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.
At the moment, we haven't detected any problems at Dropbox. Are you experiencing issues or an outage? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by Dropbox users through our website.
- Errors (50%)
- Sign in (33%)
- Website Down (17%)
Live Outage Map
The most recent Dropbox outage reports came from the following cities:
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Errors | 1 day ago |
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Sign in | 2 months ago |
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Errors | 3 months ago |
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Website Down | 3 months ago |
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Errors | 3 months ago |
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Sign in | 3 months ago |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Dropbox Issues Reports
Latest outage, problems and issue reports in social media:
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True Blue Democrat & Patriot🇺🇦🇵🇸💔 (@TrueBluPatriot) reportedAnd Took a picture of his little girl's ********. Then a staffer posted it on DropBox in error. That is the worst part.
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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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I Have No Pearls And I Must Clutch (@JamesKi26687305) reported@realJoelFischer @POTUS @WhiteHouse Don't forget he could have had Hillary's server and decided she could keep them. And Anthony ******'s laptop. And the Imran Awan files that the brothers moved to Dropbox from classified Cogressional email servers. He had access to EVERYTHING, and chose to weaponize the FBI.
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komm64 (@komm64) reported@Celeriumcore I see, thanks. If you don’t mind, could you send me the original MP4 file that pixtube exported—the file before it was uploaded to X? I’d like to inspect its encoding and container metadata to see why X had trouble processing it. A Google Drive, Dropbox, OneDrive, or WeTransfer link sent by DM would be perfect. Please send the original file without re-encoding it. No worries if that’s inconvenient!
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Justin Reinhart 📯📯 (@justinreinhart) reported@DropboxSupport Turns out it wasn't normal. Forcing a Rebuild inside of Windows Indexing Options was the fix. Windows Issue. Resolved for now.
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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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Aaron Li (@polymorpher) reportedwe probably reached the point where AI is efficient enough to fix most annoying little bugs / missing features in the software we use every day i started reading lots of papers on the move again, and needed to sync folders of PDFs to my remarkable 2 - perhaps the best e-ink tablet for reading, yet nothing about its sync software works: web UI uploads one file at a time, cloud "integration" asks for full access to your Dropbox etc., desktop app SSO login is broken so i made a quick sync app that does the job in one click from the macOS right-click menu - in the same amount of time that 5 years ago would get me halfway through an email to customer support repo in reply
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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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Teri Radichel #cybersecurity #ai #pentesting (@TeriRadichel) reported@DavidLinthicum Large companies with specialized staff may be able to do their own hosting. Having done it myself in my own home back in 1999 when yes, people did that, and later in a colocation center. As a security expert, can tell you this is not an ideal choice for most companies. Can’t even begin to explain in this space. There are also performance and scalability issues, management of all the hardware and software, rebooting the servers in the middle of the night when something goes wrong, dealing with outdated hardware and so liability that can be shifted in cloud environments. Capex vs. opex. Yeah not going back there. Even DropBox (article from 2017) still uses AWS to some degree. And for those who want to try to run open stack themselves in this day and age of AI, phew. Capital One tried that. They moved to AWS when a SAN or similar failed and they needed to get up and running fast. The internal cloud was very painful. Not going to defend the breach. Security is hard. As always, throwing off the shackles for some new tech (cloud, AI) is likely not going to work out too well. The only bonus for a company that wants to do this is that there are more tech people out of work. But data center people? Good luck managing all that. Make sure no one has hidden a crypto miner under the data center floor. Yes, that happened.
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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.
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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.
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Mark van Eijk (@markvaneijk) reported@freekmurze It's the most stable beta in last 15 years. These apps I also use still work: Dropbox, PHP, Conductor. I did not encounter any issues, besides sometimes a lag here and there (regular beta stuff).
