Dropbox Outage Map

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Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

• 
  TechSignal (@tchsignal) reported 45 seconds ago

  How a Lenovo ID Flaw Exposed Dropbox Accounts A security flaw involving Lenovo ID exposed an unusual weakness in account authentication: attackers could reach some Dropbox accounts without knowing the victims’ Dropbox passwords. According to Dropbox and Lenovo, the issue involved a legacy integration between the two services. A problem in Lenovo’s email-verification process allowed an unauthorized person to create a Lenovo ID using someone else’s email address. Because Dropbox trusted Lenovo ID as an authentication method, that identity could then be used to access a Dropbox account associated with the same email. Dropbox says unauthorized access occurred between August 4 and August 21, 2026, affecting about 5,000 accounts. Fewer than one-third had files viewed or downloaded. The incident does not show that Dropbox’s broader infrastructure was breached or that Dropbox passwords were stolen. The weakness was in the authentication chain connecting the two services. Dropbox expired Lenovo ID-authenticated sessions and changed the login flow so users must now enter their Dropbox password when signing in through Lenovo ID. #Cybersecurity #Dropbox

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  Vladislav Zharkov 👾 (@_vladislavzh) reported 2 minutes ago

  I have zero industry experience. None. I don't know how to use issue trackers, I need a GUI for version control, I deliver my files through Dropbox. I don't have templates, I restart or reuse every time. I don't use industry standard tools, I don't know workflows and pipelines.

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  Sean Knox (@Opp_Knox) reported 3 minutes ago

  @dhh One drive is the only thing keeping me on Mac/windows. Personal I’m down to switch to Dropbox or self hosted. Business I can’t.

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  M.Ellis (@MEllisPhotograp) reported 3 minutes ago

  @DropboxSupport ive tried mircosoft edge but problem is stil present... do you think i might have been hacked or had bad file ?

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  kingofDEpin (@kingofdepin) reported 9 minutes ago

  @DropboxSupport @LIBSCRUSHER we can't login and link creation etc is not working. please fix

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  Mapacho (@Mapacho111) reported 10 minutes ago

  @MajorianBTC But that’s the problem. Bitcoin in its current state is a decentralized Dropbox. Bitcoin failed and there’s no alternative.

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  M.Ellis (@MEllisPhotograp) reported 10 minutes ago

  @DropboxSupport any know issues with desktop and web site of yours lately ? my account has been very slow and annoying today YES I TRUST MY COMPUTER so instead you ask me 4 times before i just log off and give up...

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  Abhishek Singh (@0xlelouch_) reported 12 minutes ago

  System design question. How would you design Dropbox file sync with conflict handling? Constraints to make it real: 1) Clients are offline for days, then reconnect over flaky networks. Upload is resumable and idempotent. 2) Same file edited on 2 devices before either syncs. You need deterministic conflict detection (hash + version vector/etag?) and a UX for duplicates. 3) Renames/moves vs edits: preserve history and avoid treating rename as delete+upload. 4) Large files (2–10GB) need chunking, dedupe, and partial re-upload (content-defined chunking vs fixed). 5) Consistency: per-file ordering vs global ordering. What is the conflict scope and how do you prevent flip-flopping? 6) Server state: metadata store vs blob store, retention for old versions, and how you garbage collect orphaned chunks 7) Security: encryption at rest, per-user keys, and how sharing folders changes trust boundaries

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  WPBeginner (@wpbeginner) reported 12 minutes ago

  You built your WordPress site over months (or years). One bad plugin/theme update can wipe it all out overnight. 😱 Plugin conflicts. Malware. A botched migration. A hacked server. The disasters that take down WordPress sites usually happen without warning. And here's the mistake most site owners make: they think their hosting provider's backup is enough. It's NOT. If the server fails, you lose both your site and the backup. We share the complete step-by-step guide for backing up your WordPress site the right way. Here is what you will learn: ✅ Use a Backup Plugin (Best for Most People): @DuplicatorWP is what we use across our sites. Full-site backups, disaster recovery links, and restore without having the plugin pre-installed. Free version available, Pro has scheduled backups. ✅ Use Your Hosting Provider's Backup: SiteGround (where WPBeginner is hosted) includes manual and automated daily backups on all plans. Bluehost partners with CodeGuard and Jetpack for their built-in options. ✅ Manual Backup With cPanel or FTP: Use cPanel's Backup Wizard for a full backup, or connect via FileZilla FTP to download your wp-content, themes, plugins, and wp-config.php files directly. ✅ Send Backups to Cloud Storage: Duplicator and UpdraftPlus both connect natively to Google Drive, Dropbox, OneDrive, and Amazon S3. Never store backups on the same server as your website. If your host fails, both are gone. ✅ Set Up Automatic Scheduled Backups: Configure hourly, daily, weekly, or monthly backups in Duplicator based on how often you publish. eCommerce stores and busy blogs need daily. Slower-moving sites can get away with weekly. Ready to protect years of hard work with a proper WordPress backup system? Read the full ultimate step-by-step guide 👇 (Link is in the thread below)

