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TL;DR The "build vs. buy" equation has flipped. Businesses used to buy SaaS because it was cheaper than building their own. AI has changed that—building your own is now more affordable than ever. The discovery problem. AI recommendations default to well-established solutions. Think SEO is a long game? Try LLM SEO. Everyone worries about AI taking developer jobs, but what if AI wipes out the entire off-the-shelf software industry? The "Why Buy?" Problem Six months ago, we needed an AI-powered code review tool. We explored several options and ultimately "vibe-coded" our own GitHub Action—a simple Bash script that takes a git log, sends it to Claude via curl, and posts the results to Slack. Done. The best part? AI wrote the entire thing faster than it would take to sign up for a SaaS. How long until every company realizes they can do this? Need a simple "CRUD" CRM with JIRA-style tasks? Done. Need a mobile time-tracking app for remote employees? AI will spit out a React Native iOS build in minutes. Why pay for yet another SaaS when you can "vibe-code" something in a week? And mark my words, LLM providers are one step away from actually hosting the code they generate. Who needs to spawn an AWS server if you can just ask OpenAI to host the code it just wrote? - "Hey Siri! build me a Basecamp, but with green buttons, also register a domain, spawn a server and host it all there, charge this credit card when you're done" - "Absolutely, that'd be $1.17 per hour" The Discovery Problem AI doesn’t just make it easier to build software—it makes it harder for new SaaS products to get discovered. When you ask AI for recommendations, it defaults to the biggest names. And not just in SaaS, by the way, in open source too. Imagine launching a killer new JS framework today. AI coding assistants and tools like Cursor will just default to React anyway. And not even the latest version of it! In a recent tweet Adam Wathan, the creator of Tailwind, asked: "Has anyone migrated to Tailwind 4.0 yet?" The most popular response was "Nah! we're still waiting for LLMs to learn it." AI isn’t just "the next internet moment." It’s more like "the social network moment." Echo chambers get louder, big names get bigger, and smaller ones disappear into the noise. What Can SaaS Companies Do? 1. Become an Industry Standard Or at least a "go-to" product in a niche. If your app becomes something people mention on their CVs or job descriptions, you win. Examples: Slack. HubSpot. Salesforce etc. A salesperson moving to a new company simply expects Salesforce to be there. That kind of lock-in ensures survival. 2. Build Moats: Infrastructure & Vendor Lock-In SaaS products that are just CRUD apps will die. The ones that survive will own infrastructure or at least some part of it. Instead of building another AI voice assistant, create one with built-in VoIP and provide landline numbers to customers. Examples: Transistor.fm – Not just a SaaS, but also a podcast hosting and publishing pipeline. Postmark (or any transactional email service really) – yes, AI can code an email-sending app, but it can't get you a 10-year old high-reputation sender IP address trusted by Gmail and Outlook. SignWell, SavvyCal and similar "inter-business" file-sharing, communication & escrow apps that own the communication part (and frankly, are literally easier to use than vibe-code your own). But prepare for tthousands of clones. Which SaaS Will Die First? Side-project-scale, "one simple tool" SaaS products that used to be easy wins—form builders, schedulers, basic dashboards, simple workflow apps—those days are over. If AI can generate it in an afternoon, no one is paying a subscription for it. Oh, and "no code" is toasted too. The SaaS graveyard is about to get a lot more crowded. I give it 4 years. Software consulting is making a comeback though. Someone has to clean up the vibe-coded chaos.
