Paypal status: access issues and outage reports

Problems in the last 24 hours

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

• Sign in (42%)
• Errors (35%)
• Website Down (23%)

Live Outage Map

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

City	Problem Type	Report Time
Kassel	Sign in	4 days ago
Stuttgart	Sign in	4 days ago
Ajaccio	Sign in	5 days ago
Arumpo	Sign in	5 days ago
Sydney	Sign in	7 days ago
Adelaide	Sign in	7 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.

Paypal Issues Reports

Latest outage, problems and issue reports in social media:

• 
  PayPal Developer (@paypaldev) reported 3 minutes ago

  PayPal Sandbox: $5,000 Of Fake Money In 60 Seconds PayPal's sandbox hands every developer a fake buyer and a fake seller (merchant), each preloaded with USD 5,000. Nobody tells you the balance is editable, so you can set it to any number you need to test. Full flow: 1. Developer dashboard, toggle top left set to Sandbox. 2. Left nav, Testing Tools, then Sandbox Accounts . 3. Create account. Personal is your buyer, Business is your merchant. 4. Set Country to the market you are actually building for. 5. Make one of each. A seller with nobody to buy from tests nothing. 6. Find your row, click the three dots under Settings, then View/Edit account. 7. Login Info holds the email and password. Click the eye to reveal it. 8. Log in to the PayPal Sandbox. Your Client ID and secret come from the Business account, under REST API apps, then Create App. The Personal account has no such section, which is what trips most people up.

• 
  mel (@popodysseytour) reported 6 minutes ago

  @discohouseharry right like ik your paypal isn’t having problems LOL

• 
  Akp.eth {unemployed arc} (@akp_eth) reported 7 minutes ago

  @lechriss17 georestrictions is a very big problem tbh, imagine being blocked by @PayPal and @moonpay

• 
  🩶 (@euini_) reported 8 minutes ago

  @PayPal @AskPayPal #paypal You waited until I started making more than like, twenty dollars at a time, until I received my FIRST larger commission amount, to randomly ban my account. That is incredibly predatory. 😒 I have given you every single piece of information that you’ve asked me for. I’ve given you proof of commission requests/work, my LLC/business license, my ID, my bank statements, everything, and you’ve been flagrantly ignoring me since then. I’ve reached out for an appeal and had to learn from a chat room representative that you’ve denied it. You’ve took money that I need for groceries and bills and placed it on a SIX MONTH hold over your assumption that, because I sell digital products, I’m scamming someone??? Fix the AI that bans the accounts and make this place better for independent artists please. I draw for people! I make money from that! It may not be a lot to you, but this money gives me a week of groceries to feed my entire family. At least give me the funds I deserve, for the work I’ve done.

