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.

• Sign in (40%)
• Errors (40%)
• Website Down (20%)

Live Outage Map

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

City	Problem Type	Report Time
Bournemouth	Sign in	2 months ago
Paramaribo	Errors	3 months ago
Bogotá	Website Down	3 months ago
Auxerre	Errors	3 months ago
Salt Lake City	Sign in	3 months ago
Madrid	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:

• 
  ṢƘĪÑlÖVẸ́R̃ṢX🇺🇲🌷 (@skinloversx) reported 2 seconds ago

  Hey Daddy I'm down for FaceTime 💧 Dropbox and all kind of nasty content message me for menu 💦💦 #md

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  Taka (@takanola) reported 19 seconds ago

  why can't @Dropbox stayed sign in anymore?

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  Hugo Bowne-Anderson (@hugobowne) reported 2 minutes ago

  “You still use pull requests? I wouldn’t even do that anymore. Just push it straight to trunk, have your agent summarize it.” That’s @gregce10, co-founder and CPO of SpecStory. He previously worked at GitHub, Dropbox and Google, and was CPO at Pluralsight. And he kept going: - PRs are the limiting gate when agents produce more code than humans can review. - The model should never decide when its own work is finished. Put the deterministic checks somewhere it cannot access. - *** is probably here to stay. Whether GitHub remains the platform, “we’ll see.” @HanchungLee came at the same problem from the evaluation side. Han is Director of Machine Learning at Moody’s and works on SkillsBench, evaluating skills across combinations of models and agent harnesses. - An agent is the model plus its harness. You need to evaluate the complete system. - A green check proves nothing if the agent found a way to game the task. - Your agent could delete the failing test and declare success. Both are figuring out how to turn masses of agent-generated slop into signal. Greg mined 516 saved agent sessions to recover the decisions and intent behind the work, identify recurring practices, and forge the ones he approved into reusable skills. Han runs skills inside controlled environments, grades the result, and preserves the complete trajectory so we can inspect what the agent actually did. Preserve the intent. Inspect the trajectory. Verify the result. Turn what works into skills. Full episode in the replies 👇

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  Fougars (@fougars67) reported 5 minutes ago

  @GaleTRogersJr @vaNlabs Three replies and you still have not answered the actual question: how does Leadpoet revenue accrue to alpha holders? V440 is not a permanent top-32 cartel. There is no hard cutoff and the threshold is dynamic. Dropbox is piloting Leadpoet, not “signed as a customer.” The fact that everyone sold the announcement candle is precisely the point. The business may have value, but the token has not demonstrated durable value capture. Sorry your bags are down bad, but insulting me does not fix the alphanomics.

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  Spencer Baggins (@bigaiguy) reported 5 minutes ago

  SOMEONE 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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  Weird Darkness®️ (@WeirdDarkness) reported 8 minutes ago

  Dear @Google and @YouTube... My account has been hacked, and not only have I lost my Gmail, YouTube, etc., but I've also lost access to my Dropbox that has my full life in it, health records that I used Google to login to, etc. I signed up for Google Account Protection, but it did not protect me. Somehow, even after setting up brand new 2-factor authentication just a few weeks ago, they hacked in, changed EVERYTHING, and now my life, career, and health are at a standstill. I desperately need somebody to contact me. All options I've tried to regain access to my account have failed because everything has been disconnected.

• 
  AI Crave (@wecraveai) reported 10 minutes ago

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

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  HodlReaper (@HodlReaper) reported 10 minutes ago

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

• 
  𝔤𝔞𝔟𝔦 ♡ (@stucklikehoney) reported 16 minutes ago

  if I were to offer a lifetime dropbox, all of my content will go into it. I would add to it as I have new stuff. pictures and videos. pay one time. who would be down?

• 
  RadhikaBGhose (@RadhikaBGhose) reported 16 minutes ago

  @GooglePlay I don't know of the issue is with dropbox or the play store, but i have been charged twice for the same app. Bank statement reflects that. Please help urgently

• 
  ray🥤 (@rayontrack) reported 17 minutes ago

  bookmarked, downloaded, screen recorded, emailed, stored in hard drive, uploaded to cloud, archived, backed up, shared via bluetooth, forwarded, copied to usb, saved offline, synced across devices, added to favourites, printed, password protected, compressed into zip, renamed, organised into folders, duplicated, exported, imported, attached to message, sent to recycle bin, restored from backup, converted to pdf, edited, highlighted, annotated, watermarked, uploaded to google drive, uploaded to dropbox, shared through airdrop, linked to notes, tagged, encrypted, burned to cd/dvd, cached, mirrored to another device, uploaded to server, queued for transfer, dragged into archive, pinned, added to reading list, stored on ssd, embedded in document, linked in spreadsheet, previewed, sent to printer queue, recovered from trash, and indexed for search.

• 
  Harman (@itsharmanjot) reported 17 minutes ago

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

• 
  grace ✭ (@wavescicadas) reported 23 minutes ago

  the irony of dropbox not working when your storage is low

• 
  Alchemist - τ (@SubnetSummerT) reported 23 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.

• 
  Dodz4allai (@DrGhattasMD) reported 25 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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  Loster (@Loster) reported 30 minutes ago

  @Z3R0Gravitas Thinking that if I do trials with people I'd give them exactly that. Something similar to a Dropbox folder for any health docs they want sync'd to the agent's server. I think that would take up how much it could help a notch (need to think a lot about confidentiality).

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  Boots (@2YOOandBoots) reported 32 minutes ago

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

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  ṢƘĪÑlÖVẸ́R̃ṢX🇺🇲🌷 (@skinloversx) reported 37 minutes ago

  Hey Daddy I'm down for FaceTime 💧 Dropbox and all kind of nasty content message me for menu 💦💦🍆 #dmvfreaks

• 
  Waldemar Santos (@wsantos99) reported 43 minutes ago

  @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.

