@BTCingularity, have a look on our newest version of MoonApp at @Zapstore, we've added the widgets you requested :)

Zapstore

MoonApp — Zapstore

MoonApp calculates moonrise, lunar transit and moonset for any location on Earth, handles the timezone properly, and says plainly when the moon doe...

A link can say more about you than the page it opens. A link to a rain jacket in a shop's newsletter often carries extra parts after the address: which newsletter you came from, which campaign, and sometimes an ID that is unique to your click. Share that link with a friend and those parts travel with it. QR codes add a second problem. You cannot read one before you scan it, and a sticker over the real code looks just the same. So we built CheckLink, the new app in @Stormberry Labs. Paste a link, share one into it from any app, or scan a QR code, and it shows what the link holds before anything is opened. The parts that tell Google, Meta, Amazon and others about your click are marked in red, each with who learns it and what it tells. Untick anything you want to keep, then copy or share the clean link. For QR codes it says in plain words what the code holds. Payment requests are shown, never paid. When it finds nothing to point out, it says so, and reminds you that this does not prove a site is genuine. One permission, the camera, only when you press Scan. No internet permission at all. Free, no account, open source. Version 0.0.1, our first and early release. Get it on Android through @Zapstore

Zapstore

CheckLink — Zapstore

CheckLink is a second look at links and QR codes. It shows what a link holds before you share or open it: the parts that tell Google, Meta, Amazon ...

The code:

GitHub

GitHub - StormberryAS/CheckLink: A second look at links and QR codes, on your own device.

A second look at links and QR codes, on your own device. - StormberryAS/CheckLink

#Stormberry #privacy #android #FOSS #Zapstore

Check our reaction emoji! :stormberry: View article → #Stormberry #Nostr #CustomEmoji

Stormberry AS

Stormberry AS: Operational AI Partner

Stormberry AS is an operational AI partner in Norway. AI in your daily operations, on your sales pipeline, and a synthesis ready for your next stra...

A photo can say more than it shows, starting with where you stood when you took it. Most phone cameras write the date and time to the second and the phone model into every photo, and if you ever let the camera use your location, the GPS position too. Many dedicated cameras add their serial number, and cameras and editing software can add your name. Some platforms remove this when you upload. A photo sent as an email attachment, as a file in a chat or through a shared folder link usually keeps all of it. So we built MetadataScrubber, the newest app in Stormberry Labs. It lists what a photo carries besides the picture, ticks the items to remove before sharing publicly, removes only what you choose, normally without re-saving the picture, and reads the new file back so you can see what is left. It runs entirely on your own device: load it, switch off your network, and it keeps working. The page's own security policy also stops it from uploading anything. JPEG, PNG, WebP and HEIC. Free, no account, open source. Stormberry Labs is where we build a functioning prototype to start an idea. If you have one sitting at that stage, we are glad to talk. Try it on a photo you were about to share:

Stormberry Labs

MetadataScrubber | Remove hidden information from photos, on your device

See what a photo reveals, from GPS position to camera serial number, and remove it before you share. JPEG, PNG, WebP and HEIC. Runs entirely in you...

The code is open for anyone to check:

GitHub

GitHub - StormberryAS/MetadataScrubber: Remove hidden metadata from photos before you share them, entirely in your browser.

Remove hidden metadata from photos before you share them, entirely in your browser. - StormberryAS/MetadataScrubber

Download at Zapstore:

Zapstore

MetadataScrubber — Zapstore

MetadataScrubber shows what a photo carries besides the picture itself, lets you choose what to remove, and then reads the new file back so you can...

#Stormberry #privacy #photography #opensource #zapstore

Generative AI now reaches 80 per cent of occupations and more than 40 per cent of tasks. In most of those occupations, fewer than half the workers actually use it. Only 2.8 per cent of tasks show adoption above 50 per cent. None passes 70. That is the shape of a tool that has been made available and not yet built into how the work gets done. Everybody has access. Almost nothing has become the default method. The distinction matters when you are the one paying. License counts and login rates measure distribution. They say nothing about whether a task got faster, cheaper or more consistent, and they are the numbers most likely to appear on the slide when someone asks how the rollout is going. If you have bought seats, pick three or four specific tasks and measure those instead. Time to produce a quote. Hours spent on monthly reporting. Rework on a standard document. If none of them moved, the answer is not more training. It is that the tool was never wired into the work. The task-level adoption table is the part of the paper to read, not the occupation-level figures. Mapping your own highest-volume tasks against it is a short piece of work, and it is where Stormberry starts an AI review. Source: NBER, August 2026.

