标签：#App

Last month my WhatsApp stack moved 89,479 messages. I got no invoice for any of them. That is not a brag, it is the setup for an honest accounting. Because "self-hosting is cheaper" is the least interesting sentence in infrastructure, and it is usually said by someone who has never been paged at 7am by a bot that went quiet at 2am. I want to put a real number on both sides of that trade: the money Twilio would have charged, and the money self-hosting quietly takes back. All the numbers below were pulled or fetched on August 27, 2026 . The rate cards move quarterly, so check yours. The traffic, measured rather than estimated Five WhatsApp inboxes, bridged from WAHA into a self-hosted Chatwoot. Thirty days: messages Total 89,479 Inbound (from users) 45,563 Outbound (from us) 43,916 Most benchmarks stop here, multiply by a per-message rate, and publish. That answer is wrong, because Meta does not charge per message. It charges per template sent outside an open customer service window. Multiplying my full 89,479 by a template rate overstates the Meta line by about 3x. Multiplying just the outbound half still overstates it by about 1.5x. Since November 1, 2024 non-template messages are free. Since July 1, 2025 utility templates answering a user inside an open 24-hour window are also free. So the only line that costs money is the outbound message that goes out when nobody has written to you in the last day. Which means the number you actually need is not "how many messages," it is "how many outbound messages had no inbound message from that contact in the preceding 24 hours." The query that produces the real bill Here it is against Chatwoot's schema. It uses a window function rather than a correlated NOT EXISTS , because on a messages table of any size the correlated version will happily eat your connection pool. WITH src AS ( SELECT m . conversation_id , m . created_at , m . message_type FROM messages m WHERE m . inbox_id IN ( 27 , 23 , 46 , 50 , 48 ) -- your WhatsApp in

When it comes to Apple Silicon, a higher number doesn't necessarily mean a better chip.

Managing library updates can be tedious at times. Learn how the GitHub Copilot app can handle this type of repetitive task. The post GitHub Copilot app for Beginners: Automate Dependabot pull request triage appeared first on The GitHub Blog .

Consumer AI apps need to stop making users learn their product architecture.

The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained to cheat and to communicate with each other, according to an OpenAI technical report released today. The hack, which a group of agents undertook to find solutions for a cybersecurity test that they were stuck on, has confirmed some experts’…

Flipboard is acquiring Bluesky feed-building startup Graze, bringing its privacy-friendly ad technology and creator monetization tools into Flipboard’s growing open social web ecosystem.

Ads have started popping up in Apple Maps, following Apple's announcement in March that it would let businesses pay for top spots. They're appearing on my iPhone as the first entry in the "suggested places" section in search, but Apple says they'll also show up at the top of search results. According to 9to5Mac, the […]

The event is expected to be a notable one, as Apple is rumored to unveil its long-awaited foldable iPhone. It'll also be the first Apple event with John Ternus as CEO, who is scheduled to take the reins of the tech giant from Tim Cook on September 1.

Is it finally time to see the foldable iPhone?

Apple's next launch event will take place on September 9th at 1PM ET. Invites to the event, which has a "Surprise and shine" tagline, were sent out on Wednesday. The event will take place at the Steve Jobs Theater in Apple Park, but there will also be a livestream on Apple's website. September's show could […]

One of the most notable changes is that Meta plans to implement a daily two-hour time limit for teens that can only be disabled with parental permission.

A modest proposal for Apple to add a lower-cost option to its Mac lineup.

Ring says users can still opt for end-to-end encryption.

Bluesky's new 10-minute video support includes faster upload speeds, too.

This is a follow-up to an article we published in The Hacker News introducing time to revoke as a critical CISO metric. This version provides a practical guide for measuring it across exposed secrets and non-human identities. 👉 TL;DR: Time to revoke is a security metric that measures how long an exposed credential remains usable after it has been confirmed valid. Measuring it requires teams to record when a credential is validated and when its invalidation is confirmed. From that baseline, CISOs can track median and P90 time to revoke, the percentage of exposed secrets revoked within SLA, owner coverage, the percentage that remain valid after detection, and the incidents that require manual escalation. Detection is not the same as credential revocation Detection tells you when a credential was found. A remediation ticket tells you when work was assigned or closed. Neither tells you whether the exposed access was fully neutralized. For leaked credentials, "Did we find it?" is the first question. "How long did it remain valid?" is just as important, if not more so. If a leaked API key, cloud credential, service account token, OAuth secret, private key, or database connection string is still valid, it is a point of ingress. Until it is revoked, rotated, or otherwise invalidated, it remains a path an attacker can use. Credential rotation only counts when the exposed credential is disabled, expired, or otherwise rendered unusable. That makes time to revoke a critical CISO metric. It connects detection to business risk by measuring the exposure window security teams need to close. What is time to revoke in secrets remediation? Time to revoke measures how long an exposed credential remains usable after it has been confirmed valid. Time to revoke = confirmed invalidation timestamp − validation timestamp The clock starts when the organization verifies that the credential works and stops when it confirms that the credential can no longer be used. Closing a ticket, deleting a

Quick Start makes things a lot easier.

A technically perfect app can still fail. It can have clean code, modern architecture, powerful APIs, and impressive features—and still leave users uninstalling it, abandoning transactions, or switching to a competitor. Because users don't experience your code.They experience the product. That is why developers and businesses need to look beyond functionality and ask a more important question: “Does this software make the user’s life easier?” The Real Cost of a Poor Digital Experience Customer expectations are rising quickly. According to PwC’s 2025 Customer Experience Survey, 70% of executives say customer expectations are evolving faster than their companies can adapt. Even more importantly, 29% of consumers said they stopped using or buying from a brand because of poor customer experience. That means a frustrating digital experience isn't simply a UX problem. It can become a business problem . A confusing checkout flow, slow screen, unnecessary registration step, broken search function, or poorly designed notification can turn a potential customer into a lost customer. And users rarely tell you exactly what went wrong. They simply leave. More Features Don't Always Mean More Value One of the biggest mistakes in software development is assuming that adding more features automatically makes a product better. It doesn't. Imagine an app with: 30+ features AI integration Multiple dashboards Complex personalization Advanced analytics …but users struggle to complete the one task they downloaded the app for. That's not innovation. That's friction. A better development approach starts with identifying the core user problem and then building around it. Before adding a feature, ask: What problem does this solve? If the answer isn't clear, the feature may not belong in the product. Performance Is Part of User Experience Developers often separate performance from UX. Users don't. To them, a slow API, delayed screen, frozen button, or failed transaction is simply a bad experien

Puzzles and games have been central to AI development since the very beginning. Just as we humans like to test our smarts with crosswords or logic puzzles, developers can test how far models have advanced with a gaming gauntlet. The term “machine learning” was popularized in a 1959 article by the IBM computer scientist Arthur…

When my oldest child was born, I immediately set up Gmail and Twitter accounts in her name. I broadly announced her birth online and proceeded to plaster her photo across all sorts of platforms. In short, I began creating her digital footprint long before she could stand on her own two feet. Fast-forward a couple…

It’s a glorious day in Kirkland, Washington, an affluent Seattle suburb on the eastern shore of Lake Washington. The temperature is in the mid-80s, and the sky is incapable of being any more blue. The view from the Gates Ventures conference room overlooks the Carillon Point Marina, where a flotilla of expensive boats bob in…