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ESCHA (๑ˊ͈ ^ˋ͈) (@eschadiol) reported@joshpuckett i worked on an app called roll back then, dropbox, path, and facebook made offers, then fb made memories, path closed down, and carousel was deprecated, would have been so sick to cross paths at that time
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Urooj (@Urooj978) reportedThat old laptop gathering dust in your closet can replace every cloud subscription you pay for. • Netflix • Google Photos • Dropbox • 1Password That’s over $500 a year to rent things you used to own. Enter CasaOS—a free, open-source system that turns any old laptop or mini PC into your own personal server. No Linux skills. No code. No weekend-long tutorials. You run one command. In 30 minutes, you get an iOS-like dashboard where you can install self-hosted apps in one click: 1/ Jellyfin → Replaces Netflix 2/ Immich → Replaces Google Photos (with facial recognition) 3/ Nextcloud → Replaces Dropbox 4/ Vaultwarden → Replaces 1Password 5/ AdGuard Home → Blocks ads on your entire Wi-Fi network Setting up a home server used to be a nightmare. CasaOS makes it feel like installing apps on an iPad. The laptop you forgot about is more powerful than the servers that ran most websites in 2008. It costs $0, it’s already in your house, and it puts $500/year back in your pocket. Your closet is your new data center.
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Spencer Baggins (@bigaiguy) reportedSOMEONE BUILT A GITHUB REPO THAT TURNS TELEGRAM INTO UNLIMITED CLOUD STORAGE. 100% free. It is called UnlimCloud. Self-hosted-ish desktop app. Open source. Uses Telegram as the storage layer. You log in with your Telegram ID. Upload files. Download files. Organize folders. Manage pictures and videos in a gallery. That is it. No Google Drive upgrade screen. No Dropbox “you are out of space.” No iCloud begging for $2.99/month. No random startup holding your files hostage. Your Telegram. Your files. Your storage. Here is the full feature set: ↳ Uses Telegram as the backend storage layer ↳ Secure login with your Telegram account ↳ Upload, download, and organize files ↳ Folder-based file management ↳ Gallery for photos and videos ↳ Clean desktop app interface ↳ Built with Tauri ↳ Windows release available ↳ macOS and Linux coming soon ↳ MIT licensed ↳ Open source 885 GitHub stars. 125 forks already. Here is why this matters: For years, cloud storage companies trained everyone to rent space for their own files forever. Photos? Pay. Backups? Pay. Large folders? Pay. Team storage? Pay more. UnlimCloud is the opposite idea. Take an app people already use every day. Telegram. And turn it into a private cloud drive with a clean file manager on top. No storage subscription. No SaaS dashboard. No “pro” plan. Just a weird, useful, open-source hack that feels like it should not work this well. Built in HTML + Rust. MIT License. 100% Open Source.
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Arthur "lynch mob" van Pelt 🔥 ∞/21M ⚡ (@Arthur_van_Pelt) reported@laz1m0v @adam3us You want a multifunctional database. Go try BSV or Microsoft SQL Server or Arweave. They have what you want. Bitcoin is money. Not a Pepe Dropbox. Go take your Pepes elsewhere, please. Then we wouldn't even need filters if everyone behaved in the spirit of Cash instead of Pepe.
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Isha (@VISportsTalk) reportedIs anyone else having issues with @Dropbox today?
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bayleigh | HEARD BABYLON 💙 (@eternalwarnings) reportedsorry it's boofed quality my Dropbox account was not working so I had to ss for the time being
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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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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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Marcus (@marcuslayerx) reportedway too many teams in crypto still think they're buying user acquisition when they’re really just paying the same audience to look at another project for a week i’ve spent the last few days looking at products that could actually break out of the crypto bubble and the people they need aren’t sitting on ct waiting to find them - morse is built around freelancers getting paid across borders - blackbird gets people while they’re literally sitting in the restaurant - DIMO’s real path runs through dealerships, insurers and people building with car data - Hivemapper only becomes a real business when companies pay for fresh map data, not because more drivers collect it square put the card reader in the merchant’s hand, dropbox gave people more storage for bringing someone else in, opentable became part of how restaurants took bookings, etc they showed up while the person was already trying to do the thing a lot of teams still open a spreadsheet of kols/agencies to pay before they’ve even worked out where the user is when the problem even happens
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Jeremy Goldberg (@jeremy_goldberg) reported@omooretweets @midjourney and AI agent adoption isn't a unique short term issue to 'solve' - the UX of products for consumers has always been *everything*. solve that in just one niche and you can build a whole company off that - dropbox, roku, tinder…
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AI Crave (@wecraveai) reportedOpen 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.
