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The article examines the potential impacts of autonomous vehicles on public transportation and explores the implications for urban planning and transit-oriented development. It discusses the opportunities and challenges presented by the integration of autonomous vehicles into existing transportation systems.

The article explores the future of open-source AI development in China, highlighting the country's growing influence in the field and its potential to challenge the dominance of Western tech giants in this space.

Hi HN — I built CursorLens, a free and open-source screen recorder/editor for product demos and walkthroughs.

It started as a fork of OpenScreen, but I reworked a lot of the capture/editing pipeline for a more native macOS workflow.

Current features:

full-screen or window recording native cursor hide/show behavior on macOS camera overlay + microphone recording timeline editing (trim/crop/zoom/cursor effects/annotations) subtitle generation + rough-cut workflow multi-aspect export (16:9, 9:16, 1:1) and batch export audio export controls (gain, loudness normalization, limiter) It’s still in beta, so stability can vary by machine.

Repo: https://github.com/blueberrycongee/CursorLens Releases: https://github.com/blueberrycongee/CursorLens/releases

I’d really appreciate feedback on:

recording reliability across setups editing UX (especially rough cut/subtitles) export speed/quality tradeoffs

Modern AI agents can execute tools, write to databases, and trigger irreversible actions.

Most teams rely on traditional logging (OpenTelemetry, SIEM, DB audit logs). But under adversarial conditions (audit, litigation, incident response), those logs depend on platform trust and cannot typically be verified independently of the system that produced them.

I’m exploring whether agent runtime evidence should be:

-deterministically canonicalized

-hash-chained

-signed

-optionally externally timestamped

-verifiable offline

The goal isn’t observability. It’s defensibility.

Open questions:

1.Is RFC 3161-style timestamping sufficient to deter practical backdating, or is some form of multi-witness anchoring necessary?

2.In real distributed agent systems, where does replayability break down?

3.At what scale or risk threshold does this move from overengineering to necessary?

Not looking for blockchain/ledger answers — more interested in models that integrate with existing infrastructure.

Trying to understand whether this addresses a real integrity gap in production systems.

I got tired of scrolling through endless WhatsApp group chats, so I built a browser extension that does the scrolling for me. You can tag contacts as "important" to scroll slower when their messages are in view. You can also hide messages from specific users (click-to-unhide like Slack has).

Hi HN,

I built Microstock.pro, an analytics and AI research tool for stock contributors, primarily focused on Adobe Stock.

As a stock creator, I noticed that most contributors rely on guesswork when choosing what to create. There’s very little structured data available to identify profitable niches, keyword opportunities, and market gaps before investing hours into content production.

Microstock.pro aims to solve that by providing:

Keyword and niche research

Trend discovery

Competitive insights

AI-assisted content idea generation

Data-driven validation before uploading

The platform is specialized for Adobe Stock, but the research insights can also inspire strategies for other marketplaces like Shutterstock, since trends often overlap.

It’s still early-stage and I’m actively improving features based on feedback. I’d really appreciate thoughts from the HN community — especially from creators, indie hackers, or anyone working with marketplace analytics.

Happy to answer any technical or product questions.

The article explores the impact of AI on product development, arguing that in the era of AI, the traditional concept of a 'product' is becoming obsolete. It suggests that as AI becomes more integrated into our lives, the focus will shift from discrete products to seamless, personalized experiences.

Lumalabs AI, a leading AI research and development company, is seeking a highly skilled and experienced AI Engineer to join their team. The role involves collaborating on cutting-edge AI projects and contributing to the development of innovative AI solutions.

The article explores the potential of blockchain technology to transform the healthcare industry, highlighting its ability to securely store and share medical data, streamline administrative processes, and improve patient outcomes through enhanced data tracking and analysis.

The U.S. Department of the Treasury has released an AI strategy that outlines its approach to leveraging artificial intelligence to enhance its mission, manage risks, and promote responsible AI development and use within the financial sector and across government.

Lume is a new app that provides a comprehensive set of tools for managing and optimizing your digital life, including cloud storage, task management, and personal finance tracking, all within a secure and private platform.

The article discusses how a recent software market downturn has significantly reduced the net worth of Atlassian's co-founders, Mike Cannon-Brookes and Scott Farquhar, by $7.2 billion. It highlights the impact of the volatile technology sector on the personal wealth of tech entrepreneurs.

Stop juggling multiple tools for simple tasks. Shorten links or send files instantly. Simplify your workflow today. You can get started in just three simple steps by creating your account, choosing your tool, and sharing your links immediately. Start in 30 seconds with no credit card required and the freedom to cancel anytime.

SharpAI is an open-source, low-cost, and easy-to-use AI platform that aims to democratize artificial intelligence and make it accessible to everyone, enabling individuals and organizations to build and deploy AI applications without the need for extensive technical expertise.

The article explores the rise of digital employees, such as OpenClaw bots, that are designed to automate and streamline various business tasks. It discusses how these AI-powered digital assistants can enhance productivity, reduce operational costs, and enable companies to focus on core business activities.

The article discusses the challenges facing Denmark's postal service, PostNord, as it transitions to adapt to the rise of digital communication and declining mail volumes. It highlights the company's efforts to transform its business model and find new revenue streams to remain viable in the changing landscape.

The article discusses how workers who can outpace and collaborate with AI will be less likely to be replaced by automation. It highlights the importance of developing skills that complement AI's capabilities and emphasizes the need for adaptability and continuous learning in the face of technological advancements.

The article discusses the advantages of using asynchronous programming techniques, including improved responsiveness, better resource utilization, and the ability to handle long-running operations without blocking the main thread. It provides an overview of key concepts and principles related to asynchronous programming.

The article discusses the importance of avoiding duplication in metrics queries, as it can lead to increased complexity, maintenance issues, and potential data inconsistencies. It suggests using a centralized data model and abstraction layers to promote reuse and maintainability of metrics queries.

A study finds that baby chicks can perceive the Bouba-Kiki effect, a phenomenon where certain sounds are associated with certain shapes, challenging the theory that this effect is a uniquely human trait linked to language development.

Stop Refreshing Amazon. Get Emailed When It Restocks. Pokémon booster boxes and Elite Trainer Boxes on Amazon sell out without warning and restock unpredictably. Set a free Pokémon TCG restock alert and get an email the instant your set is back in stock at your target price. No more manual checking.

The article discusses how OpenAI, the artificial intelligence research company, might compete with other tech giants in the future. It explores the potential challenges and opportunities OpenAI faces as it continues to develop and commercialize its AI technologies.

The article examines the childhood experiences and environments of exceptional individuals, exploring how factors such as parental support, education, and early life challenges may have contributed to their exceptional achievements.