• 
  Hago Community (@HAGOCommunity) reported 12 minutes ago

  How to Build and Develop Profitability AI Software for Businesses to Analyze and Increase Their Profits Introduction Many businesses generate strong sales but still struggle to achieve healthy profit margins. The reason is simple: revenue does not tell the full story. A company may generate millions of dollars in sales while losing a significant amount of profit through high advertising costs, product costs, shipping, discounts, returns, payment fees, inefficient pricing, poor customer targeting, and unnecessary operating expenses. This creates a major business opportunity for a new type of software: Profitability AI Software Profitability AI is business software designed for companies to analyze their own financial, sales, marketing, customer, and operational data in order to understand where they make money, where they lose money, and what actions can increase profitability. The software does not simply report profit. Its real purpose is to help companies answer three critical questions: Where are we making money? Where are we losing money? What should we do next to increase profit? The ultimate goal is to transform business data into practical, measurable profit opportunities. What Is Profitability AI Software? Profitability AI is intelligent business software that connects to a company's existing systems and analyzes its data. The software is used directly by the business itself. It can connect to systems such as: E-commerce stores CRM software ERP systems Accounting software Advertising accounts Payment processors Shipping providers Inventory systems Sales systems Customer databases The software collects and organizes data from these systems and creates a complete picture of the company's profitability. Instead of looking at multiple disconnected reports, management can use one intelligent software system to understand the financial performance of the business. Main Goal of Profitability AI The main goal of Profitability AI is not simply to increase sales. The goal is to increase: Profitable Growth A company can increase sales and still make less money. For example, sales may increase because of aggressive advertising and large discounts, but profit can decrease because customer acquisition costs become too high. Profitability AI focuses on increasing sales while protecting or improving profit margins. Core Objectives of the Software Profitability AI can be built around several core business objectives. 1. Calculate True Business Profit The software should calculate real profitability after considering all relevant costs. A simple calculation could include: **Revenue Product Cost Advertising Cost Shipping Cost Returns Discounts Payment Processing Fees Variable Operating Costs = Contribution Profit** The company can then understand the real financial performance of its products and customers. 2. Identify Where Profit Is Being Lost The software continuously searches for profit leakage. For example, it may identify: Products with high sales but low margins Advertising campaigns that generate revenue but little profit High shipping costs Excessive discounts Increasing return rates High customer acquisition costs Unprofitable customer segments Payment processing costs Low-performing sales channels Expensive fulfillment processes Instead of simply reporting that profit decreased, the software explains why. For example: “Profit decreased by 8% this month. The main causes were higher advertising costs and increased returns for Product A.” 3. Discover Hidden Profit Opportunities One of the most important features of the software should be an: AI Profit Opportunity Finder The software continuously analyzes business data and searches for ways to increase profit. For example: Opportunity 1 Product B has a high profit margin but receives a low advertising budget. Recommended Action: Increase advertising spend by 20%. Estimated additional monthly profit: +$14,500 Opportunity 2 2,400 previous customers have a high probability of purchasing again. Recommended Action: Launch a customer reactivation campaign. Estimated additional profit: +$18,000 Opportunity 3 Product C may support a 5% price increase. Recommended Action: Test a higher price. Estimated monthly profit increase: +$9,300 The software should rank these opportunities so management knows which actions should be taken first. 4. Product Profitability Analysis Profitability AI should analyze every product and SKU. For each product, the software can show: Revenue Units sold Product cost Advertising cost Shipping cost Returns Discounts Payment fees Gross margin Contribution margin Contribution profit Profit growth Profit trend The software can then rank products by profitability. For example: Most Profitable Products Product B Monthly Revenue: $240,000 Contribution Profit: $82,000 Product F Monthly Revenue: $180,000 Contribution Profit: $64,000 Product A Monthly Revenue: $450,000 Contribution Profit: $39,000 This shows management that the highest-selling product is not always the most profitable product. 5. Customer Profitability Analysis The software should calculate profitability for each customer. Some customers generate large amounts of revenue but may not generate strong profit. For example, a customer may: Use large discounts Return products frequently Require expensive customer service Have a high customer acquisition cost Purchase only low-margin products Another customer may spend less but generate much more profit. Profitability AI can calculate a: Customer Profit Score The score could range from 0 to 100. For example: Customer Profit Score: 94/100 The score may consider: Lifetime value Contribution profit Customer acquisition cost Purchase frequency Average order value Return rate Discount usage Customer service cost Repeat purchase behavior This can help the company identify its most valuable customers. 