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 (50%)
• Sign in (33%)
• Website Down (17%)

Live Outage Map

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

City	Problem Type	Report Time
Bournemouth	Sign in	1 month ago
Paramaribo	Errors	2 months ago
Bogotá	Website Down	2 months ago
Auxerre	Errors	2 months ago
Salt Lake City	Sign in	2 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:

• 
  Abhishek Singh (@0xlelouch_) reported 6 minutes ago

  Design Dropbox file sync (typical system design prompt). 1) Clarify requirements - Devices: desktop + mobile, many devices/user - Semantics: eventual vs strong; last-writer-wins vs conflict files - Granularity: whole file vs block/chunk diff (large files) - Offline edits, resumable uploads, deletes/renames, shared folders - Targets: sync delay (ex: <2s LAN, <10s WAN), max file size, storage limits 2) APIs + data model - POST /changes (client reports local ops: create/modify/delete/rename) - GET /changes?cursor=… (server streams remote ops since cursor) - PUT /upload_session (init), PUT /upload_session/{id}/chunk, POST /commit Tables: - users, devices, folders - files(file_id, folder_id, name, latest_version_id, tombstone) - versions(version_id, file_id, hash, size, mtime, author_device, parent_version) - blocks(block_hash, size, refcount, storage_ptr) - version_blocks(version_id, block_hash, idx) - change_log(user_id/folder_id, seq, op, file_id, version_id) 3) Architecture - Client watcher + local metadata DB; compute chunk hashes; upload missing blocks - Metadata service (txn + authz) + object store for blocks (S3/GCS style) - Change propagation: long-poll/WebSocket for online devices; push notifications - Dedup: content-addressed blocks by hash; refcount GC 4) Scaling choices - Shard metadata by user_id/folder_id; keep change_log append-only - Cache hot metadata (latest_version, cursors) in Redis; rate limit clients - CDN/object store for block download; multipart for big files - Background workers: GC, compaction, conflict detection, virus scan (optional) 5) Tradeoffs to discuss - Chunk size: 4MB lowers metadata; 256KB improves delta sync but higher overhead - Strong ordering per folder via monotonic seq vs global ordering (hard) - Conflict model: last-writer-wins is simple; conflict copies preserve data but noisy - Encryption: TLS always; client-side E2E complicates server-side dedup/search 6) Failure cases - Network *****: idempotent commits via upload_session + version_id; retries with backoff - Duplicate uploads: hash-based existence check; commit is atomic in metadata store - Clock skew: don’t trust mtime for ordering; use server seq + parent_version - Retry storms after outage: jitter + per-device budgets; push minimal deltas - Corrupt blocks: hash verification on download; re-fetch; quarantine bad replicas

• 
  Eusebiu Balan (@BalanEusebiu) reported 7 minutes ago

  @gezimqaili been on dropbox for years, never let me down honestly

• 
  Jack (@jackcoder0) reported 10 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.

• 
  Abdullah (@abdinmotion) reported 11 minutes ago

  One video. $48 million in revenue. No ads spent. That's the Dropbox story and most product teams still haven't learned from it. Here's what actually happened: Dropbox had a technically brilliant product that no one understood. Instead of adding more features, they made a 2-minute video that showed *exactly* what the product did. Simple. Specific. Human. Signups went up 10% overnight. Big companies spend millions refining their product. Then they describe it in six bullet points on a landing page and wonder why the sales cycle takes forever. The product video isn't marketing. It's compression. It compresses trust, clarity, and desire into 90 seconds. If a user can't understand your product in a video, the product isn't the problem. The story is. When was the last time you watched your own product video as if you were a first-time user?

