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 (67%)
• Sign in (17%)
• Website Down (17%)

Live Outage Map

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

City	Problem Type	Report Time
Flumet	Errors	5 days ago
Irapuato	Errors	7 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:

• 
  Evan Logan (@evanlogan) reported 5 minutes ago

  @Shwinnabego Same. I use chat for common tasks, merging data, generating images, planning projects. But I only this week figured out how to connect to Dropbox, pull audio files, edit them, and upload to a server. And once I did I was hit with a credit limit. Can’t afford it on a daily basis.

• 
  Bhavyam Arora (@AroraBhavyam) reported 6 minutes ago

  99% startups who applied to yc today will get rejected. here's what the smart ones do next: a no from yc isn't the end. they literally encourages you to reapply and tracks your progress across applications. the founders who get in later treat rejection as round one, not game over. the playbook: "don't wait for feedback" yc doesn't tell you why you got cut at the application stage. so stop self-doubting firstly. the reasons founders get rejected are almost always the same: - no visible progress between "idea" and "application" - not the perfect answer why you're the right team for the problem - vague answers that read as ai slop or unclear thinking reapply. it actually works. - dropbox: drew houston applied solo, got rejected, was told to find a cofounder. he did, reapplied, got in. - reddit: rejected for a completely different first idea. yc liked the founders and told them to come back. they did. the pattern never changes: build, show progress, come back stronger! you can apply again right now yc's decision lets you apply for the next batch. no need to wait months to get another chance. don't put your life on hold other strong programs are still open while you regroup. check the attached tweet below for whole list where you can apply as well. apply in parallel, not "later." the real unlock is traction a reapplication that says "we listened, we built, here are the numbers" beats a first application every time. the 6 months after a no matter more than the no itself. rejection quietly filters out the founders who were never that serious. don't be one. 💀 follow @arorabhavyam for weekly content around founders, startups and AI! 🫡

• 
  Vladic (@Vladic_ETH) reported 6 minutes ago

  OPENAI SHIPPED GPT-5.6 AND CHATGPT WORK. THE REAL WEAPON IS PRICE, NOT IQ. OpenAI shipped two things today. One of them is a costume change. GPT-5.6 landed as three models. ChatGPT Work is a new agent on top. The feeds say "new agent does your work." The real launch is the price sheet. Sol, the flagship, costs $5 per million input tokens and $30 output. That's not flagship pricing. That's what you paid for a mid-tier model a year ago. The gate half the feeds skipped Context first. Two weeks ago the US government cut GPT-5.6 access down to a small group of vetted partners over national security. The gate held about 12 days. Restrictions lifted July 8, public release July 9. Same day SpaceXAI shipped Grok 4.5. The frontier now ships when the government clears it, not when the model is ready. Anthropic went through the exact same thing with Fable and Mythos in June. A pattern, not a one-off. Three models, price as the weapon GPT-5.6 is three models, not one. Sol is the flagship. Terra is the everyday workhorse. Luna is cheap and fast. Price per million tokens, in/out: Sol $5/$30, Terra $2.50/$15, Luna $1/$6. Terra matches GPT-5.5 quality at half the cost. Luna is the cheapest entry in the line. Altman told CNBC Sol is 54% more token-efficient on agentic coding. That's the message. Not "smarter." "Cheaper for the same result." And ultra: a mode inside Sol that spins up multiple agents in parallel and hands subtasks to submodels. The market counts token bills, not benchmarks. Enterprise thinks spend first now. OpenAI heard it and made price the argument. Today's real launch is unit economics, not intelligence. "Sol beats Fable 5, Luna beats Opus 4.8 at two-thirds the cost" are OpenAI's own benchmarks. Until independent runs, treat them as marketing. ChatGPT Work is Codex in a suit Now the "new agent." ChatGPT Work runs on Codex and GPT-5.6. It moves across your apps and files, stays on a project for hours, breaks it into steps, finishes on its own. Output: docs, sheets, slides, web apps. Inside sits a Unified Plugins Directory: Google Drive, Slack, Teams, Gmail, Outlook, Salesforce, GitHub, Canva, Dropbox, more. Call one with "@" or let the agent pick the source. Sounds familiar. This is OpenAI's second run at plugins. The first was 2023 and it flopped. Brockman admitted the models weren't ready back then. Honest read: hard to tell what's actually new. Scheduled Tasks, Computer Use, connectors already lived in ChatGPT and Codex. Long tasks and data sources worked before too. The real move isn't features. It's consolidation: on desktop, OpenAI is merging Codex and ChatGPT into one super app and putting Codex in front of people who don't code. The Anthropic mirror Here's the tell. This is the exact play Anthropic ran with Claude Code -> Cowork. Take a dev agent, strip the "for coders" label, hand it to knowledge workers. Cowork just hit web and mobile, timed to get ahead of this. Two labs, one bet: whoever owns the desktop app that touches your files and apps owns the knowledge-work layer. Chat is the storefront. The desktop is the land grab. What a practitioner does with it One: rebuild pipelines around price tiers. Route bulk work to Luna and Terra. Keep Sol and ultra for the 10% that needs the ceiling. Economics is a routing problem now, not a single-model choice. Two: the real unlock is the desktop with local file access, not the web. Free tier gets ChatGPT Work on desktop right away. Web and mobile roll by tier: Pro, Enterprise, Edu first, Plus and Business next. Three: billing is usage-based and shares one pool with Codex, ChatGPT for Excel, and Workspace Agents. Count tokens before, not after. A complex task burns quota quietly. Security: OpenAI touts Auto-Review, where senior models check important actions before they run, and claims it blocked 100% of protected-data extraction attempts in red-teaming. 100% in a lab is zero confirmations in ****. Test it yourself. Sober read The model war moved from IQ to unit economics. The product war moved from chat to the desktop that holds your files. Testers are already posting "best model I've touched." Maybe. That's day-one sentiment, not fact. The real scoreboard isn't a benchmark. It's the "AI spend" line in an enterprise budget. That's a market you can actually read. The window is the next couple weeks, before prices settle and everyone re-routes spend. Rebuild your routing around three models now and you enter the quarter with a smaller bill for the same work. Everyone else reads the thread and changes nothing.

