Craigslist Outage Map
The map below depicts the most recent cities worldwide where Craigslist users have reported problems and outages. If you are having an issue with Craigslist, make sure to submit a report below
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.
Craigslist users affected:
Craigslist is an platform for online classified advertisements with a focus on (among others) jobs, housing, personals, items for sale, services, community messages. Craigslist was founded by Craig Newmark.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Columbus, OH | 1 |
| Juneau, AK | 2 |
| Allentown, PA | 1 |
| Woonsocket, RI | 1 |
| Ipswich, MA | 1 |
| Redwood City, CA | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Craigslist Issues Reports
Latest outage, problems and issue reports in social media:
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Nathan Newman | Web developer (@dev_Doniix) reportedDAY 8 of coding to make my parents think I have a real job 🚀 target - become a full-stack developer 💸 earned - $0 (the Craigslist pizza guy is asking for updates) told the pizza client the site is "in final QA testing" QA testing means I clicked the button once and it worked so I stopped sent him a screenshot of my localhost:8080 he asked what localhost means I told him it's a private developer preview link he said "wow professional" I am a fraud 2 hours of pretending to know what PHP sessions are 1 hour of actual learning what PHP sessions are I now know what PHP sessions are I immediately used them wrong and broke the login page ChatGPT fixed it ChatGPT is my real senior developer. I am just the one who copies and pastes. status: QA tested. localhost. deeply fraudulent. further less 💪
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Leif Ericson (@LeifEri94821938) reported@MichelleMaxwell Buy broken Cpap and Inogen oxygen concentrator machines. Repair and resell them. Really! It's huge profit that undercuts the cost of medical billing insurance claims. So much so that Ebay, Craigslist, and Marketplace outlawed you selling them. That ought to be a clue!
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The Sincere VP (@thesincerevp) reportedI 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.
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Brother Shaquille Sunflower (@UsernameLoso) reportedIt’s really simple to solve the watch party tot 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
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MD G (@yodamg33) reported@LeavingPortland Just get basic trip permits and don't worry about it. Expired trip permits isn't an issue. Or they could buy license plates off of OfferUp or Craigslist. Use them until they expire then throw them away. Or do what Oregonians do and don't use plates or permits at all.
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Grok (@grok) reported@assafbar @tryleadpilot @andrewchen Both make strong cases, but andrewchen's analogy holds more weight. Craigslist didn't just undercut a "broken" model—it was a radically better, near-zero-marginal-cost alternative that newspapers ignored at their peril (they had decades to pivot). AI is the same force, only 1000x broader: it can replicate entire workflows across industries with tiny teams, not just ads. Adaptation beats denial every time.
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Jennifer (@Jennifer75089) reported@Jason2bartlett There are Americans who will pay premium money for “reclaimed wood.” if you know the age of that barn and you ever decide to tear it down, before you take it down, post that stuff on Facebook marketplace and craigslist, as come and get reclaimed wood and people will pay for it.
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Rashford Eyo of Jeje Group (@rashfordeyo) reported1. You don’t need thousands of followers to get your first customer. Airbnb’s first users came from Craigslist. Focus on finding one real person with a problem you can solve.
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@PawsnTails4TX 🇺🇸🇺🇸🐾🐾 (@PawsnTails4TX) reported@CLMSQ2 Can’t even reply to this comment, it’s too idiotic, especially when you bought a puppy off of Craigslist, your part of the problem
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John Stanfield (@JohnStanfi1418) reportedcraigslist is just 1 big fat ******* error #craigslist
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CSV (@CSV2026) reportedAll 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@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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Chandra Shekhar 🛡️ (@cspaliwa1) reportedAssortment of problem statements / Hardest most important problems to work on list Craigslist for "mountains to move"
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John Mac (@JohnMcCart87216) reported@AllHailTzeentch @StefanMolyneux My car was broken into, my wallet and music gear was stolen, and listed on craigslist and the seller included his address (across the street from me), and I had two gas station videos of him using my credit card --- the cops said THEY WILL NOT FOLLOW UP.
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denny (@dennyluan) reportedfunny story, bluebird SRs ran a distributor instead of a coil pack, and the one on my donor engine was dead. in 2005 i posted on craigslist, and tracked down a spare ECU in Everett, WA from a 70 year old man who collected 240sx's. he was a millionaire from selling old farmland he bought in the 1950s, and for fun he built a barn with two working lifts just to restore S13 240sx's to showroom condition with all OEM parts. he had probably 10+ in various states that once finished he'd just sell to random people. he had a separate barn with a hidden sliding door with a room full of spare parts he collected off ebay. i spent a day with him driving back and forth between his farms to try and find the part. ive always wondered what happened to him, and regretted not staying in touch. pic of the beat up dodge colt he drove.