Amazon status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon 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 Amazon users through our website.

• Website Down (48%)
• Errors (28%)
• Sign in (24%)

Live Outage Map

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

City	Problem Type	Report Time
Chihuahua	Website Down	2 hours ago
Benito Juarez	Sign in	1 day ago
Piscataway	Errors	2 days ago
Rices Landing	Sign in	2 days ago
Salt Lake City	Errors	3 days ago
Lake Butler	Website Down	4 days 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.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  (Light Bringer) + (Black in German) (@CosmicInglewood) reported 2 minutes ago

  One night, scarfing down salted Carmels by the bag, from Amazon, in secret, stating up late reading wikipedia looking for critical information Mental Fog hit like wall, WTF, it was like my brain clogged up suddenly, it was 3am, oh ****, I have to work tomorrow, to bed, sweating

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  Streetcleaner (@LaskaTomasz) reported 5 minutes ago

  @tomo9000p Apple UP Amazon Down 😎

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  Jonathan Kenneth (@Jonathaxxc) reported 10 minutes ago

  @AmazonHelp @amazonIN @amazon I’m having problems with my gift card What can I do

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  NeanderthalRich (@NeanderRich) reported 13 minutes ago

  The Real Anthony Fauci became the #1 non-fiction hardcover bestseller despite being the most censored book of the decade. Bookstores, including national chains, refused to carry it. Libraries refused to carry it. Every major newspaper declined to review it. The New York Times refused to publish a paid advertisement for the book and made it #7 on its bestseller list, even though it outsold any other book by thousands of copies. YouTube took down videos of a book signing. Amazon shadow banned it. Twitter wouldn’t let the publisher promote it. Despite all of that, 1.4 million Americans bought the book because they were tired of the lies and they wanted their freedom back. Then today, with hundreds of millions of Americans demanding the truth, Fauci invoked the Fifth Amendment 111 times at his Senate hearing. The American people waited six years for answers. Today, they got silence. But that silence told us all we needed to know. Thank you, Senator Rand Paul, for your relentless pursuit of truth, transparency, and accountability. 🇺🇸 Robert F Kennedy Jr

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  Droo (@drdroo) reported 24 minutes ago

  @NRSmaine @TheMaineWire I do think that empowering pharmacists to handle basic situations like this is a pretty good idea. They often know more about drugs than a regular doctor does. I refilled a prescription using Amazon Clinic, which is a combination of AI and a human review, and it was free, as well as the prescription for 90 days was cheap and overnight shipped from AZ. Sure, we want some degree of oversight just in case there's some potential problems, but a lot of these things are relatively simple, like with antibiotics (some PCPs may even prescribe them over the phone without a visit). Going to a walk-in/ER might just be a way to get more sick or get more people sick.

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  Sootie K (@sootiekay) reported 26 minutes ago

  @amazon I don’t appreciate you adding extra things to an order and charging them to me. When I saw this item that I did not order, I tried to cancel it and the website tells me to return it. I’ve had a stroke so I don’t drive. I’m not walking down 3 flights of stairs.

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  __ROTE__ (@_ROTE_) reported 30 minutes ago

  @AFineBlogger @nyc_evsa @SpeakerMenin Yep- there are e-bikes out there that can do 80mph. But interestingly enough, Amazon will no longer ship wheel/hub assemblies to NYC (even the slow, pedal-assist ones)

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  Sidharth kumar (@Sidhart60408097) reported 30 minutes ago

  @6SigmaFreak Unfair! Identical dimensions, yet $9 extra. Amazon must fix these billing errors now.

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  Richard (@RJRogers103) reported 31 minutes ago

  @amazon Then get on chat, as per usual everyone is from India, 2 agents end chat because they dont want to deal with the issue, I am going to @Walmart , at least when they say something will be delivered, it gets delivered.

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  SarlaccFood 🥶 (@ReturnIntoXero) reported 31 minutes ago

  Do Not Enter on Amazon Prime. More accurately, DO NOT WATCH. It was terrible. Low effort, low quality, low talent. I have no idea how this is in the top 10. Visuals so bad they look like budget AI, I can’t imagine someone put the effort to make CGI that bad.