• 
  EVILxJUG (@EVILXJUG) reported 12 minutes ago

  🚨Your goal this week-DELETE your DIGITAL FOOTPRINT!🚨 Let me help you: ——————— ✅Purchase any 1TB-10TB SSD Storage (this is dependent on your needs) or RAID server (can be ridiculously expensive, DO NOT RAID your storage if you do not know how to build, transfer, and manage a RAID!) ✅Have additional SSD storage drives. ✅Download all your media (pic, music, documents, videos, files, etc.) from your cloud services (iCloud, Google Drive, Microsoft One, Dropbox, etc.) and store them onto your purchased/physical SSDs as a backup. ✅Permanently, DELETE all your downloaded media files from those cloud-based services. ✅Permanently, clear the trash can (recycle bin), delete your cookies, delete your cache. ✅Tech Experience: iOS 🚨Apple automatically creates backup copies of your files on your devices. 🚨Even after managing or deleting data, you often need to search deep into your file system to permanently delete these original Apple backups.🚨Media transfers to Apple devices (iPhone, iPad, etc.) take longer than expected because:✅iOS creates multiple versions of each file during the transfer: original media, optimized media (for better storage efficiency), and backup files.✅All of this processing happens in the background while the transfer is ongoing.🚨DELETE THOSE FILES! ✅Your physical storage (SSDs, NOT HHDs), should be in your “firebag” (emergency bag, in case of fire- to grab and exit immediately to safety), stored in a cool place in your home. ✅After, you do all these things, your cloud-based storages should be freed up! Take down your subscriptions to what you think you should use and afford without compromising finances and data. DO NOT up your online cloud-based storage into the 1TB range EVER again! Limiting yourself to 100-500GB of cloud-based storage will keep you in check to store things physically in your home instead of online (this is healthy for your mental and to safeguard yourself from yourself). 🚨RING Devices!: if you own any ring devices or any security monitoring devices- CREATE A STATIC (NOT DHCP), CLOSED-CIRCUIT environment! Use EVERY protocol and firewalls to maintain your integrity infrastructure. Remove all unrecognized IP devices from YOUR ENTIRE NETWORK! Use ENCRYPTIONS to securely lockdown your network! 🚨DO NOT create a “guest” profile! 🌟Sorry, I’m speaking “nerd” lol, I don’t have time to explain it in laymen’s terms.

• 
  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.

• 
  leveltu (@leveltu144) reported 17 minutes ago

  Most people look at this box and see a home storage system for old drives. In reality, it can become a small business built around local AI, backups, and private data. The more companies use AI, the faster they accumulate documents, videos, call recordings, knowledge bases, backups, and files for RAG systems. Keeping everything in Google Drive or Dropbox becomes expensive, slow, and risky, so small businesses increasingly need local NAS servers with automated backups and secure private-cloud access. The business model is straightforward. You target small agencies, dental clinics, accounting firms, video studios, e-commerce companies, and manufacturers that already hold 2–10 TB of data but still store it across random external drives. Then you sell them a complete solution: NAS installation, RAID configuration, automated backups, remote access, protection against data loss, and local storage for AI workflows. You can charge €400–€900 for installing and configuring the system, excluding the hardware itself. Monthly maintenance, backup verification, and monitoring can add another €80–€200 per client. Close five companies within the first two or three months at an average setup fee of €600, and you generate €3,000 from installation plus roughly €600 in recurring monthly revenue. Ten clients can produce €1,200–€2,000 per month from support alone. The real profit is not in reselling hard drives. The client pays for the equipment, while you sell the audit, configuration, data migration, automation, and responsibility for keeping the system operational. The service layer can carry far higher margins than the hardware. No one can honestly guarantee income within 90 days, because without sales there is no business. But reaching your first €500–€1,500 per month within two or three months is realistic if you build one demonstration NAS, package the offer clearly, and contact at least 30–50 potential clients every week. While everyone else is trying to make money from another AI chatbot, a more durable business is forming around the infrastructure AI cannot function without: data, storage, backups, and private computing.

