Dropbox Outage Map

Community Discussion

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Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Santiago Bustelo (@sbustelo) reported 6 minutes ago

  @DropboxSupport THEY ARE GIVING ME CANNED REPLIES. YOU SCREWED MY WORK AND BURIED ME FOR THE FOLLOWING MONTHS TO FIX UP THE MESS YOU MADE UP WITH MY FILES. I DEMAND A REFUND.

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  Some guy (@ibesomeguy) reported 6 minutes ago

  @Voxyz_ai Doesn't sound like a Codex problem, sounds like a Dropbox problem. Syncthing doesn't take your files offline, ever.

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  David Llada ♞ (@davidllada) reported 7 minutes ago

  @Dropbox I’ve been dealing with an issue for a few weeks now, and your AI customer chatbox has been unable to resolve it. It keeps looping through the same troubleshooting steps that haven’t worked, and I’ve already spent over three hours on it. "It looks like our chat has wandered into areas I'm not equipped to handle effectively. Unfortunately, I can only help with Dropbox-related questions, and I'm unable to help you with this topic." I’ve been a customer since 2009. It’s disappointing to reach this point, but this level of support is unacceptable.

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  mel 🩷 (@melodyymami) reported 7 minutes ago

  working on uploading, dropbox must be down bc uploads keep failing. i’ve stayed up as long as i could and i’ll try again in the morning!

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  J. (@munchivelo) reported 9 minutes ago

  track back to just over a year to now. i'd built an automated ecommerce flow that took a whole store end to end. seo would research trends, products, and map those into .js scripts which would launch prompts that read those research files. that would feed an image gen prompt which created designs, set to specific standard. i'd generate them, and then ANOTHER prompt, would check the images, score them with a criteria, and either move them to an accepted folder, or move them to an archive folder. the accepted folders, would automatically fire a script which would open photoshop, map the image to smart layers, in a 'product shot' template i'd made, and then export all of the final product shots to another folder, and then exported the flat designs which would be used for the products. another script took the product images, did visual lookups, generated all product descriptions, renamed the images and generated the seo text. it ran optimizations locally via a jpegoptim and oxipng script. it then uploaded them to dropbox, and via API, would generate a dropbox link map. i had one barebones csv template, which i'd run a ps1 script through to map json files into the csv rows, and insert the dropbox link map. all my images, links, followed the exact same slugs, so it turned 2 hours of manual work into a 5 second bulk rename and insert. it then converted that csv into json, which then itself converted that json into ld-json for product rich listings. ai would write the product description based on a dataseo keywords, and googletrends json file that would run on every product type. collecting keywords for that specific product. it also formed it around brand profiles, copy guides and other things. this was sonnet 3 days, GPT 4.0 days, and it STILL wrote great copy when it had the right guidance. in the .js file, i'd replace all em dashes with a hyphen if they ever appeared. i built a custom product uploader, built my own php plugin which synced to local .js files and connected via rest. it was (and still is) one of the best wc product uploaders that exist, as it completely resets filterlookups only for that product, and is lightning fast because i upload it directly into woocommerce rows from json. no importers, no wordpress malarkey, or WC rest needed. it was 50x faster than wc's own CSV import. the images would be uploaded via ftp, and then on detection, would sync those to the media library, and i'd upload the image meta from the seo run, so they all had captions/alt text etc. it took what would be 3-5 hours of manual work per product, and congested it into a 2 minute image to fully live product system. after that, i'd export sales data, the ai was constantly learning, sales data feeding back to files, which would then teach the ai what products work, what doesn't. what copy worked, what copy didn't. that would then flow back into the original source files which told the ai what images to gen and what products to launch. all of it was local on my pc. i wasn't selling an saas. it was just something that worked for my very particular setup. the thing about it is; i built that mostly with GPT 4.0 and a little bit of 3.5! mostly copy and pasting code manually from the chats in chatGPT. all the plugins, the php, everything. then some of it got improved inside vscode back on the old original copilot plans, when $10 used to last you an entire month of none stop coding. this was before n8n, before agents were even a thing. all of that I built very specifically for myself, local, syncing folder to folder, json file to json file. python scripts watching files, and .ps1 files that would follow up with other .ps1 files, which launched .js files which contained prompts for AI, and hitting the openAI API's whenever I needed the AI layer. eventually i built a terminal tool, which would allow me to run the scripts from the terminal, and i'd manually type in the slugs for which products i wanted processed. all files would sit in specific folders, and scripts would do the rest. i was so excited about that, giving my terminal app a shortcut icon and putting it onto my taskbar. that was a year ago. fast forward to now. the game has changed so much. ANYTHING and i mean anything is possible now. people 'new' to codex, and CC etc don't know how good they have it. my advantage is that i have a year of scripts, a year of tools. i've laid the SYSTEMS in place, to fully map out entire features, precisely, and organized, and build out projects, in one hour, and have it implemented within the next. entire saas features - mousework. but i've had this ******* idea for so long, to build a fully automated, self learning ecom business, that launches products end to end based on it's own research, writing, and growth, but the complexity of it previously , and being busy with life, it never got finalized. the secret is i sync it via etsy too, but they're API keys take FOREVER to aquire, but built my own etsy system, product uploader, which runs across 7 different stores. however, now, i've finally been building the replacement for it. i'll be able to run that exact same system, except this time through a full app, with a canvas, and agent systems instead of .ps1 scripts. not to say i won't run scripts; they're an integral part of any automated workflow, but now it has superpowers, and it can do so so so much more. all the ideas I wanted to do, automated, fully, end to end. not only that, but i moved away from woocommerce entirely. instead i just built my own website builder, which is also fully automated end to end. my brand profiles, my artwork system? i'm still using those, just for more things. now i can launch 50 brands just like it, running the same system, all in about 5 minutes. whether it's saas, local service, or online ecom. i also built an ai automated ad builder. it takes my brands images, or generates images. i've got background removers, and full skills and agents which fully generate the ads for me. it mixes all that into seedance videos, and posts in logos etc. now i take those image/videos, and build instagram, tiktok, facebook vids, generate descriptions, and upload them automatically. it has an every growing library to source from, templates to use, and the system derives right with the websites, so all themes/styles match precisely to the brand. this is why it's so great building for yourself. the amount of reusability you get with it, the fact it's free forever, can never be beaten. none of these saas companies get it. and they're heading in the wrong direction. we could already DO half of what these companies are doing. my own personal SEO system, which i built for my automated web builder, is already 10x better than any yoast, rankmath etc. i skip expensive ahrefs, semrush, and just rebuild their services myself, using API, which is 100x cheaper. except this time it FEEDS my system, and i don't need to lay a finger on it. nobody cares about these little one off apps that won't exist in a year. they're either failing to see the future, or they're hoping for an early exit before they know the dominos start falling. and they don't get it. their 'app' is just a little tiny module in something that thinks bigger. people will want PRIVATE systems. all speaking to each other. not 1200 integrations and 1200 invoices to send to, that don't even have a ******* brain. i'm not selling anything yet. but if you're interested in seeing how i think about automation, then stay a while and listen. the tool i'm building will absolutely help you too. but i'll be honest. i'm actually quite scared to release it, solely down to how powerful it is. not many people do it like i do, and i'm finally on here to tell the world. if you're a cannabilistic, sick sadistic, son of *****, 666, you're in pain but you sit and stick with it, in the midst of business, then drop a you know what.