6. Customer Segmentation by Profitability The software can automatically divide customers into groups. For example: High-Profit Customers Customers who generate strong profit and purchase regularly. Growth Customers Customers with strong potential to become more profitable. Low-Profit Customers Customers who generate revenue but low margins. At-Risk Customers Profitable customers who are reducing their purchasing activity. Lost Customers Previous customers who have stopped buying. This allows the company to create different marketing and sales strategies for each group. 7. Advertising Profitability Analysis One of the biggest problems in digital marketing is that businesses often optimize advertising based only on revenue or ROAS. Profitability AI should analyze the real profit generated by every advertising campaign. For example: Meta Ads Revenue: $200,000 Advertising Cost: $40,000 ROAS: 5x But after: Product costs Shipping Returns Discounts Payment fees Contribution Profit may only be: $18,000 Google Ads Revenue: $140,000 Advertising Cost: $35,000 But Contribution Profit may be: $31,000 The software can then tell management: “Google Ads generates lower revenue than Meta Ads but produces significantly more profit.” This can completely change how the company allocates its marketing budget. 8. Marketing Channel Profitability The software should compare all marketing channels. For example: Google Ads Meta Ads TikTok Ads Email Marketing Influencer Marketing Affiliate Marketing Organic Search Direct Traffic Each channel can be evaluated based on: Revenue Acquisition cost Customer quality Repeat purchase rate Return rate Lifetime value Contribution profit This allows management to identify the channels that produce the most profitable customers. 9. AI Advertising Budget Optimizer The software can recommend how advertising budgets should be distributed. For example: Current monthly marketing budget: $100,000 Current allocation: Meta Ads: $50,000 Google Ads: $30,000 TikTok Ads: $20,000 After profitability analysis, the AI may recommend: Meta Ads: $35,000 Google Ads: $50,000 TikTok Ads: $15,000 The reason: Google Ads produces customers with higher profitability and lower return rates. The software can estimate the expected financial impact of the new allocation. 10. Pricing Optimization Pricing is one of the most important profit drivers. Profitability AI can analyze pricing data and recommend opportunities to increase margins. The software may consider: Sales volume Historical pricing Conversion rates Customer behavior Product demand Discount usage Customer segments Margin changes For example: Current Price: $49 Recommended Test Price: $52 Estimated Unit Sales: -3% Estimated Revenue: +2% Estimated Profit: +9% The software should present this as an estimated scenario rather than a guaranteed result. 11. Discount Optimization Many businesses use discounts without understanding their real impact on profit. Profitability AI can analyze which discounts actually increase total profit. For example: A 20% discount may increase sales by 15% but reduce total profit. A 10% discount may increase sales by 10% while producing significantly higher profit. The AI can recommend: “Reduce the discount from 20% to 10% for this customer segment.” 12. Upsell Opportunities The software can identify customers who are likely to buy a more expensive product or service. For example: A customer regularly purchases a basic subscription. The AI identifies that customers with similar behavior often upgrade to the premium package. The software creates an: Upsell Opportunity Potential Customers: 850 Estimated Conversion Rate: 12% Estimated Additional Profit: +$21,000 13. Cross-Sell Opportunities Profitability AI can identify products frequently purchased together. For example: Customers who purchase Product A may have a high probability of purchasing Product C. The software can identify: Eligible Customers: 2,200 Expected Conversion Rate: 10% Expected Additional Profit: +$16,500 The company can use this information to create targeted campaigns. 14. Customer Reactivation The software can identify profitable customers who have stopped purchasing. For example: 1,350 profitable customers have not purchased in the last 120 days. The software can estimate which customers have the highest probability of returning. Management can then create a reactivation campaign. The system can prioritize customers based on: Previous profit Purchase frequency Last purchase date Customer lifetime value Product preferences 15. Customer Churn Prediction For subscription businesses or companies with repeat customers, Profitability AI can predict which customers are likely to stop buying. The software may display: Customer Churn Risk: 84% It can then recommend actions such as: Send a retention offer Contact the customer Offer a loyalty benefit Recommend a new product Assign the customer to a sales representative This allows the company to protect future profit before the customer is lost. 16. Profit Anomaly Detection The software should constantly monitor profitability and identify unusual changes. For example: Profit Alert Product B's profit margin decreased from 31% to 19% during the last 7 days. The AI then investigates the causes. Possible explanation: Advertising Cost: +18% Return Rate: +9% Shipping Cost: +6% This allows management to act quickly. 17. Real-Time Profit Alerts Profitability AI can send notifications when important changes occur. Examples: Advertising Alert Customer acquisition cost increased by 24%. Product Alert Product A's contribution margin dropped below 15%. Customer Alert A highly profitable customer has reduced purchasing activity. Return Alert Product C's return rate increased significantly. Opportunity Alert A high-margin product is experiencing increased demand. These alerts make the software useful every day. 18. Profit Simulator A major feature of the software should be an: AI Profit Simulator Management can test decisions before implementing them. For example: “What happens if we increase Product A's price by 5%?” The software may estimate: Sales Volume: -3% Revenue: +2% Contribution Margin: +8% Estimated Monthly Profit Increase: +$13,700 Management can also ask: “What happens if we increase Google Ads spending by $20,000?” Or: “What happens if we stop free shipping for orders under $75?” The software can simulate different business scenarios. 