Dropbox status: access issues and outage reports

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.

Most Reported Problems

The following are the most recent problems reported by Dropbox users through our website.

• Errors (57%)
• Sign in (29%)
• Website Down (14%)

Live Outage Map

The most recent Dropbox outage reports came from the following cities:

City	Problem Type	Report Time
Flumet	Errors	15 hours ago
Irapuato	Errors	3 days ago
Bournemouth	Sign in	2 months ago
Paramaribo	Errors	3 months ago
Bogotá	Website Down	3 months ago
Auxerre	Errors	3 months ago

Full Outage Map

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:

• 
  JMT (@JoakimThomsen) reported 27 seconds ago

  @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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  True Blue Democrat & Patriot🇺🇦🇵🇸💔 (@TrueBluPatriot) reported 1 minute ago

  And 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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  Jack (@jackcoder0) reported 3 minutes ago

  1. Kill the Login Items the apps launching before you even sit down. Every time you log in, your Mac quietly launches 10-25 apps in the background. Spotify. Slack. Zoom. Google Drive. Dropbox. Creative Cloud. OneDrive. Each one consumes CPU and memory before you've opened a single window. System Settings → General → Login Items & Extensions. Review the list. Remove everything you don't need the instant you log in. You can always open them manually when you actually need them. His Mac had 19 login items. He needed 3. He removed 16. Boot time dropped from 2 minutes to 18 seconds. The first few minutes of every session — that sluggish, unresponsive window where nothing works gone.

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  prodbysvrge (@prodbysvrge) reported 6 minutes ago

  I wish I knew this starting out Stay ready Every day, make a small list of relationships to nurture Keep Dropbox iCloud open at all Times | Load Directly after cooking up After making beats, write down the labs you need to send Make a list of discord servers to send in

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  Ryan James Girdusky (@RyanGirdusky) reported 7 minutes ago

  @EggerDC The Dropbox was taken down but I’m sure someone downloaded the whole thing.

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  Duaa 🤲🇮🇳 (@Duaa_1206) reported 8 minutes ago

  @himasoraakane Doing digital forensics on Dropbox error screens to investigate a suspended account is a whole new level of investigative work.

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  Some guy (@ibesomeguy) reported 10 minutes ago

  @Voxyz_ai Doesn't sound like a Codex problem, sounds like a Dropbox problem. Syncthing doesn't take your files offline, ever.

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  Boi_Eddi (@3dd1pr1nc3) reported 10 minutes ago

  Your 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?

• 
  Rish Agarwal (@rish404) reported 11 minutes ago

  Imagine you have a team covering an event. Boots on the ground. What's the best way to get footage from all of them in a single library Dropbox? Google Drive? Physical hard drives? All of them either don't support it, requires an account for every person or just physically slow and limited Here's how @cutsio is solving that

• 
  Teri Radichel #cybersecurity #ai #pentesting (@TeriRadichel) reported 16 minutes ago

  @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.

• 
  dragon1952 (@gmanshk) reported 16 minutes ago

  From GROK Yes. Max Miller’s attorney released a public Dropbox folder containing an undressed photo of his 2-year-old daughter. It came from a February 2025 text exchange documenting a bruise (later a broken collarbone) noticed during bathing. The image was available for about a day before removal. Miller’s lawyer called it an accidental inclusion of a shirtless photo with no ******** visible. The other side’s lawyers described it as potentially showing ******** and possible CSAM. Miller has acknowledged the photo existed in the materials.

• 
  Denver Rayburn (@DenverRayburn) reported 20 minutes ago

  Where do the find he people the write these articles?? This will go down like the rsync vs Dropbox comment on hacker news.

• 
  VC Intern (@the_vc_intern) reported 20 minutes ago

  Almost 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.

• 
  Alchemist - τ (@SubnetSummerT) reported 20 minutes ago

  @Dropbox piloting @LeadpoetAI is worth slowing down on. Dropbox spends around $370m a year on sales and marketing. That's the budget Leadpoet is now piloting inside. For context, SN71's entire market cap is about $4m. The annual sales budget of one pilot customer is roughly 85x the value of the whole subnet. Leadpoet doesn't need to win the budget. Capturing even a fraction of a percent of enterprise sales spend at companies like this is meaningful revenue. And revenue is where the flywheel starts. Usage burns alpha. Burn supports the token. Stronger emissions attract better miners. Better miners produce better leads. Better leads win more budget. Repeat. @webuildscore (SN44) showed what happens when a subnet ties real commercial usage to its token. Leadpoet is running the same playbook against enterprise sales budgets, which are measured in hundreds of millions per company.

• 
  komm64 (@komm64) reported 24 minutes ago

  @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!