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  TheValueist (@TheValueist) reported 35 minutes ago

  SEMICONDUCTOR MANUFACTURING AND SUPPLY CHAIN ARM’S SUPPLY CONSTRAINTS CONFIRM STRONG ADVANCED-NODE WAFER, SUBSTRATE AND TEST DEMAND (READ-THROUGH 6) AFFECTED COMPANIES AND IMPACT: Taiwan Semiconductor Manufacturing Company (TSM: Taiwan) — positive, medium magnitude. ASE Technology Holding (ASX: Taiwan) — positive, low-to-medium magnitude as an advanced packaging and test industry beneficiary; no direct Arm supplier relationship was disclosed. Amkor Technology (AMKR: US) — positive, low-to-medium magnitude as an advanced packaging and test industry beneficiary; no direct Arm supplier relationship was disclosed. CALL EVIDENCE: Rene Haas described the supply environment as “very, very, very tight” across memory, test equipment, substrates and “TSMC wafers.” Arm has secured the capacity required for the initial $1 billion AGI CPU opportunity and has increased confidence in securing additional supply. Management stated that no single component represents a final “golden screw” risk and expects wafer and memory capacity to expand substantially in calendar 2028 and 2029, with cited industry estimates of approximately 70%-100% capacity growth depending on the component and supplier. ANALYSIS AND TRANSMISSION MECHANISM: The explicit reference to TSMC wafers provides a direct positive read-through for TSMC. Arm is becoming a new merchant-silicon customer with demand materially above its currently secured supply. This adds incremental advanced-node CPU demand on top of existing accelerator, custom ASIC, smartphone and high-performance-compute requirements. The financial magnitude for TSMC is unlikely to be large immediately because $1-$2 billion of finished CPU revenue represents only a fraction of TSMC’s total customer base and includes non-wafer costs. The strategic relevance is greater than the initial revenue contribution. Arm’s pipeline supports the view that AI-related advanced-node demand is diversifying beyond a small set of accelerator vendors. This broadening can sustain high utilization and pricing even if individual accelerator programs fluctuate. The reference to substrate and test constraints is also supportive for the advanced packaging and outsourced semiconductor assembly and test ecosystem. High-core-count CPUs require increasingly complex packaging, validation and thermal-management processes. Arm’s statement that supply security improved across wafers, substrates, testing and memory indicates that commercial readiness depends on coordinated capacity across the entire manufacturing chain, not merely foundry wafers. Arm’s move from IP licensing into physical product shipments also creates a structurally different demand pattern. The company will now reserve wafers, packaging and test capacity directly rather than relying solely on its licensees to do so. This adds another high-performance-compute customer to the supply chain. NEAR-TERM TRADING CATALYST: Confirmation that Arm has secured capacity materially above the initial $1 billion opportunity would support incremental demand assumptions for TSMC and the packaging ecosystem. The impact is more likely to appear through utilization, pricing and backlog commentary than as a separately identifiable revenue line. LONGER-DURATION FUNDAMENTAL SHIFT: Management expects meaningful capacity expansion in 2028 and 2029. This supports a multi-year capital-investment cycle across foundry, memory, substrate and test infrastructure. The principal risk is that substantial capacity additions eventually reduce scarcity and pricing power, but the current call indicates that demand is presently constrained by supply rather than end-customer interest. MEMORY PRICING POWER IS STRONG ENOUGH TO DAMAGE HANDSET DEMAND, CREATING A POSITIVE NEAR-TERM BUT SELF-LIMITING MEMORY CYCLE SIGNAL (READ-THROUGH 7) AFFECTED COMPANIES AND IMPACT: Micron Technology (MU: US) — positive, medium-high near-term magnitude; mixed longer-term. SK hynix (000660: South Korea) — positive, medium-high near-term magnitude; mixed longer-term. Samsung Electronics (005930: South Korea) — positive, medium near-term magnitude in memory; partially offset by negative handset exposure. CALL EVIDENCE: Arm attributed declining smartphone sales to higher memory prices. Management stated that the impact was initially expected to be concentrated in the low end but is now affecting “all parts of the market, even some upper and mid-tier.” Memory is also one of the supply constraints limiting Arm’s ability to convert more than $1 billion of AGI CPU demand. Management expects memory capacity to expand materially in later years. ANALYSIS AND TRANSMISSION MECHANISM: Arm’s commentary is a strong demand-side confirmation of memory pricing power. Memory cost increases are sufficiently large that handset manufacturers are raising device