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Dropbox

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
Paramaribo, Paramaribo 1
Bogotá, Bogota D.C. 1
Auxerre, Bourgogne-Franche-Comté 1
Salt Lake City, UT 1
Madrid, Madrid 1
Conneaut, OH 1
City of London, 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:

  • EvanOtero
    Evan Otero (@EvanOtero) reported

    A decade-old Quora post on Dropbox that is a better product masterclass than any book: Q: Dropbox: Why is Dropbox more popular than other programs with similar functionality? A: Well, let's take a step back and think about the sync problem and what the ideal solution for it would do: - There would be a folder. - You'd put your stuff in it. - It would sync. 
They built that. Why didn't anyone else build that? I have no idea. "But," you may ask, "so much more you could do! What about task management, calendaring, customized dashboards, virtual white boarding. More than just folders and files!" No, shut up. People don't use that crap. They just want a folder. A folder that syncs… That is what it does.

  • moviesplusgames
    The New Release Guy (@moviesplusgames) reported

    @Dropbox Maybe it is a skill issue, like ppl keep saying....bc they're WAY behind a company like X.

  • ryanlpeterman
    Ryan Peterman (@ryanlpeterman) reported

    Top 3 takeaways from my conversation with @jamesacowling (CTO of Convex, former Senior Principal at Dropbox): 1) Career advice for the AI era - His take was that software isn’t about syntax or algorithms. It’s all about conceptualizing problems and coming up with clean solutions for them. And to build that muscle takes experience. He urged that people shouldn’t stop exercising that muscle or you’ll atrophy be left behind. Use AI but also make sure you aren’t being passive in your learning. The other major point he had was that using Claude Code isn’t that hard if you are a good engineer. The value isn’t in memorizing the details and learning all the latest AI tools. The important part is building things and solving problems that matter. He said you should just ignore Twitter for the most part and focus on what actually matters. 2) Fixing broken team incentives - The problem we discussed is when a team’s identity, mission and name all revolve around a system they own. What happens is these teams end up trying to protect the system rather than doing what is best for the company. The example fix James gave is when he was at Dropbox, he worked on a huge migration to move off of AWS. The resulting team was named after the system they built. He went out of his way to rename the team the “Storage team” instead. The reason this was so important is he felt that the direction of the team should be oriented around the problem they are solving for the company. Otherwise, imagine if moving back to AWS turns out to be better for the business. The team named after the existing system would have natural incentive to battle doing the right thing. He called this phenomenon “system bias” 3) Simple systems are the goal - To the untrained eye, simple systems can seem obvious but actually designing simple systems is much harder than building complex ones. And the key James mentioned is that simplicity reduces operational burden. Simple systems are easier to keep running and debug when they break. I asked him for a concrete example and he shared how Dropbox managed the metadata for where files are actually stored. All they did was have a cluster of 1000 MySQL nodes that stored the block ID and its location. Many people would say it wasn’t sophisticated but all the alternative proposals would ruin observability and simplicity of querying this data. The idea of complexity being incentivized in larger tech companies frustrated him. To him, the goal is to solve the problem not to check off the box for complexity.

  • moviesplusgames
    The New Release Guy (@moviesplusgames) reported

    @Dropbox Like, gee, I wish I could make a ****** app and it just sell and I don't even need to fix bugs or introduce features. Must be nice if you're a big *** corporation. Only the people suffer.

  • infuse
    Infuse (@infuse) reported

    @Zvomuya This may be a temporary issue with Dropbox. If it's still happening can you try restarting your device to see if this helps?

  • tryraziel
    Raziel (@tryraziel) reported

    Drew Houston got rejected by every major VC in Silicon Valley before Dropbox became worth $10B. His story shows why persistence beats perfection. 2007: Houston demos file syncing to VCs. The response was brutal: → "This already exists" → "Google will just build this" → "Not a big enough market" One VC told him: "Why would anyone pay for storage when it's getting cheaper every day?" Houston's mistake: He was pitching technology, not the problem it solved. The pivot moment came when he made a simple 4-minute demo video showing Dropbox in action. No technical jargon. Just: drag file here, access it anywhere. The video hit the front page of Digg. 75,000 signups overnight. Suddenly VCs were calling him. Sequoia led his Series A. The same firm that initially passed. The lesson: VCs don't invest in features — they invest in problems worth solving. Houston learned to sell the pain point (lost files, USB drives, email attachments) before selling the solution. Today Dropbox has 700M+ users and went public at a $9B valuation. The rejections weren't about the product. They were about the pitch. What's the biggest lesson you've learned from getting rejected?

