org/abs/2607.17491</a>

Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

I’ve been building Echo (<a href="https://echo.tracerml.ai/" rel="nofollow">https://echo.tracerml.ai/</a>), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task.<p>It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined.<p>That hypothetical system performed substantially better than any individual model in the pool. Of course, it is not something you can actually deploy because it relies on knowing which decisions were good after seeing the result. Echo is my attempt to recover some of that advantage without having that information in advance.<p>For each request, Echo decides how much computation to allocate, which models should participate, and how their work should be combined. Some prompts may only need a relatively small amount of inference, while others benefit from multiple models working on different parts of the problem.<p>One thing that surprised me while building it was how complementary the models are. A model that is clearly weaker overall can still be extremely useful on particular problems or as part of a combination.<p>On my first evaluation mix, Echo consistently performed better than the best individual model in its pool. It also reached roughly the same aggregate result as Fable, which I used as one of the stronger comparison systems, at around one third of the inference cost.<p>There are still some cases where Echo makes the wrong allocation or combination decision. I’m currently spending a lot of time understanding those failures, as well as testing whether the same approach holds up on coding and agentic tasks where measuring the quality of each decision becomes much harder.<p>I built a chat interface (echo.tracerml.ai) and an OpenAI-compatible API (<a href="https://echo.tracerml.ai/docs/api" rel="nofollow">https://echo.tracerml.ai/docs/api</a>) so the system can be tested outside the evaluation setup.<p>Here is a short/high level video on how it works: <a href="https://www.youtube.com/watch?v=lJFJSvOdXhg" rel="nofollow">https://www.youtube.com/watch?v=lJFJSvOdXhg</a><p>I wrote up the evaluation methodology, individual model results, costs and current limitations here: <a href="https://echo.tracerml.ai/eval" rel="nofollow">https://echo.tracerml.ai/eval</a><p>I would love for you to try it! Especially if you hit any weird failure cases or places where the allocation looks unintuitive.

Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

I’ve been building Echo (<a href="https://echo.tracerml.ai/" rel="nofollow">https://echo.tracerml.ai/</a>), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task.<p>It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined.<p>That hypothetical system performed substantially better than any individual model in the pool. Of course, it is not something you can actually deploy because it relies on knowing which decisions were good after seeing the result. Echo is my attempt to recover some of that advantage without having that information in advance.<p>For each request, Echo decides how much computation to allocate, which models should participate, and how their work should be combined. Some prompts may only need a relatively small amount of inference, while others benefit from multiple models working on different parts of the problem.<p>One thing that surprised me while building it was how complementary the models are. A model that is clearly weaker overall can still be extremely useful on particular problems or as part of a combination.<p>On my first evaluation mix, Echo consistently performed better than the best individual model in its pool. It also reached roughly the same aggregate result as Fable, which I used as one of the stronger comparison systems, at around one third of the inference cost.<p>There are still some cases where Echo makes the wrong allocation or combination decision. I’m currently spending a lot of time understanding those failures, as well as testing whether the same approach holds up on coding and agentic tasks where measuring the quality of each decision becomes much harder.<p>I built a chat interface (echo.tracerml.ai) and an OpenAI-compatible API (<a href="https://echo.tracerml.ai/docs/api" rel="nofollow">https://echo.tracerml.ai/docs/api</a>) so the system can be tested outside the evaluation setup.<p>Here is a short/high level video on how it works: <a href="https://www.youtube.com/watch?v=lJFJSvOdXhg" rel="nofollow">https://www.youtube.com/watch?v=lJFJSvOdXhg</a><p>I wrote up the evaluation methodology, individual model results, costs and current limitations here: <a href="https://echo.tracerml.ai/eval" rel="nofollow">https://echo.tracerml.ai/eval</a><p>I would love for you to try it! Especially if you hit any weird failure cases or places where the allocation looks unintuitive.