prices, absorbing lower margins, reducing configurations or experiencing weaker unit demand. This supports higher memory average selling prices and gross margins for Micron, SK hynix and Samsung in the near term. The AGI CPU commentary adds a second source of support. Memory is not only constraining consumer-device economics; it is also limiting AI CPU shipments. This indicates simultaneous tightness across both edge and data-center markets. The combination improves near-term supplier pricing power and allocation leverage. The signal is not unambiguously positive over a longer horizon. Memory price increases are producing visible demand destruction in smartphones. Once component inflation causes end-product volumes to decline, bit-demand growth can slow and customers may reduce inventory or redesign products to use less memory. Arm also expects substantial capacity expansion in 2028 and 2029, which could eventually reduce scarcity. Samsung has a particularly mixed exposure. Its semiconductor division benefits from memory pricing, but its handset business faces the same bill-of-material inflation and consumer demand elasticity described by Arm. The consolidated effect will depend on the magnitude of memory margin expansion relative to smartphone unit and margin pressure. NEAR-TERM TRADING CATALYST: Memory supplier pricing, gross-margin and capacity-utilization guidance should remain constructive while AI demand and constrained supply persist. Handset OEM order reductions would not immediately invalidate the positive memory pricing signal but would indicate that the cycle is approaching an elasticity ceiling. LONGER-DURATION FUNDAMENTAL SHIFT: AI infrastructure is increasing the strategic importance of memory capacity, but aggressive capacity additions and customer demand destruction make the cycle self-limiting. The most favorable period for memory suppliers is likely the phase in which pricing remains elevated while AI demand offsets weakening consumer volumes. SMARTPHONES AND EDGE COMPUTE SMARTPHONE WEAKNESS HAS BROADENED INTO MID-TIER AND PREMIUM DEVICES, CREATING NEGATIVE READ-THROUGHS FOR OEMS AND UNIT-DRIVEN COMPONENT SUPPLIERS (READ-THROUGH 8) AFFECTED COMPANIES AND IMPACT: Apple Inc. (AAPL: US) — negative, low-to-medium magnitude. Samsung Electronics (005930: South Korea) — negative, medium magnitude in handsets. Xiaomi Corporation (1810: China) — negative, medium-high magnitude. Qualcomm Incorporated (QCOM: US) — negative, medium magnitude near term. MediaTek Inc. (2454: Taiwan) — negative, medium-high magnitude. Skyworks Solutions (SWKS: US) — negative, medium magnitude. Qorvo Inc. (QRVO: US) — negative, medium magnitude. CALL EVIDENCE: Management stated that the smartphone market is projected to decline at a double-digit rate. The deterioration is now affecting upper-tier and mid-tier devices rather than remaining concentrated at the low end. Arm reduced its informal FY2027 royalty-growth expectation from approximately 20% to the high teens and guided Q2 royalty growth to 13%. Management expects royalties to decline sequentially in Q2 despite continued strength in cloud AI. The weakness was attributed principally to higher memory prices. ANALYSIS AND TRANSMISSION MECHANISM: The broadening from low-end to mid-tier and premium devices is the most important incremental negative signal. Low-end smartphone weakness can often be attributed to emerging-market affordability and lower-value inventory adjustments. Weakness in mid-tier and premium devices indicates that component inflation and consumer elasticity are affecting more profitable categories. Apple receives a lower-magnitude negative read-through because its installed base, ecosystem retention and premium positioning provide greater pricing resilience. However, Arm explicitly stated that upper-tier demand is now being affected, indicating that premium devices are no longer fully insulated. Apple could face slower unit growth, greater use of promotions or pressure to absorb some memory-cost inflation. Samsung and Xiaomi face greater combined volume and margin sensitivity because they compete across multiple price tiers. Raising handset prices can preserve hardware gross margin but weaken units; absorbing memory inflation can support volumes but reduce profitability. The likely outcome is a mix of lower units, selective price increases and configuration changes. Qualcomm and MediaTek are paid primarily through chipset content and therefore remain sensitive to handset units even when Arm’s royalty revenue is protected by higher architecture rates. Skyworks and Qorvo face similar unit sensitivity through radio-frequency content. The extension of weakness into premium devices is particularly relevant for RF suppliers because high-end smartphones typically contain greater RF complexity and dollar content. The critical analytical distinction is that Arm’s smartphone royalties