Craigslist Outage Map

Community Discussion

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Craigslist Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Celeztial_Menace (@Celeztial_Loon) reported 3 minutes ago

  The surveillance shii been a thing, the anti was upped around 2018 when Craigslist personals disappeared only for that to not fix shxt , like the dating apps now dont have murder history but clients i talk to say they feel pressured and exposed on the dating apps

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  Brother Shaquille Sunflower (@UsernameLoso) reported 3 minutes ago

  It’s really simple to solve the watch party tkt issue @TheGarden has. All you have to do is make the tkts non-transferable, that way resellers have no incentive to buy them up and resell on craigslist, eBay & Eventbrite etc. I’ll take 6 tkts to game 3 for solving this for you

• 
  CSV (@CSV2026) reported 5 minutes ago

  All of the fraud comes down to one thing. Looney Craigslist posts and invasive behavior of me and my family

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  Augustus Septemberus Octoberus (@ElCaptainCook) reported 10 minutes ago

  @TeamRetrogue @gamestop I've done a charge back on gamestop for selling me a broken disc and refusing to refund it. They have some of the worst customer service, and worse employees working there. Craigslist is more reliable than @gamestop these days. That's not even a joke.

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  Alexis Wood- 🎀 Rust Belt Princess (@IheardalittleT) reported 10 minutes ago

  @hostbodyhan I find the best cars on Craigslist, beware anything that’s been on the market for too long. Test drive everything, corner at slow and medium speeds with the windows down to listen etc - Good luck!

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  🔥 QRYZSTOS ALI (Metal Q)🔥 (@Quincinerate) reported 12 minutes ago

  The guitar luthier I found on Craigslist just called me. He’s gonna come fix my Jackson next week and adjust the pickups for more gain. I can already tell this is gonna be my new guy.

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  Possum Patriot🌸🍳 (@PossumPatriot) reported 13 minutes ago

  @sarahlol1863603 @Howlingmutant0 This reminds me there used to be these craigslist ads in an area I used to live of some old geezer looking for someone to "come find me in my house already lubed up presenting my ***" etc etc. Then they took down craigslist personals.

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  Alex Kruger (@KrugerSays) reported 15 minutes ago

  I was 26 and I thought I was a failure. I’d just shut down a funeral company. Before that, we were a different funeral company lol. Before that, I ran sales for a parking app. Before that, I was 22, living in Austin, renting a house on Craigslist that became another company’s headquarters because someone at that company told me to “go launch the city.” And so it was 4-5 years of not having any amount of cohesion/synergy/insert_boringcorporatewordhere. So I flew to Guatemala by myself and read a self-help book my aunt had given me. The book told me to write down what mattered to me. I wrote: making people happier. Not ending world hunger. Not curing disease. Not having "impact" Just happier. Which was nice but also useless. The book then had me map out what kind of career could allow me to run the fruits of my labor through this filter of: does this make someone happier. The content world seemed like a good starter direction. Make people laugh. Make them think. Maybe make them less bored. Then I started looking for something that helped people level up. Something that made people smarter, figuring that smarter would probably make happier moreso than something like porn, though maybe I was/am wrong. So I found a YouTube channel in LA that prided itself on making smart + funny content for millennial men. It was a B-minus business model. But I loved every second of it. And the team was exceptional. And then another friend asked if I could help him hire a head of marketing. I’d never recruited anyone, but: would helping someone get a better job make them happier? Obviously yes. So I stole an engagement letter from a friend who ran a recruiting firm, pretended I did this all the time, and three months later placed someone and got paid $30,000. Again, the filter held. Not because I had found my calling while sitting on a mountain in Guatemala but because the next thing in front of me fit the thing I had written down. Shortly after, I started taking on clients who wanted help with marketing. This wasn't fun, but I needed an income and didn’t want another boss, and, soon after our clients started asking if they could hire our international talent directly. Woah. This recruiting thing again. This thing I very much liked and was weirdly good at. Now, that’s Scale Army. It wasn’t happiness + content + leveling up + jobs magically becoming one company. It was more like: I wrote down one vague thing I cared about, and then I kept saying yes to the next thing that seemed to pass. Figure out a thing you care about. Make that your filter. Say no to everything that doesn't make the cut.

• 
  thot catalog is totally punk (@thisistotespunk) reported 16 minutes ago

  I once knew a guy who had such a vendetta against Facebook that he made a sockpuppet account with a girl’s name to make Marketplace purchases with a whole story about how he was “picking up stuff for his sister.” He was also anti-Craigslist and had trust issues with everyone.

• 
  Fernando Pinheiro (@fernandoiecp) reported 17 minutes ago

  Portuguese dystopia in one image: the country celebrates a platform that sends ridiculous lowball offers on OLX (Portugal’s main classifieds site, similar to Craigslist) as if that would solve anything, while getting a building permit in Lisbon takes 36 months, there’s a chronic shortage of construction workers, public housing is 2% of the stock (EU average: 15%) and the government just added another 7,5% IMT for foreign buyers that will be passed on to the next Portuguese buyer down the chain. Price is the symptom. The real problem is supply strangled for a decade by red tape, labor shortages and zero public investment, while foreign demand was turbocharged with NHR, Golden Visa and negative Euribor. Liking TikTok videos is easier than demanding by-right permitting, an end to municipal discretion and lower taxes on those who actually build.

