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Reddit

Reddit Outage Map

The map below depicts the most recent cities worldwide where Reddit users have reported problems and outages. If you are having an issue with Reddit, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

Reddit users affected:

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Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
Melbourne, VIC 2
San Nicolás de los Garza, NLE 1
Ciudad Obregón, SON 1
Hyderabad, TG 1
Stuttgart, Baden-Württemberg 1
Bengaluru, KA 1
Paris, Île-de-France 2
Gustavo Adolfo Madero, CDMX 1
Nagpur, MH 1
Chhindwāra, MP 2
Douai, Hauts-de-France 1
Olathe, KS 1
Da Nang, Da Nang 1
Puteaux, Île-de-France 1
New Delhi, NCT 1
Vigo, Galicia 1
Phoenix, AZ 1
Lima, Lima 1
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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.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

  • SquashVash
    Shay. (@SquashVash) reported

    @manas_acharyya Issue with reddit is how quickly they ban you from subreddits, be sure to be respectful of the rules and ask a moderator before you post

  • TenebrisTehom
    Abyssal Ogre (@TenebrisTehom) reported

    @DrGoonth Women constantly start conversations, expecting praise and confirmation, but when they don't get it, they get confused, upset, and shut down. They genuinely think real life is like Reddit where anyone will get banned or hidden for saying anything they dislike.

  • bigwishwaster
    Embodiment of Useless White (@bigwishwaster) reported

    @AstelinaSoSilly Why do people base trans life reality on what influencers or tiktokers or reddit posts say and do? Does every group get to be judged by it's narcissists and creeps? Not really. We specifically get filtered down to ******* social media posts is the gospel.

  • jrxmey
    RØMEY 💙🧡🏆🗽 (@jrxmey) reported

    @ProperNewYorker @_J_S_M_860 I remember saying the exact thing on Jets Reddit and got down voted. It has to be a lot of Nets over there or something. The Knicks winning it all made a lot of NY based teams less stressful to root for, especially the bad ones

  • Lewis_Brackpool
    Lewis Brackpool (@Lewis_Brackpool) reported

    Tonight I was due to speak at an event hosted by friends of Restore Britain. Yesterday, a group of progressive Reddit users mobilised, lobbied Eventbrite to take the event down, and hysterically contacted the venue, spooking the staff. I planned to speak about our pledges, why Restore Britain is needed, our investigations unit, and how people can use the Freedom of Information Act. I’m sorry to those who bought tickets, your money will have been refunded. The organisers are already working to reschedule the event. This is the kind of behaviour we will keep facing until we turn the country around.

  • thomistgelasius
    Gelacio (@thomistgelasius) reported

    @m966021 @wooden6112 Your best "atheists" are clowns who thought the problem of evil was a condescending argument, that’s very reddit-like.

  • stillpointlab
    Stillpoint Lab (@stillpointlab) reported

    @matt503ea5sf9z5 I moved to a new computer and hadn't signed in to reddit, when I visit the front page you can't even scroll without a "you must sign in" popup. It might be done.

  • dimitarangg
    Dimitar Angelov (@dimitarangg) reported

    bad personalisation is WORSE than no personalisation on cold email **** like "hey {first_name}, love what you're doing at {company}!" is actively killing your reply rate let me explain the hierarchy: (9 out of 10 agencies i talk to get this backwards) tier 1: insanely good personalisation. referencing a specific reddit post the prospect wrote. naming their competitor's recent funding round. calling out a hiring pattern that implies a pipeline gap. this converts at 11%+ reply rates because the prospect genuinely believes you spent 5 minutes researching their business. tier 1 personalisation works PHENOMENALLY. tier 2: zero personalisation. direct message. no pretence of research. clean value prop. "booked 21 qualified calls in 30 days for a marketing agency. founder didn't touch a thing. interested in the breakdown?" this converts at 3-5% because the directness signals confidence and saves the prospect's time. tier 3: bad personalisation. generic compliment pulled from their linkedin headline. "noticed {company} is doing great things in {industry}!" this converts at 1-2% because the prospect KNOWS this was scraped from a CSV. the personalisation signals the OPPOSITE of what you intended. instead of "this person knows me," the prospect reads "this person used a tool to pretend they know me." deep down, the prospect recognises automated personalisation when the quality is ****. they've seen this pattern 100+ times. the fake personalisation erodes trust faster than no personalisation at all. the operational reality: the type of personalisation you deploy depends on what you're scraping. if you're pulling leads from reddit where each prospect posted a detailed description of their pain, personalise AGGRESSIVELY. tier 1 data deserves tier 1 messaging. if you're pulling from a standard apollo list where you have names, titles, and company data, skip the fake personalisation. write a direct message with a clean value prop and a specific case study. let the message-market fit do the selling. the founders booking 100+ calls/mo don't personalise every email. they find a message that resonates with a specific ICP, blast volume into an untapped database, discover which source responds best to that messaging, iterate to optimise each component, and then scale volume into what works. personalisation is a tactic. message-market fit at scale is the strategy. don't confuse the 2. DM me "INTENT" if you want to see which approach maps to your specific pipeline

