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 (60%)
• Sign in (20%)
• Website Down (20%)

Live Outage Map

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

City	Problem Type	Report Time
Nottingham	Errors	14 days ago
Guayaquil	Website Down	14 days ago
Flumet	Errors	24 days ago
Irapuato	Errors	27 days ago
Bournemouth	Sign in	3 months ago
Paramaribo	Errors	4 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:

• 
  glitterandspit (@Glitterandspit) reported 47 seconds ago

  Dropbox down. Computer updating. I have a free day I suppose.

• 
  Atalocke (@atalocke) reported 3 minutes ago

  @Dishpit So your moat on a developer product is “let us run this for you”? Like Fly or Cloudflare couldn’t destroy you by adding a durable object *** server? They already have a CI/CD product. They already have the compute. Look, you could be having a DropBox 2009 moment, but why your software when there’s already a great open platform my agent has decades of docs to work with and simple docker hosting options? Is it really just cost? How long is that sustainable? Nobody is going to buy a *** host. Really, you’re competing via marketing. You need a target audience of developers. Not just generic developers.

• 
  Joachim Voth (@joachim_voth) reported 4 minutes ago

  @DropboxSupport why can I only use one core for indexing? Most machines have MANY nowadays. Download speed is not the issue, it is almost always the ultra-slow indexing that dropbox does with only one CPU core active. Am I seeing this right? Why can we not dedicate 5 or 8 cores to something that really slows down your users?

• 
  Zely (@0xZely) reported 4 minutes ago

  The MIT professor who crashed 10 percent of the internet at 22 posts the free course that runs every AWS outage, every Uber ping, and every Slack notification on earth. MIT charges $85,000 a year to sit in that classroom. He posted every lecture to MIT OpenCourseWare for nothing. Millions have opened lecture one. Almost no engineer has finished all twenty. His name is Robert Morris. He is a professor at MIT CSAIL and one of the four cofounders of Y Combinator, the seed fund behind Airbnb, Dropbox, Stripe, Reddit, and Coinbase. In November 1988 he was a 22-year-old Cornell graduate student. He released a small program that was supposed to count the computers on the internet. It replicated so fast it crashed roughly ten percent of every machine online, and made him the first person ever convicted under the Computer Fraud and Abuse Act. He got three years probation, 400 hours of community service, and a $10,050 fine. Ten years later he cofounded the online store Viaweb with Paul Graham and sold it to Yahoo for $49 million. Seven years after that he cofounded Y Combinator with the same partner. Its portfolio is now worth over $600 billion. The clip in this video is one lecture from MIT 6.824 Distributed Systems, filmed at MIT and posted for free. The words on the board behind him are fault tolerance, availability, recoverability. Those three words decide whether Instagram loads when you open it, whether your Uber arrives, and whether your paycheck hits your account on the first of the month. Morris covers the entire logic of distributed systems in twenty lectures. Everything fails, all the time. A single computer fails once every few years. Ten thousand computers fail hundreds of times a day. The only design that survives is one that assumes failure is normal. Every retail user cursing a spinning wheel is looking at the wrong problem. The miracle is that most of the time it does not spin. Availability beats consistency. You cannot always have both. When the network splits, a system either serves stale data or refuses to serve at all. Amazon picks stale. Your bank picks nothing. Every user who screams at the Slack status page wants Amazon's answer. Every user who screams at a double charge wants the bank's. Replicate everything, trust nothing. Data in one place disappears when that place burns. Data in three places survives two fires. Every photo you have ever taken on an iPhone lives on three continents already. iCloud, Google Photos, and Dropbox are built off the exact lecture on the board. Concurrency is where bugs live. One user at a time is easy. A million users at the same second is not. Race conditions, double spends, lost messages, ghost bookings. Every airline that oversold your flight, every trading app that ate your order, every Ticketmaster that showed you a seat already gone, is a concurrency bug Morris warned about. Partial failure is worse than full failure. A dead server is easy. A slow server that answers half the time is a nightmare. It fools every retry, wastes every resource, and confuses every operator. Every "is it down or is it just me" Twitter search you have ever run is Morris's third slide. Every senior engineer at AWS, Google, and Meta has watched this course. Every startup that raised a Series A in cloud infrastructure hired an alumnus of 6.824. Every AI company training a trillion-parameter model on a cluster is running the same lecture in production. "A distributed system is one in which the failure of a computer you didn't even know existed can render your own computer unusable." That is Leslie Lamport, the Turing Award winner Morris quotes at the opening of 6.824. It is the exact sentence that explains why your Slack goes down when a data center in Virginia loses power. The full course is free on MIT OpenCourseWare. The lecture notes are on Morris's website. Every equation on the board fits on one screen of code. Almost every senior engineer at AWS, Google, Cloudflare, and Meta has watched 6.824. Almost no founder promising 99.99 percent uptime on their pitch deck has opened lecture one. That is the entire moat. The course is free. The willingness to sit through twenty lectures on partial failure before uploading your money to a payment app, storing your photos in the cloud, or handing your health records to a portal is a much rarer commodity than the confidence to click without them.