TL;DR The "build vs. buy" equation has flipped. Businesses used to buy SaaS because it was cheaper than building their own. AI has changed that—building your own is now more affordable than ever. The discovery problem. AI recommendations default to well-established solutions. Think SEO is a long game? Try LLM SEO. Everyone worries about AI taking developer jobs, but what if AI wipes out the entire off-the-shelf software industry? The "Why Buy?" Problem Six months ago, we needed an AI-powered code review tool. We explored several options, tested them all, and ultimately "vibe-coded" our own GitHub Action—a simple Bash script that takes a git log, sends it to Claude via curl, and posts the results to Slack. Done. The best part? AI wrote the entire thing—faster than it took to sign up for another SaaS. How long until every company realizes they can do this? Need a simple CRM with JIRA-style tasks? Done. Need a mobile time-tracking app for remote employees? AI will spit out a React Native iOS build in minutes. Why pay for yet another SaaS when you can "vibe-code" something in a week? The Discovery Problem AI doesn’t just make it easier to build software—it makes it harder for new SaaS products to get discovered. When you ask AI for recommendations, it defaults to the biggest names. Here’s an open-source analogy: imagine launching a game-changing JS framework today. AI coding assistants and tools like Cursor will still default to React. And not even the latest version! Adam Wathan recently asked on Twitter, "Has anyone migrated to Tailwind 4.0 yet?" The most popular response was "Nah! we're still waiting for LLMs to learn it." AI isn’t just "the next internet moment." It’s more like "the social network moment." Echo chambers get louder, big names get bigger, and smaller ones disappear into the noise. What Can SaaS Companies Do? 1. Become an Industry Standard Or at least a "go-to" product in a niche. If your app becomes something people mention on their CVs or job descriptions, you win. Examples: Slack. HubSpot. Salesforce etc. A salesperson moving to a new company simply expects Salesforce to be there. That kind of lock-in ensures survival. 2. Build Moats: Infrastructure & Vendor Lock-In SaaS products that are just CRUD apps will die. The ones that survive will own infrastructure. Examples: Transistor.fm – Not just a SaaS, but also a podcast hosting and distribution pipeline. Postmark (or any transactional email service really) – AI can code an email-sending app, but it can't get you a 10-year old high-reputation sender IP address trusted by Gmail and Outlook. SignWell and similar B2B file-sharing apps (literally easier to use then code your own). Don't just build another CRUD sales CRM, build a CRM with an inbound VoIP number – because AI can’t replace telco infrastructure (yet). Which SaaS Will Die First? Side-project-scale, "one simple tool" SaaS products that used to be easy wins—Calendly replacements, form builders, schedulers, basic dashboards, simple workflow apps—those days are over. If AI can generate it in an afternoon, no one is paying a subscription for it. Oh, and "no code" is toasted too. The SaaS graveyard is about to get a lot more crowded. I give it 4 years. Software consulting is making a comeback though. Someone has to clean up the vibe-coded chaos.
I'm looking for a new daily driver browser on my Mac. Chrome is a non-starter for me due to privacy concerns (Google's tracking empire is alive and well), and Edge is just... too much. Every update shoves another set of “features” down my throat — Copilot, discount coupons, Bing nonsense — things I have to disable again and again. No thanks. I currently use Brave and I really want to like it, but something about it doesn't sit right with me. The constant crypto integration, some of the decisions around their search engine — it just feels like it's got an agenda. Arc? Well, Arc is dying now, so that's out. Someone suggested Zen, which is a Firefox-based browser aiming to be an Arc-like alternative. That got me curious. And since I already had all these browsers installed, I figured: why not run some benchmarks and see how they stack up? Benchmark Setup All tests were run using Speedometer 3.0 on a MacBook M3 Pro. I tested in incognito/private mode with no extensions, except where the browser had built-in blockers enabled: Chrome: Running uBlock Origin