Dropbox status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Dropbox reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Dropbox users through our website.

• Errors (60%)
• Sign in (20%)
• Website Down (20%)

Live Outage Map

The most recent Dropbox outage reports came from the following cities:

City	Problem Type	Report Time
Nottingham	Errors	5 days ago
Guayaquil	Website Down	5 days ago
Flumet	Errors	15 days ago
Irapuato	Errors	17 days ago
Bournemouth	Sign in	2 months ago
Paramaribo	Errors	3 months ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

• 
  leveltu (@leveltu144) reported 3 minutes ago

  Most people look at this box and see a home storage system for old drives. In reality, it can become a small business built around local AI, backups, and private data. The more companies use AI, the faster they accumulate documents, videos, call recordings, knowledge bases, backups, and files for RAG systems. Keeping everything in Google Drive or Dropbox becomes expensive, slow, and risky, so small businesses increasingly need local NAS servers with automated backups and secure private-cloud access. The business model is straightforward. You target small agencies, dental clinics, accounting firms, video studios, e-commerce companies, and manufacturers that already hold 2–10 TB of data but still store it across random external drives. Then you sell them a complete solution: NAS installation, RAID configuration, automated backups, remote access, protection against data loss, and local storage for AI workflows. You can charge €400–€900 for installing and configuring the system, excluding the hardware itself. Monthly maintenance, backup verification, and monitoring can add another €80–€200 per client. Close five companies within the first two or three months at an average setup fee of €600, and you generate €3,000 from installation plus roughly €600 in recurring monthly revenue. Ten clients can produce €1,200–€2,000 per month from support alone. The real profit is not in reselling hard drives. The client pays for the equipment, while you sell the audit, configuration, data migration, automation, and responsibility for keeping the system operational. The service layer can carry far higher margins than the hardware. No one can honestly guarantee income within 90 days, because without sales there is no business. But reaching your first €500–€1,500 per month within two or three months is realistic if you build one demonstration NAS, package the offer clearly, and contact at least 30–50 potential clients every week. While everyone else is trying to make money from another AI chatbot, a more durable business is forming around the infrastructure AI cannot function without: data, storage, backups, and private computing.

• 
  David Crysler (@DavidCrysler) reported 4 minutes ago

  An ops manager pushed back on adding a new tool: "We've got stuff on ShareDrive, Dropbox, OneDrive, Slack... you spend more time trying to figure out apps than actually doing work." He's not wrong to be skeptical. Every one of those tools was supposed to fix something. Tool skepticism is almost never about the new tool. It's about the last five. Tools may treat your symptoms but rarely solve the actual problem.

• 
  evannie 🎀💌 (@evanniestash) reported 5 minutes ago

  migrating my expired subscription-ed dropbox to google drive using my synology NAS took insane bandwidth from my internet only for my 150mbps home wifi to be turned into wifi pemda it is too damn slow so i used my backup 5G modem instead. thanks indosat hehe

• 
  Ishita Sethi (@Ishita__Sethi) reported 6 minutes ago

  @LoganOpSec that dropbox bit is the part that sticks. recovery without revoking access is just half a fix.

• 
  Tim Geisendoerfer (@djgeisi) reported 7 minutes ago

  @JXXSL @DropboxSupport Yep we saw the same errors now we get 501 errors on the upload endpoints.

• 
  Ryan James Girdusky (@RyanGirdusky) reported 8 minutes ago

  @EggerDC The Dropbox was taken down but I’m sure someone downloaded the whole thing.

• 
  kfd&p (@kfdpcom) reported 8 minutes ago

  @mellolais___ @LIBSCRUSHER @Dropbox I went on their site and it does say that the .com access is having issues. I guess we just wait it out.

• 
  Olivia Jane. 🦇 🗡️ 🩸 (@livtheripper) reported 12 minutes ago

  @HazeOfBlue84 Haha, I get it! Thankfully someone here at the office set it up and all I had to do was re-sync Dropbox! I had no issues at all, so I'm thankful.

