Not another chatbot builder. Not another connect your API to an LLM tool.
I mean the boring, painful infrastructure that you don't want to build every time you ship an AI agent.

Things like:

• Agent orchestration

• RAG

• 900+ integrations

• Evaluations

• Observability & analytics

• LLMOps

• Payments & usage tracking

Basically:

I have been looking at what is actually getting traction on Product Hunt right now. The pattern is clear.

In March, OpenClaw products dominated the leaderboard. Anything with "Claw" in the name got votes. That was a land grab new space, everyone rushing in to claim a spot .

In April, that stopped. The "just build an agent" strategy stopped working. What replaced it? Products that do specific tasks inside workflows you already have .

Here is what the data shows.

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.

Meta just launched Muse, its personal AI agent. AI agents have been everywhere lately, so seeing Meta enter the space was probably just a matter of time. But Meta has one huge advantage: distribution.

WhatsApp, Instagram, Facebook they already have billions of users.

Do you think Meta can become a serious player in AI agents?

OpenBox.ai is live on Product Hunt today with major product updates!

We ve expanded OpenBox from a runtime governance layer into a framework-agnostic control layer that teams can use across their existing AI agent stack.

:

8+ integrations with Temporal, LangChain, LangGraph, CrewAI, Mastra, Deep Agents, CopilotKit, and n8n

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.

We re live on Product Hunt today with the new Intrascope update.

Intrascope started as a BYOK workspace for teams using multiple AI models.

Now we re adding managed AI usage as well, so companies can access top AI models without managing separate API keys, vendor accounts or billing dashboards.

The goal is simple:

I was reading this recent @OpenAI article about Gartner naming OpenAI a Leader in enterprise AI coding agents: https://openai.com/index/gartner....

"Software development is becoming more agentic." This is a good summary of what is happening right now. We are moving from AI that helps you write faster, to AI that can take over tasks (actions, use tools, make changes, run tests, and bring the work back for human review). That is a very different behavior.
The article gives Cisco as an example. They used Codex for a big part of their AI Defense platform and reduced delivery time from several quarters to a few weeks.

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

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.

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! 

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?

What AI Dictation Tools Actually Are

What AI Dictation Tools Actually Are

Everyone s been talking about AI Agents over the past year.

But the real leverage doesn t come from the agent itself. It comes from the context you provide:

Exciting News! We invite you to an exclusive preview of Chikka.ai! Our newest AI Voice Agent will surely transform how you get user insights!

Whether you are curious about customer stories, employees ideas, or friends' opinions, you can easily set up your own AI Interviewer to engage warmly with real humans and ask great questions in dynamic natural conversations. After that, you are just one click away from actionable insights and smart recommendations.

On their livestream today, OpenAI just released a bunch of new tools for reliably building and using AI agents. From what I can tell, this is what's new-

New APIs:

• Responses API - a new multi-modal API that builds on chat completions to allow for the next-generation of tool calling, starting with the new tools announced today.

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?