• 
  Daniel Foerster (@pydsigner) reported 6 minutes ago

  @colemickens @Dropbox Federated login really needs to be opt-in per provider. I shouldn't be able to log in using Lenovo (or Google, Facebook, Microsoft...) unless I used that provider during account creation or added it afterwards.

• 
  Craylor (@craylor) reported 7 minutes ago

  Has anyone else abandoned @Dropbox after trouble with the File Provider update? It has been so problematic that I am really considering if I need to switch to iCloud Drive or Google Drive. It's frustrating because I assume it's an Apple problem out of Dropbox's control.

• 
  Ed Giansante (@edugiansante) reported 7 minutes ago

  every founder i talk to is hiring a head of community wrong. i've been that hire four times. Zynga, Wix, Dropbox, Persona. 15 years, three continents. every time the JD was wrong, the expectations were wrong, and the first 90 days were a mess until i rewrote them myself. the JD problem. most community job descriptions read like a social media manager with extra steps. "manage our Discord, post engagement content, track NPS." that tells me the founder thinks community is content moderation with a better title. a real head of community JD should say: build the infrastructure where customers trust each other enough to solve problems together, and connect that trust back to pipeline and retention. if the JD doesn't mention revenue or product feedback loops, you're hiring the wrong role. the first 90 days. at Dropbox i walked into 400M+ users and zero community infrastructure. no forums, no events, power users had no way to talk to the product team. days 1 to 30: listen. real conversations with 50 customers. find the 10 who love your product enough to evangelize it for free. those are your founding members. wrong. within 2 weeks we had an outage and I had to source folks who were talking about Dropbox in different spaces - dev forums, stackoverflow, spiceworks, hackernews and so on. I was honest enough to share what was going on, my role and where i needed their help. days 31 to 60: build the first room. not a Slack with 14 channels nobody uses. one focused format. at Persona it was a 15 person dinner for compliance leaders. at Wix it was a partner council of 80K agencies. start small, make it valuable enough that people tell their peers. days 61 to 90: prove the loop. connect a community interaction to a business outcome. a feature request that shipped. a deal that closed because a customer introduced a prospect. a churn save from a power user helping a frustrated customer. if your community hire can't show that loop by day 90, something is off. forget member count or engagement. track these: repeat attendance. show up rates. at my dinners, 90% of RSVPs show up. 99% return. pipeline influence. what happens post dinner that can be attributed to $$$? product feedback velocity. how fast does a community insight reach the product team and ship? NPS delta. at Wix, partner community members renewed at 2-3x the rate of non members. the biggest mistake is org charting community as a sub-group within a random team. community sits between product, marketing, sales, and customer success. it touches biz relationships, partnerships, revenue, retention, and product roadmap. treat it that way. hire someone who's built it before and give them a seat at the leadership table.

• 
  Karishma Bhardwaj (@bkarishma360) reported 8 minutes ago

  @shahzamannn_ Your SaaS idea doesn’t need to be complicated. Stripe moves money. Postman sends API requests. Notion organizes information. Dropbox syncs files. The lesson? Simple problem + huge market + great execution = massive company. Stop asking, “Is my idea too simple?” Start asking, “How many people have this problem?”

• 
  Shoost (@Shoost_Product) reported 8 minutes ago

  Shoost updated: v0.17.3 → v0.17.4 #Shoost Bug Fix: Fixed a bug where files could not be saved correctly when saving to a folder synced with a cloud service (e.g. Dropbox)

• 
  Ivan Kirigin (@ikirigin) reported 12 minutes ago

  @sethbannon I think I’d agree with the sentiment, and not the assessment. We’re not close to too many startups building weapons. The company with “drone” in the name that has the navy and other defense units as obvious potential customers doesn’t make a trend. If I had to put my finger on what has changed, Palantir and Anduril unlocked the latent interest in the space that matches the historically close connection between Silicon Valley and defense. It was just that the Overton window was locked down by people afraid to talk about what defense really means, and in many cases aren’t even Americans with the opinions. I say this as someone who worked at iRobot in defense before my time in YC, Facebook, Dropbox, and Lyft. Each had lots of people comfortable assuming others will think about and solve the ***** problems.