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  Robert J Abalos (@robertjabalos) reported 19 minutes ago

  Want Your Startup to Get VC Funded? You Must Meet All Six of These Requirements Venture capitalists at the seed stage bet on potential more than perfection, yet they demand specific proof points before writing a check. After reviewing hundreds of deals and data from PitchBook, Crunchbase, and leading funds, six absolute requirements stand out. Miss any and the odds of funding drop sharply. First, an exceptional founding team. Team quality remains the single highest weighted factor before product market fit solidifies. VCs look for domain expertise, prior execution, complementary skills, and coachability. Research shows roughly one in four two founder teams loses a co founder by year four, so investors scrutinize resilience and equity alignment. Companies with strong teams raise at higher valuations even with lighter metrics because execution can fix product or market gaps. Second, a large and expanding market. Seed investors require a total addressable market of at least one billion dollars, ideally several billion, with a clear path to one hundred million in annual revenue. Serviceable addressable market should support venture scale outcomes. Markets growing above twenty percent annually command premiums. Small markets cap upside and rarely produce the fund returning exits VCs need. Third, early traction proving customers care. For SaaS this often means ten thousand to one hundred thousand in monthly recurring revenue or three hundred thousand plus in annual recurring revenue. Pre revenue startups need strong engagement such as daily active users to monthly active users ratios above twenty percent, organic waitlists, or letters of intent from unaffiliated customers. Dropbox famously used a demo video that drove seventy five thousand sign ups overnight, unlocking its Sequoia seed. Slack showed early retention that later became legendary. Fourth, rapid and consistent growth. Seed VCs seek fifteen to twenty percent or higher month over month revenue or user growth sustained over multiple months. Absolute numbers matter less than trajectory. Startups posting twenty percent plus monthly recurring revenue growth have seen close rates near sixty five percent in analyzed pitch data. Flat or decelerating growth signals risk. Fifth, early unit economics and retention signals. Even at seed, investors examine lifetime value to customer acquisition cost ratios above two to one, ideally three to one, net revenue retention near or above one hundred percent, and cohort retention that flattens rather than collapses. Gross retention above eighty to ninety percent is a positive signal. These metrics prove the product delivers lasting value and that growth will not require endless capital. Sixth, capital efficiency and clear runway. Burn multiple and months of runway matter. Investors prefer teams that can stretch capital to eighteen months or more while showing improving efficiency. Median U.S. seed rounds now sit near three to four million dollars, yet graduation to Series A has tightened to roughly twenty to fifty percent depending on cohort and sector. Lean teams of four to eight people that still deliver results stand out. Data confirms the stakes. Only a minority of seed companies reach Series A, and failure rates near forty percent are common. Yet the power law rewards those that clear these bars. Airbnb, Stripe, and early Slack all combined strong teams, massive markets, and measurable early traction. Founders who quantify these six elements with real numbers, not projections, dramatically improve their chances of securing seed capital.

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  Ryan Babbs (@buckybabbs) reported 23 minutes ago

  Hello @Dropbox, Just this week I have decided to switch cloud service from Google Drive to you and less than 1 week I'm having an issue. I run a wedding film business and am trying to move the same 200GB file to two separate editors for two separate kind of films and one of them is encountering a "link temporarily disabled" message. I tried to research online and made a new folder and copied over the original folders contents and cannot share that either as it says I've exceeded bandwidth limits. This is maddening as I thought I'd picked the good plan (3TB) and was all set. Please advise asap as I need these files in my editors hands stat.

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  Alvin (@Alvin1492840) reported 25 minutes ago

  Kill the startup apps that have been draining your battery since day one. She opened System Settings → General → Login Items & Extensions. 14 apps were set to launch automatically every time he turned on his Mac. Spotify. Zoom. Adobe Creative Cloud. Google Drive. Microsoft Teams. OneDrive. Dropbox. A VPN he used once. A screenshot tool he forgot about. A calendar widget. And 4 more he didn't recognize. Every one of them was running in the background 24/7 consuming RAM, CPU cycles, and battery life whether he was using them or not. She said: "You turn on your Mac and within 30 seconds, 14 apps are fighting for resources before you've even opened your first document. Your fan spins up because your CPU is processing a traffic jam of apps you're not using. Your battery dies by 2pm because half your power is going to background processes you don't see." She removed 11 of the 14. Kept only the ones he actually needed at startup. The Mac booted in half the time. The fan stayed quiet. The battery lasted 3 extra hours. She said: "Check this list right now. If you see apps you don't use daily, remove them. They've been silently eating your Mac alive since the day you installed them."