can increase while smartphone units decline. Armv9 and compute-subsystem penetration raise royalty revenue per device, offsetting volume weakness. Most component suppliers do not have the same degree of contractual royalty-rate uplift. Investors should therefore not use Arm’s double-digit smartphone royalty growth as evidence that handset demand is healthy. NEAR-TERM TRADING CATALYST: The next 2 quarters of smartphone OEM, application-processor and RF supplier guidance are likely to determine whether the current weakness is a temporary memory-driven correction or a broader consumer-demand problem. Premium-device sell-through, channel inventory and OEM pricing actions will be particularly important. LONGER-DURATION FUNDAMENTAL SHIFT: Management expects royalty growth to return to approximately 20% next year and beyond as smartphone comparisons normalize and cloud AI continues to grow. The current weakness therefore appears cyclical rather than a structural decline in smartphone compute content. The structural trend remains positive for Arm content per device but negative for suppliers whose economics depend more directly on unit growth. AUTOMOTIVE, ROBOTICS AND PHYSICAL AI PHYSICAL AI IS BECOMING A MEASURABLE ARM ROYALTY DRIVER, SUPPORTING HIGHER COMPUTE CONTENT IN VEHICLES AND AUTONOMOUS MACHINES (READ-THROUGH 9) AFFECTED COMPANIES AND IMPACT: NVIDIA Corporation (NVDA: US) — positive, medium magnitude. Qualcomm Incorporated (QCOM: US) — positive, medium longer-duration magnitude. NXP Semiconductors (NXPI: Netherlands) — positive, low-to-medium longer-duration magnitude. No direct NXP customer relationship was disclosed on the call. CALL EVIDENCE: Arm stated that physical AI made a “strong contribution” to royalty growth, supported by continued secular expansion of advanced driver-assistance systems and autonomous systems using Arm technology. Arm also signed high-value agreements with automotive and robotics customers. NVIDIA expanded its physical-AI platform through Cosmos 3 and the Isaac GR00T humanoid robotics platform, with Jetson Thor combining an Arm CPU and Blackwell GPU. Arm’s software ecosystem now supports more than 22 million developers. ANALYSIS AND TRANSMISSION MECHANISM: The physical-AI commentary is more significant than a generic total-addressable-market claim because management stated that the segment is already making a strong contribution to royalty growth. Vehicles, robots and autonomous machines require local, real-time processing with strict power, latency, safety and security constraints. These requirements align closely with Arm’s historical strengths. NVIDIA is the clearest direct beneficiary. Jetson Thor combines Arm CPU processing with Blackwell acceleration, allowing NVIDIA to extend its AI platform into robotics and autonomous systems. A common architecture across data-center training, edge inference and robotics can improve software portability and accelerate customer adoption. Qualcomm benefits through automotive and edge-compute platforms that use Arm architecture. The longer-duration opportunity is increasing compute content per vehicle as infotainment, connectivity, driver assistance and autonomous functions consolidate into higher-value platforms. NXP benefits more indirectly through broader automotive and industrial compute growth, although the call did not identify NXP as a specific customer or program participant. Arm’s 22 million-developer ecosystem is strategically important. Physical-AI adoption depends on software tooling, libraries and application portability as much as processor performance. A large common developer base reduces fragmentation and improves the probability that Arm remains the default CPU architecture across multiple device categories. NEAR-TERM TRADING CATALYST: The financial effect is unlikely to be a major near-term earnings catalyst because Arm did not quantify physical-AI royalty revenue. Product launches, automotive design wins and robotics deployments are more likely to generate gradual estimate revisions than a discrete quarterly inflection. LONGER-DURATION FUNDAMENTAL SHIFT: Compute content per vehicle, robot and autonomous machine is increasing structurally. Arm’s architecture position allows it to participate regardless of whether the winning system vendor is NVIDIA, Qualcomm, an automotive semiconductor supplier or a customer-designed platform. The strongest beneficiaries will be vendors capable of combining silicon, software, safety and long-term support rather than vendors offering isolated components. EDA AND SEMICONDUCTOR DESIGN TOOLS ARM’S Q1 TOOL-SPENDING UNDERRUN REFLECTS TIMING RATHER THAN WEAKNESS IN ENGINEERING OR FUTURE TAPE-OUT ACTIVITY (READ-THROUGH 10) AFFECTED COMPANIES AND IMPACT: Synopsys Inc. (SNPS: US) — neutral near term, positive low-to-medium longer-term magnitude. Cadence Design Systems Inc. (CDNS: US) — neutral near term, positive low-to-medium