Brave: Default built-in ad/privacy blocker enabled Safari: Clean Firefox: Clean Zen: Clean Results Chrome 132.0.6834.160 - 37.7 Brave 1.74.51 - 37.6 Safari 18.2 - 37.6 Firefox 134.0.2 - 34.8 Zen Browser 1.7.3b - 31.6 Browser benchSpeedometer score (higher is better)ChomeBraveSafariFirefoxZen Browser0510152025303540 A few takeaways: Chrome is (unsurprisingly) the fastest. Brave is essentially Chrome with a privacy skin, Leo AI, some Crypto stuff etc, and the Speedometer score reflects that. Firefox holds up well but is still behind Chromium-based browsers. Not awful, but not amazing either. Zen, being Firefox-based, lags a bit further behind. If you want a Firefox alternative that looks different but runs about the same, it's an option. Otherwise, it's just Firefox with extra UI features (see below). Side Note: 1Password Is a Performance Killer One of the most surprising findings was how much 1Password's extension destroys Speedometer scores. Across all browsers, enabling it dropped my score by 10 points. No clue what it's doing under the hood, but it's heavy. Probably scans all inputs to shove a password into. A (tiny) Zen review no one asked for Zen is a very, very nice browser, but it has some rough edges: (nitpicking) Lacks standard macOS keyboard shortcuts — for example, Cmd+W should close a window when no tabs are left. There's a hidden setting to fix this, but seriously, just follow macOS conventions by default. No built-in adblocker, have to install uBlock Origin like it's 2023 again (kidding). The dev tools are Firefox-based, and that says it all. JavaScript debugging is flaky (unreliable variable watch list, breakpoints sometimes get skipped), and reverse-engineering complex CSS can be a nightmare. That said, Zen a very solid contender, and some of its UI design choices are genuinely great! If you'd like to learn more watch Theo's review
I mean, it is! But the whole story about the stock market reacting to the news about DeepSeek V3 and R1 is a fine example of the knee-jerk nature of mass consciousness in the era of clickbait economics. Briefly, by points: No, DeepSeek isn’t “head and shoulders above” every other model. The results vary across benchmarks, but on average, GPT-4o and Gemini-2 are better. You can see this on ChatBot Arena, for example (Reddit thread). Even in the results published by DeepSeek’s authors themselves (benchmark graph), you can see that in several tests, the model lags behind GPT-4o from May 2024—which, mind you, is currently ranked 16th on ChatBot Arena. No, training DeepSeek didn’t cost $6 million, “100 times less than GPT-4.” The $6 million figure refers only to the final training run of the published model. It doesn’t include any prior experiments, earlier versions, or R&D costs. This is just the raw computational cost of that final training run. And guess what? That figure is pretty much in line with models of the same class. No, Nvidia did not deserve this hit Not that we’re shedding tears for them — they could use a push to lower hardware prices. And let's not forget that DeepSeek was still trained on Nvidia’s own hardware. And no, their GPUs aren’t suddenly obsolete. DeepSeek’s computational budget is fairly standard for training, and inference for such a massive model (reminder: it’s an MoE with 671 billion parameters, 37 billion of which are active per token generation) requires a ton of hardware. Inference costs are roughly on par with a 70B dense model. Naturally, they’ll scale this success by throwing even more hardware at it and making the model bigger. Not to mention that Deepseek makes LLMs more accessible for the on-prem customers. Which means smaller businesses will buy more GPU's, which is still good for NVDA, am I right? Does this mean the model is bad? No, the model is very, VERY good. It outperforms the vast majority of open-source models, which is fantastic. DeepSeek used 8-bit floating point numbers (FP8) throughout the entire training process. This sacrifices some of that precision to save memory and boost performance. Additionally, they employed a multi-token prediction system and innovative GPU clustering/connectivity techniques. These are clever and practical engineering choices that undoubtedly contributed to their success. In the end, though, stocks will recover, ideas will spread, models will get better, and progress will march on (hopefully).
