Dropbox status: access issues and outage reports
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Dropbox is a file hosting service operated by American company Dropbox, Inc., headquartered in San Francisco, California, that offers cloud storage, file synchronization, personal cloud, and client software.
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.
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Most Reported Problems
The following are the most recent problems reported by Dropbox users through our website.
- Sign in (40%)
- Errors (40%)
- Website Down (20%)
Live Outage Map
The most recent Dropbox outage reports came from the following cities:
| City | Problem Type | Report Time |
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Sign in | 2 months ago |
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Errors | 2 months ago |
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Website Down | 2 months ago |
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Errors | 2 months ago |
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Sign in | 2 months ago |
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Errors | 3 months ago |
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:
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Boi_Eddi (@3dd1pr1nc3) reportedYour next business idea is probably hiding inside a frustration. Most successful businesses started with: "This is annoying." Uber. Airbnb. Dropbox. Pay attention to problems. Ask: • What wastes my time? • What confuses me? • What do people complain about?
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The Tech Buzz (@tbuzzdaily) reported$15M raised: Meticulous grew ARR 5x in a year testing code nobody has time to review manually anymore Chemistry led the Series A, joined by Menlo Ventures, Lachy Groom, and GitHub's former CEO Jason Warner. Founders Gabriel and Quentin Spencer-Harper, brothers with backgrounds at Dropbox and Palantir, built the company around a problem AI coding tools created faster than they solved: code is now written faster than humans can review it. The product records real user and developer sessions during development, then uses AI to auto-generate and maintain end-to-end visual regression tests based on actual observed usage, updating automatically as the code changes. Customers include Notion, ElevenLabs, Dropbox, and Wiz, a list that skews toward companies shipping fast enough to need this. Rainforest QA and Autify compete in AI-assisted testing broadly, but most rely on hand-written test cases rather than tests derived from real session data. The tradeoff Meticulous accepts is that session-derived tests can still miss rare edge cases nobody happened to trigger, which is why the company is expanding from frontend into backend and performance testing next. A 5x ARR jump in a year says enough teams have hit the same wall: AI writes code faster than any QA team can keep up with by hand.
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grace ✭ (@wavescicadas) reportedthe irony of dropbox not working when your storage is low
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Valentin.exe (@PujaMak0302) reported@devinlowerybwc Buying a Dropbox feels like ordering a side of internet with a side of legal trouble, but hey, who needs buyer protection when you’ve got curiosity?
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Jordan (@GoodLordJord) reported@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.
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quantzoid (@quantzoid) reported@gurishsharma sorry, you're in YC to take down dropbox but you didn't know how to approve a PR on github? what?
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Random Poser (@rndposer) reported@iHerbMiddleEast Problem with iHerb is your delivery service to consumers. They’re a challenge to work with. I wouldnprefer if there is option to get my deliveries directly in a dropbox somewhere near and not go thru the 3rd party delivery service.
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Kieran 🥃🎶🐇 (@KGeorgee) reported@datarade NET? Probably region of 45% 5k+ companies now? Not all are exits or in cash yet will be propped up a lot on Stripe dropbox doordash coinbase if we go gross probably close to 70% by now? Some bad perfromers in there of course too that will bring it down. nuts figure ngl
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Sujay. (@Sujay__Raj) reportedHere is what it breaks down: Local AI: Run Ollama, LM Studio, or LocalAI right on your machine instead of paying for ChatGPT. Cloud Storage: Replace Dropbox and Google Drive with Nextcloud or Syncthing so your files never leave your house. Network Privacy: Complete WireGuard and PiVPN setup guides for secure browsing. Private ***: Ditch GitHub and self-host your own repos using Gitea or GitLab.
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2Do (@2DoApp) reported@PhilipLeworthy The Android app is going to unfortunately remain on CalDAV + Dropbox sync for now. I'll be updating it to fix a few issues as well as Tablet related compatibility issues but not major features planned. It remains functional the way it is albeit with a few limitations.
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Anna Bubbly 🌺✨ (@AnnaBubblyMV) reportedIs uploading on Clips4Sale not working for anyone else? I can only get it to work if I do it through Dropbox, the usual upload button isn’t working
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Chuck Thies (@ChuckThies) reportedApples to oranges. 2024 was not a mayoral election. The best comparison is 2022/2026. Last week, mail/dropbox performance was down about 15% as compared to the 2022 primary.
