kuatroka

Not really a big problem. Switch to KIMI, Qwen, GLM. You’ll get 95% quality of GPT or Anthropic for a 10th of a price. I feel like the real dependency is more mental, more of a habit but if you actually dip your toes outside OpenAI, Anthropic, Gemini from time to time, you realise that the actual difference in code is not huge if prompted in a good way. Maybe you’ll have to tell it to do something twice and it won’t be a one shot, but it’s really not an issue at all.

Spokenly is great too, but Handy's minimalistic and focused UI won me over.

Yes, I’ve got the same situation too. I kind of learned to wait for one or two seconds before talking. I am using it with the AirPods, so maybe it’s indeed the Bluetooth thing.

I did have tried, but the ease of installing handy as just a macOS app is so much simpler than needing to constantly run in npm commands. I think at the time when I was checking it, which was a couple of months ago they did not have the parakeet model, which is a non-whisper model, so I had decided against it. If I remember correctly, the UI was also not the smoothest.

Handy’s ui is so clean and minimalistic that you always know what to do or where to go. Yes, it lacks in some advanced features, but honestly, I’ve been using it for two months now and I’ve never looked back or searched for any other STT app.

Love it. I had been searching for STT app for weeks. Every single app was either paid as a one off or had a monthly subscription. It felt a bit ridiculous having to pay when it’s all powered by such small models on the back end. So I decided to build my own. But then I found “Handy” and it’s been a really amazing partner for me. Super fast, super simple, doesn’t get in my way and it’s constantly updated. I just love it. Thanks a lot for making it! Thanks a lot

P.S. The post processing that you are talking about, wouldn’t it be awesome.

Cool guide

https://hostup.se/en

Is much cheaper than hetzner and still in Europe.

Does it mean I can build and deploy a SQLite based app on fly.io with this approach without using Postgres? If yes, how does the pricing for the permanent storage ( add) needed for SQLite works? Thanks

not sure what it means. I've got macbook pro M1 Max with 64Gb. Any other model runs perfectly fine. Only Phi4 blanks on me

I’ve pulled and ran it. It launches fine, but when I actually ask it anything I constantly get just a blank line. Does anyone else experience this?

Flowbite - https://flowbite.com/docs/getting-started/phoenix/ install guide for Phoenix

Preline - https://preline.co/docs/frameworks-laravel.html You can use the Laravel guide and adapt it to Phoenix. Quite trivial install

These two UI component libraries are mostly HTML and Tailwind, so not too complex to use.

flop_phoenix is great. If it lacks anything maybe it'd be great to just enhance it instead of building anything new. The author also has cursor based functionality

Second that

The flop is a good idea. Love the flop

Thank you and the team for your hard work, and congratulations on the release!

Suggestions for Demos:

1.Charting Libraries Integration

There’s currently a lack of demos showcasing LiveView integrated with powerful charting libraries like Apache ECharts, Plot, Chart.js, etc. A demo of a LiveView-powered dashboard using one of these libraries, connected to a database like SQLite (for simplicity) or DuckDB (for speed and demonstrating integrations beyond Ecto-native DBs), would be fantastic.

Emphasizes interactivity: For example, demonstrate how a server-based LiveView can handle actions such as mouse hover on a chart to update tooltips/labels, click-and-zoom interactions, or connected charts with brush functionality.

2.UI Component Libraries

A demo showcasing robust integration with UI component libraries would also be valuable. Features like tables with pagination, sorting, filtering, and autocomplete/typeahead functionality within modals could be a strong focus.

I’d suggest leveraging lightweight libraries like Flowbite or Preline, as they integrate seamlessly with Phoenix and rely on almost pure HTML and Tailwind for styling.

For additional inspiration on speedy charting libraries, this resource might be useful:

https://github.com/leeoniya/uPlot

I'll check the raster, contour, and cell marks. Thanks.

"I don’t understand your comment about the “D3 example.”..." 1. When I visit the Plot Gallery https://observablehq.com/@observablehq/plot-gallery 2. Go down the page to "More from Observable creators" 3. Select an example I like, for example - https://observablehq.com/d/3ea4b4458fed9242?page=2&collectio...

It turns out it's D3, not Plot. I think you just have all possible viz in this section, but for me as a user coming from the Observable Plot page and clicking on "See more..." my expectation is to see only examples of what could be done with Plot, not both D3 and Plot. I need to explicitly click on each link an check if it's Plot based or not. It gets tiresome and the curiosity just wanes away. Thanks.

Are you planning to add new UI components like Data Table or other in the future or it’s purely Plotting and Data ingestion and the UI through Tailwind or CSS or would it be possible to add UI libraries like shadcn or DaisyUI to make it a full fledged web site? Thanks

Thank you I wonder if for #3 there is a way of somehow to keep the data hidden and only let people see the chart without hacking their way to see the underlying data

So the 200Gb loading and digesting part is totally separate from the Observable Framework, right? You just do it with a standard ( non wasm duckdb as part of ETL) and later you just direct Observable Framework to read and plot the 8Gb file? Thanks

3. Apache echarts are much more interactive out of the box. The API is indeed clunky, but they’ve got all the chart type and all interactions you might need. IMHO, Plot in comparison, is very limited in interactivity and even chart types ( there are no heat maps or donuts).

echarts have a huge example library with clear examples and though Plot has it too, the library is not thought out well. You might looks at an example in the Plot Library only to realize later that it’s a D3 example. On the good side, the API in Plot is much cleaner and easier to work with.

A couple of questions:

1. Let's say I got a Sqlite/Duckdb database file on my server. It's got multiple tables and some of them 100M to 150M records. I want to create a plot/table that would have a slider/filter to only bring and show a slice of data at a time. Since it's statically generated data, how is this interactivity achieved? All the possible facets of data filtered by which ever way will be generated? Won't it be huge and how long will it take to generates this static data or is there an actual call back to the server to the duckdb file (I assume it works with .duckdb file too?)

2. If Observable Framework provides the front-end, does it mean I can use any auth library if I want to create a web site with a log in and subscription options?

3. If it's a static web page, does it mean that at any time a user views a chart, they will also be able to go to the Dev Tools and download the file with data that's behind the viz?

4. When (if you can share of course) is the planned release of Plot's interactions: zoom, pan, interactive legend, brush?

5. Deployment - with big parquet, sqlite, csv files, it's impossible to do CI/CO through github or vercel and such. Will your hosting services offer an option to host those files and runtimes to generate them?

Thanks