After years of working with the "big" Visual Studio, I've had enough. It's buggy, slow, and frustrating, and I've decided to make the switch to Visual Studio Code. While as a C# developer I'm still unsure if I can replicate every aspect of my workflow in VS Code, I'm willing to give it a shot—and so far, I'm really impressed. 1. Performance Visual Studio 2022 performance has been a constant issue. It's sluggish and feels increasingly bloated with every new update. It's like watching paint dry every time I open a project. In contrast, Visual Studio Code feels lightweight and incredibly fast. The first time I opened my large project in VS Code, I was shocked — it loaded in lees than a second, literally, even with extensions like "C#" and "C# Dev Kit" installed. 2. Better Developer Experience Running dotnet watch run in VS Code's terminal has been a revelation. It's fast, responsive, and actually works consistently. Visual Studio's "hot reload" feature, on the other hand, has been a constant source of frustration for me. Half the time it doesn't work, and I'm left restarting debugging sessions over and over again. I can't tell you how many hours I've lost to that unreliable feature. 3. Fewer Bugs, Less Frustration The minor editor bugs in Visual Studio have been endless and exhausting. I remember one particularly infuriating bug where syntax highlighting would break in Razor and .cshtml files whenever I used certain HTML tags or even just adjusted the indentation. It drove me up the wall! Not to mention the bizarre issues with JavaScript formatting that never seemed to get fixed. Since switching to VS Code, I've encountered far fewer bugs. It just feels like an environment that respects my time and sanity. 4. A Thriving Ecosystem The VS Code extension ecosystem is alive and thriving. Need Tailwind CSS IntelliSense? There's an extension for that, and it works beautifully. Want to visualize your Git history for a particular line (better version of git-blame)? The Git History extension has got you covered. In "big" Visual Studio, I'd report issues through the "feedback hub" and wait months — or even years — for a response. With VS Code, the community is constantly contributing new tools and improvements. It's energizing (and sometimes exhausting) to be part of such an active ecosystem. 5. Cross-Platform Flexibility One of the biggest advantages I've found with Visual Studio Code is its true cross-platform support. Whether I'm on my Windows PC gaming rig at home or my MacBook while traveling, VS Code runs smoothly and keeps my workflow consistent. Visual Studio's limited macOS version just doesn't cut it for me. Being able to switch between machines without missing a beat has been a game-changer. I have to admit, I was skeptical at first. I've always had a bit of a grudge against Electron-based apps — they've often felt sluggish and bloated. But VS Code has completely changed my perspective. It's fast, responsive, and flexible enough to let me build the development environment that works best for me. Switching to VS Code has rekindled my passion for coding; it reminds me why I fell in love with development in the first place. While Visual Studio will always have its strengths, I need a tool that evolves with me—not one that holds me back.
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Mom 12:37 – hey when are you getting home? Dave You set the disappearing message time to 3 hours hey you doing better lol yea i really didn't sleep much what's up u didn't set timeout for that yea is what Brian said true what did he say about how Tom worked at operant? yea why? you know that's where my dad worked and he kind of went crazy too do you know what he did there? not rly my mom gets real upset when i bring it up it was some math shit with magnets wanna come over and ask her lol I did not want to have a conversation with Dave’s mother. 12:55 – haha im good but im just chilling at home if you want to come by here The doorbell rang again. Resolving to be less of a pussy, I answered it. I was prepared to talk to the cops. Polite, short answers, step outside and lock the door, find out what they want. Not a pussy. Not a pussy. Not a pussy. It wasn’t the cops. It was my Mom’s friend Anne, and I told her she wasn’t here. It was always strange to me that that generation would just drop by. Like she didn’t text her first? She said she was in the neighborhood and had extra bagels she wanted to drop off. I thought about telling her that I hadn’t heard from my Mom since yesterday and that she didn’t reply to my text, but decided against it. I didn’t know the dynamic of my Mom’s friend group. Maybe she is out sleeping with Anne’s husband or something. I didn’t want to be a link in the chain of Anne finding out. I was vague but very polite. Anne