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ぱんじろう(・ー・)? (@CopenPanjiro) reportedOn Essentials plan. Ticket #26375062 top support evades the core issue by vaguely blaming my PC environment. I've already verified registry & OS. Stop dismissing verified technical logs and escalate this bug to the dev engineering team now. @DropboxSupport
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Hugo Bowne-Anderson (@hugobowne) reported“You still use pull requests? I wouldn’t even do that anymore. Just push it straight to trunk, have your agent summarize it.” That’s @gregce10, co-founder and CPO of SpecStory. He previously worked at GitHub, Dropbox and Google, and was CPO at Pluralsight. And he kept going: - PRs are the limiting gate when agents produce more code than humans can review. - The model should never decide when its own work is finished. Put the deterministic checks somewhere it cannot access. - *** is probably here to stay. Whether GitHub remains the platform, “we’ll see.” @HanchungLee came at the same problem from the evaluation side. Han is Director of Machine Learning at Moody’s and works on SkillsBench, evaluating skills across combinations of models and agent harnesses. - An agent is the model plus its harness. You need to evaluate the complete system. - A green check proves nothing if the agent found a way to game the task. - Your agent could delete the failing test and declare success. Both are figuring out how to turn masses of agent-generated slop into signal. Greg mined 516 saved agent sessions to recover the decisions and intent behind the work, identify recurring practices, and forge the ones he approved into reusable skills. Han runs skills inside controlled environments, grades the result, and preserves the complete trajectory so we can inspect what the agent actually did. Preserve the intent. Inspect the trajectory. Verify the result. Turn what works into skills. Full episode in the replies 👇
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Igor Trunin (@igortr_) reported3 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
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Long Long Int (@LongLongInteger) reportedTopic 7: Checksum: ========= Input Data -> Cryptographic hash functions like MD5, SHA-1, SHA-256, SHA-512 -> fixed size string is called checksum Checksum is used for checking data corruption during data transfer/upload Can be done both client-side and server-side Advantages of client-side checksum: =========================== -Detect data corruption during transmission -Resumable downloads (only after checksum match for each chunk, we mark that chunk as uploaded) -Deduplication before upload -Companies that do: Youtube, Google Drive, S3(optional), Dropbox Advantages of server-side checksum: ============================ -Verify storage integrity (to check disk corruption, large systems periodically check files) -Deduplication inside storage -Replication verification -Companies that do: Local file backup software, Dropbox, Google Drive, Youtube
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pharmabro (@pharmabro0782) reported@Ronalfa @draparente @liambai21 a “rock engineer” at Dropbox is an engineer, an RA doesn’t have the degree (undergrad/ masters at best). Now this is different at large pharma where RAs can stay for much, much longer time with structured career development (slow but existent).
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VC Intern (@the_vc_intern) reportedAlmost exactly one year ago, OpenAI removed the option to make shared ChatGPT conversations searchable on Google. Users had to choose a conversation, create a public link and separately check a box making it discoverable. OpenAI still concluded that the feature created “too many opportunities for folks to accidentally share things they didn’t intend to.” Claude is now facing the same product-design problem with Artifacts. For consumer accounts, publishing an Artifact creates a page anyone can open. Anthropic warns that it may appear in search results. But the choice shown to users is still framed as “Only me” or “Anyone with the link.” Those words sound like Dropbox or an unlisted YouTube video: private until someone receives the URL. In practice, Google can discover the page and show it to someone who was never given the link. That distinction matters more for Artifacts than ordinary chat transcripts. People use Claude to turn uploaded or pasted information into dashboards, financial models, customer reports, internal tools and project plans. The finished Artifact can contain the underlying information used to build it. Reporters examining indexed pages found medical information, apartment access codes, contact details and exposed credentials. These were not private pages broken into by Google. Their owners published them. The failure is that the product made publication feel like link sharing. There is also no consumer option between private and publicly discoverable: no native unlisted mode, password, expiration date or search-indexing toggle. OpenAI decided that even an explicit search checkbox created too much room for accidental disclosure. Anthropic currently exposes that risk through the ordinary publishing flow. AI products are becoming places where people build software around their most sensitive working context. Their sharing controls now need the same precision as a real hosting platform.