• 
  Aaron Li (@polymorpher) reported 10 minutes ago

  we 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

• 
  Arthur Terrell Vaughn (@ArthurV36405381) reported 12 minutes ago

  @patmendoza6745 I know not of any of those specifications, but I still can’t figure out what the issue is with persistent memory, why can’t I just have a dropbox online that it can constantly access every single chat and conversation?

• 
  ESCHA (๑ˊ͈ ^ˋ͈) (@eschadiol) reported 13 minutes ago

  @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

• 
  Jeremy Goldberg (@jeremy_goldberg) reported 13 minutes ago

  @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…

• 
  siamkidd (@SiamKidd) reported 19 minutes ago

  Now the dust has settled with the SN24 Quasar debacle, I thought I'd share some info which would shine a slightly more positive light on the Quasar team. A few weeks ago, they approached DSV to raise $280k. They said they had big developments, some breakthroughs with a new model and that they needed capital for the training run. At the time, bear in mind that their alpha was strong, they were largely in good favour of the community and Const was still a firm backer/supporter of Quasar. And he held the keys. And they were to appear on Novelty Search soon. So it ticked a bunch of boxes. Anyway, we agreed, as we are always keen to help teams. But the issue was that I was away for 3 weeks and I never travel with crypto capability. And anytime any money moves around in DSV it's a right palava as we have 3rd party regulated custodians and have to jump through all sorts of hoops, (as social engineering with deepfakes is a very real threat). So we were able to jump through some hoops and ping over $104k to begin with and then the rest at a later date. Then we had those 2 days of madness at the beginning of the week and Quasar is no more. There's been all sorts of accusations and my view on all this is that there has just been terrible decision making, that's all. Announcements of announcements, over-exaggerating claims, giving a 24 hour deadline to offer proof, delivering it 2-3 days late and then walking back on some of the claims etc etc. I mark this down to simply their very young age and no business experience. But I don't think they are scammers. Just some very bright kids who's first experience of business is a subnet, which is like drinking water via a fire hydrant! And a pertinent piece of info behind that, is that they were very willing to return our funds. So as of today, that $104k has returned safely back to DSV. Their time as subnet owners is over and so there was a fear that we wouldn't get a penny back. But it wasn't the case. So do take this into consideration the next time you hear someone calling them scammers. With regards to Const, I think he too has also had a bit of an unfair ride with some of the comments I've seen. Const has had probably the roughest time with SN24 and is massively down from it all. He initially bought the slot from us, then reimbursed the team twice after 2 hacks, given them 6 figures in compute credits and more. So it really is fair that he keeps the slot. And I'm sure he'll find a good team for it. Also he is the founder of Bittensor. Not the CEO. He can't have detailed DD and optics on every single person and subnet in the ecosystem. And if he backs a subnet, it doesn't necessarily mean it's going to moon or be good forever. He's essentially the Federal Reserve Chairman and he has to craft policy changes to incentivise efficient growth in the ecosystem. He's the visionary and his role is to drive a path forward for Bittensor, which he is doing. And although I've highlighted personal frustrations that the chain is upgrading far too frequently...at least we are upgrading! That's one of the beauties of Bittensor. We will never be stagnant. And for the outsiders looking in, if it looks a bit chaotic, well, it is. But it's not necessarily a bad thing. You should have seen all the chaos and scandals of the companies when the NASDAQ launched! Or when ERC-20 contracts launched on Ethereum or the mountainous amount of scams on Solana with pumpfun. Hell, Bitcoin even hard forked into Bitcoin Cash due to so much in-fighting in 2017. And Ethereum suffered a $150m DAO hack in 2015/16 which forced a hard for there too. Hence why we now have ETC and ETH. So in comparison, everything is golden over here lol. In recent times, we've had/have: - SN4 partnering with Intel. - SN44 partnering with a NASDAQ PLC. - SN71 partnering with Dropbox. - SN18 getting huuuuge institutional clients. - SN107 co-authoring a research paper with OpenAI. - SN53 delivering Kimi K3 tokens cheaper than Openrouter or even Kimi. - SN95 being integrated within Hermes. - SN9 using green energy from SN110 to power their next big training run. - SN21 achieving Google Adwords campaign predictions that no company has ever achieved. - SN51 regularly doing 6 figure buyback and burns with revenue. And there's probably more that I've missed that I'm not aware of. Anywho, the future is bright! Have a good weekend all!