left the bagels. I didn’t touch the bag. I went up the stairs to my Mom’s room. Did I mention how much I like true crime? It’s probably done bad things for me personality wise. I know that the people on there are out of the normal distribution of people, but those podcasts are one of my only exposures to the outside world. The world beyond this little slice of Brooklyn. So you kind of start thinking everyone is like that. I’d always just assumed my Dad was like, a Wall Street guy. Boring. Get money, fuck bitches. When I was little we had tons of money. We lived in a huge house in Cobble Hill. I flew first class to Europe when I was 7. We spent a week on a yacht in Monaco. My mom loved the luxury lifestyle, and would put up with a lot of my Dad’s eccentricities to keep it. When he left she didn’t seem that upset though. I think the money was still coming in from him, which was the main thing she cared about. It clearly wasn’t as much, we moved out to Sheepshead Bay and never went back to Europe. But she didn’t work and I always got good birthday presents, and she never said anything bad about my Dad, so I assume that’s where the money was coming from. The first drawer I opened had sex toys in it. I saw a vibrator and a butt plug before I quickly closed the drawer. The second drawer had socks. The third drawer had tons of scattered papers. My college rejections. Some essays from high school. A note written in crayon about how I wanted a Nintendo Switch for Christmas. I guess this was the “me” drawer. The fourth drawer was papers, but more organized. My parents marriage certificate. My mom’s birth certificate. My old passport. As far as I knew, they never got a divorce. He just left. Then, something I didn’t know. A document entitling one Jessica Baker to $10,000 per month, to be paid out on the first of every month by the Triangle Trust, for the rest of her natural life, or until the trust is dissolved. That was nice of my Dad. I went through the rest of the drawers, but didn’t find anything else interesting. I put everything back as carefully as I could. I considered that someone might dust for fingerprints. I wondered if I did anything illegal. I live here, right? I checked on the text message to my Mom and noticed that it hadn’t been delivered. This was really unlike her. Sometimes she’d go out drinking and meet a guy and stay out all night, but she’d always at least text me by the morning when she sobered up. 2:14 – are you okay? Not delivered. Maybe her phone died? Nah but it’s the afternoon she probably would have charged it by now. I tried calling. Straight to voicemail. I checked the Mercedes app to see where her car was. She’d let me take the car sometimes, so we were both on the app. It asked me to login. I copied the password from 1password. Incorrect Password Maybe she changed it? I tried to set her up on 1password but she didn’t get it. She’d just reset the passwords when she needed to login. Ugh, logging into stuff is the worst. I clicked the reset password and typed in the e-mail. There is no account with that e-mail Okay, that doesn’t make sense. My Mom and I shared an e-mail for this stuff, and she wouldn’t change it without telling me. I clicked forgot e-mail. It needed the VIN of the car. The title was in the fourth drawer with the other papers. I went and got it and typed in the VIN. The e-mail associated with your account is: skinner666@gmail.com A jolt of anxiety coarsed through my body. I’d never seen that e-mail address in my life.
I really enjoyed watching Python: The Documentary (from CultRepo, formerly Honeypot, same makers as the TypeScript documentary). Personally, I don’t write much Python and am not involved in the broader Python community. That said, I love how this documentary covers a lot of the human problems in tech and not just the technical history of Python as language. For example: How do you handle succession from a pivotal creator? How do you deal with poor representation? How do you fund and steer open projects? How do you build community? How do you handle the fallout of major version changes? And honestly, all the stories around these topics as told from the perspective of Python feel like lessons to learn from. Here are a few things that stood out to me. Guido van Rossum, Creator of Python, Sounds Cool The film interviews Drew Houston, Founder/CEO at Dropbox, because he hired Python’s creator Guido van Rossum for a stint. This is what Drew had to say about his time working with Guido: It’s hard for me to think of someone who has had more impact with lower ego [than Guido] For tech, that’s saying something! Now that is a legacy if you ask me. The Python Community Sounds Cool Brett Cannon famously gave a talk at a Python conference where he said he “came for the language, but