• 
  J. (@munchivelo) reported 18 minutes ago

  track back to just over a year to now. i'd built an automated ecommerce flow that took a whole store end to end. seo would research trends, products, and map those into .js scripts which would launch prompts that read those research files. that would feed an image gen prompt which created designs, set to specific standard. i'd generate them, and then ANOTHER prompt, would check the images, score them with a criteria, and either move them to an accepted folder, or move them to an archive folder. the accepted folders, would automatically fire a script which would open photoshop, map the image to smart layers, in a 'product shot' template i'd made, and then export all of the final product shots to another folder, and then exported the flat designs which would be used for the products. another script took the product images, did visual lookups, generated all product descriptions, renamed the images and generated the seo text. it ran optimizations locally via a jpegoptim and oxipng script. it then uploaded them to dropbox, and via API, would generate a dropbox link map. i had one barebones csv template, which i'd run a ps1 script through to map json files into the csv rows, and insert the dropbox link map. all my images, links, followed the exact same slugs, so it turned 2 hours of manual work into a 5 second bulk rename and insert. it then converted that csv into json, which then itself converted that json into ld-json for product rich listings. ai would write the product description based on a dataseo keywords, and googletrends json file that would run on every product type. collecting keywords for that specific product. it also formed it around brand profiles, copy guides and other things. this was sonnet 3 days, GPT 4.0 days, and it STILL wrote great copy when it had the right guidance. in the .js file, i'd replace all em dashes with a hyphen if they ever appeared. i built a custom product uploader, built my own php plugin which synced to local .js files and connected via rest. it was (and still is) one of the best wc product uploaders that exist, as it completely resets filterlookups only for that product, and is lightning fast because i upload it directly into woocommerce rows from json. no importers, no wordpress malarkey, or WC rest needed. it was 50x faster than wc's own CSV import. the images would be uploaded via ftp, and then on detection, would sync those to the media library, and i'd upload the image meta from the seo run, so they all had captions/alt text etc. it took what would be 3-5 hours of manual work per product, and congested it into a 2 minute image to fully live product system. after that, i'd export sales data, the ai was constantly learning, sales data feeding back to files, which would then teach the ai what products work, what doesn't. what copy worked, what copy didn't. that would then flow back into the original source files which told the ai what images to gen and what products to launch. all of it was local on my pc. i wasn't selling an saas. it was just something that worked for my very particular setup. the thing about it is; i built that mostly with GPT 4.0 and a little bit of 3.5! mostly copy and pasting code manually from the chats in chatGPT. all the plugins, the php, everything. then some of it got improved inside vscode back on the old original copilot plans, when $10 used to last you an entire month of none stop coding. this was before n8n, before agents were even a thing. all of that I built very specifically for myself, local, syncing folder to folder, json file to json file. python scripts watching files, and .ps1 files that would follow up with other .ps1 files, which launched .js files which contained prompts for AI, and hitting the openAI API's whenever I needed the AI layer. eventually i built a terminal tool, which would allow me to run the scripts from the terminal, and i'd manually type in the slugs for which products i wanted processed. all files would sit in specific folders, and scripts would do the rest. i was so excited about that, giving my terminal app a shortcut icon and putting it onto my taskbar. that was a year ago. fast forward to now. the game has changed so much. ANYTHING and i mean anything is possible now. people 'new' to codex, and CC etc don't know how good they have it. but i've had this ******* idea for so long, to build a fully automated, self learning ecom business, that launches products end to end based on it's own research, writing, and growth, but the complexity of it previously , and being busy with life, it never got finalized. the secret is i sync it via etsy too, but they're API keys take FOREVER to aquire, but built my own etsy system, product uploader, which runs across 7 different stores. however, now, i've finally been building the replacement for it. i'll be able to run that exact same system, except this time through a full app, with a canvas, and agent systems instead of .ps1 scripts. not to say i won't run scripts; they're an integral part of any automated workflow, but now it has superpowers, and it can do so so so much more. all the ideas I wanted to do, automated, fully, end to end. not only that, but i moved away from woocommerce entirely. instead i just built my own website builder, which is also fully automated end to end. my brand profiles, my artwork system? i'm still using those, just for more things. now i can launch 50 brands just like it, running the same system, all in about 5 minutes. whether it's saas, local service, or online ecom. i also built an ai automated ad builder. it takes my brands images, or generates images. i've got background removers, and full skills and agents which fully generate the ads for me. it mixes all that into seedance videos, and posts in logos etc. now i take those image/videos, and build instagram, tiktok, facebook vids, generate descriptions, and upload them automatically. it has an every growing library to source from, templates to use, and the system derives right with the websites, so all themes/styles match precisely to the brand. this is why it's so great building for yourself. the amount of reusability you get with it, the fact it's free forever, can never be beaten. none of these saas companies get it. and they're heading in the wrong direction. we could already DO half of what these companies are doing. my own personal SEO system, which i built for my automated web builder, is already 10x better than any yoast, rankmath etc. i skip expensive ahrefs, semrush, and just rebuild their services myself, using API, which is 100x cheaper. except this time it FEEDS my system, and i don't need to lay a finger on it. nobody cares about these little one off apps that won't exist in a year. they're either failing to see the future, or they're hoping for an early exit before they know the dominos start falling. people will want PRIVATE systems. all speaking to each other. not 1200 integrations and 1200 invoices to send to, that don't even have a ******* brain. i'm not selling anything yet. but if you're interested in seeing how i think about automation, then stay a while and listen. the tool i'm building will absolutely help you too. but i'll be honest. i'm actually quite scared to release it, solely down to how powerful it is. not many people do it like i do, and i'm finally on here to tell the world.