NBER

What Work Does Generative AI Do?

Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating resear...

Stormberry AS

The Loop: Operational AI Partner | Stormberry AS

Stormberry

#AI #adoption #productivity #Stormberry

Three findings on how customers respond to artificial intelligence, from research summarised by MIT Sloan Management Review. First, people avoid the chatbot even when it costs them nothing. Participants chose it only 28 per cent of the time when the wait was identical either way. Second, and more useful, the effect is not symmetrical. Across studies with more than 82,000 participants, customers accepted a worse-than-expected offer 78.6 per cent of the time when it came from a machine, against 60.4 per cent from a person. But humans were better at delivering a better-than-expected offer, 89 per cent against 76. The explanation is that nobody reads intent into a system. There is no generosity to credit and no meanness to resent. Third, a meta-analysis of 163 studies puts adoption down to two things: whether the customer believes the machine is capable, and how much personalisation the task needs. That last pair is a better test than choosing by department. Before you automate anything customer-facing, sort your interactions by whether the customer expects to be recognised. Start where they do not. Keep a person where they do, and wherever you have good news to give. Source: MIT Sloan Management Review, 2026-08-31

Stormberry AS

The Loop: Operational AI Partner | Stormberry AS

Stormberry

#AI #customerexperience #automation #Stormberry

Anthropic has proposed a specification for connecting AI agents to laboratory instruments and industrial robots. It defines read and write operations plus device discovery, with three ways to drive it. A research preview is running at a neuroscience institute, with Genentech, Qiagen, Tecan, Danaher and Doosan Robotics among the partners. The problem it addresses is genuinely dull and genuinely expensive. Getting a new instrument or machine talking to your existing systems takes weeks, sometimes months, of bespoke integration work, every single time. Anthropic's own caveat is the honest part: language models still lack physical intuition. This is a way to connect an agent to a machine, not a claim that the agent can run your production line. The specification is not open source yet either. Whether or not this particular standard wins, the direction is clear enough. If your company runs instruments or machines, document your device interfaces now, while nobody is under pressure. Clean, documented interfaces are what make any future connection cheap. Undocumented ones are what make it a project. Source: Anthropic

Stormberry AS

The Loop: Operational AI Partner | Stormberry AS

Stormberry

#AI #automation #robotics #Stormberry

One more eclipse, this time lunar, and only for the early birds. You can use our EclipseTracker at eclipse.stormberry.as

Stormberry Labs

EclipseTracker | Every Solar and Lunar Eclipse to 2100

Every solar and lunar eclipse to 2100 from NASA

#eclipse #astronomy #android #Stormberry

Two security firms say they ran 17 million offensive actions against live systems over three days. The result: 38 validated attack paths and 238 findings, work they estimate would have taken a five-person team 2,400 hours. Treat the arithmetic with the usual caution. A count of findings is a count of things found, not of things worth fixing, and the firms publishing the number sell the service. The structural point survives that scepticism. Rob Joyce, formerly of the NSA, put it plainly: you are going to be red-teamed whether you pay for it or not. If attacking systems becomes cheap enough to run continuously, an annual penetration test stops measuring your security and starts measuring how long a hole could sit open. Most companies I speak to are not choosing between annual testing and continuous testing. They have never done either. For a small or mid-sized Norwegian company in that position, the first step is not an AI red team. It is a written list of everything you expose to the internet, an ordinary vulnerability scan, and fixing what it finds. Source: The Register, 2026-08-22