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  Fraser (@iamfra5er) reported 25 minutes ago

  THIS GUY WANTED A PLACE TO STORE HIS PASSPORT WITHOUT DROPBOX READING IT so he built an encrypted vault app for himself in a weekend and it's now doing $5k/mo zero startup cost. 85% margins. no ads. just SEO written by an AI agent trained on his emails the agent finds trending topics on reddit every single day, writes an article, translates it, posts it google indexes it in days. 500-600 daily visitors. 4% convert to app store downloads. all running on free cloudflare then ASO does the rest — he translated the app into 36 languages and ranks #1 for "duress vault" in the US app store 80 downloads a day. 9% conversion to paid. completely autonomous most founders obsess over their first 10 customers but this guy got banned from every reddit community and said whatever, I'll just let the robot handle distribution he's an ex-google security engineer who raised hundreds of millions for his last startup so he knows what terrible UX looks like in security apps every competitor either has bulletproof security with unusable UI or easy UI with trash security he just combined both and called it done doesn't even spend time on this app. works on 4 projects at once. lets coding agents build while he plans the MVP is identical to the final product because he built exactly what he wanted for himself no pivot. no customer discovery calls. just "I need this, maybe 10 other people do too" now he's testing tiktok and youtube not even for this app but just to learn distribution for the next one

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  David Silva Smith (@DavidSilvaSmith) reported 26 minutes ago

  Got dropbox, ickoud, google drive working last night. Looking at @immichapp for photos…. Home server… hosted server…. Hmmmm

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  Hago Community (@HAGOCommunity) reported 26 minutes ago

