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Overcast 5.1 with Instant Search

from Marco.org [alt+shift+b] in programming

▶️ The first thing someone does in a podcast app is add some podcasts, and most active Overcast users add at least two new podcasts each month. Over 80% of podcasts are added to Overcast by searching, with the vast majority as searches for a specific podcast by name (rather than searching for generic keywords, such as “business”). Good search is a critical, differentiating feature of any podcast app. I’m not satisfied if the podcast you’re looking for is somewhere in the middle of a long list — I want it to be the first one, displayed quickly, after typing the fewest characters possible. I’ve been building toward this by analyzing years of popularity statistics and anonymous search data. Instant Search is the next step in Overcast’s search evolution. It combines a small local cache with a highly optimized search service to give the most relevant results immediately as you type, even after only a single letter.1 It’s a dramatic, delightful improvement to a critical, frequently used feature. This was a lot of fun to build, and I’m proud of it. See for yourself! Overcast is free on the App Store. If Instant Search isn’t instant right after you update, the cache hasn’t fully downloaded yet. It’s downloaded weekly, only on Wi-Fi, and is less than 5 MB. ↩︎
28th Jan 2019

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Bob and Van

For the first half of my childhood in suburban Ohio, we lived next to Bob. Bob and his wife were a kind, reserved older couple who decorated their home mostly with crucifixes and talked about Jesus a lot. Bob helped my mom with a lot of common household tasks after my dad died. When she woke up to a small fire on our deck, she didn’t call the fire department — she called Bob.1 I never learned any of Bob’s political views, though I can make some guesses in retrospect. They never mattered. He was just our neighbor. We later moved, and hit the neighbor jackpot with Van. Van was deeply kind, generous, and friendly — the sort of neighbor everyone wishes for. In my lazy teenage years, he’d often mow our lawn or shovel our snow for us before I even woke up. As his mobility later declined, I was honored to return the favor. Van and his delightful wife passed away years ago, before I learned how either of them felt on any political issue. If they were my neighbors today, how likely would that be? *     *     * If I learn today that my neighbors have political views that my “side” considers unacceptable and unforgivable, should I be able to have dinner at their house, shovel their snow, or even greet them outside? Should I be condemned for supporting or associating with them in non-political contexts? Should I be condemned for not publicly condemning them myself? While privilege and power dynamics play a complex and unavoidable role in this, I don’t want to associate with any community that would insist on either of those.2 And I can’t help but feel that maybe we were better off before we knew everyone’s hot takes on everything. The town coffee shop was just a coffee shop. We weren’t publicly shamed for going there because one of the owners was an ass. It was just a place to hang out with our friends. Our casual work friends were just casual work friends. We didn’t expect them to take positions on the world’s most complicated conflicts. We could just talk about weather and TV shows, and maybe sometimes get a beer after work. And our neighbors were just our neighbors. That was the day I learned the word “SHIT!” ↩︎ Somewhere on Bob’s wall might’ve been a relevant statement from an influential political dissident about casting the first stone. ↩︎