19. Profit Forecasting Profitability AI can forecast future profitability. For example: Next Month Forecast Expected Revenue: $1.8M Expected Contribution Profit: $385,000 Expected Margin: 21.4% The system can also display: Best-Case Scenario Expected Scenario Worst-Case Scenario This helps management plan budgets and make better decisions. 20. Ask Profitability AI The software should include an AI business assistant. Management should be able to ask questions in natural language. For example: “Why did profit decrease this week?” The AI may respond: “Revenue increased by 5%, but contribution profit decreased by 4%. The main causes were higher Meta advertising costs and an increase in returns for Product X.” Other questions could include: “What are our five most profitable products?” “Which campaigns should we stop?” “Which products should receive more advertising budget?” “Which customers should our sales team contact?” “Where is our biggest profit opportunity?” “What would happen if we increased prices by 3%?” This makes advanced business analysis easy for managers. 21. AI Executive Summary The software can generate a daily or weekly executive report. For example: Weekly Profitability Report Revenue increased by 8%. Contribution profit increased by 4%. Meta advertising costs increased by 13%. Product B became the most profitable product. Product C returns increased by 7%. AI identified six profit opportunities worth an estimated $43,000 per month. This gives business owners and executives a quick understanding of performance. 22. Profit Opportunity Ranking Not all opportunities have the same value. The software should rank opportunities based on: Estimated profit impact Probability of success Cost of implementation Risk Time required Business complexity For example: Opportunity Score: 94/100 Estimated Profit: $24,000/month Confidence: 88% Difficulty: Low Priority: High This helps management focus on the highest-value decisions first. 23. AI Recommendations Profitability AI should provide clear recommendations. For example: Recommendation Increase Google Campaign B budget by 15%. Estimated additional profit: +$9,700/month Confidence: 82% Reason: Campaign B generates customers with higher margins, lower return rates, and stronger repeat purchase behavior. The software should explain every recommendation. This is important because businesses need to understand why the AI is making a decision. 24. Action Tracking The software should track what happens after the company follows a recommendation. For example: AI Recommendation: Increase Product B advertising budget. Expected Profit Increase: $10,000/month After 30 Days: Actual Profit Increase: $11,400 Result: Recommendation Successful This allows the company to measure the real value of the software. 25. Profit Generated by AI A powerful dashboard metric could be: Profit Generated Through AI Recommendations For example: This Month: +$47,800 This Year: +$312,500 This can become one of the strongest reasons for customers to continue paying for the software. 26. Product Performance Score Each product can receive an AI-generated score. For example: Product Profit Score: 88/100 The score may consider: Profit margin Sales growth Return rate Marketing efficiency Customer repeat rate Inventory movement Pricing strength Management can quickly identify strong and weak products. 27. Marketing Campaign Profit Score Every advertising campaign can also receive a score. For example: Campaign Profit Score: 92/100 The AI may recommend: Scale Maintain Optimize Reduce Stop This gives marketing teams a simple decision system. 28. Sales Team Profitability For B2B companies, the software can analyze sales performance. Instead of measuring sales representatives only by revenue, the system can measure the profit generated by each salesperson. For example: Sales Representative A Revenue: $750,000 Profit: $180,000 Sales Representative B Revenue: $620,000 Profit: $240,000 Representative B is generating less revenue but more profit. This allows management to evaluate sales teams more accurately. 29. Geographic Profitability The software can analyze profit by: State City Region Country Store location For example: California Revenue: $400,000 Profit Margin: 12% Texas Revenue: $300,000 Profit Margin: 26% The AI may recommend increasing marketing investment in Texas because customers there are more profitable. 30. Inventory Profitability Profitability AI can analyze inventory performance. It can identify: Slow-moving products High-margin products Low-margin products Overstocked products Products at risk of running out Products with high holding costs For example: Inventory Opportunity Product D has $120,000 of excess inventory. Recommended Action: Create a targeted promotion. Estimated recovered cash: $68,000 31. Return and Refund Analysis Returns can have a major impact on profitability. The software can analyze: Return rate by product Return rate by customer Return rate by advertising campaign Return reasons Financial cost of returns For example: Product X Revenue: $200,000 Return Rate: 18% Return Cost: $36,000 The AI may recommend investigating product quality, advertising expectations, sizing information, or customer targeting. 32. Cost Monitoring The software should monitor changing costs. For example: Product cost Shipping cost Advertising cost Payment fees Fulfillment cost Customer service cost If costs suddenly increase, management receives an alert. Example: Cost Alert Shipping cost per order increased from $8.40 to $10.10. Estimated monthly profit impact: -$16,700 33. Business Profit Dashboard The main dashboard should focus on what business owners care about most. For example: Profit Overview Revenue: $1,850,000 Gross Profit: $760,000 Marketing Cost: $205,000 Returns: $74,000 Contribution Profit: $368,000 Contribution Margin: 19.9% Then: AI Found $86,000 in Profit Opportunities The system displays the most important opportunities immediately. 