stayed for the community”. In the documentary they interview him and he adds: The community is the true strength of Pyhon. It’s not just the language, it’s the people. ❤️ This flies in the face of the current era we’re in, where it’s the technology that matters. How it disrupts or displaces people is insignificant next to the fantastic capabilities it purports to wield. But here’s this language surrounded by people who acknowledge that the community around the language is its true strength. People are the true strength. Let me call this out again, in case it’s not sinking in: Here’s a piece of technology where the people around it seem to acknowledge that the technology itself is only secondary to the people it was designed to serve. How incongruous is that belief with so many other pieces of technology we’ve seen through the years? What else do we have, if not each other? That’s something worth amplifying. Mariatta, Python Core Developer, Sounds Cool I absolutely loved the story of @mariatta@fosstodon.org. If you’re not gonna watch the documentary, at least watch the ~8 minutes of her story. Watched it? Ok, here’s my quick summary: She loves to program, but everywhere she looks it’s men. At work. At conferences. On core teams. She hears about pyladies and wants to go to Pycon where she can meet them. She goes to Pycon and sees Guido van Rossum stand up and say he wants 2 core contributors to Python that are female. She thinks, “Oh that’s cool! I’m not good enough for that, but I bet they’ll find someone awesome.” The next year she goes to the conference and finds out they’re still looking for those 2 core contributors. She thinks “Why not me?” and fires off an email to Guido. Here’s her recollection on composing that email: I felt really scared. I didn’t feel like I deserved mentorship from Guido van Rossum. I really hesitated to send this email to him, but in the end I realized I want to try. This was a great opportunity for me. I hit the send button. And later, her feelings on becoming the first female core contributor to Python: When you don’t have role models you can relate to, you don’t believe you can do it. ❤️ Mad respect. I love her story. As Jessica McKellar says in the film, Mariatta’s is an inspiring story and “a vision of what is possible in other communities”. Python Is Refreshing I’ve spent years in “webdev” circles — and there are some great ones — but this Python documentary was, to me, a tall, refreshing glass of humanity. Go Python! Email · Mastodon · Bluesky
Dave 2:41 – yoo i took a nap wanna play minecraft? actually i need your help with something what just come over kk i gotta shower Dave knew stuff about computers. Don’t let the being high all the time fool you, he was the smartest guy in our friend group. And he was the most chronically online. He showed up on his bike 20 minutes later. “Yo,” I yelled to him across the lawn. “Dude what’s up? You look rattled” “My mom is missing and she isn’t answering her phone. Then I tried to track her on the car app, but somebody changed the e-mail.” Dave came inside the house (I locked the door behind him) and opened his laptop at the kitchen table. I messaged him the VIN, and he tried the reset e-mail again but on the website. Same result. Same skinner666 “What did the e-mail used to be? Do you have access to that account?” “Yea,” I brought up the password to bakerfamily43@gmail.com on my 1Password and Dave logged in on his laptop. We saw like 15 e-mails notifying that account details were changed for various services. Ranging from 2 to 3 am last night. Most interesting was the first e-mail. It was from Google saying they blocked a login attempt to this account. From Atlanta, Georgia. Dave explained, “They probably tried to log in to the GMail, but when it didn’t work, they changed the e-mails on other services to an account they controlled” “From Atlanta? Who’s in Atlanta? They got hackers down there?” I was imagining…well never mind, you know what I was imagining. “It’s probably a VPN, hang on, I’ll check the IP.” Dave copy pasted some numbers from the Google e-mail into the terminal. “Yea, NordVPN exit node.” “What’s a VPN?” “No wonder you can’t find hookers on the Internet.” I’d asked Dave about this once. He was high. I didn’t think he remembered. “Even Brian knows what a VPN is.” “You think we should call the police,” I asked. But I already knew Dave’s answer. Dave hated the police more than all of us. Back before the suicide, his mother would take him to Black Lives Matter protests. And as dumb as it was, those were probably some of the best memories he had with his family. It was a day outside, there were people, there were food stalls. And his mother was happy. Or maybe angry? But not depressed. “Fuck 12,” he mumbled. It wasn’t just the politics. After