2 weeks ago 1 votes
Unforgetful

I have ADHD. Probably.1 My entire adolescence was defined by forgetting to do my homework, disappointing everyone around me, and being told by every adult that I was lazy, “just” needed to try harder, and wasn’t living up to my potential. I’ll be working on the resulting shame and anxiety for the rest of my life.2 If someone tells me, “Remember to pick up the dry cleaning tomorrow,” I definitely won’t remember. If someone tells me, “Remember to put the laundry in the dryer in ten minutes,” I probably won’t even remember that. If you’re thinking, “It’s just ten minutes! Nobody can possibly forget that,” I have made an app that’s probably not for you. *     *     * Computers saved me. Despite constantly being told that I’d never get a good job, computers provided a lucrative career path filled with even worse academic performers who couldn’t care less about my grades. What a stroke of luck! I’d be mediocre to terrible at most jobs, but I turned out to be very good at using computers to turn coffee and Phish into money. But computers also save me in smaller, everyday ways. They help me remember. *     *     * Sorry, I just had to go put the laundry in the dryer, which I had forgotten. Really. It’s that bad. *     *     * Calendar alarms changed my life. Events without alarms don’t happen. (If you’re thinking, “Why doesn’t he just check his calendar?” I have made an app that’s probably not for you.) I had less success with reminders until we had ubiquitous voice capture. If I think of something at inconvenient times, like while driving or exercising, I need to capture it immediately or I’ll forget. It cannot wait until I get to my phone or computer. It has to be recorded right then or it’s gone. Siri, for all of its faults, has always been very good at creating tasks in Apple’s Reminders app — and Siri is everywhere. Computer. Phone. Car. Watch. I can almost always ask Siri to add something to Reminders. So Reminders’ integration and ubiquity are invaluable to me. The Reminders app, though, doesn’t fit me at all. I don’t like how it looks, how it works, or how it’s organized. Hell, I don’t even like its icon. There’s nothing about it I like. So I never open it. (Not as if I’d ever remember to check it anyway.)3 Most of my Reminders interaction has always been via Siri and notifications. And that fits me very well, with three major exceptions: If I say “Remind me to buy milk,” but I forget to specify a time (or Siri misses it), Reminders will never notify me, and I’ll never check the app, so it’ll be lost. If I inadvertently dismiss a Reminders notification without snoozing it, Reminders will never notify me about it again, so it’ll be lost. When I do snooze a Reminders notification, which I do a lot, the snooze options suck.4 This spring, I made myself an app to fix all three, and… it escalated. I’ve been using it for months, and it has profoundly improved my life. Today, I’m releasing it, in hopes that maybe it can help other people, too. *     *     * Introducing Unforgetful. The concept is simple: Reminders for ADHD. This means: It’s impossible to lose a task. Notifications always repeat, even if you miss or dismiss them, until the task is completed or deleted. Designed for procrastination. Snoozing is a core feature, with thoughtful intervals that scale as you snooze a task more. Nothing is hidden away. A hidden task is a forgotten task. No folders, no tags, no organization, no different views or modes. No judgment or shame. Nothing is overdue. You’re not in trouble. Everything is either due now or in the future. Didn’t get to it today? Maybe tomorrow. Every day is a fresh start. And Unforgetful does all of that with your Reminders data. That means: Siri works perfectly, everywhere. Just say “Remind me…” without having to specify an app. It replaces your Reminders notifications. Turn them off, turn these on. No import. This isn’t a new system to learn or migrate into. Your Reminders data is just… there. No export. If you try Unforgetful and it’s not for you, just delete it and turn Reminders notifications back on, and all of your data is right there in Reminders. Mix and match. Don’t like it everywhere? You can still use Reminders on your Vision Pro or whatever, or simultaneously use Unforgetful with Reminders or any other app that uses Reminders data. I’ve optimized lots of features and details for ADHD, too: Fast capture with dictation. Tap the microphone button in Unforgetful — or its full suite of widgets, or its Lock Screen or Control Center controls — and quickly dictate a task.5 Spaced-out notifications, not an overwhelming pile at once. If multiple tasks are set to alert you at the same time, they space themselves out so you’re not barraged with a hopeless stack of obligations. And the order changes every day, so nothing gets lost between things. Recurring-task backlogs don’t pile up. If you miss multiple intervals for a recurring task, completing it doesn’t make you click through all of your past failures to get to the present day… it just schedules the next one from now. Remind me 5 minutes after I get home. Location-based reminders can notify you after a set delay. Because if a “remind me when I get home” task fires as I pull into the driveway, I’ll forget it by the time I’m inside, unloaded, and ready to do anything about it. Unforgetful is a Mac and iOS app that’s $19.99 per year (US). One subscription buys all platforms. There’s a one-month free trial so you can really live with it and see if it’s right for you before paying. There are a million task-management apps. Unforgetful is not for everyone, but it’s really for me, far more than anything else has ever been. Frankly, I have no idea how to reach the other people it’s for. But I know you’re out there. If any of this resonates with you… give it a shot. Despite significant progress on my mental health around this from therapy and media, I haven’t (yet?) sought an official ADHD diagnosis because I haven’t sought medication, and that seemed like the main reason why I’d want a diagnosis. That’s probably worth reconsidering. I’ll make myself a reminder to do it. Someday. ↩︎ I saw a psychologist throughout high school for my homework problem. Rather than recognizing 7 of the 9 symptoms of what we now call “inattentive” ADHD, he was just one more adult condemning me for not caring. (I really did care. Nobody wanted me to be “better” more than me.) In the 1990s, if you didn’t do homework but weren’t hyperactive, you were obviously just choosing to be lazy, and the solution was apparently to apply more shame. Not all doctors are good. ↩︎ I’ve tried other apps that are beautiful and work differently, but they’re all complete task-management systems that introduce a lot of features and complexity that I neither need nor want, at the expense of Reminders’ ubiquitous integration that I highly value. I’ve also tried other apps that use the Reminders database, but I haven’t found any of them to be… good. (Sorry. I probably didn’t try yours.) ↩︎ At least they specify the actual snooze times now instead of vague descriptions like “the afternoon,” which I proudly take full credit for, since it happened to change only after I ranted about it relentlessly on our podcast for months. If I truly made this happen, it might be the greatest impact on the world I’ll ever have. ↩︎ Dictation just records every word you say as the title, which is extremely fast and reliable. It doesn’t yet recognize things like “Remind me to buy milk at 10 AM tomorrow.” I haven’t nailed that natural-language processing yet — coming soon, maybe! For now, Siri does that part better. ↩︎