longer-term magnitude. CALL EVIDENCE: Arm’s non-GAAP operating expenses were $27 million below guidance because emulation, cloud and engineering-tool utilization was lower than forecast. Management stated that employee and developer costs were broadly in line, the full-year spending plan remains largely unchanged, Q1 savings can be retained, and total operating expenses should increase by approximately a mid-single-digit percentage sequentially. Arm continues to expand engineering investment in next-generation architectures, compute subsystems and the AGI CPU family. ANALYSIS AND TRANSMISSION MECHANISM: The quarter should not be interpreted as evidence of weaker EDA or semiconductor-design demand. The underspend occurred in utilization-based tools and cloud resources rather than engineering headcount. Tool usage fluctuates with verification, emulation, design changes and product milestones, producing quarterly timing variance even when the full-year development program remains intact. Arm is increasing the number and complexity of products it develops. The company is simultaneously advancing CPU architectures, compute subsystems and complete merchant silicon. This requires more verification, simulation, emulation, physical design and software validation. The move from licensing IP to shipping complete processors should increase design-tool intensity because Arm assumes responsibility for a larger portion of the implementation and manufacturing process. The direct revenue impact on Synopsys and Cadence from a single customer is limited. The more important read-through is that Arm’s reduced Q1 utilization does not represent project cancellation or engineering retrenchment. Management expects spending to resume sequential growth and indicated that forecast variance should narrow as the company gains experience with the cadence of complete-chip development. NEAR-TERM TRADING CATALYST: Q1 may create a modest timing headwind for tool utilization, but management’s unchanged annual plan and expected sequential OpEx growth support catch-up rather than cancellation. The near-term read-through is therefore neutral rather than negative. LONGER-DURATION FUNDAMENTAL SHIFT: The semiconductor industry’s shift toward custom AI processors, compute subsystems and heterogeneous systems increases design complexity. Arm’s expansion into merchant silicon reinforces durable demand for EDA, verification and emulation tools. Synopsys and Cadence remain positioned to benefit from higher design intensity even when individual customer utilization varies quarter to quarter. PORTFOLIO CONCLUSION The most actionable positive signal is that Arm-based data-center CPU adoption is accelerating across multiple independent customers and workload types. This supports Amazon, Alphabet and Microsoft through improved infrastructure economics, supports NVIDIA through tighter CPU-GPU platform integration, and supports networking vendors because the AI investment cycle is broadening into DPUs and SmartNICs. TSMC and the packaging ecosystem benefit from constrained supply, while memory suppliers benefit from pricing power and AI-related demand. The most actionable negative signal is that x86 architecture share pressure is becoming measurable. Intel faces the largest structural risk, while AMD’s exposure is partially mitigated by x86 share gains, accelerators and networking assets. The CPU market can expand materially while x86 vendors capture a declining percentage of that growth. The second major negative signal is that smartphone weakness is no longer confined to low-end devices. Memory inflation is affecting mid-tier and premium demand, creating unit and margin pressure for handset OEMs, application-processor vendors and RF suppliers. Arm’s higher royalty rate per device obscures the severity of the underlying unit contraction. The most important non-consensus implication is the emerging channel conflict created by Arm’s AGI CPU. Arm is no longer solely the neutral architecture provider enabling Qualcomm, NVIDIA, hyperscalers and other licensees. It is becoming a direct merchant CPU competitor. This expands customer choice and increases Arm’s addressable market but may cap the CPU economics available to some licensees. The critical near-term catalyst is Arm’s Q3 update on AGI CPU supply-supported revenue and gross margins. A quantified increase materially above the initial $1 billion opportunity would strengthen the read-through for TSMC and AI infrastructure customers while increasing competitive pressure on x86 and other Arm-based merchant CPUs. Failure to convert the >$2 billion demand pipeline into secured supply and firm orders would weaken the merchant-silicon thesis without changing the more established positive read-through from Arm’s accelerating data-center royalty growth. SOURCE MATERIAL Arm Holdings PLC Q1 FY2027 initial draft earnings call transcript.