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Grant B. (@GrantB423) reportedyo Sam, anyway you could dm the Dropbox link for your “ghosts’n’stuff” remix? it was taken down off every single platform @Jauzofficial
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Dodz4allai (@DrGhattasMD) reportednstead of waiting for an API integration with Epic (which is costly and slow), OmniMed Pro deploys as a Chrome/Edge Browser Extension.3 Mechanism: Most hospital EHRs (Epic Hyperdrive, Cerner Millennium, AthenaHealth) are now accessed via web browsers (Citrix/VDI or native web interfaces). The OmniMed extension "sits on top" of the EHR window as a persistent sidebar. Data Ingestion (The "Read"): The extension uses the DOM (Document Object Model) to "read" the patient notes, labs, and vitals currently displayed on the doctor's screen. It does not need a backend integration; it reads what the doctor sees, acting as a "visual reader" similar to a human assistant. Intelligence Injection (The "Write"): The extension injects its "Co-Pilot" interface into the side of the screen. It offers "One-Click Transfer" buttons to paste generated notes, codes, or orders directly into the EHR's text fields.3 Value Proposition: This "Zero-Integration" approach allows individual doctors or departments to adopt OmniMed Pro today, bypassing the multi-year IT integration queue. This creates a Bottom-Up Adoption loop similar to how Slack or Dropbox entered the enterprise—employees brought it in because it solved their immediate problems. 5.2 Viral Loops & Community Growth To fuel this bottom-up growth, OmniMed Pro leverages the Medical Creator Economy 16: MedTwitter & Reddit: Solo founders and small teams are winning by "building in public." OmniMed Pro should release "light" versions of its tools (e.g., a "Scientific Paper Summarizer" or "Anki Card Generator" for med students) to gain viral traction. These free tools serve as a "Trojan Horse" for the OmniMed brand.18 The "Secret Cyborg" Phenomenon: Many doctors already use GPT-4 on their phones ("Shadow AI") to help with drafting notes or looking up conditions. OmniMed Pro legitimizes this behavior by offering a HIPAA-compliant, secure wrapper. By solving the "compliance headache" for the individual doctor, it wins the user first, then the enterprise.20 Anki Integration: For the student/resident market, integrating with Anki (spaced repetition flashcards) creates a lock-in effect early in a clinician's career. Tools that automatically generate Anki cards from clinical guidelines or textbooks are highly viral among medical trainees. Capture the medical student today, and you have the Attending Physician of tomorrow.19 5.3 Risks and Mitigation: The "Shadow" Dilemma This strategy carries significant risk. "Shadow AI" creates governance gaps and potential security liabilities.4 To mitigate this and eventually convert to enterprise contracts, OmniMed Pro employs a specific conversion strategy: Enterprise-Grade Security by Default: Even the individual version must be HIPAA-compliant (BAA signed on sign-up). Data processing should happen locally or in compliant cloud enclaves. The "IT Trojan Horse": Once adoption reaches a critical mass (e.g., 30% of doctors in a hospital), OmniMed Pro approaches the CIO with usage data. "Your doctors are already using this tool 5,000 times a week. Let's sign an enterprise deal to give you visibility, control, and single sign-on (SSO)." This flips the sales conversation from "Please try our product" to "Please secure and manage your existing usage".4 This is the exact playbook used by companies like Yammer and Slack to penetrate the enterprise. 6. User Experience: Visualizing Uncertainty and Generative UI The final barrier to adoption is Trust. Clinicians do not trust "Black Box" AI that spits out confident answers without rationale. OmniMed Pro employs a "Glass Box" UX philosophy that prioritizes transparency and interactivity. 6.1 Explainability via Visualization Sankey Diagrams for Reasoning: To visualize the "Chain of Thought," the UI uses Sankey diagrams that show how data flowed from "Lab Result" -> "Intermediate Reasoning" -> "Final Diagnosis".12 This allows the clinician to trace the logic visually. Interactive Debate Logs: The UI allows the doctor to "replay" the debate between the AI agents. "See why the AI ruled out Lupus." This turns the AI into a teaching tool rather than just an oracle, fostering trust and verifying the reasoning process. 