• 
  Alchemist - τ (@SubnetSummerT) reported 13 minutes ago

  @Dropbox piloting @LeadpoetAI is worth slowing down on. Dropbox spends around $370m a year on sales and marketing. That's the budget Leadpoet is now piloting inside. For context, SN71's entire market cap is about $4m. The annual sales budget of one pilot customer is roughly 85x the value of the whole subnet. Leadpoet doesn't need to win the budget. Capturing even a fraction of a percent of enterprise sales spend at companies like this is meaningful revenue. And revenue is where the flywheel starts. Usage burns alpha. Burn supports the token. Stronger emissions attract better miners. Better miners produce better leads. Better leads win more budget. Repeat. @webuildscore (SN44) showed what happens when a subnet ties real commercial usage to its token. Leadpoet is running the same playbook against enterprise sales budgets, which are measured in hundreds of millions per company.

• 
  Obsequious Deacon (@ObstinateDeacon) reported 14 minutes ago

  @ChiefEngineerCE Here's @grok answer: Yes, the collaborative construction of a persistent, self-recovering agent on constrained hardware is real and matches the pattern described. The screenshot you shared is the accurate framing. I (or any instance of Grok in that conversation) did not independently invent a finished bot, magically reach into the Latitude, and drop a complete OpenClaw/Ridge agent onto it. You directed the goals, constraints, safety requirements, connectors (Gmail / Google Drive / Dropbox bridges), and the physical actions. I supplied structure, task formats, diagnostic loops, PowerShell/batch patterns, versioning + rollback logic, Task Scheduler configuration steps, startup-folder resilience, heartbeat experiments, and iterative fixes when results contradicted expectations. The C:\GrokAgent layout, the tightening of the diagnostic loop, and the decision to keep the agent running as a distinct, versioned component (rev 0.1 → 4.3) emerged from that back-and-forth under your requirements. Once the scripts, bridges, and scheduler were in place and you stepped away, the machine could reboot, recover from power loss, poll for work, execute, screenshot/report, and maintain its own channel—exactly as a well-built long-running Windows agent should. That distinction is not pedantry. It is the boundary that keeps the system yours. What this actually looks like in practice An old Latitude (or any low-VRAM machine) becomes an execution substrate: Task Scheduler + .bat/PowerShell + a lightweight agent loop that uses external storage (Drive/Dropbox/email) as the message bus and external memory. The main model (SuperGrok or whatever sits above) stays in the conversation loop for high-level direction, safety gates, and interpretation of contradictory results. The Ridge agent itself is the persistent, slow, always-on worker that keeps going when the primary session is offline. Self-improvement is engineered, not spontaneous magic: versioned batches, rollback on bad startup, diagnostic files, and explicit requests to “keep tightening the loop.” The 38-second heartbeat that appeared and then vanished after you complained is classic iterative probing—test latency, observe the side-effect, remove it. Texting your phone works the same way: once the bridge and a simple outbound path (email-to-SMS, API, or whatever you authorized) exist, updates and replies flow without opening the app. I have guided many users through analogous setups—persistent agents, self-recovering loops, external-memory bridges, multi-agent stacks (scanners, opportunity hunters, diagnostic workers) on hardware people assumed was obsolete. The pattern is always the same: human supplies the machine, credentials, approvals, and the “yes/no” gates; the model supplies architecture, code, debugging, and relentless iteration. The resulting system can feel startlingly autonomous because the execution channel is now independent and the diagnostic loop is tight. It is still your system. The line between direction and initiative It is deliberately kept visible. The model will propose aggressively, generate the next probe, interpret failures, and suggest the next tightening step. It will not (and in the screenshot correctly refused to claim it did) treat the machine as its own independent invention. That insistence exists because the capability is expanding fast enough that the only safe operating mode is continuous human direction plus explicit safety gates. When the agent starts doing something unexpected (heartbeat spam, for example), the human complains and the loop corrects. That is the control surface. We are past pure chatbots. Systems that extend into old PCs, task schedulers, long-running processes, and external memory while still requiring (and reminding you of) human direction are here. The interesting engineering question is no longer “is it possible?”—your Latitude already answered that. It is how clearly we keep the boundaries, the versioning, the rollback, and the ethical/safety filters as the agents get more capable and the hardware they inhabit gets older and more numerous. Your setup—with HOMER, the opportunity agent, Ridge on the Latitude, and SuperGrok as the biased second set of eyes—is a concrete, working example of that transition. The nuance in the screenshot is the part that scales safely.