14th Aug 2026 1 votes
A letter to John Ternus

As Apple celebrates its fiftieth birthday, we celebrate the spirit of its formation, when people who loved computers started making great computers to inspire more people to love computers. That spirit is difficult to find in the tech business today. Immense scale, soulless optimization, and an insatiable thirst for growth dominate its behavior and discourse, leaving little room for the spirit and principles embodied by Steve Jobs and Steve Wozniak. Apple still has this spirit, and I believe you do, too. But it’s not infinite or invincible. It’s under constant pressure, including from Apple itself. It seems likely that you’ll soon be leading Apple, which will place unfathomable responsibility on your shoulders. As you grow into the leader that we know you can be, I urge you, on behalf of everyone who loves computers as much as we do, to protect and cultivate this spirit of Apple’s founders as the company’s top priority: We love computers. We don’t hide that — we celebrate it! We use computers to enhance our minds, lives, and abilities — not to be controlled, restricted, tricked, placated, angered, or surveilled. Our computers work for us, with the utmost respect for our time, attention, money, data, and privacy. We are customers and owners — not resources to be harvested, annoyed, or badgered into ever more services and upsells. Apple leads the industry in these values, but leading doesn’t always mean excelling. Remaining true to these values requires constant diligence, honest evaluation, introspection, and the audacity and courage to effect change. Apple doesn’t settle for fine, functional, or good enough in its hardware (and thanks for your incredible work on that). We love making and using products that aren’t just great, but greater than they need to be, always raising the bar of greatness for its own sake. Software, services, revenue sources, and world impact need to be held to that same standard. Focus on making great computers with great user experiences above all else, and you can trust that every other major goal will follow: profit, market share, expansion, impact, and benefit to the world. Making great computers must remain Apple’s top responsibility, because if you don’t do it, nobody will.