Show HN: HN Hall of Fame – browse 3,100 legendary Hacker News links

Show HN: Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)

Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness.<p>To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it.<p>Open it in a browser and then you can edit, present, print and save. Share it via email or via Airdrop and all they need is a browser to edit, present and also do live collab on the slides. Drop it in to Claude or ChatGPT to transform existing pptx files into Bento slides. There is no cloud involved, only an encrypted blind relay to allow for shared editing. The relay doesn't see any of the data.<p>Check it out at <a href="https://bento.page/slides/" rel="nofollow">https://bento.page/slides/</a> which takes you straight to the editor.<p>Go to <a href="https://bento.page/guestbook/" rel="nofollow">https://bento.page/guestbook/</a> to try out the live guestbook to experience share editing / collab.<p>There is also a gallery with some sample decks on the website - <a href="https://bento.page/" rel="nofollow">https://bento.page/</a><p>All the code is MIT licensed and you can find it here - <a href="https://github.com/nyblnet/bento" rel="nofollow">https://github.com/nyblnet/bento</a> . I used reveal.js with several other libraries (including some homegrown ones), and Claude Code.

Show HN: Justif – Knuth-Plass justification and microtypography for the web

Justif is a drop-in JavaScript library that progressively enhances web pages to TeX-level text justification. Installation is a single <script> line, standard text and accessibility affordances are unchanged, and users with JS disabled get native browser rendering.<p>I made justif because I've long been a fan of justified text. I think it looks clean and elegant, and makes reading more enjoyable. But bad justification is the opposite, with gaping spaces that distract me to the point of making the text near unreadable.<p>Browsers have got better recently at handling justified text [0][1], but still use suboptimal greedy algorithms for the most part, and are not near that TeX/InDesign level of quality that I crave. `text-wrap: pretty` exists but is far from a panacea, as you can see for yourself in the demo.<p>Justif also has the benefit of providing more consistent text layout across browsers. Blink (Chrome), Gecko (Firefox) and WebKit (Safari) all justify text differently, so normally what the user sees depends on what browser they use.<p>Take a look at the demo, play around with it, see if you can break anything. I'm open to improvements of the API design as well, so please let me know your thoughts.<p>For more details, see the README: <a href="https://github.com/lyallcooper/justif" rel="nofollow">https://github.com/lyallcooper/justif</a><p>0: <a href="https://cloudfour.com/thinks/justified-text-better-than-expected/" rel="nofollow">https://cloudfour.com/thinks/justified-text-better-than-expe...</a><p>1: <a href="https://owickstrom.github.io/the-proportional-web/" rel="nofollow">https://owickstrom.github.io/the-proportional-web/</a>

Show HN: Immersive Gaussian Splat tour of grace cathedral, San Francisco

Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s

I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think.<p>My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert.<p>It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but it fades into the background beyond that. Turns out these things are really cool, but absurdly expensive.<p>Ours was installed in 2008 and cost six figures. It's calculating ball speed and trajectory, camera-based pin detection (object detection and trig, on ICs!), runs the fouling, the animations, the pinsetting machine and ball return. Very cool stuff for its age.<p>From the business perspective, my facility only cost me $105k. To forklift-replace the score keeping system runs anywhere between $80-$120k, depending on features, vendor, and unit age. No upgrades or service contracts, mind you, and every feature and customization is a new line item. That's for a 1:1 replacement on a system installed in 2008. Incredible, given how fast the tech world moves.<p>Replacement parts cost a shocking $4000 per pair of lanes. But wait, the bowling machines themselves are 70 years old, so what's this "advanced" system actually doing back there? Actuating a single relay to trigger that big old machine. Everything else is strictly mechanical. Meanwhile I've got a six-figure invoice in my hand. I'm upset.<p>Given the state of open hardware, computer vision, real-time event streaming, and open source running megascale products worldwide, there had to be a way to do this myself.<p>So far I've built an equivalent prototype for about $200 per lane-pair, $400 if you're fancy. ESP32 and ESPNow with an RS485 fallback, reporting to a raspberry pi lane computer that's really just redis and a state machine bolted to an ESP32 gateway for the mesh.<p>Since it's all ESP32, I've got a fistful of spare controllers in a drawer, pre-flashed or waiting to be. All common off-the-shelf hardware: microcontrollers wired to relays, optocouplers, and IR-break-beam sensors, each running slightly different firmware. Writing the firmware and protocol is the actual hard part.<p>It's an ESPNow star-topology mesh: each node emits events from its sensors and accepts commands for its controls, reporting to a gateway node connected to the raspi over UART. From there it's event streaming: RX packets get translated and tossed into redis, commands relay back out to the mesh as needed. RS485 sits underneath as a wired fallback for noisy RF environments.<p>Once the data's in redis, it's familiar middleware/React/websocket/pub-sub stuff. Any React dev can build their own UI and bowling animations. Since it all runs on commodity hardware, I can do legit anything I want as the proprietor, and I own all my data. Repairs take five minutes; I can swap the rig on a lane pair in under 10. I'd bet a house like mine could go from zero to running in an hour or two.<p>We're calling it OpenLaneLink, and I plan to open source the hardware, firmware, and software stack when it's ready. Bowling is fun, and I want to help keep it affordable for alleys like mine. I hate vendor lock-in. I'm not a fan of closed systems, calling support for every hiccup, or paying to "white label" my own equipment. Want to go Tron-themed for a night? Good luck finding a neon neumorphic theme in something bought at the turn of the century.<p>All that bugged me. Sure, bowling equipment is niche, but the open hardware and software landscape is amazing.<p>Thanks for reading! Let me know if anyone's interested in more posts about this bowling nonsense.

Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s

I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think.<p>My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert.<p>It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but it fades into the background beyond that. Turns out these things are really cool, but absurdly expensive.<p>Ours was installed in 2008 and cost six figures. It's calculating ball speed and trajectory, camera-based pin detection (object detection and trig, on ICs!), runs the fouling, the animations, the pinsetting machine and ball return. Very cool stuff for its age.<p>From the business perspective, my facility only cost me $105k. To forklift-replace the score keeping system runs anywhere between $80-$120k, depending on features, vendor, and unit age. No upgrades or service contracts, mind you, and every feature and customization is a new line item. That's for a 1:1 replacement on a system installed in 2008. Incredible, given how fast the tech world moves.<p>Replacement parts cost a shocking $4000 per pair of lanes. But wait, the bowling machines themselves are 70 years old, so what's this "advanced" system actually doing back there? Actuating a single relay to trigger that big old machine. Everything else is strictly mechanical. Meanwhile I've got a six-figure invoice in my hand. I'm upset.<p>Given the state of open hardware, computer vision, real-time event streaming, and open source running megascale products worldwide, there had to be a way to do this myself.<p>So far I've built an equivalent prototype for about $200 per lane-pair, $400 if you're fancy. ESP32 and ESPNow with an RS485 fallback, reporting to a raspberry pi lane computer that's really just redis and a state machine bolted to an ESP32 gateway for the mesh.<p>Since it's all ESP32, I've got a fistful of spare controllers in a drawer, pre-flashed or waiting to be. All common off-the-shelf hardware: microcontrollers wired to relays, optocouplers, and IR-break-beam sensors, each running slightly different firmware. Writing the firmware and protocol is the actual hard part.<p>It's an ESPNow star-topology mesh: each node emits events from its sensors and accepts commands for its controls, reporting to a gateway node connected to the raspi over UART. From there it's event streaming: RX packets get translated and tossed into redis, commands relay back out to the mesh as needed. RS485 sits underneath as a wired fallback for noisy RF environments.<p>Once the data's in redis, it's familiar middleware/React/websocket/pub-sub stuff. Any React dev can build their own UI and bowling animations. Since it all runs on commodity hardware, I can do legit anything I want as the proprietor, and I own all my data. Repairs take five minutes; I can swap the rig on a lane pair in under 10. I'd bet a house like mine could go from zero to running in an hour or two.<p>We're calling it OpenLaneLink, and I plan to open source the hardware, firmware, and software stack when it's ready. Bowling is fun, and I want to help keep it affordable for alleys like mine. I hate vendor lock-in. I'm not a fan of closed systems, calling support for every hiccup, or paying to "white label" my own equipment. Want to go Tron-themed for a night? Good luck finding a neon neumorphic theme in something bought at the turn of the century.<p>All that bugged me. Sure, bowling equipment is niche, but the open hardware and software landscape is amazing.<p>Thanks for reading! Let me know if anyone's interested in more posts about this bowling nonsense.

Show HN: IKEA Complexity Index