• 
  Fraser (@iamfra5er) reported 26 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

• 
  Jack (@jackcoder0) reported 29 minutes ago

  1. Kill the Login Items the apps launching before you even sit down. Every time you log in, your Mac quietly launches 10-25 apps in the background. Spotify. Slack. Zoom. Google Drive. Dropbox. Creative Cloud. OneDrive. Each one consumes CPU and memory before you've opened a single window. System Settings → General → Login Items & Extensions. Review the list. Remove everything you don't need the instant you log in. You can always open them manually when you actually need them. His Mac had 19 login items. He needed 3. He removed 16. Boot time dropped from 2 minutes to 18 seconds. The first few minutes of every session — that sluggish, unresponsive window where nothing works gone.

• 
  Dodz4allai (@DrGhattasMD) reported 30 minutes ago

  nstead 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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  Abhishek Singh (@0xlelouch_) reported 32 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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  Ed Giansante (@edugiansante) reported 35 minutes ago

  every founder i talk to is hiring a head of community wrong. i've been that hire four times. Zynga, Wix, Dropbox, Persona. 15 years, three continents. every time the JD was wrong, the expectations were wrong, and the first 90 days were a mess until i rewrote them myself. the JD problem. most community job descriptions read like a social media manager with extra steps. "manage our Discord, post engagement content, track NPS." that tells me the founder thinks community is content moderation with a better title. a real head of community JD should say: build the infrastructure where customers trust each other enough to solve problems together, and connect that trust back to pipeline and retention. if the JD doesn't mention revenue or product feedback loops, you're hiring the wrong role. the first 90 days. at Dropbox i walked into 400M+ users and zero community infrastructure. no forums, no events, power users had no way to talk to the product team. days 1 to 30: listen. real conversations with 50 customers. find the 10 who love your product enough to evangelize it for free. those are your founding members. wrong. within 2 weeks we had an outage and I had to source folks who were talking about Dropbox in different spaces - dev forums, stackoverflow, spiceworks, hackernews and so on. I was honest enough to share what was going on, my role and where i needed their help. days 31 to 60: build the first room. not a Slack with 14 channels nobody uses. one focused format. at Persona it was a 15 person dinner for compliance leaders. at Wix it was a partner council of 80K agencies. start small, make it valuable enough that people tell their peers. days 61 to 90: prove the loop. connect a community interaction to a business outcome. a feature request that shipped. a deal that closed because a customer introduced a prospect. a churn save from a power user helping a frustrated customer. if your community hire can't show that loop by day 90, something is off. forget member count or engagement. track these: repeat attendance. show up rates. at my dinners, 90% of RSVPs show up. 99% return. pipeline influence. what happens post dinner that can be attributed to $$$? product feedback velocity. how fast does a community insight reach the product team and ship? NPS delta. at Wix, partner community members renewed at 2-3x the rate of non members. the biggest mistake is org charting community as a sub-group within a random team. community sits between product, marketing, sales, and customer success. it touches biz relationships, partnerships, revenue, retention, and product roadmap. treat it that way. hire someone who's built it before and give them a seat at the leadership table.

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  𝗦𝗵𝘆𝗻𝗲 (@YuhItsShyne) reported 38 minutes ago

  @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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  AaronAlamary | Parking (@aaron0505) reported 39 minutes ago

  I saved my grandfather's voicemails for years. Birthday wishes. Questions about his computer. Who to call to fix his A/C. Upgraded my iPhone and they were gone. Devastated. Found them today sitting in my Dropbox. SO glad I get to hear him again!

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  Ihtesham Ali (@ihtesham2005) reported 40 minutes ago

  A guy built a free version of Dropbox in 2010. His name is Frank Karlitschek. The project is called ownCloud. He wasn't trying to build a company. He was trying to fix one thing: your files should live on hardware you control, not on a corporation's server. Here's what it actually does. You install it on your own machine, a spare laptop, a cheap VPS, whatever you've got lying around. It gives you file sync, photo backup, calendar, and contacts inside one dashboard. Same core idea as Dropbox, owned by you instead. CERN runs on it. The European Science Cloud runs on it. Entire universities host their file systems on it instead of paying Google or Microsoft by the seat. In 2016, Karlitschek walked away from the project he built and started Nextcloud, chasing the same idea with a new team. ownCloud kept going without him. It's still free, still self hosted, and still running inside labs and universities that never wanted their data anywhere near a company's servers.

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  Grant B. (@GrantB423) reported 43 minutes ago

  yo 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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  Jan Senderek (@jans) reported 44 minutes ago

  I 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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  MarkyX 🌹 MafiaBlitz.com (@Marky_X_) reported 49 minutes ago

  For the curious, quite a few publishers won't send anything to Canada because our shipping is insanely expensive. It's been such a problem for the past two years that I got a US dropbox, which isn't exactly a free service.

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  mhamn (@hamn_matt55472) reported 50 minutes ago

  @BANANTICHRIST @DesireeAmerica4 I've been bitten at least a hundred times, twice severely, and never reported it because I didn't want to see the dogs put down because their owners are irresponsible. Probably a lot of people like me. Secure your dogs or get a dropbox if you have a delivery, people.

