The article points out that ACOS is a result rather than a control button, and that advertising effectiveness must be judged in conjunction with TACoS and absolute profit; it illustrates through a price-increase case that high ACOS may coincide with declining profits; it proposes a three-step optimization method: first increase budget then check impression share, finally split keywords and placements for targeted testing; it emphasizes that capturing traffic already cultivated by competitors (brand terms, ASIN targeting) can significantly lower ACOS; it notes that high ACOS during the new product launch period is normal investment, and attention should be paid to the break-even line and traffic structure line; ultimately emphasizing that ACOS is jointly determined by the product, page, and traffic structure.
Based on Amazon store data scraped via YouMai Cloud MCP, the author designed and tested a set of daily AI inspection instructions. These can automatically identify cross-module issues such as stockout risks for high-sales ASINs, over-budget advertising, and inventory health, while filtering out low-impact anomalies. The final output is a library of 24 instructions covering scenarios including daily inspections, ASINs, advertising, keywords, inventory, and new products. The author states these are available for sellers in need.
In 2025, China's transformer exports reached RMB 64.6 billion, up 36% year-on-year, with the average price per unit rising to RMB 205,000; the delivery cycle for large power transformers in the US has stretched to 128–144 weeks, exacerbating delay risks for data center projects, while domestic supply can only meet approximately 20% of demand; Chinese manufacturers are capturing orders with 10–12 month lead times, but their main exports to the US remain mid-to-low-end distribution transformers, with high-end large power transformers and custom models for data centers constrained by quadruple certification barriers including UL, DOE, CEC, and BABA; companies like Jinpan Technology and TBEA are accelerating overseas localization, but certification cycles still require 10–12 months, and influence over standards has not yet been broken through.
On October 13, American Express released the Intent Intelligence framework. By recording and authenticating user purchase instructions (such as designated merchants, maximum budgets, and product preferences), it generates an intent ID and payment credentials with restricted permissions; if an AI agent's behavior deviates from the authenticated intent during checkout, the system can intercept the transaction before deduction. This framework is an extension of the Agentic Commerce Experiences developer toolkit released in April, and currently has no mandatory implementation timeline.
A large number of top Amazon FBA sellers are shifting from 9810 cross-border e-commerce overseas warehouse exports to 0110 general trade customs declarations. The core reason is that the 9810 pre-tax refund requires overseas inventory settlement and write-off by April 30 of the following year; unsold or destroyed goods trigger tax clawbacks, whereas the 0110 tax refund is final upon receipt with no subsequent clawback risk. The article analyzes the fundamental differences between the two in terms of title transfer, four-flow matching, invoice acquisition costs, multi-store aggregation, and enforcement interpretations, emphasizing that switching requires restructuring business substance, title, and fund flows, while strictly adhering to three red lines: substantive operation of Hong Kong companies, fair pricing for related-party transactions, and full foreign exchange collection.
Financial platforms including Charles Schwab, JPMorgan Chase, and Bank of America have recently blocked third-party AI agents such as Muse, Grok, and Dots due to unclear liability attribution and prohibitions on high-risk operations like fund transfers; Charles Schwab allows balance inquiries and research material access via dedicated MCP servers; Delta Air Lines, Yelp, and Amazon have also adopted similar restrictions, with Amazon having accused Muse of violating website rules as early as September.
Amazon List Price requires records of identical products at the same price on external platforms or stable transactions within the site over the past 90 days; otherwise, it will be judged as a false discount by the system, leading to the disappearance of the strikethrough price and failure in BD activity registration. Common failure causes include prices deviating from the market, long-term low-price promotions, large discounts on new products, and frequent price changes. The author suggests stabilizing the price for 9 days before promoting new products, setting the List Price based on the highest transaction price during the stable period, promptly restoring the price after BD activities to repair credibility, or refreshing system recognition through external price proof or real transactions.
Ranxy developed and released the lineage analysis platform MetaxisData, aiming to address cross-service impact issues caused by database changes during agent development; the platform provides retrieval capabilities through MCP, enabling agents to perceive field-level data lineage. Full details are available at https://metaxisdata.com/zh/blog/agent-era-schema-changes/, and the source code is hosted at https://github.com/Ranxy/metaxisdata.
dtool v0.3.0 is a single-binary, zero-dependency, MIT-licensed open-source CLI tool designed specifically for AI Agents to handle local Excel data processing pipelines. It supports commands such as convert, query, visualize, and pipeline. All operations are executed locally by default, with no data uploads, structured JSON output, and complete Action lineage tracking. It supports Linux/macOS/Windows and includes built-in SQLite and chart rendering capabilities.
Circle Chief Business Officer Kash Razzaghi posted disclosures revealing that USDC facilitated over $36 trillion in on-chain settlements in the first half of 2026, with total revenue of approximately $1.4 billion. Of this, $819 million (58.5%) was distributed to ecosystem partners, $473 million (33.8%) was reinvested in compliance licenses, liquidity networks, and technical infrastructure, while Circle's own net profit was approximately $108 million (7.7%). The post also clarified that free redemption is standard for USDC, and near-real-time settlement is achieved through the Circle Payment Network (CPN).