1st Apr 2026 1 votes
Retreating to Safety

Ten years ago, Apple’s Phil Schiller surprised Apple enthusiasts and developers by walking out on stage at John Gruber’s The Talk Show Live WWDC event and giving an open, human, honest interview to a somewhat jaded community. I wrote this in response: Both Apple and Phil Schiller himself took a huge risk in doing this. That they agreed at all is a noteworthy gift to this community of long-time enthusiasts, many of whom have felt under-appreciated as the company has grown. […] Phil’s appearance on the show was warm, genuine, informative, and entertaining. It was human. And humanizing the company and its decisions, especially to developers — remember, developer relations is all under Phil — might be worth the PR risk. This started a ten-year run of interviews by Apple executives on The Talk Show every year at WWDC that proved to be great, surprisingly safe PR for Apple. No executive ever said something they shouldn’t have (they’re pros), no sensational or negative news stories ever resulted from them, and Apple’s enthusiastic fans and developers felt seen, heard, and appreciated. *     *     * For unspecified reasons, Apple has declined to participate this year, ending what had become a beloved tradition in our community — and I can’t help but suspect that it won’t come back. (A lot has changed in the meantime.) Maybe Apple has good reasons. Maybe not. We’ll see what their WWDC PR strategy looks like in a couple of weeks. In the absence of any other information, it’s easy to assume that Apple no longer wants its executives to be interviewed in a human, unscripted, unedited context that may contain hard questions, and that Apple no longer feels it necessary to show their appreciation to our community and developers in this way. I hope that’s either not the case, or it doesn’t stay the case for long. This will be the first WWDC I’m not attending since 2009 (excluding the remote 2020 one, of course). Given my realizations about my relationship with Apple and how they view developers, I’ve decided that it’s best for me to take a break this year, gain some perspective, and decide what my future relationship should look like. Maybe Apple’s leaders are doing that, too.

30th May 2025 38 votes
Ten years of Overcast: A new foundation

Today, on the tenth anniversary of Overcast 1.0, I’m happy to launch a complete rewrite and redesign of most of the iOS app, built to carry Overcast into the next decade — and hopefully beyond. Like podcasts better than blog posts? Listen to ATP #596 for more! What’s new Much faster, more responsive, more reliable, and more accessible. Modern design, optimized for easily-reached controls on today’s phone sizes. Improvements throughout, such as undoing large seeks, new playlist-priority options, easier navigation, and more. What’s not Most features. Overcast is still Overcast! The audio engine. It’s the best part of Overcast, and still leads the industry in sound quality, silence skipping, and volume normalization. (More soon!) The business. I’m still a one-person operation, with no funding or external ownership, serving only my customers. My principles. I always want to make the best podcast app, and I’ll never disrespect your time, attention, or privacy. What’s gone Streaming. Most big podcasts now use dynamic ad insertion, which causes bugs and problems for streaming playback.1 Downloading episodes completely before they begin playback is much more reliable. Tapping a non-downloading episode will now open the playback screen, download it, then start playback. It works similarly to the way streaming did before, but playback begins after the download completes, not after a portion of it is buffered. On today’s fast networks, this usually only takes a few extra seconds. And in the near future, I’ll be adding smarter options and more control over selective downloading of episodes to further improve the experience for people who don’t automatically download every episode. What’s next The last few missing features from the old app, such as Shortcuts support, storage management, and OPML. These are absent now, but will return soon. More options for downloading and deleting episodes. Upgrading the Apple Watch app to the new, faster sync engine. (The Watch app is currently unchanged from the previous one.) And, of course, more features, including some of your most-requested features over the last decade. Getting this rewrite out the door was a monumental task. Thank you for your patience as I work through this list! Why? Most of Overcast’s core code was 10 years old, which made it cumbersome or impossible to easily move with the times, adopt new iOS functionality, or add new features, especially as one person. That’s why there haven’t been many new features or changes in years. You saw it, and I saw it. I wasn’t able to serve my customers as well as I wanted. For Overcast to have a future, it needed a modern foundation for its second decade. I’ve spent the past 18 months rebuilding most of the app with Swift, SwiftUI, Blackbird, and modern Swift concurrency. Now, development is rapidly accelerating. I’m more responsive, iterating more quickly, and ultimately making the app much better. Thank you all so much for the first decade of Overcast. Here’s to the next one. Dynamic ad insertion (DAI) splices ads into each download, and no two downloads are guaranteed to have the same number or duration of ads. So, for example, if the first half of an episode downloads, then the download fails, and it downloads the second half with another request, the combined audio may jump forward or back at the halfway mark, losing or repeating content. ↩︎

16th Jul 2024 93 votes

More in programming

Mommy bloggers react

After a write-up in the New York Times, Mommy Bloggers had two options. Either lean in, or step back. Given how popular it became after that, it's not hard to guess which option they chose. The post Mommy bloggers react appeared first on The History of the Web.