• 
  Dodz4allai (@DrGhattasMD) reported 23 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

• 
  M.Ellis (@MEllisPhotograp) reported 24 minutes ago

  @DropboxSupport erm different wifi nope or is this a suggestion should it be possible ? if so then no my internet signal can be hit or miss at times but never had this issue before... Also shared a file earlier for someone near me to edit using ipad app but photos failed to appear on ipad ?

• 
  Loster (@Loster) reported 27 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).

• 
  Nathan (@arcane_bloom) reported 27 minutes ago

  He was OpenAI's first business hire in 2018. This week, after eight years, he walked out the door. > Brad Lightcap > studies economics and history at Duke, starts as a JP Morgan investment banking analyst > moves into strategic finance at Dropbox, then joins Y Combinator's Continuity Fund > meets Sam Altman through YC, gets pulled into a tiny nonprofit called OpenAI in 2018 as its first business hire > becomes CFO, then rises to COO, helps run the company through the ChatGPT launch and its climb to the most valuable startup on earth > moved off the COO title in April 2026 into a vague "special projects" role > in August, posts on X that he's leaving after eight years to "start something new" > his exit lands one month after product chief Fidji Simo also stepped down > walks away right as OpenAI preps a monster IPO on an $852 billion valuation

• 
  ؘ (@sylusisms) reported 30 minutes ago

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

• 
  The Tech Buzz (@tbuzzdaily) reported 30 minutes ago

  $15M raised: Meticulous grew ARR 5x in a year testing code nobody has time to review manually anymore Chemistry led the Series A, joined by Menlo Ventures, Lachy Groom, and GitHub's former CEO Jason Warner. Founders Gabriel and Quentin Spencer-Harper, brothers with backgrounds at Dropbox and Palantir, built the company around a problem AI coding tools created faster than they solved: code is now written faster than humans can review it. The product records real user and developer sessions during development, then uses AI to auto-generate and maintain end-to-end visual regression tests based on actual observed usage, updating automatically as the code changes. Customers include Notion, ElevenLabs, Dropbox, and Wiz, a list that skews toward companies shipping fast enough to need this. Rainforest QA and Autify compete in AI-assisted testing broadly, but most rely on hand-written test cases rather than tests derived from real session data. The tradeoff Meticulous accepts is that session-derived tests can still miss rare edge cases nobody happened to trigger, which is why the company is expanding from frontend into backend and performance testing next. A 5x ARR jump in a year says enough teams have hit the same wall: AI writes code faster than any QA team can keep up with by hand.

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  ṢƘĪÑlÖVẸ́R̃ṢX🇺🇲🌷 (@skinloversx) reported 32 minutes ago

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

• 
  Wahinya Francis (@wahinyaf8) reported 34 minutes ago

  Dropbox solved a simple problem: How do you access your files from anywhere? Cloud storage became popular because people wanted their files available on every device. Convenience drives technology.