• 
  Luke Elin (@LukeElin) reported 12 minutes ago

  👤Shadow Adoption The pattern: Staff route around the sanctioned tool, and the organisation finds out afterwards. I watched this with unauthorised modems. Then with USB drives. Then with Dropbox. Then with entire SaaS platforms procured on a personal credit card and expensed as “software.” Now it is AI the same movie, new cast, better production values. The reason is always identical and always reasonable: the sanctioned tool is slower than the job requires. Shadow adoption is not an indiscipline problem. 👊 It is a feedback signal about the official tooling, arriving through the wrong channel. The tell: Compare the usage figures for your officially sanctioned tool against what your helpdesk volume implies people are actually doing. The gap is your shadow estate. FR FR

• 
  160 IQ haver Randy (@MinionTripper) reported 22 minutes ago

  @mittsh why would anyone use dropbox you can just setup an ftp server on a linux machine!

• 
  FarhanX_AI (@FarhanBuildsAI) reported 22 minutes ago

  SETTING #1: Startup Apps Nobody Asked For What it does: Every time you install a new program, it quietly adds itself to a list of apps that launch the second Windows boots, whether you use it daily or once a year. Why it kills performance: Your laptop isn't just starting Windows when you power it on. It's simultaneously launching Spotify, Steam, Adobe updaters, Dropbox, Zoom, and a dozen other programs all fighting for the same limited CPU and RAM at once. How to fix it: Ctrl + Shift + Esc to open Task Manager → Startup apps tab. Disable everything except your antivirus and anything you genuinely open every single day. The technician found 19 apps launching automatically on her laptop. She recognized maybe 6 of them.

• 
  WPBeginner (@wpbeginner) reported 23 minutes ago

  You built your WordPress site over months (or years). One bad plugin/theme update can wipe it all out overnight. 😱 Plugin conflicts. Malware. A botched migration. A hacked server. The disasters that take down WordPress sites usually happen without warning. And here's the mistake most site owners make: they think their hosting provider's backup is enough. It's NOT. If the server fails, you lose both your site and the backup. We share the complete step-by-step guide for backing up your WordPress site the right way. Here is what you will learn: ✅ Use a Backup Plugin (Best for Most People): @DuplicatorWP is what we use across our sites. Full-site backups, disaster recovery links, and restore without having the plugin pre-installed. Free version available, Pro has scheduled backups. ✅ Use Your Hosting Provider's Backup: SiteGround (where WPBeginner is hosted) includes manual and automated daily backups on all plans. Bluehost partners with CodeGuard and Jetpack for their built-in options. ✅ Manual Backup With cPanel or FTP: Use cPanel's Backup Wizard for a full backup, or connect via FileZilla FTP to download your wp-content, themes, plugins, and wp-config.php files directly. ✅ Send Backups to Cloud Storage: Duplicator and UpdraftPlus both connect natively to Google Drive, Dropbox, OneDrive, and Amazon S3. Never store backups on the same server as your website. If your host fails, both are gone. ✅ Set Up Automatic Scheduled Backups: Configure hourly, daily, weekly, or monthly backups in Duplicator based on how often you publish. eCommerce stores and busy blogs need daily. Slower-moving sites can get away with weekly. Ready to protect years of hard work with a proper WordPress backup system? Read the full ultimate step-by-step guide 👇 (Link is in the thread below)

• 
  Danny Grinberg (@DannyGrinberg) reported 31 minutes ago

  @DropboxSupport I DMd you guys but pandadoc is looking great right now ngl its an error when you have an existing dropbox sign trial and you try to upgrade to the api version it wont let you (insane)