Stormberry AS

The Loop: Operational AI Partner | Stormberry AS

Stormberry

#security #redteam #AI #Stormberry

New research says AI agents can reach an average of 45 per cent of company data, and 30 per cent or less at the least prepared organisations. Only about half of the 300 executives surveyed trust the decisions their agents make. Read the small print first. The study is sponsored, produced with a company that sells data infrastructure, and it reports that every single respondent plans to adopt agentic AI within two years. That last figure tells you who agreed to answer the survey, not what the market is doing. The 45 per cent survives the scepticism, because it matches what firms find when they actually look. An agent is only as good as the systems somebody bothered to connect it to. Two thirds of the laggards blamed legacy systems for blocking both growth and real-time decisions. Most failed AI projects I hear about were never model problems. They were plumbing problems wearing a strategy costume. For a small or mid-sized Norwegian company, start there. List the five systems an assistant would need to read to be genuinely useful, then find out what proper access to each would cost. Do that before choosing a vendor. Source: MIT Technology Review Insights, 2026-08-12 The full piece is worth reading if this is relevant to your operations

Stormberry AS

The Loop: Operational AI Partner | Stormberry AS

Stormberry

#AI #data #agents #Stormberry

Brazil has quietly moved the start of split payment. From January 2027 the new consumption taxes begin to be charged, but the automatic collection at the moment of each transaction will not start with them. No new date has been set. The banks that must process it asked for more time. If you sell into Brazil or run a subsidiary there, read this as a cash flow story rather than a tax story. The bill does not change. What changes is when the money leaves you. Today a Brazilian company receives the full amount from the customer and pays the tax later, so that gap works as free short term funding. Under split payment, the tax share never reaches your account at all. For a firm running on thin working capital, that is the difference between comfortable and tight. For a small or mid-sized Norwegian company with Brazilian operations or Brazilian suppliers, use the delay. Model the working capital gap now, while you have months, rather than in the week the new date is finally announced. Source: Gazeta do Povo

Stormberry AS

AI in Your Strategy | Stormberry AS

AI in your strategy. Stormberry uses the year

#Brazil #tax #cashflow #Stormberry

At its maximum this evening, the sun over Norway will look like a yellow banana, in an astrophysicist's phrase. Please do not look at it. Partial here: between 81 and 91 per cent covered, from about 18:45 to 20:55, deepest around 19:40 to 20:00. It is the largest eclipse seen from Norway since 2015. Shops have sold out; a store in Sandnes told NRK its phone rings every five to ten minutes. Never look directly at the sun. Only certified eclipse glasses marked ISO 12312-2 are safe; ordinary sunglasses and welding goggles do not give adequate protection, and the damage can be permanent. Without glasses, use a pinhole projector and watch the projected image, never the sun. If the clouds hold off, the Perseids follow from around 23:00. None of this is a surprise; the sky is arithmetic. So we built EclipseTracker, the newest of the 18 apps in Stormberry Labs. It counts down to the next eclipse, solar or lunar, with the date, visibility region, type and magnitude, from an embedded dataset built on NASA eclipse tables out to 2052. No accounts, no tracking, no external calls. Today the countdown reads zero. Tonight is the first entry in its dataset. Wondering when the next one is, and which region of the world will see it? That is the whole app, offline and without an account. If you have an idea sitting at prototype stage, we are glad to talk.

Stormberry Labs

EclipseTracker | Every Solar and Lunar Eclipse to 2100

Every solar and lunar eclipse to 2100 from NASA

#eclipse #solareclipse #astronomy #norway

Stormberry is in the news today. Askøyværingen, our local newspaper, has written about why we believe AI should be a colleague, not a competitor. The premise is simple. AI is not going to take your job. It should take the tasks you never wanted in the first place, so you have more time for the work you are actually good at. That is what we do at Stormberry: helping small and medium-sized businesses put AI to work in a practical, responsible way. Not big words and glossy presentations, but solutions that hold up on a Tuesday morning. Strategy, training, and navigating the EU AI Act included. Our founder Marcos told the paper he is grateful for everything Norway has given him, and that this is his way of giving something back. We think that is a good place to build a company from. Here is the full article (in Norwegian, behind a paywall): https://www.av-avis.no/nyheter/n/XM4l1x/marcos-vil-gjoere-ki-til-en-kollega-ikke-en-konkurrent If you are wondering what practical AI could look like in your business, send us a message. No jargon, no obligation. #ArtificialIntelligence #AI #KunstigIntelligens #KI #AIAct #SMB #Askøy #Bergen #Norway #Stormberry