cloudking

Learning flex box has great ROI for saving your time and sanity wrangling CSS.

Why hasn't this space been disrupted? All of these apps are the same scam-like experience filled with dark pattern UX. They purposely limit communication & exposure behind paywalls, while allowing bots to roam free. Also most of them are owned by the same company https://en.wikipedia.org/wiki/Match_Group

Spent hours solving the same problem, landed on this tool: https://rotato.app/tools/converter

It will take transparent MP4/MOV as input and output compatible versions for Safari (HEVC) and Chrome (WEBM). Then you simply use a tag that includes both e.g:

    <video playsinline preload="metadata">
      <source src="video.mp4" type="video/mp4; codecs=hvc1">
      <source src="video.webm" type="video/webm">
    </video>

Yep, I've found fail2ban wired to NGINX logs is a good solution against brute force and DDoS attacks on my WordPress sites.

+1 to the 1000. Definitely a smart move and I'd love to see more MVPs do this.

Does anyone understand this theory? When I read through it and listened to his talk, it sounded like a bunch of different ideas stitched together without an underlying explanation.

I needed to temporarily subscribe to an Acrobat plan to work with a specific PDF file from a client for 1 day. They deliberately implement a dark pattern that doesn't allow you to cancel a subscription immediately after creation. It claims that your subscription is "processing" and you have to come back later to cancel it.

Looks good, does this run entirely locally? Right now it asks for permissions to all websites, can you restrict it to ChatGPT and Claude only?

Digital Ocean droplets start at $4 USD/month and super reliable. https://www.digitalocean.com/products/droplets

It's literally a robot

I really like it for back support, also you can get it with a built in headrest

+1 for the Steelcase Leap V2, look for a used one, brand new prices are ridiculous. Lots of office spaces sell these off for cheap.

When the code interpreter is running you'll see an "Analyzing..." message, you can click on it to see the code it is executing and do a code review.

The code interpreter is running real code against the real files in the Linux environment OP posted, it's not hallucinating tokens at this point.

It works quite quite well for manipulating files. I needed to merge a few different formats of CSV files into a single format, it was able to write/execute the merging code against the files I uploaded and give me back the resulting merged file. Took about 1 minute of effort writing the prompt.

Something short and easy for people to remember and tell each other, think about all that free word of mouth marketing you can get because people love your product and want to share it.

The worst names are the ones that you have to spell out, or have some weird character substitutions. It makes it hard to spread via word of mouth and find on search.

Bonus points if it's related directly to the product, but it can also be an abstract reference if that isn't possible.

Lastly, don't overthink or waste too much time on naming it. Spend time building a great product that solves a real problem and name it closer to launch if you're stuck.

I think the challenge is you can't QA every edge case, because there's unlimited edge cases.

I think this problem exists for any feature that needs to span multiple Google products, the organizational structure inherently makes it difficult for these features to be reliable and successful. Regarding the AI strategy, you can see it already causing challenges as each team is integrating Gemini technology into their products separately, instead of being a cohesive top-down vision and strategy. It's why Gemini can't access data from all the Google products, and each product that does support it has it's own integration.

I will caveat that though, I am bullish on Google and AI in general given the incredible talent and vast amount of data Google has access to. I think eventually they will make a technological breakthrough that puts them back in the leader position - they had it with transformers and just didn't know how to turn it into a product.

The team behind Takeout genuinely care about making it easy to export and transfer your data out of Google. The problem is that team doesn't control any of the underlying services and resources that Takeout needs to pull data from. Every product at Google is run by a separate team, and essentially is a separate business unit within Google, with their own resources and priorities. Making sure that their products work reliably with Takeout is not a high priority for most teams, integrating is more of a compliance checkbox, and once it's "done" they will move engineering resources onto other features. That's why Takeout can be unreliable.

I found https://getrapidemo.com/ but looks like it's still under development

What do you use it for? What problems does it solve?

I'm still looking for a Windows version of https://screen.studio

Makes sense, my biggest takeaway from observing folks in many different roles interact with LLMs is this: they simply don't know how to prompt effectively.

There is no problem with the chat UX, if you know the right techniques to get optimal output, but writing effective prompts is a technical skill similar to programming - most folks that interact with computers are not highly technical.

If we design software powered by LLMs understanding that effective prompting is a skill most users don't have, then we should build UX that abstracts prompting away. Of course there are going to be use cases where a user needs to provide input to the LLM, but that UX also can be assistive and require minimal cognitive overhead (e.g less raw text prompt input, more clicks on buttons/forms etc to a backend prompt builder).

...or no UX, use these systems in the backend with well crafted prompts and abstract the need to instruct LLMs away from the user?

The most interesting chart is the "fraction of code created with AI assistance via code completion" trending up to 50%

Yes, it's important to start with a clear problem to solve. The ideas are great if they solve a real problem in an innovative or more efficient way than current solutions.

Yep, GoDaddy and NameCheap are reliable registrars with good support and fast updating.

What problem are you trying to solve?

I feel like this is a tough one for North American shoppers who like to try things on in person and are used to it. It may work for other countries where they don't have as many available shopping malls and plazas.

Sounds a lot like https://rewind.ai

This is the correct answer. Caches in local PoPs https://cloud.google.com/cdn/docs/locations