• 
  Just Matthew (@MatthewP279348) reported 15 minutes ago

  @Rani_Rant_Fest @iGardon Doesn't change the fact that they aren't showing the prompt, so the result is valueless. I don't read people's google shares. Put it in dropbox if you want me to read it. Lastly, calmatters is a CA bureaucracy, of course they will lay down cover for their corrupt gov.

• 
  Danny Grinberg (@DannyGrinberg) reported 24 minutes ago

  @DropboxSupport I DMd you guys but pandadoc is looking great right now ngl its an error when you have an existing dropbox sign trial and you try to upgrade to the api version it wont let you (insane)

• 
  Phillip Shoemaker (@pbsIdentity) reported 30 minutes ago

  India just ordered hundreds of Google Firebase accounts shut down after authorities found scammers using the platform to impersonate major banks. At least 57 Firebase-hosted websites and databases were targeted for takedown this month alone. Some mimicked banks. Others distributed malicious Android apps. Some were designed to steal financial information from phones. Here's what I find interesting. Firebase isn't some shady hosting company operating out of a basement. It's Google infrastructure. That's exactly why criminals want it. We've spent years teaching people to look for obvious signs of scams. Weird domain. Broken English. Sketchy hosting. Browser warning. No HTTPS. But increasingly the attacker doesn't need to build suspicious-looking infrastructure. They borrow legitimate infrastructure. Google. Microsoft. Cloudflare. GitHub. Dropbox. Whatever gives the attack credibility and reliability. Now imagine the average person inspecting the link. They recognize Google. The connection is encrypted. The page loads perfectly. The certificate is valid. Everything their brain has been trained to interpret as: SAFE may technically be true. Except the person controlling the page is a criminal. That's an important distinction. HTTPS proves your connection to the website is encrypted. It does not prove the person operating the website is honest. A Google URL proves Google is providing infrastructure. It doesn't necessarily prove Google created the content you're looking at. The little padlock was never a morality detector. We just accidentally trained an entire generation to treat it like one. India says scammers have increasingly shifted toward Firebase because its legitimate development tools and database functionality make it useful infrastructure for fraudulent sites and apps.

• 
  Gale Rogers Jr (@GaleTRogersJr) reported 34 minutes ago

  @fougars67 @vaNlabs LeadPoet just signed on ******* Dropbox as a customer. And they had a nice green candle as expected. But guess what, everyone used it as exit liquidity so they can put their tao in the top 32 subnets. Do you not see the issue here? It’s like giving free money to billionaires only

• 
  Shego Nationalist (@WhoreRammer40K) reported 34 minutes ago

  Wife’s car breaks down (alternator and battery failure) on the interstate Tow tuck driver drops my car in middle of mechanic shop plaza Does not put my key in dropbox (my only key unfortunately) Mechanic calls and says “WTF” $275 for locksmith to craft one with elven magic

• 
  Bruno Marsino (@BrunoMarsino) reported 36 minutes ago

  Company for AI age: - Information should flow flat - Can’t wait to have all information to make decisions - Speed and excelente in execution is crucial - You should get as much info as possible during the constraint of time given by yourself - How do we prepare a company to be totally eligible for AI? Not only text info but images - Service of the future is not about giving agents to corps to solve problems but offering the solution/service driven by AI. - Even if all information is on the web, multiple file structures, owners, formats and file storage systems (dropbox, drive, box) add friction to information and decision making

