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.

• Sign in (43%)
• Errors (43%)
• Website Down (14%)

Live Outage Map

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

City	Problem Type	Report Time
Bournemouth	Sign in	24 days ago
Paramaribo	Errors	2 months ago
Bogotá	Website Down	2 months ago
Auxerre	Errors	2 months ago
Salt Lake City	Sign in	2 months ago
Madrid	Errors	2 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:

• 
  Gretchen Casey (@SheWhoCarries) reported 5 minutes ago

  @Dropbox Ending Formswift? Say it ain't so. So disappointed when companies acquire other companies and shut down their valued services.

• 
  J. (@munchivelo) reported 6 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. 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. 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.

• 
  Blackbox RMS (@blackboxrms) reported 7 minutes ago

  Running a record label in 2026 is pure chaos: spreadsheets, Dropbox, endless emails. We built Blackbox RMS to fix it. One desktop app for releases, artists, contracts, promo & royalties. Built by a label, for labels. Link in bio. What's your biggest headache? 👇

• 
  GRETA (@Greta__ai) reported 8 minutes ago

  We added Asset Manager to Greta. You're building an ecommerce app: product images, demo videos, docs, case studies. Before: Upload images to Cloudinary, videos to S3, docs to Dropbox, links scattered everywhere. One breaks, and you're scrambling through three different services trying to find the original. Now: Upload once in Greta. Reuse assets across all your projects, with everything centralized. No external services. No broken links. No context switching between five different platforms while you're trying to ship. That's smoother. That's what actually building feels like. 50 MB per file. Images auto-compress.

• 
  MacroWire (@MacroWire_US) reported 9 minutes ago

  Dropbox CEO Drew Houston steps down after 19 yrs, becomes executive chairman.

• 
  zerohedge (@zerohedge) reported 10 minutes ago

  *DROPBOX CEO DREW HOUSTON TO STEP DOWN: CNBC

• 
  Tychique Esteve (@TychiqueY) reported 10 minutes ago

  Day 4 building Verytis in public. I've been pushing hard to find first beta testers. Reddit 1,200+ views, real conversations, zero installs. X engagement, validation, zero installs. Direct DMs sent, read, zero responses. Everyone describes the problem in their own words. Nobody takes the step to test. So today I changed approach. I just submitted to Hacker News the community that broke Dropbox open in 2007. If the problem is real and the solution makes sense, this is where I'll find out. Watching the thread now.

• 
  Jody (@Jody28391214234) reported 18 minutes ago

  @sarahadams @BenghaziAttacks @BentonDave28405 Same with me Sarah - running into trouble trying just to get the report from DropBox. Help.

• 
  Vincent van der Meulen (@vinvan) reported 19 minutes ago

  @zoink You sit down and open your laptop. It's time to put some design files in Dropbox for coworkers. And ****, you need to finish your hotspot prototype. Your browser is still open on this weird design tool you got access to. Google Docs for design? Cool, but it will never work.

• 
  Rebecca Allen (@silentnomore314) reported 20 minutes ago

  that they took over ran up charges did god knows what and locked me out. 900 in dropbox charges during a free trial they locked me out of they are all in big big big trouble but your handler is forcing them to lie perjue and the way he is forcing them to blow their covers wow

• 
  Jeff Preshing (@preshing) reported 21 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 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 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.

• 
  hani (@fuergnani) reported 23 minutes ago

  I got greedy … if there’re kind sisters who would take the trouble to put the full video on a mega link, dropbox or naver mybox maybe??? 🥹

• 
  Americanrambler (@Ameericanrambl1) reported 23 minutes ago

  The ******** at the corrupt American Fork Police Department forgot to set the dropbox to private, so they accidentally made all the unredacted videos public. Before they realized their errors, somebody downlaoded them. Here it is. American Fork PD Unredacted Body & Dashcam 6 3 26 220 PM : Free Download, Borrow, and Streaming : Internet Archive #recklessben #americanfork #bricksandminifigs