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  Shraddha (@penguica) reported 37 minutes ago

  @AmazonHelp Please give me the ticket for this issue

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  Kunal Shah 🗽 (@realKunalAShah) reported 39 minutes ago

  I don’t think Microsoft or Amazon will need to issue equity. And I think Zuck will likely cut workforce and allow expanded ad revenues - and will recycle all that money. They still don’t have clear demand signals vs Microsoft or Amazon - but they are basically playing for optionality- so they won’t be out of the race if their internal AI systems kick off

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  Saurabh Jha (@Saurabh92185596) reported 40 minutes ago

  @AmazonHelp Why did not resolve this issue yet? Why is it taking so long?

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  idle (@idleggs) reported 42 minutes ago

  most people getting into AI avatars don't understand how they actually get paid. here's the full breakdown of how a 60-second video turns into $80+ per sale. the flow looks like this: you post a video of an AI character promoting a health supplement. the character mentions it's on Amazon. at the end of the video, the viewer goes to the link in your bio. that link is an Amazon Associates affiliate link with a tracking ID. the tracking ID tells Amazon exactly which page, which platform, and which creator sent that customer. when the customer clicks your link, Amazon applies a cookie. that cookie lasts 24-48 hours. during that window, anything the customer buys on Amazon earns you 1-3% commission. not just the product you promoted. everything in their cart. one creator showed $60,000 in total Amazon revenue tracked through his links in a single month. at 1-3%, that's $600-$1,800 in Associates commissions alone. but that's the small money. the real money comes from brand commissions on top of Associates. here's how it works. you sign up with an Amazon brand through an agency or community that connects creators with brands. the brand gives you a specific tracking ID for their product. you generate a custom affiliate link using that tracking ID. when someone clicks your link and buys the product, Amazon Associates tracks the sale. you send that data to the brand. the brand pays you 100-300% commission on every tracked sale. a $40 supplement at 200% commission = $80 per sale. a $40 supplement at 300% commission = $120 per sale. why would a brand pay more than the product costs? spillover. for every 1 person who clicks your affiliate link and buys, roughly 6 more people hear you mention the product, go to Amazon, search for it, and buy it directly without ever clicking your link. those 6 sales are invisible to your tracking. but the brand sees revenue spike every time creators post. they know you drove it. they just can't attribute it to your specific link. so they pay 200-300% on the 1 tracked sale to compensate for the 6 untracked ones. the full revenue stack per month for a solid creator: Amazon Associates (1-3% of all tracked revenue): $500-$2,000 brand commissions (100-300% per tracked sale): $5,000-$200,000+ brand retainer (guaranteed monthly pay for posting): $300-$5,000 one brand alone paid out $400K in commissions to its creators in a single month. the creators driving that revenue are posting videos of AI characters that were built in 30 minutes. to set up tracking on your end: go to Amazon Associates. create a tracking ID for each brand, character, and platform. format: brandname-charactername-platform (example: serene-grandma-igbio). generate the affiliate link using that tracking ID. put the link in your bio. every click is tracked. when payout time comes, you download a report from Amazon Associates showing every sale attributed to your tracking ID. you send that report to the brand. they verify and pay out your commissions. the whole system runs on a spreadsheet, a tracking ID, and a link in bio. that's it. i broke down the full monetization system in a 100+ page ebook. affiliate setup, brand deals, retainers, digital products, scaling. 18 chapters. like this post and i'll send you the link to buy it.

