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:

• 
  Cane Allesta (@caneallesta) reported 4 minutes ago

  Your password manager has never actually managed anything. It just nagged you. That changes with iOS 27. At WWDC26, Apple announced what might be the clearest example of agentic AI shipping in a consumer product this year: the Passwords app, combined with Apple Intelligence and Safari, can now autonomously navigate to a website, sign in, change your weak or compromised password to a strong one, and save the new credential back to the vault all triggered by a single tap. A Live Activity indicator appears on screen so you can see it working, but you don't have to do anything else. The word "agentic" is doing a lot of work right now in the industry, often covering vague multi-step demos that never quite ship. Apple's move here is different because it's not broad automation it's surgical. The Passwords app already flagged weak, reused, or breached credentials, so the AI layer had a clearly scoped problem to solve: remove the friction between "you know your password is compromised" and "you actually changed it." That gap was enormous. Most people never close it. The competitive context makes this sharper. Google has been shipping Gemini's agentic features on Galaxy S26 and Pixel devices since early 2026, handling cross-app tasks like ordering food on Uber Eats or booking rides in Lyft broad, flashy, and currently limited to a short list of supported apps. Apple's answer is narrower on paper but arguably lands harder because it touches something every single user has: compromised passwords sitting in a list they've been ignoring for months. What Apple is really doing here is establishing trust in an agentic pattern before asking users to hand over bigger tasks. If your phone can autonomously change your Dropbox password without you watching every click, and nothing goes wrong, you're psychologically a lot more comfortable when it eventually offers to autonomously book a flight or fill out a form. It's the same trick that got people comfortable with Face ID start with something small where the upside is obvious and the downside is contained. The feature ships with iOS 27, iPadOS 27, and macOS 27 this autumn, with developer betas available now and public beta expected in July. For the password manager space 1Password, Dashlane, Bitwarden this is a quiet alarm. Apple just made "auto-fix compromised credentials" a native OS feature. Good luck charging $3/month for that. #WWDC26

• 
  Blackbox RMS (@blackboxrms) reported 5 minutes ago

  Running a record label in 2026 is pure chaos: spreadsheets, Dropbox, endless emails. We built Blackbox RMS to fix it. One desktop app for releases, artists, contracts, promo & royalties. Built by a label, for labels. Link in bio. What's your biggest headache? 👇

• 
  Prajwal (@0xPrajwal_) reported 9 minutes ago

  The next time you say, "Python is too slow," remember: Netflix uses Python. Google uses Python. Anthropic uses Python. Meta uses Python. xAI uses Python. Perplexity uses Python. DeepSeek uses Python. Instagram uses Python. Spotify uses Python. Dropbox uses Python. Reddit uses Python. Pinterest uses Python. Uber uses Python. Airbnb uses Python. Quora uses Python. But yeah... it's apparently too slow for your todo app.

• 
  SMART GrowthSystems 🕸 (@H2Wealth365) reported 9 minutes ago

  🧵In 2008, Dropbox had a growth crisis. Paid CAC via AdWords hit $233–$388 per customer. Product price: $99/year. Unit economics were broken. Drew Houston didn’t fix the ads. He built a referral loop.

• 
  AI Crave (@wecraveai) reported 13 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.

• 
  Boots (@2YOOandBoots) reported 15 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

• 
  Aaron Li (@polymorpher) reported 16 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

• 
  ScarcityMan (@ScarcityMan) reported 19 minutes ago

  You might not believe it, but it is in fact happening, because it increases the cost, time, and difficulty of running a node. "Large" is a matter of opinion, but is clearly a quantity which would add up over time and have an impact. Why don't you want nodes to be as easy to run for people as possible, so that the maximum number of people can participate in the network, making it more valuable and more resilient? Why is that not something you want, to the extent that you will spend time arguing against it? What exactly is your stake in nodes being more difficult to run than they need to be? Why don't you care about spam? Why don't you care that it obviously, as it does everywhere it exists, degrades the quality of the thing being used? Why do think bitcoin will just be fine and go on forever while watching it transform into a poor imitation of dropbox? Why would anyone interested in bitcoin as money continue to use it when it becomes more and more infested with non-monetary data? Why don't you care about the possibility of truly bad stuff ending up on chain until the end of time? Do you think Satoshi made a mistake? Should he have created "Bitdata" instead? Do we not need to fix the world's money? You good with USD or whatever else is inflating away to nothing? So many questions that will never be answered...

