If so, what apps do yall use, and what is the number one feature you wish was there, or what s the most annoying pain point when using these dictation apps? Appreciate any feedback, and I m considering giving people lifetime access to my app if they contribute their ideas, guys let s work together to make the best local dictation app out there.

What AI Dictation Tools Actually Are

What AI Dictation Tools Actually Are

Hi Everyone!
Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use.
Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs! 

Hi Everyone!
Solving AI audio end-to-end means tackling both generation and understanding - from text-to-speech to speech-to-text and everything in between. At ElevenLabs, we re working on breakthroughs in AI audio that bridge research and real-world use.
Ask me anything about what we re building, the challenges of scaling AI speech models, and where this space is headed. Also keen to hear what you ve built with ElevenLabs! 

It's been some time since we launched Tyto (getting #15 on PH!). Now we would like to hear from you - did you get a chance to try it yourself already? If not, what was the blocker, how can we help you to get there, what are you missing?
Let us know!
--
Additionally, I've compiled here the list of top currently available resources on Tyto and ai-coustics SDK to help you get started.

• Tyto documentation

• Launch blog with samples

• Post-call analysis tutorial

• Live demo app

My favorite usage of AI currently is helping me prototype and bring to life internal tools that help me with my daily life.

I am preparing for job interviews so I built a tool to help prepare for technical questions.

I am networking so I built a tool to help break the ice at events.

Last week, six AI products launched on Product Hunt that share one move. None of them ask users to open a new app. They embed into surfaces people already touch.

Hardware: Dune Keypad (46 upvotes) sits next to your keyboard with Claude integration. Video calls: Mina Meeting Assistant (47 upvotes). Text threads: folk (51 upvotes). Chat windows: Databox MCP (39 upvotes) plugs business data into Claude via Model Context Protocol. Mac autocomplete: Typeahead (22 upvotes).

The pattern is clear: shipping AI as a new app is the slow path. The fast path is grafting onto a surface the user already touches. The cost of building a standalone AI app dropped 90%+. The cost of getting it noticed did not. Surface integration sidesteps the noticing problem because the surface already has users.

I was recently talking with a group of founders, and we went around sharing tools we're using now. Posting my notes for our community here - would love to know what else people are using!

Voice AI toolkit:

- Vapi

Real-time voice AI is young, and the tools and infrastructure that will power its future are being built right now.

After working with and speaking to hundreds of teams building voice AI agents, we ve learned a lot.

Me First

ChatGPT & Cursor

I'm looking for tools to help me brief clients and get their answers in voice format. Recently, I found @Yapz It really impressed me. Simple to use, the delightful format of briefing people, only a positive experience. The only downside is that I cannot see the whole call transcript, which is crucial for me. Are there any free/cheap AI alternatives that makes summaries of answers and saves transcripts at the same time?

Hey everyone

Quick update on VertoX.

We ve made a lot of progress on the backend and core systems. We re building our own open-source ASR NMT TTS pipeline and aiming for ~1 second real-time translation.

Right now, we support 17 output languages and 10 input languages, with plans to expand further.

Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.

We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.

Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.

We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.

Hi everyone,

One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.

Hi everyone,

One year ago, we launched on this platform with a vision to transform voice AI. Today, Vapi has grown to 100,000+ developers and recently raised our $20M Series A.

There are so many new AI agent platforms ( @Wordware @Lindy @CrewAI @zapier and so on) that I'm finding myself curious how everyone is using them.

What AI agents are you using in production? What do they do? Are they working and reliable? What would make them better? Are they replacing roles? Augmenting existing ones?

I really enjoyed this breakdown by @raphaelschaad and @aaron_epstein (YC partner):