Archive for September 8, 2026

Nikon is Developing Nine Cinema Lenses in the NIKKOR Z Cinema T1.9 VV Series 

Posted in Commentary with tags on September 8, 2026 by itnerd

Nikon Canada Inc. is pleased to announce the development of the NIKKOR Z CINEMA T1.9 VV series of cinema lenses, designed for the cinema, high-end productions, and creators, aiming to provide them with high-quality solutions. The series will comprise nine lenses, including the NIKKOR Z CINEMA 50mm T1.9 VV.

The NIKKOR Z CINEMA T1.9 VV series will further enrich the visual expression of the NIKKOR Z CINEMA line through a new design philosophy that delivers both the rendering performance required by the cinema industry and the practicality needed in professional production environments. In addition, this will be the first NIKKOR lens series to feature an image circle large enough to cover the V-RAPTOR [X] VV sensor*, which is larger than a full frame sensor. The lenses will also feature a highly precise autofocus mechanism to support creators’ workflows.

Nikon will continue to contribute to the development of imaging culture that includes the field of cinema, with the hope of expanding possibilities for imaging expression. Filmmakers and content creators can expect great things from the new synergy between Nikon and RED.

Guest Post: iPhone users can remove 98% of pre-installed apps, Samsung users only 57%

Posted in Commentary with tags on September 8, 2026 by itnerd

The average smartphone user has 60 to 90 apps, using only ~10 daily and ~30 monthly. As a result, 60% to 70% of apps sit unused in the background, collecting personal data. New analysis by Surfshark revealed that bloatware begins with a brand-new phone, as manufacturers load a substantial number of pre-installed apps onto their devices before they reach the user. Samsung leads with 88 preloaded user-facing apps, followed by Google with 71, Xiaomi with 61, and Apple’s iPhone with 50. Interestingly, some of them include third-party apps like Facebook or Instagram that are privacy-invasive, especially when they are never used and just sit in the background.

“Data collection practices by popular applications, particularly social media platforms and chatbots, raise privacy concerns. While certain data points are necessary for basic operational functionality, entities may harvest information for targeted advertising or may even share it with undisclosed third parties. As a result, users are highly recommended to audit installed applications, review permissions, and remove or disable unused apps. Even never-used applications can gather personal data and link to your device,” explains Tomas Stamulis, Chief Security Officer at Surfshark.

Analysis shows that Samsung smartphones come preloaded with apps from Samsung, Google, mobile carriers, and third-party partners. In Bayton’s database of voluntarily synced Samsung smartphones, 88 user-facing apps were logged as preloaded, and 57% of those were marked by the Universal Debloater Alliance Next Generation project as safe to remove and not affecting the phone’s functionality. For example, the iPhone comes with up to 50 built-in apps, all developed by Apple, and EU users can remove up to 98% of them, compared to 88% in other countries.

35 out of 88 pre-installed Samsung apps are available on Google Play, collecting an average of 13 data types per app. This includes location-category data — such as approximate location (14 apps), precise location (12 apps), and physical addresses (11 apps) — among many other types of information.

Facebook and Instagram collect the most data among Samsung pre-installed apps, with each gathering 37 of 38 data types — accounting for 97% of the 38 data types listed on Google Play. Other third-party apps make the list too, including Netflix, Microsoft OneDrive, and Link to Windows, which collect 12, 15, and 6 data types, respectively.

In contrast, an evaluation of 47 of 50 pre-installed iOS apps available on the App Store collects an average of 8 data types. This includes location-category data, such as approximate location (19 apps), precise location (8 apps), or physical addresses (5 apps). It also includes behavioral data, user-generated content, and sensitive information.

Stamulis adds that linking your data to a single ecosystem may be convenient, but those seeking a more privacy-focused approach can minimize data collection by using third-party apps.

“Relying entirely on pre-installed applications can affect your privacy, as apps don’t always protect user data as you might expect. Shifting to third-party alternatives that are privacy-focused can help minimize data collection, limit overall exposure, and reduce unwanted targeted ads. It can also mitigate the risks associated with potential data breaches as your personal data is not stored in a single database.”

Google phones offer the least flexibility for removing pre-installed apps

Bayton’s database shows 71 preloaded user-facing apps on Google smartphones, with 38% identified as safe to remove by the Universal Debloater Alliance Next Generation project. The 40 apps on Google Play disclose an average of 13 data types collected per app, including physical addresses (15 apps), approximate location (14 apps), and precise location (11 apps).