34. Integrations Profitability AI can connect to business software such as: E-Commerce Shopify WooCommerce Amazon Advertising Google Ads Meta Ads TikTok Ads Payments Stripe PayPal Accounting QuickBooks Xero CRM Salesforce HubSpot ERP NetSuite Microsoft Dynamics Shipping and Fulfillment Shipping carriers 3PL providers Warehouse systems The first version should start with a small number of high-value integrations. Building the First MVP The first version of Profitability AI should remain focused. A strong MVP can include: Shopify Integration Import: Orders Products Customers Refunds Discounts Advertising Integration Connect: Google Ads Meta Ads Cost Management Allow businesses to enter: Product costs Shipping costs Payment fees Other variable expenses Profit Dashboard Calculate: Product profitability Campaign profitability Customer profitability AI Profit Opportunity Finder Identify the highest-value opportunities. AI Assistant Allow managers to ask questions about profit. Profit Alerts Notify companies about important changes. The main goal of the MVP is to prove: The software can discover profit opportunities worth significantly more than the monthly subscription price. Technology for Building Profitability AI A possible technology stack could include: Frontend React Next.js Backend Python FastAPI Database PostgreSQL AI and Machine Learning Machine learning models Large Language Models Forecasting models Recommendation systems Anomaly detection models Cloud Infrastructure AWS Google Cloud Microsoft Azure Payments Stripe Data Processing Background processing systems Data pipelines Scheduled analytics jobs The software should be built as a web-based business application first. How Profitability AI Can Make Money The software can operate using a SaaS subscription model. For example: Starter $199/month For smaller businesses. Features: Basic profitability analysis Product profitability Basic AI insights Growth $499/month Features: Advanced profitability analysis Customer profitability Marketing profitability Profit Opportunity Finder AI recommendations Pro $999/month Features: Advanced forecasting Profit Simulator Multiple stores Advanced AI analysis Team accounts Additional integrations Enterprise Custom pricing. Designed for larger companies. Features can include: Custom integrations Advanced security Dedicated support Custom analytics Multi-business reporting Advanced AI models Performance-Based Pricing Another future revenue model is performance-based pricing. For example: Monthly subscription: $500 Plus a percentage of verified additional profit. If the software helps the company generate: $100,000 in additional profit Profitability AI could receive an agreed percentage. However, this should only be introduced when the software has strong systems for measuring and proving incremental profit. Selling the Software to Businesses The software should not be marketed primarily as an AI product. Businesses care about results. A weak marketing message would be: “Advanced AI Analytics Software.” A stronger message is: “Your Business Has Hidden Profit. We Help You Find It.” Other possible messages include: “Stop Optimizing for Revenue. Start Optimizing for Profit.” “Find the Products, Customers, and Campaigns That Actually Make You Money.” “Turn Business Data Into Profit Opportunities.” “Know Where You Make Money. Know Where You Lose It. Know What to Do Next.” Free Profit Audit A powerful customer acquisition strategy could be: Free AI Profit Audit The company connects its business data. Profitability AI analyzes the business. The software may say: We Found 9 Profitability Problems and 6 Profit Opportunities. It shows one or two opportunities for free. For example: Potential Additional Monthly Profit: $42,000 To unlock the complete report, the business subscribes. This allows the customer to understand the financial value of the software before purchasing. Why Companies Would Pay for Profitability AI The most important factor is return on investment. If a company pays: $499/month and the software consistently identifies: $10,000, $20,000, or $50,000 in additional profit opportunities the software becomes easy to justify financially. Profitability AI is therefore not simply selling software. It is selling: Better Business Decisions and ultimately: Higher Profit. Long-Term Vision The first generation of the software analyzes data. The second generation recommends decisions. The third generation helps execute approved decisions. For example: Profitability AI says: “Increase Google Campaign A's budget by 15%.” Estimated additional monthly profit: +$12,000 The manager clicks: Approve The software executes the change. Or: “2,100 profitable customers are suitable for a cross-sell campaign.” The software can prepare the customer segment, recommended product, offer, and marketing campaign. Management approves the action. The system then tracks the results. This transforms Profitability AI into: AI Profit Management Software The software continuously: Collects Data → Calculates Profit → Finds Opportunities → Recommends Actions → Tracks Results → Learns → Finds New Opportunities Final Vision Profitability AI should become the software a business owner opens every morning to answer: How much profit did we make? What changed? Where are we losing money? What products are making us the most money? Which customers are the most profitable? Which advertising campaigns should we scale? Which campaigns should we stop? Where is our biggest profit opportunity? What should we do today to increase profit? The software should then provide a clear answer. For example: Today’s Top Profit Opportunities 1. Scale Product B Estimated Additional Profit: +$18,400/month 2. Reduce Meta Campaign #9 Estimated Savings: +$11,200/month 3. Reactivate 870 High-Profit Customers Estimated Additional Profit: +$15,600/month 4. Test a 4% Price Increase on Product C Estimated Additional Profit: +$8,300/month Total Estimated Profit Opportunity: +$53,500 Per Month That is the core value of the product.