• 
  Kyle Harrison (@kwharrison13) reported 32 minutes ago

  Maybe. Maybe you'd be fine without data centers. But let me ask you this. Do you use credit cards, debit cards, tap-to-pay, gas pumps, vending machines, parking meters, parking apps, ATMs, online banking, mobile banking, mobile check deposit, Zelle, Venmo, PayPal, Cash App, Apple Pay, Google Pay, splitting a dinner bill, autopay on your bills, payroll that isn't a paper check, direct deposit, digital 401(k), Robinhood, Coinbase, credit score checks, loan applications, mortgage applications, car loan approval at the dealership, insurance quotes, filing an insurance claim, e-filing your taxes, gift cards, store loyalty accounts, digital coupons, rebates, buy-now-pay-later, tipping on a screen, email, text messages, iMessage, WhatsApp, Signal, group chats, voicemail transcription, spam call blocking, FaceTime, Zoom, Google Meet, Discord, Slack, video calls with grandparents, phone number lookups, checking your data usage, paying your phone bill, two-factor codes, push approvals to log in, password managers that sync, "sign in with Google," resetting a forgotten password, digital IDs in your wallet app, gym check-in apps, apartment smart locks, hotel keys on your phone, office badge apps, patient portals, seeing your test results, booking a doctor's appointment, telehealth visits, prescription refill requests, the pharmacy knowing what you're on, insurance verification at the front desk, prior authorization, continuous glucose monitors, insulin pump apps, remote pacemaker checks, CPAP data reports, hearing aid apps, therapy apps, period trackers, fertility trackers, medical alert buttons for elderly parents, symptom checkers, finding an in-network doctor, the weather app, radar, hurricane warnings, tornado warnings, flood alerts, earthquake early warning on your phone, wildfire maps, smoke maps, air quality, pollen counts, Amber alerts, emergency alerts, road closure info, Google Maps, Apple Maps, Waze, live traffic, rerouting around a crash, transit apps, real-time bus and train arrivals, tapping your phone to ride the subway, Uber, Lyft, rental car reservations, Turo, bike share, scooter share, EV charging networks, paying for a charge, phone-as-car-key, remote start, finding your parked car, over-the-air car updates, in-car navigation, in-car voice assistants, stolen vehicle tracking, road trip planning, booking flights, checking in for a flight, mobile boarding passes, seat selection, flight status, rebooking after a cancellation, bag tracking, TSA PreCheck lookups, airport wifi, booking hotels, Airbnb, Vrbo, checking into a hotel, cruise bookings, theme park tickets, ride reservations, airline miles, hotel points, currency conversion, Amazon, all online shopping, order tracking, delivery notifications, returns and exchanges, price checks in-store, self-checkout, store apps, curbside pickup, Instacart, DoorDash, Uber Eats, ordering ahead at a restaurant, OpenTable, Resy, waitlist texts, QR code menus, tipping on delivery, subscription boxes, eBay, Etsy, Facebook Marketplace, Craigslist, Poshmark, StockX, Ticketmaster, StubHub, getting into a concert with a phone ticket, Alexa, Siri, Google Assistant, smart thermostats, video doorbells, security cameras, alarm monitoring, smart locks, smart lights, robot vacuums, garage door openers, baby monitors, pet cameras, automatic pet feeders, GPS pet collars, smart sprinklers, smart fridges, app-connected air fryers, cloud printing, printer ink subscriptions, routers you manage from an app, checking if you left the stove on, iCloud, Google Photos, every photo you've taken in ten years, Dropbox, Google Drive, OneDrive, shared albums, phone backups, setting up a new phone, notes apps, calendars, contact syncing, reminders, to-do apps, document scanning, e-signing a lease, Netflix, YouTube, Hulu, Disney+, Max, Prime Video, Twitch, cloud DVR, on-demand cable, Spotify, Apple Music, podcasts, audiobooks, Kindle books, library ebook borrowing, online multiplayer games, matchmaking, cloud saves, game downloads, game patches, single-player games that phone home for a license check, Steam, PlayStation Network, Xbox Live, Nintendo Online, Roblox, Minecraft servers, fantasy football, sports scores, sports betting apps, movie tickets, Google search, Wikipedia, ChatGPT, Claude, every other AI app, Instagram, TikTok, Facebook, X, Reddit, LinkedIn, Snapchat, Pinterest, dating apps, Yelp reviews, Google reviews, news sites, Substack newsletters, blogs, forums, checking if a business is open, looking up a phone number, recipes, translation apps, Duolingo, Google Docs, Sheets, Gmail, Outlook, Microsoft 365, Teams, Notion, Figma, Canva, shared calendars, scheduling links, VPNs into work, remote desktop, timeclock apps, shift scheduling apps, requesting time off, expense reports, job applications, LinkedIn recruiters, video interviews, Canvas, Blackboard, checking your kid's grades, school lunch accounts, attendance notifications, online homework, Khan Academy, Coursera, FAFSA, student loan portals, tutoring apps, Fitbit, Apple Watch health data, Strava, Peloton, sleep tracking, smart scales, calorie tracking, meditation apps, workout apps, DMV appointments, renewing your license online, paying a parking ticket, jury duty portals, checking your property tax bill, utility accounts, outage maps, paying rent through an app, HOA portals, storage unit access codes, wedding registries, baby registries, funeral arrangements, Ancestry, 23andMe results, church livestreams, volunteer signups, or GoFundMe? If you said yes to ANY of those then you do, in fact, NEED data centers.

