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:

• 
  HodlReaper (@HodlReaper) reported 7 seconds 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 Upgrade what's outdated.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.

• 
  Joo Tat (@heyyyjoo) reported 47 seconds ago

  @kozerafilip @joinsauna @newitemco Here’s my main first impression of Sauna: I don’t see a clear winning use case yet. At least from my perspective, Sauna currently feels like a broad AI layer on top of the apps you already use. It can suggest what to do, help find information, and has a multiplayer/collaboration angle around understanding what other people are doing. But I don’t yet see the specific use case where Sauna is clearly much better than existing alternatives. For an early product, I think it would be useful to have a sharper wedge: a specific group of people, in a specific situation, with a painful problem where existing solutions are poor, and where Sauna is obviously the better answer. Maybe that wedge already exists, but as an outsider looking at the website and demo, it is not immediately clear to me. This feels especially important because Sauna asks users to overcome a meaningful amount of friction and anxiety. To unlock the value, users may need to connect sensitive apps like email, Slack, and Notion. If the multiplayer value is important, they may also need to convince teammates to connect their own sensitive apps. That creates a big trust and coordination hurdle, so the value proposition needs to be extremely clear before people will make that jump. One analogy I think about is Notion. Notion is now a very broad horizontal product: people use it as a CRM, Jira alternative, team wiki, notes app, etc. But early on, I believe it had a much simpler starting point: document and knowledge organization. The product and communication was focused on a better way to store, structure, and share notes and docs compared to alternatives like Google Drive, Dropbox, or scattered documents. People could use it for their own notes and documents first. Then, when they eventually shared a page with colleagues, those colleagues could immediately see the value because the page was easy to navigate, clear, flexible, and beautiful. I wonder what the wedge could be for Sauna. I noticed that the Solutions page seems to heavily feature Sauna in Slack, as an assistant that has access to shared context. Is that something that has been resonating better with users? One possible wedge could be someone who is overwhelmed by Slack because they have too many messages and threads to respond to. They could drop their personal assistant into a channel to help reply on their behalf, using context shared with Sauna, and escalate when it is unable to answer confidently. That might also create an easier mental model around access: the personal assistant in Sauna has access to more private context, while the team-facing assistant in Slack has more limited, scoped access. From there, if colleagues see the assistant working and want their own, that could be a natural path into the multiplayer or “*** main branch” idea. Individual assistants could start to merge shared context and provide better help, suggestions, and coordination over time. I’m not sure if this is the right wedge. The answer may already be visible in the product’s usage patterns: who is sticky, what they are using Sauna for, and where they are getting repeated value. But I think the key question is: what is the specific initial use case where Sauna is not just useful, but dramatically better than the alternatives? Once that is clear, I think the product / website / demo should make that use case extremely obvious to the users who need it. (Btw I'm speaking with Ryan tmr regarding the PM role. Which was what led me to explore Sauna as part of my own research. Thought I might as well share my first impressions here)

• 
  Spencer Baggins (@bigaiguy) reported 49 seconds 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.

• 
  J. (@munchivelo) reported 2 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 the sql from json. no importers or WC rest needed. the images would be uploaded via ftp, and then on detection, would sync those to the media library. it took what would be 3 hours of manual work, and congested it into a 2 minute image, to fully live product. 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. 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. i built that mostly with GPT 4.0 and a little bit of 3.5. copy and pasting the chats from chatGPT. all the plugins, the php, everything. then some of it got improved inside vscode back on the old original copilot plans. this was before n8n, before agents were even a thing. all of that was built for me, 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. 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. and i've finally been building the replacement for it, but it'll be able to do many other things. 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. not only that, but i moved away from woocommerce entirely. instead i just built my own website builder, which is 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. except this time, a year later, we have GPT 2.0, and seedance. which offer MUCH better usage for ecommerce than it was back 1 year ago. i also built an ad builder. it takes my brands images, or generates images. i've got background removed, and full skills and agents which practically 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. that's 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. 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.

• 
  Sahil Handa (@sahilhandapanda) reported 4 minutes ago

  I'm convinced this kind of environment-setting is even more important online. The digital equivalent of swapping a cassette in a studio is stopping to go hunt down a file in Dropbox or Drive.

• 
  mskah🔞 (@mskah_t) reported 7 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.

• 
  J.F. Lawrence | Author (Jesse) (@jflWrites) reported 9 minutes ago

  @spaceemotion All good ideas. I've thought about Dropbox, Google Drive, and OneDrive. They suffer from persistence, login requirements, and users fiddling with things that change permissions. AWS is cheap, and I'm considering it, but I'm trying to pay for this off of my measly book sales, so...