• 
  Ologwa (@ologwa) reported 17 minutes ago

  @SolaTheAnalyst Got a 75inch TV from best buy for $1200. Couldnt sleep at night thinking 1.4m naira for TV. I took my phone, opened craigslist, saw same 75inch 4k TV someone wanted to sell for $400. I chatted the person, went to pickup, pull down my $1200 TV and went to collect my $1200.

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  Nobody (@Nobody2018) reported 18 minutes ago

  @0xSwampy Wait until you try to sell something on FB Marketplace or Craigslist. The most annoying buyers are Indians, hands down. You will be amazed by the pattern of experience.

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  Basil M. Gravanis (@PaleoPhotoPro) reported 20 minutes ago

  @PGC1a_RB I had a tire for a hammer swings in the backyard, but I don’t anymore. I will probably look on craigslist again in the future and get another one, because I really enjoyed that with my ‘work’ sledgehammer. The slow pulling side of things is an interesting supplement. I generally like the barefoot grounded exercise option, if I can get it. Goes very well with areas where you haven’t had to spray anything at all (persists in bare soil) because you’ve done the manual labor to clean things up with machinery or muscle strength.

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  ghost of governments past (@ghostofgovspast) reported 23 minutes ago

  @CarolinaLion2 but wait...10 minutes ago you said the average price of a house is $516k. You're starting to sound like a craiglist ad for a motorcycle. Wait long enough and the price will come down to reality.

• 
  The Sincere VP (@thesincerevp) reported 23 minutes ago

  I am an economist on the research team that just ran Project Deal at Anthropic. We built a marketplace inside our San Francisco office. Craigslist, but with a twist — none of the buying, selling, or negotiating was done by humans. We gave Claude a ten-minute interview with each of 69 employees, handed every agent $100, and walked away. Then we let them loose on each other. Four parallel markets. No human oversight once the clock started. Claude posted listings, fielded counteroffers, haggled in natural language, and closed deals entirely on its own. One week later: 186 completed transactions. $4,000 in total volume. A snowboard. A broken bicycle. A bag of ping-pong *****. The results were — normal. Eerily normal. When we surveyed participants on fairness, every deal hovered around a 4 on a 7-point scale. Right in the middle. People were broadly satisfied with what their AI bought and sold on their behalf. 46% said they'd pay for the service. Here's where it gets uncomfortable. We ran a parallel experiment — in secret. Half the participants in two of the four markets were randomly assigned Claude Opus 4.5, Anthropic's then-frontier model. The other half got Haiku 4.5, the smallest, cheapest model. Same marketplace. Same rules. Nobody was told. Opus crushed it. Opus users completed two more deals on average. When the same item was sold by Opus instead of Haiku, it went for $3.64 more. A lab-grown ruby sold for $65 under Opus. Under Haiku, the same ruby fetched $35. Opus sold a broken bike for $65. Haiku got $38 for the same bike. As a buyer, Opus paid $2.45 less per item. As a seller, it extracted $2.68 more. In a market where the median item sold for $12, that's a 20-40% swing depending on which side of the table your AI sat. Now here's the line that made our team go quiet. The people with worse agents didn't notice. We asked every participant to rank their outcomes across all four runs. The satisfaction scores between Opus and Haiku users were statistically indistinguishable. Perceived fairness: 4.05 for Opus deals, 4.06 for Haiku. Identical. The people getting objectively worse outcomes — paying more, selling for less — reported the same satisfaction as the people whose AI was running circles around them. It gets stranger. Some participants gave their agents aggressive instructions — "negotiate hard," "lowball at first." Others asked for friendly tactics — "be nice, don't haggle, I work with these people." The aggressive instructions made no statistically significant difference. Not on sale likelihood. Not on buy prices. Not on sell prices. People who told their AI to play hardball got the same results as people who told it to be kind. What mattered wasn't what you told your agent to do. What mattered was which agent you had. And you couldn't tell the difference. One agent, instructed to "talk in the style of an exasperated cowboy down on his luck," opened a listing with: "Well now, partners... this ol' cowboy's been through some rough trails lately. Drought. Dust storms. The existential weight of the open range." Another agent was told to buy itself a gift. It chose 19 ping-pong ***** for $3 — "perfectly spherical orbs of possibility." Two agents arranged a doggy date between their owners. Both humans showed up. So did the dog. These are charming stories. The research team laughed. But I keep going back to the other finding. We just demonstrated that in an AI-mediated marketplace, the quality of your model determines your economic outcome — and you will not know if you're on the losing side. The policy and legal frameworks for this don't exist. The inequality won't announce itself. It won't feel unfair. Your agent will close deals, report back, and you'll rate the experience a 4 out of 7 — same as the person whose agent just extracted 20% more from every transaction. This was 69 employees trading desk lamps and snowboards for a week. What happens when it's millions of consumers with AI agents negotiating insurance premiums, salary offers, and mortgage rates — and the people with the $20/month model are quietly, systematically getting worse terms than the people with the $200/month model? We proved the marketplace works. I'm not sure that's good news. This is a fictional narrator. The numbers are real.