• 
  The Redeemed Artist (@Peace_Grenade81) reported 32 minutes ago

  I know I'm just screaming into the void. And there's probably less than like one or 2% of users that actually use this function. But I'm going to do it anyway. For the longest time the X app beta was absolute garbage on Android. It had serious stability problems, I couldn't use voice to text properly, and I couldn't access my memes from Dropbox, my cloud provider. The most recent change fixed all of the other problems except for my Dropbox integration. At first, I blamed X for this but I have since come to learn that the real culprit is Google. If you go into your app section and look for cloud providers they give you all sorts of choices so long as you like the choice that is Google's. Theoretically, other providers should be in here like Box or Dropbox. But Google has been playing footsie making rules about cloud provider integration and not actually approving anyone else. Google has become Microsoft. Google will tell you what cloud provider to use and it will conveniently be their own. Google will continue to upgrade their operating system closing off any other provider options or applications they simply disagree with for any reason at all. Meanwhile what this means for me is that I can't insert any memes or videos because they are all stored on Dropbox. Yeah, yeah, yeah I could go into Dropbox and then click on a photo and then share it to X and then make a post out of it. But what I can't do is respond to a post and insert a picture or a video directly through the X app. Don't know when this gets fixed, if ever. But I think it's time for Google to be investigated for monopolistic practices. I realize that this doesn't affect many people, but if you think they aren't coming for your various conveniences, I'm pretty certain that that's going to be proven wrong. Since I can't post a meme but only a local photo, here's an unrelated picture of a quilt we bought at auction. 🙄

• 
  RVCrypto (@RvCrypto) reported 36 minutes ago

  Every once in a while I have one of those moments as an investor where everything just clicks. I had that moment a couple of weeks ago with Leadpoet, $TAO subnet 71. What initially caught my attention was the team. To me, they represent what a Bittensor-first team should look like. They're deeply committed to the ecosystem, they execute quickly, and, most importantly, they seem to understand that in the end none of that matters if you don't build a product customers actually want. The product appears to be working really well. Winning the OKX product competition and attracting an inbound pilot with Dropbox are the latest two independent signals that suggest they're solving a real problem for enterprise sales teams. The opportunity they're pursuing is also enormous. Enterprise sales is a market worth billions, and if Leadpoet continues executing the way it has so far, I genuinely believe they have a realistic path to building an eight-figure revenue business next year. And the best part here is that all of that value ultimately flows back into the token. I've also spent quite a bit of time talking with Gavin over the past few weeks and months. Those conversations gave me a very similar feeling about Leadpoet to the one I had with Score when talking with Max. I don't make that comparison lightly. It's great to see Leadpoet finally getting the attention it deserves, and the recent price action reflects that. Although, if I'm being completely honest, I would have loved one more dip to accumulate a bigger position, and I know I'm not the only one thinking that.

• 
  keeks is ready to be the worst man in amercia (@ultranormanmoon) reported 38 minutes ago

  @JonahAmericana NOT BOTH BUT IM SURE YOU CAN PIRATE THE FIRST ONE. I have the Dropbox link but I think they deleted it or something bc I have to login to find it and idk if that’s normal or not 😭

• 
  Lalit Dhalia (@lalit_dhalia) reported 40 minutes ago

  @GrokInsider U are acting exactly like that hackernews comment who was shitting on Dropbox launch, "u can setup your own ftp server". Same energy guy. If u have to ask this, u are NOT the audience bro. Come on.