Tom’s suicide, the cops harassed his family. Well it wasn’t the police, it was child protective services. It became standard practice to investigate all cases where young people who still lived at home killed themselves. Nothing ended up happening with the investigation, but to Dave, one government mooching pig was the same as the next, and none of them were on his side. “Okay, no police. I don’t like them either. You think my mom is okay?” Dave thought for a minute, “I think I know how to find her car” As the number of sensors on the Internet grew, the availability of data about the real world skyrocketed. Tons of people were willing to put cameras outside their house or dashcams on their car to earn a couple dollars. There were news articles predicting that this would end all crime. But of course this isn’t what happened. Ending crime was always more a question of will than a question of ability. And most people never made back the money they spent on the camera, the data wasn’t all that useful and not that many people bought it. But if you knew where to look, you could access it. “Do you have the license plate number of the car?” I didn’t know it, but I went back upstairs to get the title. I also grabbed the Triangle Trust document. Dave typed it into website billing itself as the world’s data marketplace. “Search millions of dashcams for a license plate” was one of the options, along with a bunch of other video search options, including “search millions of CCTV cameras for perky nipples.” It seemed like there was a whole Internet that I didn’t know about. $0.78 for the query. He typed in his credit card. I offered to pay him back. He thanked me for the bagel. “Three hits in the last 24 hours” It was $8 each to download the video clips. One of them wouldn’t download, it said “Dashcam Offline.” It still took his $8 for that clip. He downloaded the other two and dragged them into ChatGPT. No point in watching them manually. Clip 1 Timestamp (overlay): ~5:36:12 PM, Sat Jul 12, 2031 Location (inferred): Manhattan Bridge lower roadway, westbound into Manhattan. Overhead signage OCR fragments: “CANAL ST / CHINATOWN”; steel truss pattern matches the bridge; skyline and arch glimpses align. What’s visible: Mercedes (body/DRL signature consistent) in center lane, moderate traffic, dry pavement, dusk light. No notable tail vehicle persists across frames. Clip 2 Timestamp (overlay): ~11:29:47 PM, Sat Jul 12, 2031 Location (inferred): Sheepshead Bay corridor. Streetfront OCR: “EMMONS AVE,” “BAY DELI,” and a marina awning; sodium-vapor lighting; parked fishing boats visible for 2–3 frames. What’s visible: Mercedes eastbound along Emmons Ave, signals right at the next intersection and turns toward a residential side street (likely Knapp/Bragg area; exact street name unreadable due to glare). Traffic light cycle and storefront shutters consistent with late-night return. I pondered, “That doesn’t make sense. That second clip is right by our house, but I got home an hour after that and she wasn’t here. What’s the third clip?” “It won’t let me download it. Because of how this marketplace works, the video file isn’t uploaded to them until somebody buys it. If the user’s device is offline, we can’t download it.” “Do we know anything about it?” “Not really. Sometimes the user has a profile, but all he has is a username. It’s liducksfan” For once, I could actually be useful. “The Long Island Ducks! I went to a game once!” I wasn’t actually that useful, Dave had already Googled “liducks” and that was the obvious first hit. “So she was on Long Island?” “You’re the true crime guy. I’m just the tech guy.” I had a hunch. I think she came home around 11:30, something happened here, either she saw something or met someone, and she left again and went to Long Island, all before I got home. I looked around for James Reese’s business card. I couldn’t find it. However, in plain sight, there was a note from my mother on the refrigerator. I guess it had been there the whole time; wow I’m a bad detective. “Met a guy. Going to the Hamptons. Might be out of cell service.” and then Mom in a heart. She always signs her notes like that. I showed the note to Dave. He shrugged and asked if he could have one of the bagels that Anne left. Sure. Was this just me being paranoid, or is that the exact note my mother would leave if she didn’t want me to worry and that’s not at all what happened? Who logged into her accounts? Who was skinner666?
Here on a summer night in the grass and lilac smell Drunk on the crickets and the starry sky, Oh what fine stories we could tell With this moonlight to tell them by. A summer night, and you, and paradise, So lovely and so filled with grace, Above your head, the universe has hung its … Continue reading Dreams of Late Summer →