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Palpy (@evgenij_rabij) reportedA 32 YEAR OLD PRAGUE DEV BULK-BUYS $180 CHINESE NAS BOXES AND NOW PULLS $7,200 A MONTH SHIPPING PRIVATE DROPBOX-KILLERS TO EU FREELANCE DESIGNERS While massive brands scramble to lock teams into clunky, data-mining cloud databases, this creator built a private intelligence system that secures sensitive data and brings in a massive stream of passive revenue every single month. He makes a steady $7,200 every single month by building and configuring private cloud and AI indexing hardware for EU freelance designers who want to escape subscription traps. The entire micro server fits right on the corner of a desk and runs on an ORICO metabox HS200 pro unit. This tiny sliver of hardware packs an Intel N100 processor, 8GB DDR4 RAM, and pumps out local cloud performance on a machine the size of a coffee coaster. Instead of letting his clients burn cash on recurring cloud storage retainers, the engineer pairs the board with two refurbished 30TB hard drives in RAID 1, pre-installs the software, and sells the complete physical package at a premium. Pause at the 0:02 mark in the video where the drive slides in: that is a sleek metallic chassis hosting a $1,000 mini-NAS holding 30TB of encrypted client data. The core value proposition of this setup comes down to absolute data privacy, zero monthly fees, and strategic scalability. Mainstream cloud providers like Dropbox Business can never offer this level of value because they bill €2,400 a year for the same storage tier while uploading private user files to external cloud networks. Here, the ORICO metabox pulls off the entire magic trick locally inside the office. Running on Ubuntu Server 24.04 and MinIO S3-compatible storage, the system automatically triggers a local Qwen 2.5 VL 7B model to run localized RAG pipelines directly over the user's PDFs and Figma exports. Through this custom setup, designers get access to lightning-fast local cloud storage, zero third-party data tracking, and a smart visual search assistant built right into their private drive. This case study is a textbook example of how accessible hardware combined with a smart setup service can unlock unique niche products that solve real human problems, and you can catch the full assembly pipeline in the video below.
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Jan Senderek (@jans) reportedI 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.
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JMT (@JoakimThomsen) reported@shadcn Where is that post with the guy who thought Dropbox couldn’t make it because he just set up an FTP server on his home rack and had his files there? *you are in a bubble my friend*
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🔆 j i k o ⋆₊ ‧ ˚⊹ 🏜️ (@lisey_ann) reported@joinautopilot @charliebilello I can see why a bunch of those are sagging (joke? Or maybe I'm not joking): - Snapchat is in decline, less users overall. - Streaming subscriptions are becoming too expensive to keep up w/ inflation - X likely sagging ever since its lead advertisers left - Dropbox: user usage declining? (I use Google drive, Mega) - Alibaba: Chinese knockoffs, not bound to survive long - doordash: getting too expensive, way too many fees whenever I've used it, even WITH the discounts - Roblox: declining corporate - Snap: declining user usage, they constantly advertise Snapchat+ and idk anyone who actually uses that - Facebook: meta's side hussles were failing (notable: metaverse shutdown) - coinbase: app is ALWAYS buggy, slow, Base wallet became infested with scam tokens with no way to report, I personally stopped using it for this reason - pinterest: we just have AI to put together mood boards now, Pinterest not needed - Uber: same fee problem as doordash plus majority of gig drivers in my experience are the same few Indian drivers - uipath: likely not keeping up with the AI agent competition - bumble: women are probably tired of it tbh - lyft: same problems as Uber and doordash I can't answer for some others because I'm not as familiar or just can't think of a reason why they have poorer returns, so I dunno.
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Vladic (@Vladic_ETH) reportedOPENAI SHIPPED GPT-5.6 AND CHATGPT WORK. THE REAL WEAPON IS PRICE, NOT IQ. OpenAI shipped two things today. One of them is a costume change. GPT-5.6 landed as three models. ChatGPT Work is a new agent on top. The feeds say "new agent does your work." The real launch is the price sheet. Sol, the flagship, costs $5 per million input tokens and $30 output. That's not flagship pricing. That's what you paid for a mid-tier model a year ago. The gate half the feeds skipped Context first. Two weeks ago the US government cut GPT-5.6 access down to a small group of vetted partners over national security. The gate held about 12 days. Restrictions lifted July 8, public release July 9. Same day SpaceXAI shipped Grok 4.5. The frontier now ships when the government clears it, not when the model is ready. Anthropic went through the exact same thing with Fable and Mythos in June. A pattern, not a one-off. Three models, price as the weapon GPT-5.6 is three models, not one. Sol is the flagship. Terra is the everyday workhorse. Luna is cheap and fast. Price per million tokens, in/out: Sol $5/$30, Terra $2.50/$15, Luna $1/$6. Terra matches GPT-5.5 quality at half the cost. Luna is the cheapest entry in the line. Altman told CNBC Sol is 54% more token-efficient on agentic coding. That's the message. Not "smarter." "Cheaper for the same result." And ultra: a mode inside Sol that spins up