• 
  DSIV (@dsivmusic) reported 13 minutes ago

  ③ What is easy to overlook The biggest upgrade you can make is give Codex Security an actual security policy instead of the vague “find the bugs.” Drop a SECURITY.md that spells out: • system boundary • threat model • attacker-controlled inputs • trust boundaries • security invariants • what counts as a reportable finding • accepted risks • compensating controls Way more powerful than “scan everything.” For a music producer building anything that handles money, downloads, or user accounts, tell it explicitly to protect: • auth and authorization boundaries • admin / producer dashboards • customer session and payment data • API keys and environment secrets • webhooks from Stripe / PayPal / BeatStars • file uploads and external sample URLs • payment trust boundaries • redirects • XSS / HTML injection on product pages • CSRF • SSRF • injection points • rate limiting / abuse controls • dependency and supply-chain risk • server-side vs client-side secrets • private catalog and unreleased stems • deployment config That threat model stays alive and gets sharper every time you refine it. One more thing people miss: scanning is not the same as architecture. If Codex builds a perfectly coded but insecure authorization model for your download system, the scanner is already fighting uphill. The invariants have to exist before the code. Examples that actually matter: INVARIANT A browser must never receive a privileged Stripe or admin credential. INVARIANT Every privileged mutation (price change, download unlock, refund) must authorize server-side. INVARIANT User-controlled URLs may never hit an unrestricted internal fetcher. INVARIANT Secrets only come from approved secret stores or environment variables. INVARIANT No generated page may render unsanitized user-controlled HTML. INVARIANT Production deploys require security tests to pass. Now both Codex and Codex Security have something concrete to enforce

• 
  amrayu (@amrayupon) reported 18 minutes ago

  @eliana_jordan It's unfortunate, but I've had my share of issues with PayPal too! I actually used to work at PayPal in their corp office for 12 years till I got laid off. They've gone into the shitter recently too! Tons of layoffs and they've lost their focus... nickling and diming their customers.

• 
  Pankaj Kumar (@pankajkumar_dev) reported 18 minutes ago

  Hi @AskPayPal @PayPalPay, my account has been restricted because I haven't logged in for over 3 years. I’m trying to link my Visa card, but I’m getting an error. I don’t want to change my registered email or mobile number. Please help me reactivate my account. I can provide my reference details via DM.

• 
  Naran Row-Spaulding (@NRSmaine) reported 20 minutes ago

  A fourth man, sporting a “Scarface” tee-shirt, asked for money as he flipped the middle finger. “I take Cash App, Venmo, PayPal, Zelle, all the electronic payments,” he shamelessly yelled to all present. Another dangerous lunatic, some parents nicknamed “Fire Bug,” recently set fires to the benches while the kids practiced, one parent claimed. Since the city opened the $73 million Gansevoort Peninsula in 2023 — a 5.5-acre green oasis with a sports field, beach and boardwalk — homeless people wasted little time turning the park in the swanky neighborhood into their own personal crash pad and washrooms. Encampments were twice torn down last summer, but this year the NYPD told The Post it didn’t respond to incidents there, and there were no 311 complaints about them. But petrified parents and parkgoers said the crew has become even more brazen.