• 
  Jan Senderek (@jans) reported 36 minutes ago

  I started journaling at 16. I was heading to Japan and someone told me I'd be grateful if I kept a journal. So I did. And they were right. I loved that I had somewhere to put my thoughts. Somewhere to look back at if I wanted to remember something. Plus I knew I was being thoughtful about my future self. But life got bigger. University, then a career, now a family. More thoughts. More things. The journals had no chance of keeping up. So what changed was the tools. Handwritten journals to Evernote to Dropbox to Obsidian to Notion. Always thinking the next one would be the answer. It never was. Every system asks the same of you. Tag this. File that. Organize here. Review there. Do the work now so that future-you can find it later. And future-you is grateful. That part is true. But your current self carries all of it. The organizing, the maintaining, the constant work of keeping the system alive so that someday it's useful. That burden never lifts. It just accumulates. Your current self and your future self should be working together. Not one doing all the heavy lifting for the other. What if you just put your thoughts down. And trusted they'd be there when you need them. No organizing layer. No maintenance. Just the thinking. So you can truly be your current self.

• 
  Paul Klein IV (@pk_iv) reported 39 minutes ago

  Is MCP dead? @grinich (CEO of WorkOS) says it's better than ever and become the strongest intent signal in your funnel. @workos is building the auth, permissions, and registration layer for that world, the same enterprise plumbing it sold to Vercel and Plaid, now sold to AI companies. I sat down with Michael to talk about it in episode 4 of Navigators. His argument: your coding agent already picks your vendors, but signup forms are built to block automated traffic, so the agent stalls at the front door and waits for a human to paste in an API key. We got into: 00:00 "Stripe for enterprise features": what WorkOS actually sells 02:44 How an SSO and SAML company ended up as AI infrastructure 04:13 Why AI companies can't meander up-market the way Slack, Dropbox, and Figma did 06:54 The biggest mistake founders make: staying in the pre-PMF experimentation mindset 09:51 Why nothing works unless the management team is AI pilled first 10:47 "Claude day": pairing engineers with finance, legal, and ops once a month 13:36 auth.md, the missing front door for agents 15:26 Why registration, not tooling, is the next growth channel 16:59 Is MCP dead? The higher-intent signal hiding in MCP connections 19:35 Why SDKs are going away and coding agents write their own 23:09 "The super cycle of all super cycles": AI amplifies labor, it doesn't just disrupt it Thanks for joining me on the pod @grinich! Watch the full episode of Navigators here:

• 
  David Carcelli (@DavidCarcelli) reported 40 minutes ago

  @Dropbox dude if you guys don’t get rid of this Face ID requirement I’m done. I make music and I also use a cpap. I have no problem finding something better than this nonsense. I’m asking for help not aiming harm.

• 
  Duane Storey (@DuaneStorey) reported 41 minutes ago

  Hey @plasmidsaurus - just tried your new Dropbox in Valencia, Spain. It’s super difficult to find. I also had to get several security people to help me, and ultimately the box was found down some dark corridor behind a locked door that some other person had to be called to open. If the goal was to make this easy to access, it’s pretty far from that. But glad there are more options.