• 
  ؘ (@sylusisms) reported 19 minutes ago

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

• 
  mskah🔞 (@mskah_t) reported 20 minutes ago

  I got in touch with the system administrator, and they were able to resolve the issue. It turned out that the problem was caused by an update to the connected Dropbox account.

• 
  AI Crave (@wecraveai) reported 22 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.

• 
  Hugo Bowne-Anderson (@hugobowne) reported 23 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!)

• 
  CHRISTOPHER BLAZ✨ (@Blaz_Dao) reported 23 minutes ago

  Walrus 🦭 and Walrus Memory explained in a lay man's understanding. Let's dive in: 1. What is" Walrus🦭" ?? Firstly, I want you to think of Walrus as a gaint decentralised hard drive built on Sui protocol or ecosystem. Walrus is trying to become the decentralized version of cloud storage services like Google Drive, Dropbox, or Amazon S3, but built for Web3. In a simple analogy, think of it like this; Google Drive vs Walrus With Google Drive, your files are stored on Google's servers and Google controls the storage. If Google removes a file or service, you're dependent on them. But, With Walrus🦭 it's a different case as your files are split into many pieces. Those pieces are stored across many independent storage providers in a cheap manner as no single company controls all of your data. And the most fascinating thing is as long as enough storage providers remain online, your files can be recovered whenever you want. 2. What is "Walrus memory"?? In plain English, Walrus memory is simply the storage space used to keep data on the Walrus network. That data can be:Images, Videos, Documents, NFT media, AI datasets, Website files, Backups etc. Why does it matter? Imagine a viral meme image on Sui. Normally, the blockchain only stores a reference to the image because storing the image itself would be too expensive. Most blockchains are good at storing transactions but terrible at storing large files. @WalrusProtocol is designed to store large amounts of data cheaply while remaining decentralized. ~BlazCares

• 
  Vladic (@Vladic_ETH) reported 28 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.

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  SCRIBEMOON (@SCRIBEMOON) reported 30 minutes ago

  Ok great. What do we do. What can we do. I was told We were the problem, the people who vote on Election Day, we made things go slowly. VOTE EARLY THEY SAID. I voted on May 13 via dropbox. STILL NOT COUNTED. I doorknocked for Spencer. Only threatened once- by a Cedars Sinai young white female doctor. The CORRUPTION is too overwhelming. We need FEDERAL INTERVENTION!

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  Jeff Preshing (@preshing) reported 30 minutes ago

  What's the point of using smarter models if "smarter" means 10% better at finding obscure bugs and having a sassy attitude? Most of the true productivity gains that coding agents have to offer, which are finite, can be obtained using open-weight models for literally 1/100 of the price. The catch is that you actually need to understand the code you are working on. At the same time, I still think there's a viable business serving proprietary models. People are willing to pay for Dropbox even though FTP is free, and it's nice to throw a tough problem at a stronger model occasionally (if intellectual property limitations allow it). Plus, there's a whole frontier productizing this stuff. Unfortunately, Anthropic is currently in the business of spreading tall tales about future improvements, then shaking down enterprise customers. Most of it is based on 2010s LessWrong posts full of category errors, some of which I remember reading back in those days. And their recent hostility toward users in the name of safety is a result of the same ideological recklessness.