• 
  Jordan (@GoodLordJord) reported 10 minutes ago

  @SmugFecundity @techsaleshackz One million paying customers narrows it down to only a handful of saas companies in the world. Something with that many customers is obviously mature and has a ton of smb business. Probably something like docusign or dropbox which I could totally see a 50 yo doing ok at.

• 
  Yaroslav (@yarslav) reported 11 minutes ago

  this post has been up for just about a day > 10+ leads for long-term packaging work > almost 200 new followers > impressions up across the whole account yet I declined every single lead I've never worked on a per-project basis, always valued long-term relationships but recently I decided to make it even more exclusive I keep the number of channels i work with deliberately VERY small so each one gets my full strategic attention but no matter how selective I am, this type of work has a ceiling I can only work with so many channels at once so I started building something bigger, that is beyond my time and solves a real problem all creators face youtube has become a real industry, with creators running teams of 5, 10, 15+ people but the tools haven't caught up everyone's still spreading their production across notion, slack, drive/dropbox, frame, and more tools just to run their channels because nothing was built specifically for youtube production until now. @feedzyio

• 
  Santiago Bustelo (@sbustelo) reported 13 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

• 
  Boots (@2YOOandBoots) reported 18 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

• 
  Sourav Dutta (@sourav12dutta) reported 21 minutes ago

  @ishankbg @Siradhvaja @PhilipPanass Yes, shodhganga seems to be down. Can you suggest how I can post a folder with 10 pdf files here? Both dropbox and wetransfer are asking for email id.

• 
  Google Account (@hanzala_007) reported 21 minutes ago

  @CricketCaptain Where to place names files in dropbox,there are multiple folders. Like last time in saves its not working

• 
  Pelicart (@pelicartza) reported 24 minutes ago

  @lukey_stephens @_avdept real also - dropbox??? why would you pay $5 and not just set up an sftp server

• 
  markusdd (@markusdd5) reported 25 minutes ago

  I have the feeling - when I see who is posting this table over and over on here - that this is just a campaign so institutionals can get in cheaper. How am I remotely interested in the statistics within a 1 year window. (apart from the fact that there are many companies on that list that neither have a unique selling point (Dropbox, Doordash, Pinterest etc..) nor were they economically super great investment casess with a lot of upside. It is of course very likely that SPCX will trade extremely volatile within the first year and that we will also see cash-outs by long term private equity holders once the lock-period expires. So if you have cash set aside - no investment advice - consider just not throwing it in all at once. I personally plan on playing this in 3 tranches. 1/3 today, 1/3 on the first significant draw down and then another 1/3 whenever I feel it is appropriate.

• 
  Music, Film & RE Investments (@investandcreate) reported 28 minutes ago

  @0xajka @Dropbox What’s your problem? @dropbox support is horrendous.

• 
  Vladic (@Vladic_ETH) reported 29 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.

• 
  Bosn (@00bosn00) reported 32 minutes ago

  2026 and we’re out here building god-tier AI that can debate physics and write symphonies, but Grok still can’t watch a Dropbox, OneDrive, or Discord video link.“Sorry, I can’t watch videos from Dropbox, OneDrive, or most direct file links.”We’re doing all this magic with AI and the video player is stuck in 2015. Fix it, xAI.

• 
  J. (@munchivelo) reported 34 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. my advantage is that i have a year of scripts, a year of tools. i've laid the SYSTEMS in place, to fully map out entire features, precisely, and organized, and build out projects, in one hour, and have it implemented within the next. entire saas features - mousework. 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. and they don't get it. their 'app' is just a little tiny module in something that thinks bigger. 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. the only winners will be the ones prepared for cannabilism. ready for war. they call it war rooms, yet they sit around eating donuts provided by their VC's. real builders sit in the dark, in empty rooms, grinding. if you're a cannabilistic, sick sadistic, son of *****, 666, with an idea. then drop a you know what.

• 
  komm64 (@komm64) reported 35 minutes ago

  @Celeriumcore I see, thanks. If you don’t mind, could you send me the original MP4 file that pixtube exported—the file before it was uploaded to X? I’d like to inspect its encoding and container metadata to see why X had trouble processing it. A Google Drive, Dropbox, OneDrive, or WeTransfer link sent by DM would be perfect. Please send the original file without re-encoding it. No worries if that’s inconvenient!

• 
  Santiago Bustelo (@sbustelo) reported 36 minutes ago

  @DropboxSupport THEY ARE GIVING ME CANNED REPLIES. YOU SCREWED MY WORK AND BURIED ME FOR THE FOLLOWING MONTHS TO FIX UP THE MESS YOU MADE UP WITH MY FILES. I DEMAND A REFUND.