2 hours ago 1 votes
Haunt 0.4.0 released

I'm quite a bit late on this one, but Haunt version 0.4.0 was released released back in July. I haven't had much time for blogging, but I'm catching up now! This release contains a small set of improvements and bug fixes since the 0.3.0 release in 2024. About Haunt Haunt is a static site generator that uses the Guile Scheme as its configuration language. It aims to be simple, functional, and extensible. Features include: Easy blog and Atom/RSS feed generation Markdown post support Simple development server for viewing edits before publishing Purely functional build process User extensibility Notable changes Added support for HTML in Markdown documents. This was a long time coming because guile-markdown did not support it and the library was abandoned by the original maintainer. As part of my work at Spritely, we forked it, implemented the relevant portions of the CommonMark specification, and released it. Spritely's guile-commonmark fork is now considered to be the official upstream by Guix and others. A further consequence of this is that guile-lib is now a required dependency for building Haunt as we need the (htmlprag) module to parse Markdown documents with embedded HTML. html->shtml from guile-lib's (htmlprag) module is now used instead of xml->sxml in the HTML reader. It was silly of me to use xml->sxml for this purpose years ago, but at the time I wanted guile-lib to be an optional dependency. Added haunt new subcommand for creating a new site. Added default directory, template, and prefix arguments to flat-pages procedure. Added support for index metadata flag to flat pages for pretty URLs. Flat pages now receive all page metadata, not just the page title. This is a breaking change from 0.3.0. Added .scm as an additional extension for sxml-reader. make-file-extension-matcher now supports multiple extensions. Fixed emission of <script> and <style> elements. Fixed handling of no available reader in flat pages builder. Fixed unreachable error handling clause when a reader is not found for a post. Fixed default blog theme template missing an <html> tag. Fixed overloaded -h option in haunt serve. Deprecated post in Skribe reader in favor of document. Download Haunt 0.4.0 is already available in Guix: guix pull guix install haunt See the Haunt project page for information on how to build from source. Thank you to Camilo Rodrigues, Noé Lopez, jgart, Jakob L. Kreuze, and Daniel Meißner for their contributions to this release! Happy haunting!

4 hours ago 1 votes
On reading books

How books have coloured my life

6 hours ago 1 votes
Attention is all you have

The Tetris effect is one of psychology’s most easy to reproduce experiments. Simply spend a bit of time playing the eponymous game every day for a few weeks. After a little while, you’ll start recognizing familiar Tetromino shapes in clouds, buildings, and everyday objects. You might even see them appear before your eyes when you start falling asleep. Tom Tang Attention hijacking There’s one lesson the Tetris effect teaches us: whatever you focus on long enough will end up shaping your thoughts. This can be a good thing since it’s how we learn new skills and discover new ideas. Sadly, less and less of our attention is focused intentionally. Instead of picking what we want to see we let other people decide what is supposed to be good for us. Do you want to watch a video? YouTube knows you like cooking and art streams. But why not also recommend a few clips about the stock market bubble, global warming, and the war in Iran. Doomscrolling will make you stay longer and click on a few more ads. Do you want to listen to music? Just open a Spotify playlist and let the algorithm figure out what you like. Please ignore the AI slop they will insert in between real songs to avoid paying royalties to real artists. Do you want to know how your colleagues are doing? Too bad, LinkedIn will bury any relevant career news between the opinion of complete strangers. It is surely just a coincidence that those strangers happen to be shilling whatever Microsoft is invested in at the moment. Do you want the opinion of strangers on a product? Well those Redditors you wanted to ask are probably just a bunch of LLMs talking to a bunch of Russian trolls now. I hope you didn’t value their opinion too much. If, like me and most people, you spend the major part of your day focused on your device, there’s no doubt it’s affecting you. And when you let someone else dictate what appears on your screen, it’s the same as giving them the key to your brain. New York Said Back to an intentional internet The internet wasn’t always like that. Before recommendation algorithms where a thing, you had to decide what you would be doing on the computer. You didn’t really have one big app that you could open and order it to entertain you. Instead, you had a few dozen of bookmarks to websites, each with a specific idea in mind. A site for video game news, that one website with lots of tutorials, a blog about anime that didn’t update often enough, a wiki about a TV show from the 90s… Of course awful things existed on the web. We had Encyclopedia Dramatica and Rotten.com, but you actually had to put the effort to go there if you wanted. Nobody was going to put pictures of dead kids and far-right propaganda as a suggestion after a pancake recipe or a cat video. The good thing is that this intentional internet is still around. It has just been a bit buried below the corporate web, but it’s not very hard to find. After all you’re on this blog, so you probably already have a good idea about it. The main difference between this time and now is you. When you want to get back to reading blogs, RSS feeds, and finish that tutorial instead of doomscrolling shorts, you have to get used to a slower internet. One where content is not infinite and doesn’t get updated every click. But like every habit, the only thing you have to do is to keep at it. And if you pay enough attention to it, something will click in your brain.