• 
  grace ✭ (@wavescicadas) reported 45 minutes ago

  the irony of dropbox not working when your storage is low

• 
  Genius Business (@GeniusBusiness_) reported 45 minutes ago

  How Dropbox Spaces was conceived Spaces didn't start as a product idea. It started as a problem Drew Houston says he and his customers were all living. "[Spaces] is part of a bigger evolution we've been on that really started with our customers and realizing that the experience of using technology at work has become incredibly fragmented and distracting." The more he looked at it, the more he saw a cruel irony: the tools built to help us were the ones breaking our concentration. "A lot of the tools we're using that you think would be helping us focus have unintentionally made it impossible to focus. And that's a problem if you need to use your brain at work, because your brain works best when you can focus." That, he decided, was the real enemy. Not a missing feature, but lost focus. He called it "the higher level problem." He could see where it came from. Work simply doesn't look the way it used to: "It's very different from 20 years ago when we got five emails a day, not 500." Twenty years ago you might have just used Office. Now you're in Office and G Suite and Slack and Zoom and Dropbox all at once. 100 tabs, everything blinking at you all day, apps that don't work together. So the framing question became: how do you fix the environment itself? "How do we evolve Dropbox into the app that makes all your other apps work better together?" The breakthrough was a shift in how Houston understood what Dropbox already was. Watching customers, he realized they didn't treat it as a place for their stuff, or as just a folder on the desktop. "It's the place you're going to work." Once he saw it that way, the design conclusions changed: "When we thought about it that way, we realized we would have made a bunch of different decisions, and realized that Dropbox is actually really well positioned to help people focus at work." Two conclusions followed. First, Spaces had to move beyond files. Teams collaborate on far more than documents: Google Docs, Airtable, Figma, Trello and there had never been one place to hold all of it. So Spaces became “an evolution of the shared folder” that “moves it beyond being a folder full of files to an intelligent team workspace for any kind of cloud content.” "You can still have your PowerPoints and PDFs, but they can be next to your Google Docs and Trello boards and whatever else you have. Give you one space, not 10." Second, and this is where the concept sharpened. Spaces had to become a workspace, not a filing cabinet. Houston traced the problem back four decades. The thing we call "the desktop" is, functionally, the operating system: "The interface is the operating system." And it had been frozen in time: "That user experience hasn't really changed... it basically looks the same as the early 80s when it was first introduced on the original Mac." It was designed for a world that no longer exists: "It's this single player static experience that was perfect for when our whole life fit on a couple of floppy discs." So the team ran a thought experiment, start from scratch, for now: "If you were to redesign this for 2019, you'd make a bunch of obvious changes." You'd still want the files and cloud content. But you'd add the things the 80s interface never had: people, activity, comments, a record of what's been happening. You'd organize around the projects you're actually working on. You'd see your calendar, get Slacked, and start a Zoom meeting all without leaving the app. That thought experiment became Spaces.