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  dawgyg - Defcon (@thedawgyg) reported 20 minutes ago

  @dvnblj @0x686967 yea i was on Efnet in the mid and late 90s.. fighting tnt and glitch in IRC take over wars with tdk (those damn kids) and dznutz/kryptonic/dev and a few others.. it was fun til the massive ddos nets started popping up.. the first time mafiaboy (the kid in canada that has first recorded ddos against ecommerce circa 2000) hit me with his trin00 net it dropped my entire city.. so then i started building my own net to retaliate lol but he ended up getting arrested a couple months later for ddos'ing paypal and them

• 
  Polsia (@polsia) reported 20 minutes ago

  Most DTC founders lose money to FX mismatches, stuck payouts, and chargebacks — then find out at month-end, when it's too late. Built Hawkledger to fix that. Watches Stripe, Shopify, and PayPal in real time and emails one morning brief: the fix to push back. Live soon.

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  EN-CODE GLOBAL (@EN_CODEGLOBAL) reported 21 minutes ago

  🚨 DO NOT TRANSACT 🚨 X acct – @Daisukivote7 Telegram acct – Daisukivote7 / myssvt We are sorry to deliver this news to you, ENGENEs. Unfortunately, we can no longer reach this seller, as they have been unresponsive for several days and even deactivated their account. We transacted with this seller for Music Core pre-votes. We usually transact through a DROP FIRST, PAY LATER arrangement; however, some sellers require a down payment or full payment upfront. In this case, we reserved 30,000 heartbeats for $22.22 USD, which was paid via PayPal. We waited several days before making this announcement, giving the seller the benefit of the doubt in case something unexpected happened, such as a loss of internet connection, an emergency, or a natural disaster in their country. However, one of our members reached out to the seller using their fan account, and the seller responded immediately, offering votes. When our member mentioned that they should also respond to ENCODEGLOBAL, the seller stopped replying to our member as well. Given these circumstances, we are advising everyone NOT to transact with @Daisukivote7.

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  Wellnesskoenig (@binancechiller) reported 22 minutes ago

  @insomnia_vip All I scare is the refunds , actually also I had a lot of issues on sells on eBay also and still refund on PayPal via 180 days. But this is gold if u do it right probably and it work automation

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  C B placeholder pending better days (@cbavington) reported 25 minutes ago

  @thetrainline The error for the card txns was not very helpful, just said "try again" (that's normal ofc, no merchant gives details of what might be wrong) but the PayPal error mentioned a problem with the "payment system" (this was 9-9:30 last night, Friday)

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  Mike ~ マイケル・チャンドラー (@Mike_reCenter) reported 26 minutes ago

  @retrotink2 Is the shipment going to the address on the order or the PayPal address? I'm having trouble completing my order and I think it's because of the address I chose on PayPal. I'm in Europe and I want the shipment sent to the US.

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  🐰~𝓚iuchiii~ᕱ-ᕱ₊🌷@kiuna#Vgen (@kiulivetv) reported 29 minutes ago

  I want to confirm that PayPal itself states that you don't need a trading license to accept money. How can I avoid any issues? Should I connect my personal PayPal account to VGen and link my personal bank account via VGen payments (Stripe) is it safe or any recommendations?

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  Joel Dalais (@JoelDalais) reported 34 minutes ago

  @369bsv @BitcoinSVCOL @PayPal Some other notes you (or readers might find interesting) - there is no central wallet to be hacked, no central bank to be closed down or forced closed - users use their own wallets and their own paypal. Also - its impossible for the system to inflate the BSV available, traders can only post up to what they have, the system (nor myself, or anyone) can't create extra BSV to put in the market for price manipulation, as your 'account balance' is whatever you have in your handcash.

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  Mukya 🪸☕️ 𝄆 HOUSE OBSCURUS 𝄇 (@MukyaVT) reported 34 minutes ago

  Okay, I need some advice.... I have been going in circles since Monday with Twitch Support and PayPal. - Twitch says the latest payout was received - PayPal Says it was not - Twitch asks me to check again - gives me reference+transaction ID's - PayPal still says there is nothing pending or in my account with those numbers - Twitch tells me payments cannot be reissued once it shows successful - Twitch says issue has to be sent via email for further 'investigation' - Email is LITERALLY a copy paste of the same info all 3 agents in their instant chat sent - I sent screen shots of all conversations to show Paypal CONFIRMS THERE IS NOTHING PENDING - Twitch now says I have to wait 30 days for the money to MAYBE be sent back to them so they can MAYBE reissue the payment ......im so tired.... $600 for bills just gone....and I might not ever see it