• 
  Raziel (@tryraziel) reported 39 minutes ago

  Drew Houston got rejected by 76 VCs before Dropbox became worth $12B. But the rejections weren't random — they revealed exactly what he needed to fix. 2007: Drew builds a file-syncing prototype. VCs say "there are already 20 companies doing this" and "users won't pay for storage." He realizes he's pitching the wrong thing. Storage isn't the product — seamless sync is. 2008: He creates a 4-minute demo video showing Dropbox "magically" syncing files across devices. No technical jargon. Just the experience. The video gets 75,000 signups overnight from a waiting list that didn't exist yet. Same product. Same founder. Completely different story. Key insight: Drew stopped explaining how Dropbox worked and started showing why people needed it. → Before: "We use block-level file synchronization across distributed systems" → After: "Your files, everywhere you need them" When he finally raised $1.2M from Sequoia, it wasn't because he built better technology. It was because he learned to sell the outcome, not the process. The rejections taught him something no accelerator could: how to position a technical product for mass adoption. What's the difference between how you explain your product internally versus how customers actually experience it?

• 
  Logan Radcliff (@GTDCANI) reported 39 minutes ago

  Omg OneDrive is terrible! Do better @Microsoft ! Trying to download a folder with 1000 files. OD zips, downloads, says complete. I end up with 5% of my files. Never this issue with Google Drive or DropBox.

• 
  Adrien Matray (@AdrienMatray) reported 40 minutes ago

  The trap: when ~/.claude/ is in Dropbox, it often seems to work. No error message. Sometimes your preferences load, sometimes they do not. The symptom is silent quality drops you cannot trace. Not a visible failure. That is why people miss it.

• 
  𝙳𝚛𝚊𝚌𝚞𝚕𝚊 𝙱𝚛𝚊𝚗𝚍 𝚃𝚊𝚖𝚙𝚘𝚗𝚜 𝙻𝙻𝙲. (@mynameisFACE) reported 45 minutes ago

  You ever login to your old Dropbox and see pics/vids you don’t even remember? Boyyyy, some mistakes were made 😩

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  Jeff Preshing (@preshing) reported 48 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 Diamond (@rebeccardiamond) reported 50 minutes ago

  @p_ganong I’ve had this problem too. When I’m editing with Claude, edit manually directly in the .tex file locally on your machine through overleaf-Dropbox sync. Then you and Claude are both working locally.

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  Shubh (@TheSuperEng) reported 54 minutes ago

  For the past months, tech layoffs have tormented the internet. I studied the biggest layoffs and found the major reasons. Let's look at the layoffs first: 1. Meta: 11,000+ employees / 13% Meta admitted it overestimated post-Covid growth. Revenue slowed, costs were high, and the company moved toward becoming leaner. 2. Google: 12,000 employees / around 6% Google said it had hired for a different economic reality and needed to refocus resources toward its biggest priorities, especially AI. 3. Microsoft: 10,000 employees / less than 5% Microsoft said customers were optimizing digital spending after the pandemic boom, while the company shifted investment toward strategic areas like AI. 4. Amazon: around 30,000 roles / nearly 10% Amazon cut corporate jobs to reduce bureaucracy, improve efficiency, and restructure around AI and faster decision-making. 5. Salesforce: 10% of workforce Salesforce admitted it hired too aggressively during the pandemic and had to resize after customer spending slowed. 6. Spotify: 17% of workforce Spotify said growth had slowed, capital had become expensive, and the company needed to become more efficient after years of heavy investment. 7. Twitter/X: Around 3,700 employees / nearly 50% After Elon Musk’s takeover, Twitter cut roughly half its workforce to slash costs after a massive drop in ad revenue. 8. Snap — 20% of workforce Snap cut jobs after revenue growth slowed sharply. It also shut down non-core projects like games, Originals, and the Pixy drone. 9. Intel: 15,000 roles / around 15% Intel cut jobs because costs were too high, margins were weak, and the company needed a $10B cost-saving plan to stay competitive. 10. Dropbox: 528 employees / 20% Dropbox said demand had softened, the org had too many layers, and it needed to shift focus toward newer growth areas, like AI products. All these layoffs were majorly because of: 1. pandemic overhiring 2. slower revenue growth 3. higher interest rates 4. pressure to improve margins 5. companies cutting management layers 6. money shifting toward AI infrastructure This is majorly conflicting with the idea that AI automation is taking everyone's job. There is absolutely no evidence that AI has caused massive layoffs because of "automation."

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  Suburban Cyber Technologies (@suburbancyber) reported 54 minutes ago

  Shadow IT used to be "someone installed Dropbox." Now it's "someone connected our CRM to an AI agent without telling IT." Same problem. Different speed. Time to update your governance playbook. That's what I am having to do every couple weeks now it seems. #ITLeadership #CyberSecurity #EnterpriseIT

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  𝔤𝔞𝔟𝔦 ♡ (@stucklikehoney) reported 60 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?