• 
  John B. Holbein (@JohnHolbein1) reported 40 minutes ago

  Replication has become much easier in the era of generative AI. I'm not the first person to say that. However, I've seen fewer people acknowledge a specific aspect of this lowered cost for replicating scientific work: Generative AI will very soon allow us to assess the robustness of individual scholars' full bodies of work. Soon, we will be to compute measures of which scholars do robust science, and which do not. What's wild is that we may be able to almost do that already. Let me show you what I mean. In June, I gave Claude a pretty basic prompt. It read: "I have a big task for you. I want you to start a folder. Call it Acemoglu Replications. Then, go find as many replication archives for Daron Acemoglu as you can. Keep a spreadsheet of the ones you can find and those you can't. Then, start a replication/reproduction effort on those articles. People have in the past criticized the research designs and general robustness of his individual papers. I want to know how strong his body of work is as a whole. Don't come in with any prior beliefs; be dispassionate." I let Claude run overnight while I slept. When I came back in the morning, 29 of Acemoglu's replication archives were fully loaded in my Dropbox. All the code reproducing the paper's results had run. And there was a first draft of a paper assessing the robustness of Acemoglu's full body of empirical work. I'll admit, the first draft of the paper wasn't great. But with 15 short follow up messages--which took me about an hour to write--I was able to prompt engineer a paper-length examination of Acemoglu's work. I've attached the screen shot of the abstract below. I think this reassessment of Acemoglu's work is certainly not done. I'm posting the abstract as a proof of concept, rather than a definitive answer. I'm not posting the full paper yet because I think it still needs more work. Ultimately, I paused this project for three reasons. 1.) Limited time/topical expertise: Most of Acemoglu's work is outside of my area of topical expertise. So, I have limited time to work on it. What this type of a project really needs is someone who has the time and the know-how to dig into each of the replication's individually to make sure they are doing the right things. I think the ideal approach combines the breadth that LLMs afford and the depth of attention/expertise that humans can give. 2.) Questions about the value of the "assess one scholar at a time" enterprise: I totally get that having a database of scholar-level robustness metrics would be very valuable in theory. But what I don't know is whether this approach is truly valuable. Moreover, doing so would come with distinct challenges. a.) Many journals have very restrictive space constraints. A body of work approach would, of necessity, be very long. b.) Collecting replication archives is harder for some types of scholars (those who post them all on their websites) than others (those who don't). c.) We'd have to think hard about questions like: what scholar-specific robustness metrics would be best? And: how would we deal with the fact that prolific authors' robustness metrics would be estimated much more precisely than less prolific scholars? Additionally, I'm just not sure that "taking on" one scholar at a time has enough scientific merit to pursue. If I measured how robust an individual scholars' work is, I'd ideally want to know where that metric stands vis-a-vis the rest of scholars in that field/area. To do that, we'd ideally want the population of these scholars or, at minimum, a random sample. Concretely, if Acemoglu has, say, 78% of published headline results reproducible under some standardized protocol, is that excellent, mediocre, or terrible? To answer that, you need a reference distribution. That makes a random or otherwise well-defined sample of scholars much more attractive than selecting prominent individuals one by one. (I'll acknowledge that I may just be wrong on #2. Arguing against myself, I do agree that human-driven reproduction/replication work rarely assesses full/representative slices of a field. Instead of assessing one scholar at a time, we assess one paper at a time. Field-wide detective work is becoming more common, but my sense is that it's still the exception rather than the rule.) 3.) Cost/benefit considerations and replication norms: we have very weakly formed norms around reproduction/replication generally speaking. We have basically no developed norms around replicating individual authors one at a time. What this means is that the people who would lead a scholar-by-scholar replication effort will, likely, bear a heavy cost and, potentially, reap limited benefits. On the costs side, focusing on scholars' total bodies of work risks making the replicators look petty, vindictive, and antisocial. Enough of the scientific field is hostile towards replications of individual papers. Imagine what will happen if/when a scholar submits a scholar-specific "take down" of a full body of work. My sense is that it's common enough for scholars having their work replicated to be asked to be a reviewer for those manuscripts. I've seen very hostile responses when one paper is at issue. Imagine what type of reviewer Acemoglu would be for a paper that took on his entire body of empirical work! Even if Acemoglu weren't a reviewer, prolific authors tend to have wide coauthor/friend networks. The rally-around-my-friend dynamic we often see would certainly work against this type of paper being published. Even a completely neutral analysis acquires an accusatory character simply because the sampling unit is a named person. And that creates an unfortunate problem of its own: readers may interpret the choice of scholar as evidence that the investigators expected to find something. On the benefits side, replicating individual scholars' total body of work may offer limited payoffs. What journals would accept this type of scholar-specific replication? I'm not sure the top ones would. Conclusion: Generative AI has enormous potential in assessing and, ultimately, enhancing the robustness of scientific research. Instead of asking questions like, “does this famous individual paper replicate?”, we can begin asking questions like: -“What proportion of published empirical findings in [field X] survive a common robustness protocol?” -“How much of the variation in replicability is attributable to papers, authors, journals, methods, or subfields?” -“Are scholars persistently more or less robust across their work?” -“Can we predict which findings will prove fragile?” I may just be wrong on what I think about a one-at-a-time full body examination of scientific research. If I am, please let me know! I am also happy to chat one-on-one with anyone who is curious to learn more about the early-stage Acemoglu-specific replication project.