6.2 Agentic Generative UI Instead of static dashboards or simple chat bubbles, the OS uses Generative UI.22 The interface adapts to the context of the conversation. Dynamic Charts: If a doctor asks about "Cardiology Trends," the system doesn't just write text; it generates a live, interactive chart of the patient's troponin levels over time. Actionable Forms: If the doctor asks for a "Referral," it generates the referral form, pre-filled with patient data, ready for signature. Contextual Cards: The UI presents "cards" for different data types (medications, allergies, labs) that can be manipulated, reordered, or expanded, creating a fluid workspace that replaces the rigid, click-heavy menus of the EHR.23 7. Regulatory & Ethical Moats: Defending the OS To operate at this scale and depth, OmniMed Pro must build defensible moats around regulation and safety. 7.1 MedHELM Evaluation Framework To prove superiority and safety, OmniMed Pro adopts the MedHELM (Holistic Evaluation of Large Language Models for Medical Applications) framework.1 Unlike static benchmarks (USMLE), MedHELM evaluates models on: Clinical Utility: Is the answer helpful and actionable? Safety/Harm: Did it suggest a fatal dosage or miss a critical red flag? Bias: Does it perform equally well for all demographics? Alignment: Does it follow the specific hospital's protocols? By continuously running MedHELM evaluations on its hybrid outputs, OmniMed Pro provides a "Quality Seal" that single-model providers cannot match without deep integration into the hospital's data. 7.2 Liability Frameworks In a multi-model world, liability is complex. OmniMed Pro positions itself as a Clinical Decision Support (CDS) tool, not a diagnostic device. The "Human-in-the-Loop" is mandatory. By visualizing the debate and uncertainty, the OS places the final decision firmly in the hands of the clinician, mitigating liability risks associated with "autonomous" diagnosis. 8. Conclusion: The Strategic Imperative The OmniMed Pro 'Medical AI Operating System' represents the inevitable evolution of healthcare artificial intelligence. By moving beyond the "Model-as-Product" mindset and embracing an Architecture of Aggregation, it solves the fundamental trilemma of medical AI: Accuracy, Cost, and Trust. Leverage the Router to commoditize the giants (OpenAI, Anthropic) and extract the best capabilities of each.1 Deploy the Consensus Engine (MCC) to achieve "Super-Human" reliability through adversarial debate.2 Unleash the Swarms to automate the physical and administrative burdens of healthcare.7 Infiltrate via Shadow AI to bypass bureaucratic inertia and win the hearts and minds of clinicians directly.3 In doing so, OmniMed Pro does not just "outperform" OpenAI; it contains them, turning their powerful models into mere components of a higher-order medical intelligence. This is the path to disrupting the global medical industry. Technical Appendix: Implementation Roadmap A.1 Deploying the MCC Debate Engine To implement the Model Confrontation and Collaboration (MCC) engine 2: Select Models: Integrate API endpoints for GPT-o1 (Moderator), Claude 3.7 (Reasoning), and DeepSeek-R1 (Critic). Define Prompts: Moderator: "Compare the following diagnoses. If semantically identical, output FINAL. If divergent, initiate DEBATE_ROUND_1." Critic: "Review the diagnosis provided by Model A. Identify any inconsistencies with the provided lab values. Cite clinical guidelines." Set Thresholds: If consensus > 0.8 similarity score, output. Else, iterate max 3 rounds. Fallback: If no consensus, route to "Human-in-the-Loop" queue. A.2 Building the "Sidecar" Extension To build the "Shadow AI" browser extension 3: Manifest V3: Develop using Chrome Manifest V3 for security compliance. DOM Observer: Use a MutationObserver to detect when the EHR (e.g., Epic Hyperdrive web) loads a patient note field. Context Extraction: Scrape relevant DOM elements (vitals, meds) locally in the browser (client-side) to minimize data egress