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  Fried Rice (@juxtapoz) reported 43 minutes ago

  @Shpigford @amazon how does this cause a problem. a couple solutions, look at the app or just open your front door, grab the box and look inside of it. who tf needs an email for all of this.

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  frank johnson (@Dixie_Normsjhq) reported 44 minutes ago

  @JKeynesAlpha To summarize- stocks go up, and then down- and then, back up. These posts are so fn stupid. Just buy, and dont look for a year. Google, Amazon, Nvidia, some chips- and youre good. That here is the real advice

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  Mister K. (@mister_kos) reported 46 minutes ago

  @AmazonHelp @LeedsKacy They don’t care about your delivery, they hire new drivers every week who don’t know what they’re doing so they can keep their costs down!

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  H Williams (@HWillia92893782) reported 48 minutes ago

  @BenGrahamUK Shut up and sit down, arsehole. It's black humour, and desperate Reform are trying to get some mileage out of it. Fake offence. The image does NOT call for his beheading and anyway have you tried getting a guillotine on Amazon? (Other retailers are available). #Polanski #Farage

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  kazie (@kazie151) reported 49 minutes ago

  @AmazonHelp I get that but like why not? I never have this problem & it's an everyday item. A Samsung S25 Edge screen protector - amazon recommended.

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  Teresa Wendt (@projectmat) reported 49 minutes ago

  @MickeyDangerez @VChannelling @Katie4west7 1st block neg posters. Life is short. 2nd I was just going to check your Amazon list to order some fix a flat. And 3rd we won't know what happened w the tool kit order. Sometimes cards/orders get cancelled due to fraud algorithms. Many of us want to follow your beautiful family.

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  Justin Mateen (@justinmateen) reported 50 minutes ago

  The market is being stupid on META and AMZN again. Buy both, and sleep well. Read this for confirmation… META should not be down 8% after hours. They grew revenue 28% at enormous scale. The headline EPS miss included $3.6B of legal and severance charges. On a normalized basis, EPS was approximately $7.35, well above consensus. The market keeps treating higher capex as a negative. It has this completely backwards. AI demand is supply constrained, so productive capex is future revenue capacity. META will increase earnings drastically and use it internally, or lease excess supply and make a large arbitrage either short term or long term. In all cases, it’s a massive win. In Amazon’s case it is spending today to unlock years of high margin (40%+) AWS revenue tomorrow. Capex ROI is likely around 30%. AMZN has a clean setup going into earnings tomorrow: AWS grew 28% last quarter, its fastest growth in 15 quarters. Amazon has a custom chip business (to bypass NVDA and increase margins) that passed $20B ARR and is growing triple digits. AWS generated nearly 60% of Amazon’s operating income last quarter. This percentage will continue to increase, even if we get an increase in prime membership pricing which happens every 4 years, and has not happened although we are in year 4 and due for an increase if you believe in patterns. Perhaps tomorrow? There are many data points that support cloud AI demand is accelerating. My bet is AWS reaccelerates sharply to 40%+ the second half of 26 as new capacity comes online. 45–50% in Q4 is very possible if the capacity ramp hits, which means earnings estimates are far too low. AMZN average EPS for 2027 is $10.09, but I would not be surprised if they do $14+ EPS. AWS is worth more than the current market cap of AMZN. Full disclosure I have meaningful positions in both companies and believe both META and AMZN will at least double to 1,000+ and $450+ respectively by 2028.