Meanwhile, Xiaomi smartphones have 61 preloaded user-facing apps, with 57% marked safe to remove. There are 33 apps that can be found on Google Play and collect an average of 16 data types, including physical addresses (17 apps), approximate location (15 apps), and precise location (11 apps).

On both Google and Xiaomi smartphones, Google Gemini and the Google app are the most data-hungry, each collecting 29 of 38 data types. However, both manufacturers include apps that claim to collect no data: on Google devices, these include Password Manager, Pixel Screenshots, and Pixel Studio, and on Xiaomi devices – Weather, File Manager, and Mi Browser.

Lightsage raises $4M to build the growth stack for internet’software’s newest customer: AI agents

Posted in Commentary with tags on September 8, 2026 by itnerd

The next software customer might never visit a homepage or sit through a product demo. Coding agents like Claude Code, Codex and Cursor can already discover products, choose libraries, install SDKs and call APIs on a user’s behalf. Increasingly, software has to win over machines that can go from finding a product to using it.

Lightsage was built for that paradigm shift. Today, the San Francisco startup announced $4 million in funding led by Nexus Venture Partners, to build the infrastructure for what it calls Agent-Led Growth, or ALG. The round also includes backing from operators across the developer and AI ecosystem, including former Salesforce CTO Steven Tamm, Postman CEO Abhinav Asthana, Apollo CEO Matt Curl, DocuSign President and GM of Growth Robert Chatwani, former GitLab Head of Growth Hila, Resend CEO Zeno, Firecrawl Co-founder Eric, Daytona CEO Ivan, Tinyfish COO Shuhao, and Adam Frankl among others.

From product-led growth to agent-led growth

Software companies have spent decades learning how to convert humans. AI agents are creating a new buyer. A coding agent can now choose a database, API or authentication provider, then start integrating it without ever visiting a vendor’s website. That means visibility alone is no longer enough. The agent still has to understand the docs, choose the right SDK, authenticate and get the product working.

This is where existing GEO (Generative Engine Optimization) products fall short, and where LightSage closes the loop: ensuring agents can actually use and pay for the product.

How Lightsage works

Lightsage gives software companies a way to see their product through an agent’s eyes. The platform runs large-scale simulations across answer engines and coding agents, measuring where a company appears against competitors and what happens next. Agents are given real tasks that require them to navigate documentation, choose the right tooling and successfully use APIs, SDKs, CLIs, MCP servers and Agent Skills.

When they fail, Lightsage pinpoints why. The break might be discoverability, confusing documentation, authentication, an API endpoint, an SDK implementation or an incompatible MCP server. Teams can fix the issue, rerun the workflow and measure whether agent success improves.

Lightsage also provides analytics on real agent traffic: when agents visit a company’s website or docs, what they interact with and whether those journeys turn into product usage. The longer-term goal is to close the loop entirely, feeding those insights back into development and deployment workflows so products continuously improve for agents.

The platform currenty supports Claude Code, Codex, Cursor, GitHub Copilot, OpenCode and a growing range of other coding agents.

Early traction 

Lightsage is starting with developer software, where agent behavior is already easy to observe. Customers including Firecrawl, Reducto, Daytona, Rime and Tinyfish use Lightsage to understand why agents choose certain products, where integrations break and how key workflows perform after product or documentation changes.

A typical use case starts with a coding agent repeatedly recommending a competitor. Lightsage reproduces the same task across products and agents to isolate the cause: visibility, documentation or the product experience itself.

A new growth discipline for software

Agent-Led Growth creates questions traditional analytics cannot answer. Human acquisition can be traced through searches, clicks and sign-ups. Agents may discover, evaluate and use a product without following any of those paths, making their traffic and revenue much harder to attribute.

Their behavior is also less predictable. Different coding agents can approach the same product in different ways, and those patterns shift as models and interfaces change. A workflow that works in one agent may fail in another.

Lightsage believes Agent Experience — how easily AI agents can understand, use and pay for a product — will become a core part of Agent-Led Growth, much as Developer Experience became critical to winning human developers. 

What’s next

Lightsage will use this funding to deepen its agent evaluation, analytics, attribution and optimization capabilities across APIs, SDKs, CLIs, MCP servers and agent skills. Developer tools are just the starting point: as agents begin acting directly across B2B software, infrastructure and payments, Lightsage wants to become the infrastructure companies use to understand, improve and ultimately win the agent channel. To build it, Lightsage is growing its team across technical and commercial roles, and welcomes candidates who want to help define the agent channel at lightsage.com/careers.