risks. Injection: Inject a floating "FAB" (Floating Action Button) or sidebar IFrame that contains the OmniMed chat interface. Clipboard Actions: Use the Clipboard API to paste generated text back into the EHR's focused input field. A.3 Setting up the Swarm Architecture To orchestrate the Swarm 13: Orchestrator: Use a Python-based orchestrator (like Swarms API or LangGraph). State Management: Maintain a shared "Case State" object (JSON) that all agents can read/write to. Handoffs: Define explicit state transitions. if (labs_missing) -> route_to(Intake_Agent). if (diagnosis_ready) -> route_to(Synthesizer). Standardization: Ensure all agents output in structured JSON (FHIR format) to maintain data integrity across the swarm. Works cited
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Dan Holzrichter (@dholzric) reported@JoshuaKhane This is why i have primary copy on my home system, backup on local server (raid array of old hd's), and copies on google drive and dropbox for anything important.
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Mark Hadfield (@Mhadfield) reported@butshaunn A lot of VCs get very excited about one thing, like a groundbreaking new company that has massive traction. They spend the next six months looking for the next best thing, which in their mind looks a lot like the last thing that went crazy. This is how you get silly comments like "can you replicate an exchange server into Dropbox?" Dropbox was the last thing that went crazy. And so now everything needs to get replicated into it.
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Startup Archive (@StartupArchive_) reportedDropbox founder Drew Houston on why distribution is more important than product LinkedIn founder Reid Hoffman wrote in his book Blitzscaling: "Many people in Silicon Valley like to focus on building products that are, in the famous words of the late Steve Jobs, "insanely great." Great products are certainly a positive, but the cold and unromantic fact is that a good product with great distribution will almost always beat a great product with poor distribution." Dropbox is a great example of this. As Dropbox founder & CEO Drew Houston explains, great distribution is ultimately how they beat out dozens of competitors with similar product offerings. Drew believes that too many startups overlook the importance of great distribution. Dropbox had a great product, but it succeeded because of its great distribution. They used a combination of organic virality (users shared files with nonusers) and incentivized virality (Basic account holders get 500 MB of extra storage per user they refer; Pro account holders get 1 GB) to grow. Virality helped Dropbox double its 100,000 users at launch to 200,000 users just ten days later, then skyrocket to one million users just seven months after that. An important caveat though: if your distribution strategy focuses on virality, you have to make sure you solve retention first. Bringing new users in through the front door doesn't help you grow if they immediately turn around and leave. According to Drew, Dropbox discovered this truth the hard way, when activation rates revealed that only 40% of the people signing up were actually putting files in their Dropbox and linking them to their computers. As Drew partially explains in the clip, the early Dropbox team went on Craigslist and offered $40 to anyone who'd come in for a 30-minute usability test. They asked these people to go from a Dropbox e-mail invitation to sharing a file with another email address. Zero of the five people tested succeeded--they didn't even come close. This stunned the team. So they made a list of 80+ things in an Excel spreadsheet and sanded down all of the rough edges in the experience. They soon watched their activation rate climb and left the competition in the dust as they marched on to a $9+ billion market cap. Source: @ycombinator (Feb 2017)
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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!
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𝙳𝚛𝚊𝚌𝚞𝚕𝚊 𝙱𝚛𝚊𝚗𝚍 𝚃𝚊𝚖𝚙𝚘𝚗𝚜 𝙻𝙻𝙲. (@mynameisFACE) reportedYou ever login to your old Dropbox and see pics/vids you don’t even remember? Boyyyy, some mistakes were made 😩