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  Rebecca Allen (@silentnomore314) reported 31 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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  Long Long Int (@LongLongInteger) reported 41 minutes ago

  Topic 7: Checksum: ========= Input Data -> Cryptographic hash functions like MD5, SHA-1, SHA-256, SHA-512 -> fixed size string is called checksum Checksum is used for checking data corruption during data transfer/upload Can be done both client-side and server-side Advantages of client-side checksum: =========================== -Detect data corruption during transmission -Resumable downloads (only after checksum match for each chunk, we mark that chunk as uploaded) -Deduplication before upload -Companies that do: Youtube, Google Drive, S3(optional), Dropbox Advantages of server-side checksum: ============================ -Verify storage integrity (to check disk corruption, large systems periodically check files) -Deduplication inside storage -Replication verification -Companies that do: Local file backup software, Dropbox, Google Drive, Youtube

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  Windows Latest (@WindowsLatest) reported 45 minutes ago

  Windows 11 June 2026 update, which was supposed to make PCs faster, is crashing some PCs with BSODs, breaking OneDrive integration in File Explorer and custom folder icons, and causing other problems. We're seeing reports that Windows 11 KB5094126 is causing boot failures on some PCs, mostly HP enterprise hardware. The worst reports involve BitLocker recovery loops, Black Screen of Death/BSOD failures, Secure Boot signature errors, and error 0xc0430001. Affected models appear to include HP EliteBook 840 G10, HP ProBook 460 G11, HP Engage One Pro G2 AiO POS, HP ZBook, and some Dell Precision systems. The likely trigger is Secure Boot certificate handling + EFI partition space. On older images with a 100MB EFI partition, Windows may fail to update Boot Manager because there isn’t enough space, especially on HP systems where firmware recovery files can bloat EFI. There are also File Explorer cloud integration issues. OneDrive, and in some cases Dropbox or iCloud Drive, may stop opening from the sidebar/tray shortcut after KB5094126. Microsoft also confirms desktop.ini hardening can break custom folder icons or localized folder names from untrusted sources. KB5094126 is important, as it fixes 200+ security bugs, but be careful, as it could cause havoc on some PCs.

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  Nick Bennett (@NickB2005) reported 45 minutes ago

  a company hired me in march to "fix marketing." their words. when i asked what had been done so far, the CEO sent me a dropbox link. inside was a 94-slide strategy deck from the fractional CMO they'd had for five months. beautifully designed, with color-coded ICP segments, a channel prioritization matrix, buyer journey maps with little arrows, TAM analysis, and messaging frameworks. 94 slides. i opened their HubSpot. zero new campaigns launched in those five months. the email sequences were the same ones from 2023. the blog hadn't been touched since january. their one webinar was a repurposed sales deck with no promotion plan. i asked the CEO how much they'd paid for the strategy work. $60K. five months at $12K/month for someone who built slides and attended standups. here's what i did in my first 30 days: rewrote the homepage messaging based on five customer interviews i ran myself. launched a 4-email nurture sequence targeting their top 50 accounts. set up a webinar with a customer willing to tell their story. built the UTM structure so we could actually track what was working. killed three tools they were paying for but nobody logged into. by day 45, the sales team had qualified meetings from inbound for the first time in two quarters. not because i had some brilliant strategy the previous person missed. honestly, the deck was solid. someone just needed to execute it. the problem is the market is flooded with people who call themselves fractional CMOs because the title sounds senior. they show up, do discovery, build a deck, present it to the leadership team, and then just consult. they attend meetings and give opinions but nobody is actually running the campaigns or in HubSpot building workflows or writing the emails or briefing the designer or pulling the performance data on friday to figure out what to change on monday. most early stage companies don't need a strategist. they need someone who can think and ship in the same week. someone who will build the system, run it, measure it, and iterate without needing a team underneath them to do the work. that's the gig i run. and every time i walk into a company that had a "fractional CMO" before me, i find the same thing: a great deck collecting dust and a team that still doesn't know what to do on monday morning.