  • AdeelKh14332183
    Adi K. (@AdeelKh14332183) reported

    Don’t pay for Notion, use Obsidian Don’t pay for Slack, use Discord Don’t pay for Zoom, use Google Meet Don’t pay for Jira, use Linear Don’t pay for Salesforce, use HubSpot CRM Don’t pay for QuickBooks, use Wave Don’t pay for DocuSign, use Dropbox Sign Don’t pay for Calendly, use Cal Don’t pay for Intercom, use Crisp Don’t pay for Webflow, use Carrd Don’t pay for Airtable, use NocoDB Don’t pay for 1Password, use Bitwarden Most startups don’t have a revenue problem. They have a software subscription problem. You don’t need a $30k tech stack to build a great company. You just need smarter tools. That’s an easy $15,000+/year saved.

  • investandcreate
    Music, Film & RE Investments (@investandcreate) reported

    @0xajka @Dropbox What’s your problem? @dropbox support is horrendous.

  • csharpfritz
    Jeff Fritz (@csharpfritz) reported

    @saltnburnem Buddy... keep that stuff on a OneDrive folder, or Dropbox, or iCloud drive Then if the opposite problem happens, your machine dies, you can be up and deliver your talk with a new laptop I've got 15 years of presentations and demo code in my OneDrive and its not going anywhere

  • anirudhology
    Anirudh Sharma (@anirudhology) reported

    @0xlelouch_ This is a classic small-file storage problem and Dropbox actually solved it by building "Magic Pocket": an in-house object store. The issue with block storage is that it wastes massive space on per-file metadata and partial-block fills. For 10B files, this overhead can cost up to $ 90K/month. Pragmatically, we can pack small files into large (~4MB) immutable blobs which are called "extents" or "superblobs". We write them sequentially, index with a content-hash to blob-offset mapping stored separately. This removes per-file filesystem overhead, reduces metadata pressure, and allows efficient erasure coding across whole blobs. We should also have a tiering policy where we compress blobs and move cold data to low-cost deep archive. Dedup at file level can also be incorporated. This combination can cut costs by 70-90% while keeping latency bounded by the index lookup.

  • CtrlAltDwayne
    Dwayne (@CtrlAltDwayne) reported

    @swyx Brb, creating a YouTube clone. The software part is easy, it's the infrastructure for a lot of these that's the problem. Once you scale a Dropbox, Zoom or YouTube clone you start burning money fast undoubtedly.

  • pvicens_
    Pato (@pvicens_) reported

    @ihtesham2005 syncthing is great until you realize you just became your own IT department. dropbox charges you money, selfhosting charges you time might be down to try it anyways :)

  • feyza_esnkya
    Arythick-Ft$🍑💦 (@feyza_esnkya) reported

    Hold my head down on the **** till I can’t breathe! 😩🍆 Full video available on Dropbox 🔥👀

  • MacroWire_US
    MacroWire (@MacroWire_US) reported

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

  • MuneebNaseem
    Muneeb Naseem (@MuneebNaseem) reported

    The most honest data point on consumer AI economics right now is a YC batch. Of 175 companies in the most recent cohort, only 16 built for consumers. That is a 91% enterprise skew inside the accelerator that historically launched Dropbox, Airbnb, and Reddit, all consumer-first. This is a structural verdict on where the money goes when founders do the math. The unit economics of consumer AI are genuinely broken at the moment. Subscription tiers for a product like ChatGPT compress quickly toward a local revenue maximum because the same users who pay $20/month for Plus would pay $200 for the same output embedded in a workflow they already fund through their employer. Enterprises pay per seat, per token, and per integration without the churn rate that plagues direct-to-consumer apps. Founders at YC read this signal faster than VCs publish it. Brian Chesky himself called out that there is no consumer business model for AI he has seen that scales past a local maximum. The second-order consequence is a talent concentration effect. The 16 consumer-focused companies in that batch will recruit from the same pool as the 159 enterprise ones, at lower expected revenue multiples. That means consumer AI as a category runs lean or runs out of runway before it finds distribution. The parallel to 2012 mobile is instructive. Enterprise dominated early SaaS on mobile too, until one consumer behavior, photo sharing, unlocked a new monetization surface. The category that unlocks consumer AI monetization has not shipped yet. Until it does, every YC batch will look like this one.

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