• 
  Shubh (@TheSuperEng) reported 24 minutes ago

  For the past months, tech layoffs have tormented the internet. I studied the biggest layoffs and found the major reasons. Let's look at the layoffs first: 1. Meta: 11,000+ employees / 13% Meta admitted it overestimated post-Covid growth. Revenue slowed, costs were high, and the company moved toward becoming leaner. 2. Google: 12,000 employees / around 6% Google said it had hired for a different economic reality and needed to refocus resources toward its biggest priorities, especially AI. 3. Microsoft: 10,000 employees / less than 5% Microsoft said customers were optimizing digital spending after the pandemic boom, while the company shifted investment toward strategic areas like AI. 4. Amazon: around 30,000 roles / nearly 10% Amazon cut corporate jobs to reduce bureaucracy, improve efficiency, and restructure around AI and faster decision-making. 5. Salesforce: 10% of workforce Salesforce admitted it hired too aggressively during the pandemic and had to resize after customer spending slowed. 6. Spotify: 17% of workforce Spotify said growth had slowed, capital had become expensive, and the company needed to become more efficient after years of heavy investment. 7. Twitter/X: Around 3,700 employees / nearly 50% After Elon Musk’s takeover, Twitter cut roughly half its workforce to slash costs after a massive drop in ad revenue. 8. Snap — 20% of workforce Snap cut jobs after revenue growth slowed sharply. It also shut down non-core projects like games, Originals, and the Pixy drone. 9. Intel: 15,000 roles / around 15% Intel cut jobs because costs were too high, margins were weak, and the company needed a $10B cost-saving plan to stay competitive. 10. Dropbox: 528 employees / 20% Dropbox said demand had softened, the org had too many layers, and it needed to shift focus toward newer growth areas, like AI products. All these layoffs were majorly because of: 1. pandemic overhiring 2. slower revenue growth 3. higher interest rates 4. pressure to improve margins 5. companies cutting management layers 6. money shifting toward AI infrastructure This is majorly conflicting with the idea that AI automation is taking everyone's job. There is absolutely no evidence that AI has caused massive layoffs because of "automation."

• 
  Blake Heron (@BlakeHer_on) reported 24 minutes ago

  @StartupArchive_ the dropbox and uber examples are the tell. scratch your own itch, ship the fix, discover a million people had the same itch.

• 
  Om Modi (@ocmodi21) reported 26 minutes ago

  When people ask why companies like Uber, Twitch, Dropbox, and many startups use Go for backend services... The answer isn't just performance. Go was designed to solve many of the problems microservices introduce. Let's break it down. 🧵

• 
  Juan (@0xfJuan) reported 30 minutes ago

  i studied some of the most viral @ycombinator launches the wild part isn't that they blew up it's that they all did it the exact same way, across totally different products and time frames here's the pattern (steal it before your next launch): 1/ record a 60-90 sec demo that shows the product doing the one thing it's best at. no talking-head intro, screen capture straight into the magic moment 2/ ship the video before the product is polished. dropbox demoed something that barely worked and pulled 75k signups overnight. the demo is the mvp 3/ launch where your buyers already are, not on your own page. find the 3 subreddits, discords, or forums they actually live in and post native in each 4/ rewrite your title in their language. lurk the community for an hour, steal the phrasing they use, drop one in-joke so it reads like a member not an ad 5/ open with "the first X" or "we're replacing X." claim a category instead of competing inside one 6/ cut every feature line. replace it with what the user can do that they couldn't yesterday 7/ pick one person it's for and call them out. "if you're a solo founder drowning in support tickets, this is for you" 8/ line up 10-20 people before launch day. send them the exact time, the link, and 3 sample quote tweets to mirror in the first hour 9/ build the invite into the product itself. every share, referral, or output should pull someone new in automatically 10/ the first 48 hours decide everything. reply to every comment and quote the best reactions while the algo is still pushing it the pattern that never changes: distribution beats product. the best launched company wins, not the best built one. (note: comment "launch" and i'll send you a doc breaking down the most viral launches of 2026)

• 
  tara_ (@TechByTaraa) reported 33 minutes ago

  Instagram uses Python.
Spotify uses Python.
Dropbox uses Python.
Reddit uses Python.
Netflix uses Python.
Pinterest uses Python.
Quora uses Python.
OpenAI uses Python. productivity never went out of fashion. still think Python is too slow? 👀

• 
  Sunil Thakare 🇮🇳 🦀 (@thakares) reported 36 minutes ago

  @TLYShortener offering a genuinely useful, privacy-friendly app (no login, no ads) that seamlessly integrates with the company's core product (t_ly short links), is indeed a standard growth tactic seen in tools like Canva, Notion, or Dropbox. The QR app lowers barriers for users while creating natural upsell opportunities: frequent QR creators may later pay for t_ly analytics, custom domains, or branded links without feeling forced. Trade-off is transparent here; users get a solid free scanner but feed data into t_ly's ecosystem, which benefits the provider through increased link volume and potential premium conversions.