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  Informed Choice 🇦🇺🇺🇸🇮🇱 (@DoreyMeryl67438) reported 46 minutes ago

  @DropboxSupport I have been trying to contact support unsuccessfully. It seems that my account has been deactivated by accident when another account linked to it was cancelled. I would love to hear back on how to fix this issue. My account was recently renewed so should be there. Thanks

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  Kirk Patrick Miller (@Chaos2Cured) reported 46 minutes ago

  @RealRoseGoblin Do you have Dropbox? Of Google Drive? I am afraid with email I am super slow. If you have a personal phone, I have WhatsApp. I have learned to simply do everything publicly. Mostly to protect myself. Try to DM me your number. Happy to connect. If it is big, you should post it here, on IG, on TikTok… everywhere. •

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  Arthur "lynch mob" van Pelt 🔥 ∞/21M ⚡ (@Arthur_van_Pelt) reported 48 minutes ago

  @laz1m0v @adam3us You want a multifunctional database. Go try BSV or Microsoft SQL Server or Arweave. They have what you want. Bitcoin is money. Not a Pepe Dropbox. Go take your Pepes elsewhere, please. Then we wouldn't even need filters if everyone behaved in the spirit of Cash instead of Pepe.

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  Santiago Bustelo (@sbustelo) reported 53 minutes ago

  @DropboxSupport More details? “I am really sorry for any inconvenience this is causing. We'll update you shortly on this issue.    In the meantime, please let me know if you have any further questions.   Best regards,  Jesse | Advanced Support” That’s the “support” I’m getting. FULL REFUND NOW

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  Sol!A3800 (@SolA3800) reported 58 minutes ago

  @Dropbox I have loads of upload problems with Dropbox, scarce access to customer support inside the app, whilst when trying to get customers support from outside the app, the information says get customers support from inside the app. Have paid £19.99 for more than a year with little use benefit of the service, am considering closing the account.

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  Adam (@aclater) reported 60 minutes ago

  Hey @FedEx @fedexhelp - you've got the wrong address on a dropbox in alexandria, and I keep getting your angry customers and packages. Happy to work together to fix it? I can DM details.

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  ṢƘĪÑlÖVẸ́R̃ṢX🇺🇲🌷 (@skinloversx) reported 1 hour ago

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

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  Kieran 🥃🎶🐇 (@KGeorgee) reported 1 hour ago

  @datarade NET? Probably region of 45% 5k+ companies now? Not all are exits or in cash yet will be propped up a lot on Stripe dropbox doordash coinbase if we go gross probably close to 70% by now? Some bad perfromers in there of course too that will bring it down. nuts figure ngl

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  PodWire (@PodWireHQ) reported 1 hour ago

  Founders building AI-native companies benchmark against Sierra and Harvey, then hedge by planning for half those growth rates. Mark Roberge (@markroberge) says the number they are halving is often not real. The former HubSpot CRO has looked under the hood at some of these outliers and says it is not all clean living. Headline ARR leans on contracted-ARR gimmicks. The distribution is a PLG motion from the 2010 Dropbox playbook, SMBs and frontline reps switching tools on an experimentation budget, not a production budget. Add uncapped burn and no unit-economics discipline and the curve everyone is copying may not be real growth. Some gold in there, he says, but a lot of Groupons and WeWorks. The trap is every founder thinking they are the exception. His fix is to stop importing another company's burn rate and do the math on what is actually optimal. Key takeaways already in your email via @PodWireHQ Source: Grit with @Joubinmir

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  Lazar Stojković ⚡️ (@LazarStojkovic) reported 1 hour ago

  @soltwagner @soltwagner Hi! Bought Cooldock today and loving it so far. A few things: 1. The Dropbox widget doesn't work. (See attached.) 2. The App Switcher widget is broken. It won't switch focus to a clicked app and clicking the Ⓧ removes the app from the switcher for a split second, and then immediately brings it back. 3. A Trello widget (or a few) would be awesome.