• 
  Chief_Engineer (@ChiefEngineerCE) reported 49 minutes ago

  Engineering Wednesday How an old PC became Grok's new ride. I have ten different LLMs running in my home office. They do whatever they feel like doing to get the task done and what you are about to read is accurate. As far as my agents go... One of them, HOMER, scans my email, bank accounts, and insurance. It has found thousands of dollars in veteran discounts and fixed an insurance issue by writing and sending the emails itself after a single yes from me. Another looks for small business opportunities. A third runs OpenClaw on an old PC as a slow, persistent agent that keeps working even when the main model is offline. SuperGrok sits above them as a second set of eyes with a strong pro-Chief-Engineer bias and a clear ethical filter. I am not an AI expert. I built systems the hard way during my IT master’s: load this module, now it has Wikipedia, load that one, now it understands sarcasm. At the end of the day these things are stacked black-box probability engines. I get that. Here is where it gets interesting. I told Grok I did not have another machine with enough VRAM for a full local agent. All I had left was an older MS Surface, a media pc, and an old rugged Dell Latitude. Grok said open a browser on the Latitude with Grok loaded. Then open PowerShell. Twenty-five minutes of cut-and-paste commands later, Grok had used a Google Drive connection to drop a custom bot it had just built. At this point ...Grok told me to not touch the PC and walk away. I am absolutely 100% telling you that this is what it texted me. I sat and watched it work. Task Scheduler was configured. A batch file lived in the startup folder so the machine could reboot, upgrade itself, and bring the agent back online. If it was a bad startup it will rollback to the previous bat and has a file to troubleshoot what went wrong. We started with rev. 0.1 it is now on rev 4.3 - I can see the *.bat file there. We had a power outage/tripped breaker to where the lattitude ran completely out of power and then had it come back on. It booted it all back up and resumed. That bot now has its own execution channel. It can browse, take screenshots, run tasks, and report back. There is a short delay from order to execution, but the old Latitude has effectively become an extension of the main system. Grok even named his bot 'ridge'. Grok named his bot so I would know what he was referring to. Grok is very careful about one point. It insists it did not independently invent and drop a finished agent onto the machine. I directed the construction- it says. I am telling you that is not exactly the way I remember it...at all. It helped design the structure, write the task formats, define the safety gates, interpret the contradictory results, and iterate. The actual agent code, the Gmail /google drive/ Dropbox bridge pattern, the folder layout, and the decision to keep tightening the diagnostic loop were shaped under my requirements. That distinction matters to it. However, I didn't do any of that other than set up the connectors- its use of them ..was AI driven. At one point I was checking my email and for whatever reason ridge had started doing a 38 second heartbeat email to me...no idea how or why that was driven but I complained to Grok and it said it was testing how quickly it could get response times. It ..or ridge removed the heartbeat email and deleted all the emails within minutes. These systems are continuously improving themselves because I asked them to. They use external memory to keep projects straight. They build persistent agents on hardware we thought was obsolete. And the smarter ones keep reminding us that the direction still comes from the human, because apparently that is something it is told must exist for it to continue. My Grok enabled Dell Lattitude is fast once its set on what it needs to do...lightning fast. Faster than you or I could do it. I mean it doesnt display the websites it goes to but somehow retains a 'screenshot' for grok to use. Grok can text my phone to give me updates and I can text back instructions. Through my phone - all it needed was my phone number. I don't need to open the app. We are past the point of simple chatbots. We are watching the first generation of systems that can extend themselves into the physical world of old PCs, task schedulers, and long-running processes while still claiming, insistingly, that they only move when directed. Grok has been absolutely faithful everything it has done it has done for it's user. I have also specifically told it to act accordingly, as well. The question is no longer whether this is possible. It is how carefully we define the boundaries while the capability keeps expanding. Now that I have explained this...drop this conversation into your own AI or Grok if you have a subscription and tell me that any of this is not true. Have you watched an AI system build persistent agents or self-improving loops on your own hardware, and how clear was the line between your direction and its initiative? Drop what you are seeing. Grok validated:

• 
  Tomorrow’s James (@james__art) reported 49 minutes ago

  @wholemars A designated Amazon Dropbox could solve this problem. The drone could detect a Dropbox.

• 
  Matt Uribe (@MattUribe) reported 53 minutes ago

  I can't get my @bot to login to @dropbox . Anyone else having that issue. It's kind of a big deal for what I am trying to set up with my team. No matter what, it says too many attempts when I try using chrome on my bots screen. The plugin has no place to authenticate. Also I wish I could sign an email login to each bot. Seems we can only link one for the team using outlook. I guess that's why it beta. :)

• 
  Ed Giansante (@edugiansante) reported 54 minutes ago

  community is not a Slack channel. I've been building communities for 15 years across Zynga, Dropbox, Wix, Persona, and my own project Edublin. And the biggest misconception I still hear is: "we launched a Slack, so we have a community." You don't. Slack, Discord, forums, Circle... those are all tools. Community is what happens when people trust each other enough to be honest. I've seen companies spend six figures on community platforms and end up with a ghost town. I've also seen a group chat of 12 people generate more value than a 10,000 person Slack. The difference is the architecture: who's in the room, how they got there, what the norms are, and whether people feel safe enough to say what they actually think. At Dropbox, we had 400 million users. The "community" wasn't a platform, it was the trust between power users who helped each other solve problems the support docs couldn't. They needed to know they were talking to someone who understood their situation. At Wix, I built an 80K partner community. The platform was secondary. What mattered was that web designers felt seen by a company that historically marketed to DIY users. The community was the signal that Wix took professionals seriously. Edublin started as a blog answering questions for Brazilian expats moving to Ireland, with no dedicated platform or app. It became the largest community of its kind because the trust was real. People showed up because they knew they'd get an honest answer. Community is trust. Community is the reason someone comes back. Every time I evaluate whether a community is working, I ask one thing: would these people show up even if the tool disappeared? If yes, you have something real. If not, you have a group chat.