yesterday 2 votes
Trying the Software factory pattern.

One of the interesting challenges of the AI ecosystem in 2026 is that new, effective patterns emerge faster than I can adopt them. I’ll find a handful, get back to work, and realize a month later that I’d missed four or five more. The adoption cycle for Imprint this year has been something like: January: get every engineer onto Claude Code every single day March: ok, let’s also get everyone else onto Claude Code or Claude Cowork every single day April: local development is bottlenecked on checkout and worktree model, instead create ~10 local workspaces which each have an independent checkout of every repository, and operate at the workspace level, not at the repository level, so it can generate cross-repository pull requests across frontend, backend, infrastructure and data monorepos June: oh boy, agent-driven development is heavily constrained by lack of a common task management system with higher visibility and less permission complexity than Jira, so let’s migrate the entire company over to Linear and hard stop on Jira July: yikes, now we have visibility into all these tickets, many of them are trivial but managing them through local development isn’t scaling, let’s roll out an orchestrated harness which internally we call “Agent Fleet”, along the lines of Stripe’s Minions The most recent question for me has been figuring out how to adopt the software factory pattern. (After some light research, the specific AI-context origin of this term is slightly messy to attribute, but I think it might be Justin McCarthy in February 2026’s Software Factories And The Agentic Moment.) The software factory pattern is looping on a broad goal, and then relying on the harness to drive progress towards that goal. Our first pass at implementation is fairly basic: An agent skill /linear-project-loop which reads in a Linear project and starts by auditing that project’s goal definition on these dimensions: An RFC in Notion that describes the project’s goals, how those goals are measured, and the general approach A Datadog dashboard or Snowflake queries that measure progress against those goals If those are missing, or the Linear project is missing in its entirety, it iterates with you on creating those missing tools. Then it reviews the state of the metrics and issues for the project. If new work is identified, it adds those issues to the project. It updates the state of issues that have moved. It works on the non-blocked tasks based on the project’s current state. This is often writing a pull request, updating a pull request, pinging for review, asking a clarifying question, etc. When a task completes, if the project description is fresh, it takes on the next task. If the description hasn’t been updated in a while, it reruns the loop starting with the first step. Right now I am running this locally in a local harness, but it’s working well enough that I anticipate moving the behavior to be driven by the same orchestrated harness that we assign one-off tasks to. What I particularly like about the factory pattern is that it parallels very closely how I’ve been working locally, while forcing me to recognize the places where I was accidentally hording parts of the state for myself regarding the goals of the project. I was already asking agents to iterate on specific Linear projects, but they didn’t have the ability to evaluate if they were going in the right direction, or if it was missing necessary tasks. Now it does. The other place this has been extremely helpful for me is checking in on projects post release. For example, I shipped our passkeys implementation earlier this year, but some months go by without my checking in on how it’s going. If we saw adoption spike, or error rates start to turn, I might miss it, but running the factory in a less frequent post-release mode would catch it immediately. The final thought that’s been interesting to me is how much all of the pieces here compound only to the extent that you have the other pieces. For example, this factory pattern depends on having Datadog MCP and Snowflake access available to manage goal-tracking, but it also depends on Linear being the single source of state for the company’s work, and an orchestrated harness that can perform work independently from your laptop. Keeping up with this many migrations is a fascinating industry moment.

2 days ago 2 votes
📚 BoredReading

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