• 
  Jordan (@GoodLordJord) reported 10 minutes ago

  @SmugFecundity @techsaleshackz One million paying customers narrows it down to only a handful of saas companies in the world. Something with that many customers is obviously mature and has a ton of smb business. Probably something like docusign or dropbox which I could totally see a 50 yo doing ok at.

• 
  Hospital Hell (@HospitalHell) reported 11 minutes ago

  @SteveHiltonx The mostly mail-in/dropbox election system in California is painfully slow, but that doesn’t make it in any way fraudulent.

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  Jeff Preshing (@preshing) reported 13 minutes ago

  What's the point of using smarter models if "smarter" means 10% better at finding obscure bugs and having a sassy attitude? Most of the true productivity gains that coding agents have to offer, which are finite, can be obtained using open-weight models for literally 1/100 of the price. The catch is that you actually need to understand the code you are working on. At the same time, I still think there's a viable business serving proprietary models. People are willing to pay for Dropbox even though FTP is free, and it's nice to throw a tough problem at a stronger model occasionally (if intellectual property limitations allow it). Plus, there's a whole frontier productizing this stuff. Unfortunately, Anthropic is currently in the business of spreading tall tales about future improvements, then shaking down enterprise customers. Most of it is based on 2010s LessWrong posts full of category errors, some of which I remember reading back in those days. And their recent hostility toward users in the name of safety is a result of the same ideological recklessness.

• 
  Oliver Prompts (@oliviscusAI) reported 13 minutes ago

  you pay google, dropbox, and apple $10+/month to store your files on their servers, where they can read them. and dropbox already got breached in 2024. there's a tool that syncs your files directly between your own devices. no cloud, no server, no middleman. it's called syncthing. → real-time sync between any number of devices, peer-to-peer → files go straight between your devices, never touching a third-party server → tls encryption with perfect forward secrecy on every connection → works over lan and internet, no port forwarding needed → file versioning, roll back anything you changed or deleted there is no syncthing server. no syncthing cloud. no company storing your data. the protocol is open, and there's nothing between your devices except an encrypted tunnel. dropbox plus is $144/year. google one 2tb is $120/year. syncthing is $0, unlimited devices, unlimited storage, forever. battle-tested since 2013. run by a swedish non-profit. 100% free. open source.