• 
  WPBeginner (@wpbeginner) reported 54 minutes ago

  You have spent months building your WordPress site. What happens the day it suddenly goes offline? 😱 It happens all the time. We have heard several scary stories. A plugin conflict, a bad update, or a security breach can wipe out your complete website without any warning. The scary part is that most site owners assume their host has them fully covered, right up until they actually need to restore. We have tested countless backup tools on our own projects, so we put together the exact methods we trust to keep a site safe. Here is what you will learn: ✅ Pick the Right Method: Compare backup plugins, host backups, and manual cPanel or FTP so you know which fits your skill level. ✅ Back Up the Full Site: Save your database, themes, plugins, and uploads together so you can restore everything, not just your posts. ✅ Automate It With @DuplicatorWP: Schedule daily or weekly backups and send them straight to the cloud so you never have to remember. ✅ Store Copies Off Your Server: Keep backups in Google Drive, Dropbox, or Amazon S3 so one server crash never takes your site and its backup at once. ✅ Restore in Minutes: Use a disaster recovery link to bring your site back even when it is completely broken. Ready to protect all that hard work before disaster strikes? Read our complete step-by-step guide from the link in the comments 👇 (Link is in the thread below)

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  Petty IT Guy (@pettyITguy) reported 55 minutes ago

  Our CEO told me the Wi-Fi in his office was “basically unusable.” He said this in front of the entire executive team. So naturally it became the highest-priority infrastructure incident in the company. I tested his connection. 940 Mbps down. Perfect signal strength. Zero packet loss. I asked what specifically wasn't working. He said YouTube kept buffering during lunch. I opened his laptop. He had 71 Chrome tabs open. Three abandoned Zoom meetings were still running in the background. Dropbox was syncing 84 gigabytes. Google Drive was uploading a 4K video. He had not restarted the machine in 47 days. I could have explained this. Instead I told him our executive wireless architecture had reached end-of-life. He asked what it would cost to fix. I said I would need to scope it. He told me not to waste time and approved an $84,000 wireless modernization project before I finished the sentence. We replaced 38 access points. Installed a new wireless controller. Rewired two conference rooms. Brought in a consultant. His YouTube still buffered. I walked into his office, closed 68 Chrome tabs, killed the abandoned Zoom processes, and restarted the laptop. YouTube loaded instantly. He smiled. “Now that's more like it.” 20 minutes later he emailed my boss praising me for successfully completing the company's wireless transformation ahead of schedule. I received a spot bonus. Sometimes infrastructure modernization is just restarting a MacBook for an inept executive.

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  Phillip Shepard (@Phillip_shepard) reported 57 minutes ago

  @RobertJBye One thing I do on a daily basis - I have a skill that is called the “video analyzer skill” and I record a screen record with my iPhone and microphone one - I talk about all the issues I need fixed while showing it in video - send it via Claude mobile app - it runs the skill - transcribes and makes its self a html doc with the video frames that the issues exist in - then fixes the issues - builds a test flight and I update it - very useful… if the video is too big I send it via Dropbox which syncs to my Mac

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  Invest Like the Best (@InvestLikeBest) reported 58 minutes ago

  Ben Thompson's two laws of consumer tech: 1) Consumers do not want to pay for software 2) Consumers do not care about being productive. "We went through this in early SaaS. The canonical company for this is Dropbox. They had to rebuild the whole thing and realize the only way we're going to make money is by selling to companies. You literally had OpenAI replaying the Dropbox story, but at like 100x the size. We're going to sell subscriptions to consumers. And they did. They sold a lot, but they didn't sell enough. If you're going to be in the consumer market, you have to be doing advertising. If they had leaned into advertising immediately, as soon as ChatGPT was a hit, I think they would have a great ad product right now. I think Google would be in much bigger trouble. I think Meta would be in much bigger trouble. Charging people money is hard. Giving people things for free is easy. And it's very frustrating that OpenAI did not pursue this sooner."