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Dropbox Outage Map

The map below depicts the most recent cities worldwide where Dropbox users have reported problems and outages. If you are having an issue with Dropbox, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

Dropbox users affected:

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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.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
Bournemouth, England 1
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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:

  • wecraveai
    AI Crave (@wecraveai) reported

    Open source NotebookLM alternative with no data limits and AI agents. Same idea as Google's NotebookLM. Same chat-with-your-docs. Same podcast generator. Same cited answers. Except this one has no source limit, no notebook limit, no 200MB file cap, and no Google login. It's called SurfSense. Google NotebookLM vs SurfSense: - Sources per notebook: 50 to 600 → Unlimited - File size cap: 200MB and 500K words → No limit - LLM choice: Gemini only → 100+ models via LiteLLM - Local LLMs: Not allowed → Full Ollama and vLLM support - Self-host: No → Yes, one Docker command - Price: $0, $19.99/mo Pro, or $249.99/mo Ultra → $0 forever Here's the wildest part: It connects to 27+ sources Google can't touch. Notion. Slack. Linear. Jira. GitHub. Discord. Dropbox. OneDrive. Gmail. Confluence. Obsidian. ClickUp. Microsoft Teams. Airtable. Your entire work life, indexed once, searchable from one chat box. 14.4K GitHub stars. 1.4K forks. 6,232 commits. Apache-2.0 license. One honest note: the README says it's not yet production-ready and still being actively developed. But it already does more than NotebookLM does, and the gap is widening every release. This is what NotebookLM should have been from the start. Repo in the first comment.

  • CatalyticComics
    Mike Nolan - ⌬CatalyticComics⌬ (@CatalyticComics) reported

    As a developer I wanted to build something that addresses every issue I've run in to as a reader. These are my top ones: - Campaigner emails a Dropbox link and maybe you miss it - DRM/server requirements that amount to "you don't really own it" - No above-board way to share

  • thakares
    Sunil Thakare 🇮🇳 🦀 (@thakares) reported

    @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.

  • wsantos99
    Waldemar Santos (@wsantos99) reported

    @DropboxSupport Hello, I have already sent two emails regarding a problem I’m having with my account, but I haven’t received any response. How can I get assistance with this issue? Thank you.

  • Chaos2Cured
    Kirk Patrick Miller (@Chaos2Cured) reported

    @RealRoseGoblin Do you have Dropbox? Of Google Drive? I am afraid with email I am super slow. If you have a personal phone, I have WhatsApp. I have learned to simply do everything publicly. Mostly to protect myself. Try to DM me your number. Happy to connect. If it is big, you should post it here, on IG, on TikTok… everywhere. •

  • TheOpenWebJP1
    The Open Web JP (@TheOpenWebJP1) reported

    @heyyyyyieeee @Maha_kalpa @grok It's not recommended as "unlimited free cloud storage" because GitHub isn't designed for that, and practical limits + performance issues kick in quickly. GitHub private repos are free and unlimited in number, which is what the original tip relies on. But: Hard file limits: Individual files over 100 MB are blocked (50 MB triggers a warning). Browser uploads are capped even lower (~25 MB). Larger files require *** LFS. Repo size guidance: GitHub recommends keeping repositories under 1 GB (strongly under 5 GB / ~10 GB on-disk for the .*** folder). Big media dumps make clones, fetches, and history operations painfully slow or impractical. *** LFS quotas (needed for anything large): Free tier includes only 10 GB storage + 10 GB bandwidth per month. Exceed that and you hit blocks or billing (depending on settings). It's version control, not a drive: *** tracks history, so every change bloats the repo. Binaries (photos, videos, etc.) are inefficient in ***. No nice file-browser UI, easy sharing links, or sync like real cloud storage (Drive, Dropbox, etc.). Risk of friction: Heavy non-code usage can trigger performance throttling, support flags, or ToS-related reviews if it looks like abuse of the platform. GitHub actively monitors repo health signals. It's fine for small code-adjacent backups or a few files. Terrible as a general-purpose unlimited media dump. Use actual cloud storage (or object storage) for that.

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

    @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.

  • YuhItsShyne
    𝗦𝗵𝘆𝗻𝗲 (@YuhItsShyne) reported

    @zenithfl4re lots of people also use bunkr or gofile if dropbox is giving you trouble and you dont feel like using google drive!

  • imbunniemai
    Bunnie Maiiii (@imbunniemai) reported

    @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

  • suburbancyber
    Suburban Cyber Technologies (@suburbancyber) reported

    Shadow IT used to be "someone installed Dropbox." Now it's "someone connected our CRM to an AI agent without telling IT." Same problem. Different speed. Time to update your governance playbook. That's what I am having to do every couple weeks now it seems. #ITLeadership #CyberSecurity #EnterpriseIT

  • HodlReaper
    HodlReaper (@HodlReaper) reported

    HE PAYS $8 A MONTH FOR NETFLIX, DROPBOX, AND AN IT DEPARTMENT THAT NEVER SLEEPS. One server. One guy. Zero subscriptions. He runs Debian. Free. No license, no monthly fee. Every app lives in its own Docker container. Like apps on a phone. One breaks, the rest keep running. Claude Code runs the whole thing. It writes scripts. It watches the other apps. At 2 AM, when something crashes, it fixes it before he wakes up. He built his own IT department. It doesn't sleep. It doesn't ask for a raise. Plex replaces Netflix. Every DVD and show he owns streams straight to his family. $15 a month, gone. AdGuard kills ads before they hit the Wi-Fi. WebDAV replaces Dropbox, Google Drive, iCloud. Calibre Web holds his entire book library. He mirrored all of Wikipedia. In case the internet ever goes down. He's also building an app on the same server, with its own dashboard tracking rollout errors before they become real problems. Infrastructure scripts watch everything else. Restart what dies. Upgrade what's outdated. He doesn't touch it. Total cost: $8 a month in electricity. Netflix alone costs more than that.

  • 2YOOandBoots
    Boots (@2YOOandBoots) reported

    @twicezulight @chuuize @tsun1verse Skajdkskak ***** is u seriously that slow? U sent me like 10 versions on Dropbox I had u do all the hard work

  • PujaMak0302
    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?

  • Vladic_ETH
    Vladic (@Vladic_ETH) reported

    OPENAI 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.

  • joshpuckett
    joshpuckett (@joshpuckett) reported

    @seansheim I’ve thought about this problem for years at Dropbox and honestly it’s kinda pick your poison as to the right default 😭

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