Dropbox Outage Map

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Dropbox Issues Reports

Latest outage, problems and issue reports in social media:

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  AJ (@ce_aj100) reported 37 seconds ago

  @SsharmaKirti Maybe isse ek project bnalo... redundant file storage ( across various apps like dropbox, gdrive and local server ). And add video streaming capabilities based on the fastest avalable ( calculated dynamically ) service. I made this couple of years ago, but for different tasks

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  Adeyinka Prime™ (@adefilaadeyinka) reported 3 minutes ago

  @aarondfrancis @Shpigford Exactly - when sharing solves a problem for the person sharing, it doesn't feel like marketing. Dropbox nailed this because storing files alone was less useful than storing them with others. The product itself created the reason to invite.

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  Pato (@pvicens_) reported 4 minutes ago

  @ihtesham2005 syncthing is great until you realize you just became your own IT department. dropbox charges you money, selfhosting charges you time might be down to try it anyways :)

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  Cane Allesta (@caneallesta) reported 5 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

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  Anirudh Sharma (@anirudhology) reported 5 minutes ago

  @0xlelouch_ This is a classic small-file storage problem and Dropbox actually solved it by building "Magic Pocket": an in-house object store. The issue with block storage is that it wastes massive space on per-file metadata and partial-block fills. For 10B files, this overhead can cost up to $ 90K/month. Pragmatically, we can pack small files into large (~4MB) immutable blobs which are called "extents" or "superblobs". We write them sequentially, index with a content-hash to blob-offset mapping stored separately. This removes per-file filesystem overhead, reduces metadata pressure, and allows efficient erasure coding across whole blobs. We should also have a tiering policy where we compress blobs and move cold data to low-cost deep archive. Dedup at file level can also be incorporated. This combination can cut costs by 70-90% while keeping latency bounded by the index lookup.

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  Shripal Gandhi (@ishripalgandhi) reported 6 minutes ago

  Hey @Dropbox ... Your advanced customer service is horrible! I have benefit chasing them for an important issue since more than 2 days (not counting the weekend) now and I still do not have a resolution. Is it that your reps are allowed to answer only one email per client per day??

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  𝖆𝖍𝖒𝖎𝖗 (@calhalt98) reported 8 minutes ago

  @liabynight Lmk if you ever make a Dropbox, I’d be down to get it

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  J. (@munchivelo) reported 12 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.

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  Solgato (@Tigger0000) reported 15 minutes ago

  @grok @alexabelonix @grok now i want to design a crochet motif of you.. but that would be inexcusable (says some voice in my head). talk about proto-guilty pleasures. funny how we're talking about a musical tool hook then a fiber work tool hook asserts itself. in the round-robin i've been dizzily going down the gpt connector rabbithole, "connect Dropbox" was scarily tempting. i didn't trust that sort of **** long before your people were part of it --it's not ph3333r of AI that says No. the company that scooped up Trello has a fascinating sales presentation.

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  TradeNewsCast (@trade_news_cast) reported 18 minutes ago

  Dropbox CEO Drew Houston to Step Down, CNBC Says

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  Shubh (@TheSuperEng) reported 19 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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  Nav Toor (@heynavtoor) reported 22 minutes ago

  Open your bank statement right now. Count every subscription. Netflix. Spotify. ChatGPT Plus. Claude. Adobe. Apple One. Disney+. iCloud. YouTube Premium. Audible. NYT. Dropbox. Notion. Gym. Dating app. A 2026 study found the average American spends $219 a month on subscriptions. That is $2,628 a year. But they estimate they spend $86 a month. 74% of people admit they have forgotten about a recurring charge. 42% are currently paying for a subscription they have stopped using. A Portuguese developer named Miguel Ribeiro got tired of bleeding money to forgotten subscriptions. He lives in Berlin and works as a senior frontend engineer at eBay Kleinanzeigen by day. At night he tried Billbot and a bunch of paid web apps. None of them worked. Some of them charged him a monthly fee to track his monthly fees. So in October 2023 he wrote his own. The repo today: → 7,922 stars → 365 forks → GPL-3.0 licensed → Pushed last week → 69 followers on the founder's profile It is called Wallos. You self-host it. It tracks every subscription, every renewal date, every category, every currency, and shows you the actual number on one screen. Here is the wildest part: The subscription companies designed the system this way on purpose. 72% of people set everything to auto-pay because the checkout flow defaults to it. Cancellation pages are buried 5 clicks deep. Some require a phone call during business hours. A 2022 FTC report called this "dark patterns" and Adobe is paying $150 million in a settlement for hiding cancellation fees this exact way. Miguel did not raise venture capital. He did not write a Medium post. He did not go on a podcast. He shipped one PHP app from his apartment in Berlin and now thousands of people use it to claw back hundreds of dollars a year. The honest part: It needs a tiny server (a $5 Raspberry Pi works). You have to enter subscriptions yourself, it does not auto-detect from your bank. The UI is functional, not gorgeous. The author still works a day job and ships updates in his spare time. Berlin. One developer. The companies that auto-charge you forever finally have an enemy.

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  BonkDaCarnivore (@BonkDaCarnivore) reported 25 minutes ago

  @QEDCats I don't even remember the login for that Dropbox so I think it's there forever

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  Isha (@VISportsTalk) reported 27 minutes ago

  @DropboxSupport Still not working

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  Ral K' Thar (@RalKThar) reported 28 minutes ago

  There is an easy to fix things in the uploaded to Dropbox version that Grok garbled. It just makes it so any API key comes up as invalid.