• 
  Isha (@VISportsTalk) reported 44 minutes ago

  Is anyone else having issues with @Dropbox today?

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  bayleigh | HEARD BABYLON 💙 (@eternalwarnings) reported 46 minutes ago

  sorry it's boofed quality my Dropbox account was not working so I had to ss for the time being

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  Theeevilprincess (@Theeevilprince1) reported 46 minutes ago

  My Dropbox I cannot login so everything is being sent on telegram until further notice

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  Girish Kotte (@gkotte1) reported 50 minutes ago

  In 2009, Dropbox ignored every rule about SaaS launches. No ads. No cold outreach. No sales team. One stupid idea: a 3-minute demo video for a product that didn't fully exist yet. It generated 75,000 signups overnight. ----- Insight 1 - Simplicity converts better than features Show people one clear outcome. They sign up before the product is ready. Insight 2 - The best growth doesn't look like growth A demo video isn't a campaign. Which is exactly why it worked. Lesson 3 - Ignore conventional launch advice "The opposite of a good idea can also be a good idea." - Rory Sutherland Every advisor said: build first, market second. Dropbox marketed first. Then built. We now see founders obsessing over perfect MVPs before showing anyone anything. The problem: You ship clean code nobody sees. The solution: You ship a clear story first, then the code catches up. I use Postwyse to build that story in public before the product is ready. Perception opens doors. But shipping closes them.

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  Hugo Bowne-Anderson (@hugobowne) reported 52 minutes ago

  Every day, people working with coding agents generate piles of threads containing decisions, corrections, failed approaches, and repeatable workflows. Then the session closes. The code survives. Most of the knowledge behind it disappears into chat history. @gregce10 is working on that problem. He previously worked at GitHub, Dropbox, and Google, served as CPO at Pluralsight, and is now co-founder and CPO of @specstoryai. This is a video of Greg at work. Sort of. SpecStory saves sessions from Claude Code, Codex, Cursor, Gemini, and other coding agents as Markdown inside the project. Then Lore mines them. Greg demonstrated the full workflow across 516 saved sessions: - Index the sessions locally instead of sending millions of tokens straight to a model - Turn each prompt, response, and next user prompt into an evidence-bearing "beat" - Use the follow-up to detect whether the human accepted, rejected, or corrected the agent's work - Find recurring practices and corroborate them across projects - Present candidate skills as dossiers with citations back to the original sessions - Install nothing without explicit human approval Five hundred and sixteen sessions stop being exhaust and become evidence for how Greg and his team actually build. Lore proposes the reusable practices. Greg decides which ones enter the skill library. Greg showed us all this and more live in our recent episode of *Show Us Your (Agent) Skills*. (video made using seedance 2.0 on @replicate!)

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  Rebecca Allen (@silentnomore314) reported 52 minutes ago

  that they took over ran up charges did god knows what and locked me out. 900 in dropbox charges during a free trial they locked me out of they are all in big big big trouble but your handler is forcing them to lie perjue and the way he is forcing them to blow their covers wow

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  2Do (@2DoApp) reported 55 minutes ago

  @PhilipLeworthy The Android app is going to unfortunately remain on CalDAV + Dropbox sync for now. I'll be updating it to fix a few issues as well as Tablet related compatibility issues but not major features planned. It remains functional the way it is albeit with a few limitations.

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  ؘ (@sylusisms) reported 55 minutes ago

  once this issue with my photo album is fixed im saving every single one and adding on google drive or dropbox

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  Dinnu daniel (@daniel_adinnu) reported 55 minutes ago

  Ariana Grande said “I’ll see you in jail, literally” to whoever was leaking her music. On Monday, she filed the lawsuit that starts making good on it. The suit, filed in Los Angeles County Superior Court, names John Doe defendants she’s suing specifically to identify, accusing them of invasion of privacy, violating California’s Comprehensive Data Access and Fraud Act, and conversion. It describes not a single breach but a pattern stretching back years: in 2019, hackers stole a photographer’s Dropbox login and downloaded unreleased photos. In 2020, a producer’s phone was compromised, surfacing unreleased masters, demos, and recording session footage. In 2023 alone, 45 unreleased songs were stolen and leaked. In 2024, hackers built a fake email domain impersonating a photographer to trick a digital technician into handing over unreleased images. The complaint states that hundreds of similar leaks have occurred since her 2011 debut, with stolen material allegedly resold on the dark web for what it calls significant sums. The 2023 wave is what made the pattern impossible to keep quiet about. One of the leaked tracks, “Fantasize,” a collaboration with longtime producer Max Martin, spread across TikTok well before any release date. Grande addressed it publicly on the Zach Sang Show in early 2024, laughing through her own anger as she called the leakers “thieves, pirates, crooks” and joked she’d pay them more just to make the leak disappear. The lawsuit’s real target isn’t a single hacker. It’s the access itself, the accounts of the photographers, producers, and technicians who work closest to her, treated as the weak point in a system built to protect the artist directly. Grande isn’t suing to recover songs that are already out. She’s suing to find out who keeps getting in.

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  Shego Nationalist (@WhoreRammer40K) reported 55 minutes ago

  Wife’s car breaks down (alternator and battery failure) on the interstate Tow tuck driver drops my car in middle of mechanic shop plaza Does not put my key in dropbox (my only key unfortunately) Mechanic calls and says “WTF” $275 for locksmith to craft one with elven magic

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  Jack (@jackcoder0) reported 57 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.