• 
  Bunnie Maiiii (@imbunniemai) reported 18 minutes ago

  @JohnRai21044566 Ill!!! since Fansly having problem I can not post throu phone atm. I’ll have to get all those files to Dropbox then post on Fansly. This set will be posted in 2 days 😭😭 sorryyyy baby Im bit busy but I’ll try post as soon as I cannnn

• 
  Peter Lake (“world’s anonymous singer songwriter”) (@PeterLakeSounds) reported 23 minutes ago

  @taobanker I might suggest another question: what should you avoid? In that context the multi-trillion dollar bet will have terrific returns. That also means that the money making machines of US won’t accumulate money and accrue value unless there is persuasive evidence that at least the big spenders on data center capex get their money back. Given this is unknown, I assume markets are skeptical. If the largest companies in S&P and all the rest don’t have excess free cash, and plausible they don’t go up a lot. That would yield maybe an on average flat market. The flip side is that models are open, massive parameter models getting quantized will be in windows machines. Silicon Valley and early adopters are doing fascinating things. But for the rest of us, I need nice and simple. And for the first time we’ll have good old home computers that can do the job and with that comes free use from heaven. Outside of specialized discussions people don’t know much about what to do with this. The jardon doesn’t help: context window? Quantized models? Nodes are not parameters, they are like neurons, and AI is so dangerous, but not it’s not…what a world! The really final blow is government intervention now makes it a sovereign requirement for companies to have their own AI. LASTLY! I’ve been thinking about the data holders. box. Dropbox etc. Absurdism and it’s comparables will become a bigger deal as people start to realize they the context “window” = the files and stuff you want it to analyze = can only handle so much Imagine of Box or Drop box had a button that converted all your stuff in MD files or the like? Then it’s show time. The companies that hold data may be more valuable than I realize. Conclusions based on the above speculation: 1) could this impact demand at the data centers? Sure it can. I know tech investors like to hold out their hands palms out and say…something vague and qualities. Yes, data centers are more sophisticated etc. Yet here I was doing some interesting work on a FREE local model, my “dark tokens” are someone else’s lost revenue! How does this math work? No clue. It is telling, however, that NVDA and AMD are committed to local machines. No large company wants model dependency anyway, due to data concerns. 2) Finally I have a great reason to buy a slick cool PC! The higher end stuff will not be throttled down in local because I’m seeing a bunch of them coming our way that will have decent “bandwidth” RAM in addition to high system ram. We’re going retro and this tech is moving so fast. Adoption will increase once you have super good local models on your laptop. …Im falling asleep, but the gist is that the data centers were already speculative, and now we a lineup of expensive but sweet computers running on windows that gives you infinite and faster foundational level stuff.

• 
  Ricker (@0xRicker) reported 26 minutes ago

  Senior engineer just dropped a GPT-5.6 stress test after burning around $200K on API usage: 00:00 - $180K–$240K spent testing GPT-5.6 in Fast Mode 02:43 - The model using browsers, dashboards and settings like a remote operator 05:32 - 67 projects and 20+ hour autonomous sessions 07:07 - Lakebed, T3 Code and native app rewrites in 2–4 hours 15:08 - Rust compiler experiments, 18x speedup and a $91K Dropbox-style build 17:46 - GPT-5.6 fixing a broken Linux GRUB boot through KVM 22:56 - 3D games, weird assets and the remaining frontend taste problem It is a field test for agent loops The future edge is not the prompt It is the loop that can keep working after the prompt stops being useful

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  Rish Agarwal (@rish404) reported 26 minutes ago

  Imagine you have a team covering an event. Boots on the ground. What's the best way to get footage from all of them in a single library Dropbox? Google Drive? Physical hard drives? All of them either don't support it, requires an account for every person or just physically slow and limited Here's how @cutsio is solving that

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  MarkyX 🌹 MafiaBlitz.com (@Marky_X_) reported 30 minutes ago

  For the curious, quite a few publishers won't send anything to Canada because our shipping is insanely expensive. It's been such a problem for the past two years that I got a US dropbox, which isn't exactly a free service.

• 
  Abdullah (@abdinmotion) reported 31 minutes ago

  One video. $48 million in revenue. No ads spent. That's the Dropbox story and most product teams still haven't learned from it. Here's what actually happened: Dropbox had a technically brilliant product that no one understood. Instead of adding more features, they made a 2-minute video that showed *exactly* what the product did. Simple. Specific. Human. Signups went up 10% overnight. Big companies spend millions refining their product. Then they describe it in six bullet points on a landing page and wonder why the sales cycle takes forever. The product video isn't marketing. It's compression. It compresses trust, clarity, and desire into 90 seconds. If a user can't understand your product in a video, the product isn't the problem. The story is. When was the last time you watched your own product video as if you were a first-time user?