  AI Internal Search Agent: An Intelligent Agent for Searching Company Information Many companies struggle with information being scattered across multiple systems and files. Policies may be stored in Google Drive, documents in SharePoint, conversations in Slack or Microsoft Teams, customer data in a CRM, while internal procedures may be stored in Notion or Confluence. When an employee needs specific information, they may have to search in several places, ask a colleague, contact a manager, or open multiple files before finding the correct answer. This is where an AI Internal Search Agent can help. This agent is an AI-powered system that can search across different company data sources, understand an employee’s question, and provide a direct answer based on the internal information available to that employee. How Does the Agent Work? The agent can be connected to the systems and platforms used by the company, such as: Google Drive SharePoint Notion Confluence Slack Microsoft Teams CRM systems Internal databases PDF files Internal documents Company policies Standard operating procedures Employees can then ask questions in natural language instead of manually searching through multiple systems. For example: “What is the company’s travel expense reimbursement policy?” Or: “Where can I find the latest version of this customer’s contract?” Or: “What are the steps for adding a new customer to the system?” Or: “Who is responsible for this account, and what was the latest update?” The agent searches the sources the employee is authorized to access and provides the most relevant answer. The Problem It Solves The main problem is usually not that the company lacks information. The problem is that employees do not always know where that information is located. An employee may spend time: Searching through multiple folders. Opening several documents. Reading old conversations. Asking coworkers where information is stored. Trying to identify the latest version of a document. Searching across different business systems. This creates unnecessary delays and wastes employee time. Instead, the employee can simply ask the AI agent and receive an answer within seconds. A Practical Example Imagine an employee wants to know the process for purchasing new software for their department. In a traditional workflow, the employee may search through emails, ask their manager, and browse company folders until they find the correct policy. With the AI agent, the employee could simply ask: “What is the process for purchasing software that costs more than $5,000?” The agent could search the company’s internal policies and respond: “Purchases above $5,000 require approval from the department manager first. The request must then be submitted to Procurement and approved by the Finance department.” The agent can also provide a link or reference to the original policy document used to generate the answer. Searching Customer Information The agent can also be used to search customer-related data. For example, a sales employee could ask: “What was the latest agreement with customer ABC?” The agent could search the CRM, internal notes, documents, and customer-related conversations before providing a summary. For example: “The latest meeting with the customer was on August 12. The customer is interested in the Enterprise plan and requested a revised proposal before the end of the month.” This allows the employee to understand the current status of the account without manually searching through a long history of notes. Searching HR Policies Employees can also use the agent to get answers about internal HR policies. For example: “How many annual vacation days do employees receive?” “What is the remote work policy?” “How do I request time off?” “What is the process for business travel?” Instead of sending these questions repeatedly to the HR department, employees can receive answers directly from the AI agent based on official company policies. Supporting New Employees One of the most useful applications of an AI Internal Search Agent is employee onboarding. New employees often have many questions, such as: “How do I request a laptop?” “How do I access the internal system?” “Where are the team files located?” “Who approves expenses?” “How do I submit an IT support request?” The AI agent can act as an internal assistant throughout the onboarding process and provide immediate answers to these questions. Respecting Employee Access Permissions One of the most important features of the agent is permission management. Not every employee should have access to every piece of company information. For example, some documents may contain sensitive information related to payroll, contracts, human resources, finance, or executive management. The agent should therefore respect each employee’s existing access permissions. If an employee does not have permission to access a specific document, the AI agent should not use that document when generating an answer. This allows the company to provide intelligent internal search while maintaining appropriate data access controls. Showing the Source of the Answer The agent should not only provide an answer. It should also show the source of the information whenever possible. For example: “According to the company travel policy updated on May 3…” The employee can then open the original document and verify the information. This helps reduce the risk of employees relying on outdated or incorrect information. Detecting Outdated or Conflicting Information The agent can also be designed to identify conflicting information. For example, it may find two different documents containing different instructions about the same company policy. Instead of selecting one version randomly, the agent could alert the employee or administrator: “There are two documents containing different instructions regarding the remote work policy. The most recent document was updated in June.” This can also help companies improve the quality of their internal knowledge management. Moving From Search to Action The system can be developed to do more than simply search and answer questions. For example, an employee may ask: “How do I add a new customer?” The agent can first explain the required steps. The employee can then say: “Start the process.” The agent could create a checklist, create a new record in the CRM, send a request for the required documents, and notify the employee about the remaining steps. At this point, the system moves from being an AI Search Agent to becoming an AI Operations Agent. Example Inside a Sales Team A sales representative could ask: “What are the most important things I should know about this customer before the meeting?” The agent could search the CRM, previous notes, proposals, and communications before creating a summary that includes: Company size. Products the customer is interested in. Date of the latest meeting. Previous objections. Estimated deal value. Recommended next steps. This allows the sales representative to prepare for the meeting without spending significant time searching for information. Example Inside Customer Support A customer support employee could ask: “How was this problem solved in the past?” The agent could search previous support tickets and the company knowledge base to find similar cases and show the solutions that were previously used. This can reduce ticket resolution time and help new support employees solve customer problems more efficiently. Data Sources the Agent Can Connect To The agent can potentially connect to many different systems, including: Google Drive Microsoft SharePoint Slack Microsoft Teams Notion Confluence Salesforce HubSpot Dropbox OneDrive ERP Systems CRM Systems Internal Databases PDF Documents Excel Files Company Policies Employee Handbooks Customer Records The more organized and up-to-date the company’s information is, the more useful and reliable the agent becomes. Benefits for the Company An AI Internal Search Agent can help a company: Reduce the amount of time employees spend searching for information. Reduce repetitive questions between employees. Make policies and procedures easier to access. Help new employees become productive faster. Improve knowledge sharing across departments. Reduce dependence on individual employees who know where everything is stored. Make customer and project information easier to access. Reduce the time required to find the correct documents. Improve the speed of decision-making. How Can the Company Measure the Agent’s Value? The company can measure the value of the system by calculating how much time employees previously spent searching for information. For example, if 200 employees each spend 20 minutes per day searching for files or asking coworkers for information, that represents more than 66 hours of employee time every day across the company. If the agent can significantly reduce that time, the financial value of the system becomes easier to measure. The company can also track: Average time required to find information. Number of questions answered by the agent. Number of manual searches avoided. Reduction in repetitive questions sent to HR and IT. Customer support resolution time. Time required to prepare employees for meetings. What the Final Agent Workflow Could Look Like The employee asks a question ↓ The agent understands the request ↓ It identifies the relevant data sources ↓ It checks the employee’s access permissions ↓ It searches the company’s internal data ↓ It selects the most relevant information ↓ It provides a concise answer ↓ It shows the source of the information ↓ If authorized, it can also perform the requested action In this way, an AI Internal Search Agent becomes a private intelligent search engine for the company, allowing employees to access internal knowledge quickly instead of wasting time searching across files, systems, and conversations.