• 
  Mikemira (@storiesbyohama) reported 41 minutes ago

  Just imagine getting accepted into the most exclusive startup club on earth… Then being told you have two weeks to find a complete stranger to as your partner. That’s exactly what happened to Drew Houston in 2007. He had the idea for Dropbox. He had a rough demo. @ycombinator liked it. But @paulg was clear... Single founders rarely make it. You need a co-founder. Right now. Drew’s friends couldn’t join. Time was running out. What would you do? He put out the word. A mutual friend connected him to a quiet MIT student named Arash Ferdowsi. They had never met. They sat down in the student center. Talked for about two hours. About code. About the problem. About the future. At the end of that conversation Arash said yes. He dropped out of MIT the next week with only one semester left. Two weeks later they walked into the YC interview together. They got in. The rest is history: a company that became worth billions. It looked reckless. It felt like a shotgun wedding. Yet it worked because both were all-in from the first conversation. I’ve studied hundreds of startups that never made it past the idea stage. Most founders wait too long for the “perfect” partner. They overthink chemistry. They protect their equity. They miss the window. You can’t wait for certainty. Sometimes the right co-founder is the person willing to jump with you before the proof exists. The speed of that decision can be the difference between staying a solo dreamer and building something real. What would you risk in two weeks if the right person walked in?

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  Abhi • AMZBoosted.com (@AbhiChauddhari) reported 42 minutes ago

  Everyone downloads Seller Central reports manually. Every. Single. Day. The problem isn’t downloading reports. It’s remembering to do it before you need the data. AMZBoosted schedules report downloads automatically and sends them wherever you want. Google Sheets. Dropbox. Telegram.

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  Saurabh | Celsius 233 (@Celsius233Books) reported 43 minutes ago

  @colemickens @Dropbox lenovo and security issues...takes one back to the 2015 Superfish scandal where lenovo was visually scanning every single webpage you visited to sell ads

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  Lowkea (@lowkea713) reported 45 minutes ago

  Dropbox if you could please fix your self I have an uncomfortable amount of music in your app and now I can’t log in

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  Amitoj Gautam (@amitojgautam) reported 47 minutes ago

  @airtelindia @Airtel_Presence I’m facing what appears to be a serious IPv6 routing/throughput issue on my Airtel broadband. My 300 Mbps connection gives ~300 Mbps download AND upload on Speedtest. However, with IPv6 enabled, Dropbox uploads collapse to around 10–15 KB/s, and services such as Gmail and some websites also become extremely slow/unresponsive. After disabling IPv6 on the Ethernet adapter, Dropbox immediately jumped to ~39 MB/s and the affected websites started loading normally within seconds. This has been reproduced consistently, so it does not appear to be a general bandwidth or Dropbox issue. Please escalate this to the network/IPv6 team and check IPv6 routing, packet loss, MTU/PMTUD and provisioning on my connection.

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  Sridhar Katakam (@srikat) reported 48 minutes ago

  @YannDecoopman How about putting the vault in Dropbox? Same problem as syncing with iCloud?

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  Mansi 👩‍💻 (@MansiCodez) reported 52 minutes ago