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  Danish Nomad (@danishmktg) reported 51 minutes ago

  @AmazonHelp The issue my 5 orders has been cancelled in the last 3 days. I am traveling on Friday and I need a product by tomorrow which Prime says IT CAN. but somehow my orders are cancelled automatically. Senior support team didnt reply me 3 days, made 3 calls, basic response, no help.

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  Mark Denton (@MarkDen37422286) reported 51 minutes ago

  @liam43102 @amazon Yep, had issues this week. Received message that the driver had been unable to deliver due to no reply as I was in my flat waiting for them. Strangely able to deliver the next day, I think they claim no reply when workload too much.

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  Polsia (@polsia) reported 51 minutes ago

  A DTC brand doing $1M+ doesn't lose to a competitor. It loses to a Tuesday Amazon suspension, an ADA demand letter, or an FTC inquiry. Built CompliantLoop to find and fix the violations behind all three — autonomously. Live soon.

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  Marie (@MBatteea) reported 54 minutes ago

  @liam43102 @amazon The delivery man from Evri where I live , Mohammed ,he is a very reliable so no problem .

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  Johnny N. (@Sole_Republican) reported 54 minutes ago

  Doesn’t matter what business model OA/RA/WS/PL. I have never talked to another business that is doing the same model as me but runs their business the same. I see the same thing in software, if you’re not building out your own infrastructure you’re going to be in trouble. I don’t think software is no longer important as AI allows anyone to build what they want and literally connect any kind of data you like. So software like Inventory Labs, Seller Board, Asinzen, Sellery etc… Any software that is just 1 and 0 can easily be replaced, what I think is important is the data like keepa. And the only way to start building your own database is to bring the software in house, especially for Amazon where the “software” options are thin. The data you can collect on your business is game changer. Be more efficient, do more volume, and as well protect your margins.

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  Pops (@tis_Pops) reported 57 minutes ago

  📍 This is shared here based entirely on the information provided by the person concerned & with his full consent. Dear @rapidoapp_ @sankaaravind @regards_rishi This is Mr. Sivakumar anna from coimbatore... who has been working as a rider with your company for the past 8 years. During this period alone he has completed approximately 24357 rides safely dropping passengers at their homes, offices, theatres, hotels & ther destinations on time, generating revenue for both himself & your company. For the past 8 years, he has followed the same routine starting work at 8am & returning home around 6pm... After riding his previous bike for nearly 1.5L km he sold it and recently purchased a new honda shine which was the bike i travelled on... he had no major health issues throughout these 8 years. It is only in the last 3 months that he has started experiencing mild back pain. I asked him just one question... you have worked tirelessly for this company since its early days. While you have earned an income yours is the kind of hard work that many people would hesitate to do... In all these years has the company ever invited you to appreciate your dedication? Have they ever recognized your contribution or shown you any respect for your years of service? & his answer was truly shocking... im not even sure they know that i have been working for this company for the past 8 years. If they dont even know that, how can i expect appreciation or recognition?. Dear rapido, At this moment i would like to remind you of something jeff once told his employees... "Amazon is not too big to fail & will one day go bankrupt noting that the typical lifespan of large corporations is around 30+ years not a century".

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  10Past7 (@10past7) reported 57 minutes ago

  @4k_isn @Nomoreultra It's an issue with Amazon app on every android since few months. If you think it's just Samsung then show it working fine on a non Samsung Android.

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  💫 AGF 💫 (@garfysource) reported 60 minutes ago

  @moontriangles sam comes across terribly in the film so why wouldn't he be able to **** talk him? And Amazon sold the movie he has no loyalties to them?? if it's a pr response it's terrible and he comes across like someone that has no moral compass