Amazon has sent NWD (No Wholesale Distribution) error emails to some third-party sellers, involving error codes 5465 and 6045, requiring resolution by October 27, 2026; otherwise, related listings will be removed and FBA inventory forcibly disposed of. The article details the definition of NWD and provides specific action lists and appeal paths for three scenarios: unauthorized resale, authorized but system misjudged, and own-brand falsely flagged.
koto is an open-source tool developed by SeanG, offering a CLI and a desktop app. It supports one-click copying, migration, or synchronization of sessions between different Agent Harnesses (such as Codex, pi), preserving context and supporting multi-turn selection, session tree analysis, and line-by-line comparison. It is compatible with macOS, Windows, and Linux. The project homepage is kotoai.site, and the GitHub repository is Seanium/koto.
TypeSafe AI launched the specialized decision-making model Jev on September 15. It supports only three types of structured judgment tasks: Choice/Score/Noul, does not generate explanations, and returns probabilities and confidence levels; end-to-end response time is 70–500 milliseconds, priced at $0.042 per million input tokens with free output; within 24 hours of launch, it was adopted by 13% of paid teams on the AI Gateway platform, and one-third of Fortune 500 companies are already using it; after switching, talent platform Jack&Jill saw an 88% cost reduction; the company was founded two years ago, co-founded by Diogo Almeida, a former core member of OpenAI/Google Brain, raised $870 million in Series A funding, and has a valuation of $7.5 billion.
At the 2026 Amazon Accelerate conference, Amazon announced the launch of a Listing Protection mechanism, allowing AHA sellers to continue selling products during the review period after being flagged as non-compliant. This mechanism applies to sellers whose Account Health Rating (AHR) has remained above 250 for 6 consecutive months with no more than 10 days below 250. It is expected to cover the US marketplace by the end of 2026, with global marketplaces extending to 2027. Additionally, a Seller Challenge appeal mechanism was introduced, allowing AHA sellers to initiate 3 challenges every 180 days, targeting results within 48 hours.
The PDFMathTranslate team has launched a new cross-platform client that supports real-time PDF translation while preserving original layouts for formulas, tables, etc.; it is compatible with OpenAI-compatible APIs, supports custom translation services and free partner channels; it provides reading enhancement features including highlight annotations, multi-view navigation, TF-IDF term emphasis, and bionic reading; both desktop and iOS versions are open source.
Independent developer jerfoxu released the WeChat mini program "Destination Cloud Map Weather," addressing the difficulty outdoor users face in finding cloud map weather and saving locations. The mini program parses meteoblue's public text interface to draw its own cloud maps and translate them into Chinese. It supports four ways to save favorites: current location, previously checked locations, coordinate input, and map clicks. Users can categorize favorites by fishing spots/campsites/photo spots/shops, rename and add notes, check weather or navigate with one click; search for the mini program name on WeChat to use it.
Indie developer lqhhh released an iOS Pomodoro app named "Don't Shrimp Sit." Its core mechanism requires users to complete a set number of squats (5/10/20) after the focus timer ends. It uses the front-facing camera to run the Vision framework locally, identifying the hip-knee-ankle angle (standing straight >160°, squatting down <125°) to count repetitions; the next Pomodoro session is unlocked only after meeting the target. Pro features include landmark collection, black tomato records, and monthly reports. The launch price is ¥24/year or ¥54 for lifetime access, with 30 App Store lifetime membership redemption codes given away.
PipNow, a macOS picture-in-picture tool developed by zhuawadao, has launched. It features mouse hover preview, direct interaction via single-click small window, multi-screen adaptation, quick scaling of the small window, and temporary hiding with the fn key. The official website is pipnow.app, and it includes 10 activation codes.
The Zcash developer team Zakura proposed a new scheme that assigns an independent viewing key to each ZEC swap conducted via NEAR Intents, preventing future quantum computers from inferring users' complete payment history through public refund addresses; this scheme uses private information retrieval technology to enable efficient wallet queries for refund locations without leaking query addresses. Compatible software wallets (such as Vizor) can deploy it within weeks, earlier than the Zcash developers' original goal of achieving quantum-resistant payments by January.
Xuan Shanming, CTO of SenseTime's Large-Scale Infrastructure, shared their inference infrastructure practices at the CSDI Summit. He proposed building a ten-thousand-card heterogeneous inference cluster centered on PD disaggregation, achieving synergy between domestic computing power and high-bandwidth GPUs by decoupling Prefill and Decode tasks. Furthermore, he explored cross-domain PD disaggregation, utilizing KV Cache compression to support remote Prefill-Decode orchestration. He also proposed AF disaggregation, deploying Attention and FFN on hardware suited to them to enhance single-card throughput and energy efficiency.
TLKRecomp is an open-source project that statically recompiles the SNES game 'The Lion King' (US version, 1994) into a native PC program using the snesrecomp tool. It supports Linux, Windows, and macOS (Apple Silicon), requiring users to provide their own ROM file 'Lion King, The (USA).sfc'. The main game logic has been fully translated to C and compiled for execution, while graphics and audio are still driven by snesrecomp's PPU/SPC emulators to ensure frame-level consistency. It offers a settings menu, practice mode, save states, controller mapping, CRT/LCD shaders, and precompiled packages for multiple platforms.