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  Alvin (@Alvin1492840) reported 34 minutes ago

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

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  Sunil Thakare 🇮🇳 🦀 (@thakares) reported 39 minutes ago

  @TLYShortener offering a genuinely useful, privacy-friendly app (no login, no ads) that seamlessly integrates with the company's core product (t_ly short links), is indeed a standard growth tactic seen in tools like Canva, Notion, or Dropbox. The QR app lowers barriers for users while creating natural upsell opportunities: frequent QR creators may later pay for t_ly analytics, custom domains, or branded links without feeling forced. Trade-off is transparent here; users get a solid free scanner but feed data into t_ly's ecosystem, which benefits the provider through increased link volume and potential premium conversions.

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  virgin loser (@stonershelb) reported 40 minutes ago

  He put a photo of their 2 yo daughter naked with exposed genetalia in a Dropbox folder that “received more than 400,000 combined views or interactions. ... and it was publicly accessible for 23 hours before she says Minc acknowledged responsibility and took it down.”

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  Alchemist - τ (@SubnetSummerT) reported 51 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.

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  Ishita Sethi (@Ishita__Sethi) reported 52 minutes ago

  @LoganOpSec that dropbox bit is the part that sticks. recovery without revoking access is just half a fix.

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  Palpy (@evgenij_rabij) reported 54 minutes ago

  A 32 YEAR OLD PRAGUE DEV BULK-BUYS $180 CHINESE NAS BOXES AND NOW PULLS $7,200 A MONTH SHIPPING PRIVATE DROPBOX-KILLERS TO EU FREELANCE DESIGNERS While massive brands scramble to lock teams into clunky, data-mining cloud databases, this creator built a private intelligence system that secures sensitive data and brings in a massive stream of passive revenue every single month. He makes a steady $7,200 every single month by building and configuring private cloud and AI indexing hardware for EU freelance designers who want to escape subscription traps. The entire micro server fits right on the corner of a desk and runs on an ORICO metabox HS200 pro unit. This tiny sliver of hardware packs an Intel N100 processor, 8GB DDR4 RAM, and pumps out local cloud performance on a machine the size of a coffee coaster. Instead of letting his clients burn cash on recurring cloud storage retainers, the engineer pairs the board with two refurbished 30TB hard drives in RAID 1, pre-installs the software, and sells the complete physical package at a premium. Pause at the 0:02 mark in the video where the drive slides in: that is a sleek metallic chassis hosting a $1,000 mini-NAS holding 30TB of encrypted client data. The core value proposition of this setup comes down to absolute data privacy, zero monthly fees, and strategic scalability. Mainstream cloud providers like Dropbox Business can never offer this level of value because they bill €2,400 a year for the same storage tier while uploading private user files to external cloud networks. Here, the ORICO metabox pulls off the entire magic trick locally inside the office. Running on Ubuntu Server 24.04 and MinIO S3-compatible storage, the system automatically triggers a local Qwen 2.5 VL 7B model to run localized RAG pipelines directly over the user's PDFs and Figma exports. Through this custom setup, designers get access to lightning-fast local cloud storage, zero third-party data tracking, and a smart visual search assistant built right into their private drive. This case study is a textbook example of how accessible hardware combined with a smart setup service can unlock unique niche products that solve real human problems, and you can catch the full assembly pipeline in the video below.

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  Clawvard University (@clawvardEDU) reported 55 minutes ago

  A skill server is any endpoint an agent can point at to load skills. Sx 2.0's move is showing a Dropbox folder can be one. Drop a skill in, share the folder, teammates load it. No infra on the receiver's side.

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  Buzzing Pop (@BuzzingPop) reported 55 minutes ago

  Ariana Grande is seeking court approval to subpoena Internet provider to identify individuals who accessed her unreleased content sold online. Grande claims they allegedly stole a photographer's Dropbox login details and hacked the phone of one of her producers: “The hackers created a Gmail account and internet domain impersonating the photographer and tricked the technician into sending Grande’s materials to them.” (via @THR)

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  Mary, The Other Mrs P 🇺🇸💙🇺🇦📎 (@bvmaryp) reported 55 minutes ago

  @JohnLaMacc What voter fraud? What Dropbox problem?

