lharries

I used this last week and it's excellent - feels like the same increase in productivity increase from when I first used Cursor.

Are you thinking of doing a hosted version so I can have my team collab on it?

And I found I could open lots of PRs at once but they often need to be dependent on each other - and then I want to make a change to the first one. How are you thinking of better managing that flow?

Can you choose a voice that's native in that language in the voice library: https://elevenlabs.io/app/voice-library?language=es

It should work well for the logged in voices here: https://elevenlabs.io/app/voice-library?language=ro

We are in the process of updated the homepage voices for the new languages

Can you try with this voice? https://elevenlabs.io/app/voice-library?voiceId=xTZlmU8dKXdy...

Voice selection matters more for this model

Which language isn't good and I'll get that fixed asap?

There's lots of great german voices here which should be better: https://elevenlabs.io/app/voice-library/collections/SHEPnUB9...

The voice selection matters a lot for this research preview

If you'd like it to sound like a french person speaking french this voice works great: https://elevenlabs.io/app/voice-library?voiceId=xTZlmU8dKXdy...

Or if you want a french person speaking english with a french accent use that voice with "[French accent]" before it

If you edit the text so that laugh makes sense in the context it should be much more natural like this one: https://x.com/elevenlabsio/status/1930689782331412811

can you try with a Romanian voice?

If you're trying to make an audiobook about an Alabaman visiting Paris this might be quite useful... But in seriousness try it with this voice: https://elevenlabs.io/app/voice-library?voiceId=rbFGGoDXFHtV...

> The result with OpenAI feels much less predictable and of lower production quality than ElevenLabs

Thank you Ian! Credit to our research team for making this possible

For the prosidy, if you choose an expressive voice the prosidy should be larger

We have lots of great British voices in our voice library! Or if you want to hear an american trying to do a british accent add "[British accent]" at the start of the generation

Can you try with a voice that was trained on that language? This research preview is more variable based on the voice chosen

It's a research preview for now but it should work well in 70+ languages. Voices make a big difference, can you try with a few Russian IVCs?

One day I hope this can be made for real

Here at ElevenLabs, we introduced the world's first ultra-realistic Text to Speech model, and recently launched the world's most accurate Speech to Text model, Scribe.

But we're not stopping there.

Today, we're taking one small step for man, and one giant leap for man's best friend.

Introducing Text to Bark, the world's first AI-powered TTS model for dogs.

To use it, just fetch the ElevenLabsClient and then use the model_id Canine v1.

We built it by fine tuning Llama to work with dogs, not just llamas

Yep!

For most people, their life isn't stored in neat Notion database.

Instead, if you have calendar + email + their main messaging apps (e.g. WhatsApp) you cover the majority of it. It's messy and unstructured — but luckily LLMs are great at that

It saves the messages in a local SQLite database on load — so querying shouldn't be an issue as it doesn't contact the WhatsApp server. For sending, this does use the API however and needs more caution

whatsmeow is in Go. Potentially I could have used a gopy instead and done it all in python (or just done it all in Go)

Mainly that I'm more familiar with Python — you're correct however that MCP Go would be a good way to go if I do a bigger refactor

Congrats on the launch! Curious what the main benefit of using a web assembly runtime is? And any plans for python support or mainly focusing on Go for now?

Congrats on the 2.0! If I remember right you started as a more general purpose excel competitor, how did you think about doubling down on the financial planning use case?

Congrats on the launch! If I understand it right you’re interested in collecting this usage data both to bill external clients but also to much more granularly understand the infra costs of a particular feature/product/team? Very cool. Do you have any good examples of the internal usage one? How much do big companies actually care about this?

This looks great! Are you thinking of making it open source but still being a for profit company (with an open core business model etc.)? I would be much more likely to use it if this was the case

Langchain also has a built in Pydantic output parser https://python.langchain.com/en/latest/modules/prompts/outpu...

However I've found it to be generally unreliable and adds a lot of text to each call.

I suspect this can be improved by: - Only writing the parts of the spec which are needed, rather than the full JSON schema spec - Including relevant examples rather than arbitrary JSON schema examples

Thanks! And congrats on the move to open source

PostHog started as a product analytics tool but we now have a fully fledged session recordings product including handling console logging and network requests for debugging. Mobile support is coming shortly too

Disclaimer: I'm Head of Product at PostHog

The demo is incredible and really cool to see you supporting the open source contributors behind the libraries you are using. Is it possible to handle going offline?

It’s worth asking what the root cause of being overweight is?

This leads to two approaches to weight loss that are non-obvious: 1. Cognitive behavioral therapy. Often food is used as a coping mechanism to manage stress or negative emotions. It’s very possible to improve these coping mechanisms. Many of the guys we work with see other life improvements when doing CBT. 2. Medication, particularly the new wave of GLP-1 therapy including Wegovy. Once you’ve been at a heavier weight for a long period of time your body’s hormonal systems resists change, making it hard to have significant weight loss.

We’re a Y Combinator backed company which combines these two approaches specifically targeted towards men.

Here’s our website if you want to learn more https://www.joinfella.com/ or shoot me an email at Luke.harries@joinfella.com