  • kireimart
    Matt (@kireimart) reported

    Reddit mods (i say this as one) are crazyyyyy. What do you mean you'll instantly permanently ban someone if they ask in the subreddit if X message on tumblr is a scam? Me and others suggested that they set up automod to instantly take down posts with the word "scam"

  • Wachiko
    Machiko (@Wachiko) reported

    @capezera The karma farmers are gonna repost to Reddit regardless, id just ignore it and proper watermark and then actually double down on striking with little remorse/acknowledgment. Your original creatives are still protected work even if memes and X/Reddit will listen lol. I’ve done it to apex clip reposters in the past.

  • CaffeSatoshi
    Caffe' Satoshi (@CaffeSatoshi) reported

    The playbook for the next cycle is changing. CZ just dropped a bombshell: AI Agents aren't just coming for our jobs; they’re coming for our trading terminals. If AI processes data at the speed of light and executes trades 1,000x faster than a human, the "Retail Pump" we know is dead. The next bull run won't be driven by YouTube hype or Reddit threads. It will be driven by autonomous algorithms competing against each other in a zero-latency war. If you are waiting for "the old highs" to short, you are playing checkers while the bots are playing 4D chess. The next ATH won't be a celebration of human euphoria; it will be the mathematical conclusion of machine learning. WHAT COULD GO WRONG? (THE DARK SIDE) While the narrative is exciting, the implementation is terrifying. Here is why this "AI Bull Run" could turn into a cascading catastrophe: 1. The "Flash Crash" on Steroids When AI runs 1,000x faster, losses happen 1,000x faster. In traditional finance (2010 Flash Crash), a single algorithmic glitch wiped $1 trillion in minutes, but it recovered because humans hit the "pause" button. Crypto has no circuit breakers. 2. Homogeneous Training Data Most AI trading bots are trained on the same historical data (Price action, RSI, Fibonacci). If every bot sees the exact same "buy" signal at the exact same block height, the entire order book empties simultaneously. The pump becomes a vertical line; the dump becomes a black hole. 3. The "Gaming" of the Oracles If AI relies on on-chain data feeds (Oracles) to make decisions, a hacker doesn't need to break the AI. They just need to front-run the data. A single manipulated price feed (e.g., a fake BTC price on a secondary exchange) could trigger a mass liquidation cascade across all AI-managed portfolios. 4. Liquidity Evaporation If an AI detects a major macro event (like a war or Fed rate hike) faster than the other AIs, it will sell everything first. The speed of the exodus will be so fast that the order books simply won't have bids. You won't be "stopped out"; you'll be "gap-crashed" to zero. THE HISTORICAL PARALLEL: THE "Knight Capital" Effect in Crypto We have seen this movie before, and it ended in bankruptcy. The Parallel: Knight Capital Group (2012) Knight Capital was the largest market maker in US stocks. They deployed a new automated trading algorithm. Due to a coding error (not a market crash), the algorithm went rogue in 45 minutes. It executed millions of trades, blew through $460 million in capital, and the company collapsed and was sold off that same week. The Parallel: The "DeFi Summer" Liquidations (2021) When the market dropped in May 2021, automated arbitrage bots and leverage liquidators went haywire. Because they all triggered simultaneously, Bitcoin crashed from $58k to $30k in hours. Humans couldn't react because by the time the notification hit their phone, the position was already wiped out. The Convergence: Now combine the speed of Knight Capital with the unregulated leverage of DeFi, and put it in the hands of 10,000 competing AI agents. When the market goes "wrong" (and one day or another it always does), the AI doesn't panic, it executes the exit strategy perfectly. But if everyone's exit strategy is the same "Sell all if BTC drops below X," the AI doesn't cause a correction; it causes a vacuum collapse. Bull runs are fun until the machines decide the floor is lava. 🌋

  • SHREDDONKERS
    Jonah Boyar (@SHREDDONKERS) reported

    Is @Reddit down?! What’s going on?

  • antknee8
    AB (@antknee8) reported

    @FR3NKD Yeah complete nonsense. Reddit is terrible. The hardest part of any project is done on a white board anyways. That part is the part I’ve focused on more now that I don’t have to worry as much about syntax. AI is also more productive if you use it to automate the boring parts

  • clubunderscores
    underscores charts 🎧 (@clubunderscores) reported

    @Pwlscores sonnymoorefan77 is just her reddit @ that she used some time ago to answer fan questions 😭 and underscores being in debt is just a reference to point A & secondhand embarrassment is basically she said police thought they were filming a porno so the shoot got shut down

  • UndeadExo3
    Derelict Golem (Dexxo) (@UndeadExo3) reported

    @NotChillMurray I saw the update yesterday, alottapeepul on Reddit say their problems were fixed

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