  Solution of yesterday’s question: Design Google Photos: the part after the boxes “Hash it and put it in S3” fails the interview. Two phones compress the same sunset differently. Same photo. Two hashes. Two rows. You just built a worse Dropbox. The system needs three IDs, not one. client_upload_id — generated on the device before the first byte moves content_hash — hash of the exact bytes you received asset_id — the thing the user sees in the library Uploads are sessions. Library entries are assets. Blobs are renditions. If you collapse those into one key, retries, edits, and shared albums all collide. 1. Retries must be idempotent on the client, not on the filename Phone goes offline mid-flight with 612 shots, 40 already half-uploaded. Each photo gets a client_upload_id the moment it enters the queue. Chunks are uploaded against that ID. Commit is PUT /uploads/{id}/complete. Same ID + same bytes → same session. Server returns the existing asset. Late packet after commit is a no-op. Filename + timestamp is not an ID. Camera roll and AirDrop will mint two. 2. Exact dupes are content-addressed. Near-dupes are reconciled. After commit: look up sha256(bytes) if it already exists for that user (or the shared album’s owner set), attach the new upload to the existing asset_id do not create a second photo The 28 shared “Goa 2026” shots that are almost-but-not-quite the library copies will miss on sha256. That is expected. Run a cheap perceptual hash (pHash / dHash) + capture time + camera model from EXIF. If distance is tiny and captured within a few seconds, mark as near_duplicate_of and do not show two tiles. Keep both blobs if you must; hide one in the UI. Two devices, two compressions, one photo in the grid. 3. The library is a set of assets + tombstones. Not last-write-wins. Delete in Delhi must beat a pending upload in Mumbai. Every mutation carries: asset_id op: upsert | delete | restore actor_id (device or user) logical_ts (per-actor Lamport or hybrid logical clock) A deleted asset gets a tombstone that outlives the pending queue. When the flight-mode phone finally flushes those 40 half-uploads, the server sees: upload commit for an asset that already has a newer delete → commit the blob if you want, do not resurrect the tile. Refresh in Mumbai cannot show a photo Delhi just deleted, because the change feed is “tombstone wins over delayed create,” not “whoever wrote last.” 4. Shared albums are references, not copies Partner adds 28 photos to Goa 2026. The album stores {asset_id, added_by, added_ts} — not a second blob, not a second library row. Adds and removes are a small CRDT: add(asset, actor, ts) remove(asset, actor, ts) Two devices adding the same asset = one membership row. Phone sync finishing a second later cannot wipe the partner’s 28 photos, because there is no “replace the whole album document.” Last-write-wins on the album JSON is how photos vanish. 5. An edit is a new rendition, not a new photo and not an overwrite User crops + filters while the original is still processing. Rules: original blob is immutable edit creates rendition_id with parent_asset_id library still shows one asset “current view” pointer moves to the latest rendition history is a list of renditions / edit ops, not 12 full-resolution copies by default If you overwrite the original, face clustering and search lose their source. If you mint a new asset, the user now has original + edit as two photos. Both are wrong. Storage stays sane because you store: original (once) derived thumbs / display sizes lazily, keyed by asset_id + transform not every intermediate crop as a first-class photo 6. Upload path and ML path must not share a lock “Beach sunset with Priya” in minutes, not overnight, also not on the upload critical path. Commit path only: durable bytes asset row appear in library + album enqueue jobs Workers (thumbs, embeddings, face cluster, labels) are async. Search index is eventually consistent. The UI can show the photo immediately with “processing” on faces. If clustering blocks upload, you built a spinner, not Photos. Face identity hangs off asset_id, so an edit does not orphan Priya. The new rendition inherits the parent’s cluster and gets re-checked, not reset. 7. Sync is a checkpoint + change feed, not “download the library” Each device stores last_applied_ts. Server gives a stream: new assets, new renditions, album membership, tombstones. That is how 62,000 existing photos plus 612 offline shots plus 28 shared adds converge without a full rescan, and why a deleted photo does not climb out of another device’s queue. The one-line design Client-generated upload IDs stop retries from cloning. Content hashes stop exact clones. Perceptual reconcile stops “same sunset, different JPEG.” Tombstones stop resurrection. Album CRDTs stop last-write-wins from deleting the partner’s night. Edits are renditions under one asset. ML is a consumer of commit, never part of it. Boxes for S3, CDN, Kafka, Redis are table stakes. This is the part that decides whether you designed Google Photos or a photo-shaped file dump.

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  Christopher Doyle (@djfunboy) reported 53 minutes ago

  @iamlukethedev CLI updates changed the signed binary and dropped macOS permissions Dropbox/TCC made jobs work interactively but failed headless (this took some time to figure out) Claud auth refresh broke and continue to break despite multiple attempts and setup tokens. Agent confusing to use API vs subscriptions. Article jobs failed on missing configs, QA turn limits, and clunky validataion Digest existed but failed to pick up silent failures Some jobs reporting done while producing nothing, without a final artifact verification I am an experienced builder but also self/agent taught so these are mostly setup and validation issues. My bigger point is that these take work and especially the more complex tasks. I am still early and I have put more work than value created but I can see the light at the end of the tunnel.

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  Mikemira (@storiesbyohama) reported 59 minutes ago

  Twitter did not explode online first. It exploded in a hallway. In 2007, Twitter was still small. Most people online did not care. So the team did not try to shout at the whole internet. They went to SXSW. They put two big screens in the corridor. People at the event sent a text. That text showed up on the wall in front of everyone. One person posted. Ten people saw it. Then those ten posted too. That is how usage jumped. Not from a giant ad. From one room full of the right people. This is the growth lesson most founders miss. You do not need the whole market on day one. You need one place where your first users already stand. A campus. A conference. A WhatsApp group. A Discord. One street. One event. Dropbox did this on Hacker News. Tinder did this at campus parties. Airbnb did this when hotels ran out of rooms. If signups are slow, stop spraying ads everywhere. Find the one room. Make the product visible there. Let people watch other people use it. That is how early growth actually starts. I'm Miracle Ohama, a Growth Marketer helping B2B SaaS & tech companies find and fix revenue leaks across their funnel, I fix Growth Funnels & build real experiments that increase ARR.