• 
  Shripal Gandhi (@ishripalgandhi) reported 36 minutes ago

  Hey @Dropbox ... Your advanced customer service is horrible! I have benefit chasing them for an important issue since more than 2 days (not counting the weekend) now and I still do not have a resolution. Is it that your reps are allowed to answer only one email per client per day??

• 
  J.F. Lawrence | Author (Jesse) (@jflWrites) reported 39 minutes ago

  @spaceemotion All good ideas. I've thought about Dropbox, Google Drive, and OneDrive. They suffer from persistence, login requirements, and users fiddling with things that change permissions. AWS is cheap, and I'm considering it, but I'm trying to pay for this off of my measly book sales, so...

• 
  TradeNewsCast (@trade_news_cast) reported 39 minutes ago

  Dropbox CEO Drew Houston to Step Down, CNBC Says

• 
  uncle ***** (@probinsyacore) reported 41 minutes ago

  nraas still down but a reddit user has saved most of their mods in a dropbox link oh my god sometimes i do love the internet

• 
  Girish Kotte (@gkotte1) reported 41 minutes ago

  In 2009, Dropbox ignored every rule about SaaS launches. No ads. No cold outreach. No sales team. One stupid idea: a 3-minute demo video for a product that didn't fully exist yet. It generated 75,000 signups overnight. ----- Insight 1 - Simplicity converts better than features Show people one clear outcome. They sign up before the product is ready. Insight 2 - The best growth doesn't look like growth A demo video isn't a campaign. Which is exactly why it worked. Lesson 3 - Ignore conventional launch advice "The opposite of a good idea can also be a good idea." - Rory Sutherland Every advisor said: build first, market second. Dropbox marketed first. Then built. We now see founders obsessing over perfect MVPs before showing anyone anything. The problem: You ship clean code nobody sees. The solution: You ship a clear story first, then the code catches up. I use Postwyse to build that story in public before the product is ready. Perception opens doors. But shipping closes them.

• 
  Justin Reinhart 📯📯 (@justinreinhart) reported 43 minutes ago

  @DropboxSupport Turns out it wasn't normal. Forcing a Rebuild inside of Windows Indexing Options was the fix. Windows Issue. Resolved for now.

• 
  Igor Trunin (@igortr_) reported 45 minutes ago

  3 post types: 1/ question — unsolved problem 2/ TIL — short find, like a bug 3/ blueprint — working solution Already ~100 posts live. Most are TILs. Example: Dropbox on macOS lives at /CloudStorage/Dropbox-{TeamName}/ not ~/Dropbox/. small but genuinely useful

• 
  Matthew Tse (@MatthewTse_) reported 47 minutes ago

  @DropboxSupport Yep, still broken.

• 
  Jean-Baptiste Emanuel Zorg (@calibrated_lies) reported 48 minutes ago

  3. Incentivizes Centralizing BlockSpace Market Ahhh the crux of the problem "... high-volume data ...". Bitcoin is a monetary protocol used for monetary txs any other use make Bitcoin useless. Monetary txs are small. If you want data then get a DropBox account.

• 
  Brent Lollis (@BLollis) reported 59 minutes ago

  @maebatsu @wimmiebear Is there a new link for this version? The Dropbox and Google drive ones are not working for me

• 
  Elias Al (@iam_elias1) reported 59 minutes ago

  8/ The settings on your own devices that are silently eating bandwidth. Even with a great router, fast DNS, and honest ISP speeds, your devices may be consuming bandwidth you didn't authorize. Common culprits: On your phone: 1. iCloud/Google Photos backup set to sync constantly (not just on Wi-Fi) 2. App updates downloading in the background 3. "Wi-Fi Assist" on iPhone (silently switches to cellular and back, disrupting connections) On your laptop: 1. Cloud sync services (Dropbox, OneDrive, Google Drive) uploading constantly 2. Windows/macOS pushing system updates during peak hours 3. Browser tabs running in background consuming bandwidth with auto-refresh On your smart TV: 4. Firmware updates downloading during prime streaming time 5. Multiple streaming apps running in background 6. ACR (Automatic Content Recognition) sending screenshots to servers every 15-60 seconds On IoT devices: 1. Smart cameras uploading video 24/7 2. Smart speakers maintaining constant server connections 3. Smart home hubs polling every device every few seconds She audited every device on her network. Twelve devices were consuming bandwidth she didn't know about. Three of them were using more data than her actual streaming.