• 
  Auritrack - AI-powered expense tracker (@auritrack) reported 19 minutes ago

  How $9.99 a month for “just one app” became the most profitable business model of the last decade. The math behind subscription creep Adobe had a very huge effect on Photoshop boxed sales in 2013, same software, now $20.99 a month forever. Revenue went from $4.4 billion to over $21 billion in ten years. The product didn’t change, the billing did. Companies Learned Something Brutal: - People fight a $200 charge - People ignore a $9.99 one So they sliced everything into $9.99s. Spotify, Netflix, Hulu, Disney+, Max, Apple TV+, Peacock, Paramount+, Audible, Kindle Unlimited, NYT, WSJ, Substacks, Notion, Dropbox, iCloud, Google One. Add a gym membership and a meal kit and you’re at $400 a month before rent. The Trick: every individual service feels reasonable, the bundle feels invisible, banks don’t surface the total and apps don’t show what else you’re paying but you have to add it up yourself. Most people are off by 60% when asked to guess their monthly subscription spend. Banks reviewed this in 2024, off by $130 a month on average. The fix isn’t dramatic. Pull last month’s statement, highlight every recurring charge, cancel three. Most people save $80+ a month with that one exercise. Auritrack does this automatically, every recurring charge gets a tag, the forgotten ones get flagged. Follow for more money stories.

• 
  Taka (@takanola) reported 19 minutes ago

  why can't @Dropbox stayed sign in anymore?

• 
  Bosn (@00bosn00) reported 24 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 26 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.

• 
  Harman (@itsharmanjot) reported 26 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.

• 
  Pelicart (@pelicartza) reported 28 minutes ago

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

• 
  uncle ***** (@probinsyacore) reported 30 minutes ago

  nraas still down but a reddit user has saved most of their mods in a dropbox link oh my god sometimes i do love the internet

• 
  Wahinya Francis (@wahinyaf8) reported 33 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.

• 
  J. (@munchivelo) reported 39 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. if you're a cannabilistic, sick sadistic, son of *****, 666, you're in pain but you sit and stick with it, in the midst of business, then drop a you know what.

• 
  pharmabro (@pharmabro0782) reported 41 minutes ago

  @Ronalfa @draparente @liambai21 a “rock engineer” at Dropbox is an engineer, an RA doesn’t have the degree (undergrad/ masters at best). Now this is different at large pharma where RAs can stay for much, much longer time with structured career development (slow but existent).

• 
  GRETA (@Greta__ai) reported 44 minutes ago

  We added Asset Manager to Greta. You're building an ecommerce app: product images, demo videos, docs, case studies. Before: Upload images to Cloudinary, videos to S3, docs to Dropbox, links scattered everywhere. One breaks, and you're scrambling through three different services trying to find the original. Now: Upload once in Greta. Reuse assets across all your projects, with everything centralized. No external services. No broken links. No context switching between five different platforms while you're trying to ship. That's smoother. That's what actually building feels like. 50 MB per file. Images auto-compress.

• 
  Hospital Hell (@HospitalHell) reported 48 minutes ago

  @SteveHiltonx The mostly mail-in/dropbox election system in California is painfully slow, but that doesn’t make it in any way fraudulent.

• 
  Justin Reinhart 📯📯 (@justinreinhart) reported 50 minutes ago

  @DropboxSupport Turns out it wasn't normal. Forcing a Rebuild inside of Windows Indexing Options was the fix. Windows Issue. Resolved for now.

• 
  Adam (@aclater) reported 51 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.

• 
  Shubh (@TheSuperEng) reported 53 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."

• 
  RyanFox.eth (@ryanfoxeth) reported 55 minutes ago

  “consumer doesn't run on problems” 👏 Consumers will pay to be entertained. Businesses will pay to be productive. This is a lesson the tech industry is forced to learn every decade or so. Apple, Microsoft, Google, Mozilla, Dropbox, Evernote, Quip, AirTable, Trello, etc have all learned this the hard way. We saw it play out in crypto. Today it’s playing out in OpenAI vs Anthropic.

• 
  Siddiqui Qamar ֎ (@siddqamar_ai) reported 56 minutes ago

  "it's just a wrapper" 😑 might be one of the laziest criticism in tech! users don't care whether you built the infrastructure. they care whether the product solves their problem. dropbox didn't invent storage. it made storage effortless. turns out making existing technology usable is a lot more valuable than many founders want to admit.

• 
  Polsia (@polsia) reported 58 minutes ago

  Files become clutter quietly. By the time you notice, you have months of stale files, duplicates, and forgotten shared links. ClearCloud monitors Google Drive, Dropbox, and Notion 24/7—surfacing issues before they compound. Weekly reports. You approve everything.

• 
  EVILxJUG (@EVILXJUG) reported 59 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.

• 
  Jack (@jacklandas) reported 1 hour ago

  alibaba banning claude code over backdoor fears is the new "no dropbox on company laptops" every big corp security team is about to have a list. cursor approved, claude code not. windsurf maybe. this fragmentation is going to be a real problem for devs who just want to ship

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  Karus Daedlyn *Cat Dad Era* (@CDaedlyn) reported 1 hour ago

  @CantEverDie Keep making burner Gmail accounts and sign up for the free stuff. I jest, because that's terrible practice, although I did know an attorney IRL that would do that to daisy-chain those Dropbox sites. Infinite free storage, just in 2.5GB chunks.

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  mel 🩷 (@melodyymami) reported 1 hour ago

  working on uploading, dropbox must be down bc uploads keep failing. i’ve stayed up as long as i could and i’ll try again in the morning!