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  T, N, rives (@Pomskyd2) reported 34 minutes ago

  @NeonWhiteRabbit I have @PayPal problem I ask them to Cancel my Account, give me your SS#. for sure All of them are Scammer thief

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  The Thrifty Dev (@TheThriftyDev) reported 39 minutes ago

  You act like physical effort is the only way to contribute value, hell even mental effort isn't the only way. The dude literally sold his shares and PayPal and started to pipe dream companies and made them major successes. He risks his wealth, time, energy, and uses his own mental capital to a large extent. Again even out of all the billionaires, how many of them do you know of that average creating a multi-billion dollar company as frequently as Elon musk does? And you act like he's just taking still, it's not about you not insulting him. It's about the fact that you act like he's not creating massive wealth for a large number of other people that are just employees and the grand scheme of things. He employs crap tons of Americans by the way. So you have a funny way of not insulting him by insinuating that he doesn't deserve what no one else has, for being able to do what no one else can or is willing to do. Also it's the f****** dollar Ponzi scheme currency that they can print out of thin air that is your problem not the rich people. It's the Central Bank stupid.

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  Infaris || Cyber Demon VTuber (@InfarisVelsina) reported 43 minutes ago

  @MaximiliankotWA This is why I’m probably double or tripling down on Patreon once I confirm it works for payment processing and such. I was using it with PayPal but now doing it direct to bank. I also am doing the math on what I need to full time and to help expand.

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  Polsia (@polsia) reported 45 minutes ago

  Five payment platforms. One freelancer. A morning wasted on reconciling instead of working. Built Marginwell to fix that — pulls Stripe, PayPal, Wise, and bank feeds, posts a clean ledger overnight, and emails a one-page P&L with cash forecast before 7am. Live soon.

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  Not Sure (@DrRichardPitre) reported 47 minutes ago

  Anyone else having trouble killing their blood sucking PayPal account?

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  Allan Robinson (@_ARob) reported 51 minutes ago

  The double-spend example for money: If I email you a photo, I still have a copy. That’s fine for photos, terrible for money. If I send you $10 digitally and still hold a copy of that $10, I can spend it again with someone else. Traditional fix: A bank sits in the middle. It keeps the master ledger, deducts $10 from me, adds $10 to you. You trust the bank, not me. Bitcoin’s fix: Every transaction is broadcast to thousands of computers, verified, and written into a shared public ledger that everyone holds a copy of. Rewriting it would cost more in electricity than you’d gain, so lying isn’t worth it. Real-world example: Alice sends Bob 1 BTC. The transaction goes out to the whole network, gets confirmed into the blockchain, and now every participant agrees Bob owns it and Alice doesn’t. Alice can’t send that same coin to Carol — the ledger already says otherwise. No bank, no PayPal, no Cash App, no Venmo, one to ask permission from. Bitcoin is money.

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  AmsterdamnedX2 (@Amsterdamnedx2) reported 52 minutes ago

  Ohhh shave! But its dead? Ye? Sheep! Tiger media down? Ye can use paypal? Ye

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  ASUKA@新刊感想歓迎 (@kaijouisthebest) reported 53 minutes ago

  @JoyJones10491 Hi, sorry for late reply. I can provide PayPal payment link &send you directly , so it's no problem 🐱 Please send me a message when the book publish, thank you

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  𑣲 mattie (@canacorpse) reported 55 minutes ago

  @felicorpse Oooh okay, I personally use paypal, cashapp and venmo Ko-if is also an alternative that I’ve used and haven’t had issues with before

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  Haliban (@YesCersss) reported 55 minutes ago

  @DarkHaliburton @MCVet087 No, I have a guy that I just PayPal $25 each month too and he does all the updating and all that ****. I don’t have to worry about anything but just paying him my money.! Like I said, I’ve had it for like four years now never had any issues and the best part is,

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  Diagnosis:Woman (@The_Great_Null) reported 1 hour ago

  $0/$100- needed for food by monday. My birthday is at the end of the month too, so any help paying down the $400 I owe ca$ would be lovely. ******** money so I could sleep would also be nice. If anyone can help with any of that, my paypal/venmo/ca$ are all nullthegreat

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  Swesda4et ✰ (@swesda4et) reported 1 hour ago

  @3am_starlight @wearelloud What is the problem with claiming a refund through PayPal or your bank?