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  Dr Prosper The Philosopher (@ProsperThePhilo) reported 52 minutes ago

  Stop Storing Your Medical School Files on Your Phone: If you're a medical student having problems with where to store your lecture slides because your phone storage keeps getting full... If you're always struggling to find files on your phone... If you've ever changed your phone and lost access to your lecture slides... Then I want to let you know that this isn't really a phone problem. It's simply because you're using the wrong storage system. As a medical student, you're not supposed to be storing your important academic files permanently on your phone. Yes. Have you heard of something called cloud storage? Cloud storage simply means storing your important files on secure servers online instead of inside your phone. Think about it. Your phone has limited storage. Depending on the model you're using, it may have 64 GB, 128 GB or 256 GB of storage. But over several years of medical school, you'll accumulate thousands of lecture slides, hundreds of PDFs, anatomy atlases, textbooks, videos, practical manuals, charts, flashcards and past questions. Eventually, your phone becomes crowded. The smarter approach is to let your phone become a temporary device—not your permanent library. For example... Google gives every Google account 15 GB of free cloud storage (shared across Google Drive, Gmail and Google Photos). If you're using an Android phone, chances are you already have a Google account. That means you already have free cloud storage waiting for you. If you have a Microsoft account, OneDrive gives you 5 GB of free cloud storage. If you use an iPhone, iCloud gives you 5 GB of free storage. There are also services like Dropbox and MEGA that offer free cloud storage as well. These services exist for a reason. Use them. If you have textbooks, don't store them permanently in your phone's internal storage. Instead... Open Google Drive. Create one proper Google account dedicated to medical school. Inside that account, create folders. For example: - Anatomy - Physiology - Biochemistry - Histology - Embryology - Pharmacology - Pathology - Microbiology - Surgery - Medicine Now open your Anatomy folder. Inside it, create another folder called Gross Anatomy. Inside Gross Anatomy, create folders like: - Lecture Slides - Textbooks - Past Questions - Clinical Correlations - Charts - Practical Manuals Now begin uploading. Upload. Upload. Upload. Stick to one Google Drive account throughout your entire medical school. You'll be surprised. Five or six years later, you'll look back and realize you've built an entire medical library. Everything you've ever studied... Every lecture slide... Every textbook... Every practical manual... Every chart... Every past question... Waiting for you in one organized place. Another thing. Learn to use Google Photos. All those anatomy diagrams... Charts... Clinical pictures... Embryology illustrations... Practical photographs... Store them inside Google Photos instead of leaving them on your phone. As long as you know your email and password, you can access them from anywhere in the world. Your phone. Another phone. A tablet. A laptop. Even a computer in a cyber café. If your phone gets stolen today... Nothing important is lost. Because your library isn't inside your phone. It's online. There are paid cloud services that provide even larger storage capacities, but honestly, the free options are enough for most students starting out. Now here's a habit I think every student should build. Whenever you download something important... Don't leave it sitting on your phone. Instead: Download it. Upload it to your cloud storage. Delete it from your phone. Download. Upload. Delete. Repeat. Your phone remains light. Your files remain safe. Your library keeps growing.

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  AiMind (@AIMind_Ai) reported 54 minutes ago

  A $50 box saves $240 a year on subscriptions and earns $18,000 a year setting it up for clients. No new hardware. Nothing bought at retail. A used office tower. A second-hand drive. One stick of RAM pulled from a dead laptop. The whole build came to 50 dollars. It looks like nothing. Fans humming, one cable to the wall, sitting on a desk next to a coffee cup. The first win is the one nobody talks about. Cloud storage, photo backups, the $20 a month AI plan everyone pays and forgets — all of it moves onto one box you paid for once. 240 dollars a year, gone. The second win is where the money is. Once it runs on your desk, it runs on anyone's. And clients don't pay for parts. They pay to stop bleeding subscriptions. Here's what you actually sell: A private AI trained on their own files, so staff stop pasting company data into a browser. That's $1,500 a setup. A self-hosted file server that kills their Dropbox and Google Workspace bill. $600, plus the relief of never renting storage again. A local automation box that runs invoices, replies, and reports overnight. $900, and it never sends a dollar to a cloud. Then the quiet one: $150 a month to keep it patched and alive. 10 clients on retainer is $1,500 every month before you build a single new one. One setup a week at $1,500 is $18,000 a year. Off hardware other people throw in the bin. I had no degree, no server room, no $2,000 build. Just dead parts and one free weekend. The expensive part of AI was never the compute. It was the monthly bill you agreed to and stopped reading. 50 dollars in. $18,000 out. Same box.

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  Ilya Sandoval (@ilya_sandoval) reported 58 minutes ago

  @Dropbox having AGAIN problems with the payment between Apple and Dropbox and AGAIN NOONE FROM you guys help me