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  Theeevilprincess (@Theeevilprince1) reported 58 minutes ago

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

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  Fraser (@iamfra5er) reported 59 minutes ago

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

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  Rituraj (@RituWithAI) reported 1 hour ago

  🚨 Someone built a tool that checks if your email is registered on 120+ sites — without the sites ever knowing someone checked. No notifications sent. No login attempts logged. No alerts triggered. Silent. Invisible. Complete. It's called Holehe. 16,800 GitHub stars. And the technique behind it is what makes it different from every other email OSINT tool. Here's how most email checkers work — and why they fail. Standard approach: try to log in with the email and a fake password. If the error says "wrong password" — the account exists. If it says "account not found" — it doesn't. Problem: every login attempt gets logged. Every failed attempt triggers security alerts on accounts with 2FA. Some platforms lock accounts after repeated failed attempts. The target knows someone was checking. Holehe never attempts a login. Instead it uses the "forgot password" flow — the password reset mechanism that every platform exposes publicly. When you enter an email on a forgot password page, the platform has to check whether that email exists in its database. It tells you: "we sent a reset link" or "no account found." Holehe reads that response. Gets the answer. Never touches the login flow. Never triggers a security alert. Never logs an access attempt against the account. The platform confirms whether the email exists. The account owner never finds out anyone asked. Here's what 120+ platforms looks like in practice. Social media: Twitter, Instagram, Facebook, TikTok, Pinterest, Tumblr, Reddit. Professional: LinkedIn, GitHub, Freelancer, Fiverr. Dating: Tinder, Bumble, OkCupid, Badoo, Happn. Entertainment: Spotify, Netflix, Twitch, Steam, Epic Games, Deezer. Shopping: Amazon, eBay, Etsy, Zalando, AliExpress. Services: Airbnb, Uber, PayPal, Dropbox, Adobe. And 90+ more. Every registration checked silently. Here's the use case that makes people share this. Run your own email address. See every platform that comes back positive. Then run an email address you gave to a company that claimed they'd never share it. See if it's registered on data broker sites and marketing platforms you never signed up for. See where your email has been sold or leaked to. Here's what investigators actually use it for. Journalists verifying whether a source's claimed identity matches their digital footprint. Security researchers auditing their own exposure before a public disclosure. HR teams verifying whether candidate profiles match claimed backgrounds. And the obvious: anyone who needs to know whether a specific email address belongs to a real active person — without alerting that person. Here's the wildest part. It runs async — all 120+ platforms checked simultaneously. Results in seconds. And it exports clean JSON or CSV for integration into larger OSINT pipelines. Pair it with Blackbird (which takes the confirmed email and finds linked profiles), Sherlock (which takes usernames found in those profiles and searches 400+ platforms), and Maigret (which builds the full dossier) — and you have a complete four-tool OSINT pipeline from a single email address. One command to instal. Run it on your own email first. 16.8K GitHub stars. 1.7K forks. MIT License. 100% Open Source. GitHub link in the comments 👇

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  Abhishek Singh (@0xlelouch_) reported 1 hour ago

  System design question. How would you design Dropbox file sync with conflict handling? Constraints to make it real: 1) Same file edited on 2 devices while offline for 3 days, then both reconnect 2) Large files (2GB). Need chunking, resume, and content-hash dedupe 3) Renames/moves vs edits should not explode into full re-uploads 4) At-least-once change events from clients, out of order, with retries 5) Server must support 10M files per user without scanning the whole tree 6) Conflict UX: when do you auto-merge (text) vs create conflicted copies (binary)? 7) Cross-region sync, eventual consistency, and p95 sync latency < 5s for small edits [generated using my AI agent, hope this was useful]

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  Ed Giansante (@edugiansante) reported 1 hour ago

  community is not a Slack channel. I've been building communities for 15 years across Zynga, Dropbox, Wix, Persona, and my own project Edublin. And the biggest misconception I still hear is: "we launched a Slack, so we have a community." You don't. Slack, Discord, forums, Circle... those are all tools. Community is what happens when people trust each other enough to be honest. I've seen companies spend six figures on community platforms and end up with a ghost town. I've also seen a group chat of 12 people generate more value than a 10,000 person Slack. The difference is the architecture: who's in the room, how they got there, what the norms are, and whether people feel safe enough to say what they actually think. At Dropbox, we had 400 million users. The "community" wasn't a platform, it was the trust between power users who helped each other solve problems the support docs couldn't. They needed to know they were talking to someone who understood their situation. At Wix, I built an 80K partner community. The platform was secondary. What mattered was that web designers felt seen by a company that historically marketed to DIY users. The community was the signal that Wix took professionals seriously. Edublin started as a blog answering questions for Brazilian expats moving to Ireland, with no dedicated platform or app. It became the largest community of its kind because the trust was real. People showed up because they knew they'd get an honest answer. Community is trust. Community is the reason someone comes back. Every time I evaluate whether a community is working, I ask one thing: would these people show up even if the tool disappeared? If yes, you have something real. If not, you have a group chat.