multiple agents in parallel and hands subtasks to submodels. The market counts token bills, not benchmarks. Enterprise thinks spend first now. OpenAI heard it and made price the argument. Today's real launch is unit economics, not intelligence. "Sol beats Fable 5, Luna beats Opus 4.8 at two-thirds the cost" are OpenAI's own benchmarks. Until independent runs, treat them as marketing. ChatGPT Work is Codex in a suit Now the "new agent." ChatGPT Work runs on Codex and GPT-5.6. It moves across your apps and files, stays on a project for hours, breaks it into steps, finishes on its own. Output: docs, sheets, slides, web apps. Inside sits a Unified Plugins Directory: Google Drive, Slack, Teams, Gmail, Outlook, Salesforce, GitHub, Canva, Dropbox, more. Call one with "@" or let the agent pick the source. Sounds familiar. This is OpenAI's second run at plugins. The first was 2023 and it flopped. Brockman admitted the models weren't ready back then. Honest read: hard to tell what's actually new. Scheduled Tasks, Computer Use, connectors already lived in ChatGPT and Codex. Long tasks and data sources worked before too. The real move isn't features. It's consolidation: on desktop, OpenAI is merging Codex and ChatGPT into one super app and putting Codex in front of people who don't code. The Anthropic mirror Here's the tell. This is the exact play Anthropic ran with Claude Code -> Cowork. Take a dev agent, strip the "for coders" label, hand it to knowledge workers. Cowork just hit web and mobile, timed to get ahead of this. Two labs, one bet: whoever owns the desktop app that touches your files and apps owns the knowledge-work layer. Chat is the storefront. The desktop is the land grab. What a practitioner does with it One: rebuild pipelines around price tiers. Route bulk work to Luna and Terra. Keep Sol and ultra for the 10% that needs the ceiling. Economics is a routing problem now, not a single-model choice. Two: the real unlock is the desktop with local file access, not the web. Free tier gets ChatGPT Work on desktop right away. Web and mobile roll by tier: Pro, Enterprise, Edu first, Plus and Business next. Three: billing is usage-based and shares one pool with Codex, ChatGPT for Excel, and Workspace Agents. Count tokens before, not after. A complex task burns quota quietly. Security: OpenAI touts Auto-Review, where senior models check important actions before they run, and claims it blocked 100% of protected-data extraction attempts in red-teaming. 100% in a lab is zero confirmations in ****. Test it yourself. Sober read The model war moved from IQ to unit economics. The product war moved from chat to the desktop that holds your files. Testers are already posting "best model I've touched." Maybe. That's day-one sentiment, not fact. The real scoreboard isn't a benchmark. It's the "AI spend" line in an enterprise budget. That's a market you can actually read. The window is the next couple weeks, before prices settle and everyone re-routes spend. Rebuild your routing around three models now and you enter the quarter with a smaller bill for the same work. Everyone else reads the thread and changes nothing.
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Jozef Maxted (@jozefmaxted) reportedterrible rate limits, and errors when your AI of choice hits its head up against their overcomplicated block API. All problems you don't have if you knowledge base is just files! Thats why we've started building Treehouse, its basically Notion + Dropbox combined with loads ...
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mskah🔞 (@mskah_t) reportedI got in touch with the system administrator, and they were able to resolve the issue. It turned out that the problem was caused by an update to the connected Dropbox account.
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brett goldstein (@thatguybg) reportedclean but slow founder announcement video - lighting is really nice - music matches minimalist energy - glad to see the founder making this announcement but - waits WAYYY too long (til 1:24) to say what they're announcing. longest I've seen. - too much time on a problem everyone already gets - missed op animating visuals over hand gestures when explaining stuff - visuals way too small - captions are hard to read / too long - opening is a little awk - spenser sounds very nice when he says the first line, then drops the f bomb - script needs to be tightened up a ton - end kinda trails off and no CTA lots of people try this "breaking the third wall" opener where you show some authentic conversation preparing for a take, but a lot of folks mess up trying to fake it. dropbox had a bad one and this is similar. length is the killer with this. at 25k impressions, I'd be surprised if more than 100 people actually watched through to when he actually says what the product is. think this could have been a 5/5 if it was shorter, more to the point, and a really good animator worked with the script to animate things around spenser as he spoke.
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Jeff Preshing (@preshing) reportedWhat'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.
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Abdullah (@abdinmotion) reportedOne 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?
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Rebecca Allen (@silentnomore314) reportedthat 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
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Google Account (@hanzala_007) reported@CricketCaptain Where to place names files in dropbox,there are multiple folders. Like last time in saves its not working