iowahansen

Happy Kagi user here. I'm gladly paying $25 per month because of all their AI features, which work well for me overall. Yes, I could set up API keys on OpenAI, Anthropic, Google and Mistral and get a similar experience for less, but I prefer the convenience of their interface and have clean search results bundled into the experience. I will continue to recommend them and hope that T-Shirt becomes available soon.

With over 100 sensors and 14 nano cameras, the e1 precisely analyses your teeth, gums and automatically removes over 95% of the detected biofilm, in less than a minute.

Real-world "things we ran into" stories like this are super helpful when choosing a service or technology.

Unfortunately, I have a similar experience with Firebase, where I wish I would have known that:

* Don't like the text of your Firebase Auth SMS verification message that we send on your behalf -> tough luck

* Your app name is longer than 15 characters? We are not going to include that hash in your Firebase Auth SMS message that is required by Android to perform an automatic login.

* Global Firebase Auth SMS pricing does not work you economically? Welcome to implement the whole thing yourself anyways.

* Dealing with development environments is flakey, as Firebase's emulators work 98% similar to production, but you will regularly hit things that are different.

* You can't completely automate environment creation/tear down, as not everything is covered by Terraform or Google's own APIs, so you will end up doing manual things in their admin interface.

* Real-time subscriptions in Firestore end up not being worth the tight schema coupling between client and server, as you can't control when the updates fire and you end up with a lot more unintended side effects than what this technology benefits you.

So after a year of workarounds you finally end up deeply understanding the trade-offs involved in Firebase and make the decision that its downsides exceed its out of the box benefits. :(

SEEKING FREELANCER | Remote | Contract

Looking for help with converting a small Android app (36 .java files) to Kotlin and add two smaller features.

Interested? -> [email protected]

--8<--

Existing Laravel/MySQL-based dashboard needs a successor. Looking for someone who has experience creating Nova dashboards with role-based access control.

Interested? -> [email protected]

--8<--

Looking for someone who has experience building scheduling/workflow systems to convert existing crontab that simply runs 30 scripts at different times pulling data from external sources (that sometimes fail and need to be retried) and also have dependencies between each other into a more robust & manageable system.

Interested? -> [email protected]

My company ran into this time and again, trying to get our browser pre-installed by the manufacturer only to loose the deal last minute as Google would threaten to withhold device certification if there is a different browser pre-installed (beside Google Chrome).

Google is a big bully and if you try to compete with them in an area they care about, they will use their market dominance to keep your product out. They have been deserving that fine for a long time.

Interesting, thank you. So a potential mitigation strategy could look like this:

- Route 53 failover record * primary record: Google global load balancer IP * secondary record: Route 53 Geolocation set (really need that latency) - Elastic Load balancer record per region * routes to mirror region GCP IP address (ELB's application load balancer seems to able to point to AWS external IPs) * optionally spin up mirror infrastructure in AWS

Seems brittle. Does Azure support global load balancing with external IPs?

Does anyone have such (or similar) setup actually in production? How did it work today?

Traffic is coming back. Looks like Google fixed their load balancer problem within 28 minutes.

Grrr. So much for global redundancy.

What is going to be faster? Updating DNS records with TTL 3600 to point to a single data center or Google fixing their problem.

We host DNS at AWS, but servers in GCP. Should we use AWS's automatic DNS failover feature to cover for such a case?

100 grams of shrimp are roughly 100 calories. Let's generously assume that one shrimp from the video yields 200 grams of meat. So he would need to continuously catch 10 shrimp a day to satisfy a 2000 calorie diet. Seems to me that the shrimp population of this stream in the video would be exhausted pretty quickly and he would need to move elsewhere to continue hitting his calorie goals.

Given that we are surrounded by an incredible amount of high-calorie food (100g of a Snicker's bar provide 488 calories), it is easy to forget how difficult it is to source calories in the wild.