Connect with the Product Hunt community

A voice agent that makes up answers is worse than no agent at all. Callers ask about prices, policies and product details, and a wrong answer costs trust.

With Knowledge Base, you can upload your files, paste text, or point it to your website. During a call, the agent looks up the answer in your material and uses it.

• Works with long, multi-page documents.

• Add or update content without rewriting the agent.

• You can switch it off for agents that do not need lookups.

A short pause can happen while it looks something up. The answer is worth the wait.

Calling numbers on a Do Not Disturb list wastes money and can get your number blocked.

Before a campaign starts, DND check screens your contact list and removes registered numbers, so your agent only calls reachable people @Vaani Developer Platform

For test calls on your own phone you can skip it, but only use that on numbers you own or have permission to call.

Do you check DND before every campaign on @Vaani Developer Platform

I feel like most people on Product Hunt are too afraid to run paid ads.
Meanwhile, it's been one of the biggest drivers of growth at all the startups and projects I've worked on.
I'm super curious on what everyone's relationship is like with paid ads?
We've rebuilt Fastlane from the ground up to be the world's first end to end AI agent for paid ads, so would love to understand this especially!

Writing a good agent prompt is a skill most teams do not have.

Teacher AI is a chat where you tell your agent what to do in plain words, like "add insurance related points", and it updates the instructions. You see exactly what changed and approve it, so nothing happens behind your back. It asks a few questions when your request is unclear, instead of guessing. It starts from proven setups for common jobs like admissions, collections, reception, booking and lead qualification. You can upload a document in the chat to teach it faster.

What is harder for you: writing instructions, or testing them?

This is something we've been working on at Vaani AI @Vaani Developer Platform . We wanted to solve a simple but important problem: a caller shouldn't feel like they're starting a new conversation every time the system switches agents.

The challenge is that passing a summary isn't always enough. Small but important details can get lost, like a callback time, a promise made earlier, the caller's language preference, or the context behind a decision.

At Vaani, we've been working on making agent handoffs more seamless, so the next agent can pick up the conversation without making the caller repeat themselves or creating a disconnected experience.

But there's still an interesting design question here. How much context should move between agents? Should every agent have access to the full conversation, or should each handoff carry only the relevant context?

I m trying to separate more features from workflows that genuinely remove friction.

The most useful ideas are often ordinary: authenticating to a server, moving a file, recreating a session, checking a coding agent, or running one command across several panes.

What terminal task still makes you open another app or repeat the same setup?

I m building xtty around the idea that the capabilities developers regularly need should already work smoothly together not as a toolbox of disconnected tricks.

Many callers mix languages, for example Hindi and English, in the same call. Voice agents often get stuck in one language or flip back and forth.

Our agents follow the caller. If someone says "let's speak in English", the agent switches right away and stays there. You decide whether it should stick to one language or keep adapting.

Even the agent's own system phrases, like "are you still there?" and goodbyes, now match the language of the call.

What languages do your customers actually speak on calls?

A voice agent that can only talk is not enough. Customers want results: "Where is my order?" "Update my address."

Custom tools connect your agent to your own systems. You can set one up by pasting an example request from your API's docs, and the platform fills in the rest, including when the agent should use it and what it needs to ask the caller.

• Works with the services you already use.

• Pull information from the answer and use it later in the call.

• Control which agents can use which tools.

What is the first thing you would want your agent to do for you?

We re testing whether agents can discover a site s docs from its homepage, and what happens when API endpoints require authentication. Those are different problems, but both can make it hard for an agent to verify what a site supports.
How are you making your docs and APIs discoverable today? Do you link docs in the HTML the server sends, publish a public schema or read-only endpoint, or take another approach? What s worked for you?
We re building Dedica to check whether agents can access and use websites. If you re exploring this too, here s the page: https://www.producthunt.com/prod...

One thing we noticed while building Vaani is that the job doesn t really end when the call ends.

Clients want to know what happened, whether the agent actually completed its task, what data was captured and whether something went wrong.

We ve worked on this at Vaani and built a post-call processing flow that handles:

• Call summaries and structured data extraction.

• Success evaluation against the agent s actual goals.

• Tool-call and transfer analysis.

• Call outcomes and sentiment.

• Webhook delivery so clients can use the results in their own workflows.

Thanks for following Comcent! We're putting out short tutorials, one task each.

This one: taking texts on a number you already have with Twilio or Telnyx. Tick SMS, choose who answers (a bot first, or straight to your team), and texts show up in the same inbox as calls, chat and email.

Video: https://youtu.be/L7cf2qbZ0n8

Most data work isn t analysis. It s setup and upkeep.

Creating a data source for a new client. Pushing rows from an internal tool. Building the same custom metric for the fifth account in a row. Checking why last night s ingestion failed. Updating permissions when someone leaves the team.

All of it lives behind clicks. So it doesn t run in CI, it doesn t run on a schedule, and your AI agent can t touch it.

That s why we built Databox CLI - launching on Product Hunt on November 6. It puts the Databox API in your terminal: data sources, datasets, data ingestion, custom metrics, databoards, users and client accounts. One install, JSON or CSV output, clear exit codes for scripts. It also ships with agent skills, so Claude Code (or any agent that runs shell commands) can manage your Databox setup for you.

Many callers mix languages, for example, Hindi and English, in the same call. Voice agents often get stuck in one language or flip back and forth between languages.

Our agents follow the caller. If someone says "let's speak in English", if the speaker switches languages, the agent switches right away and stays there. You, the builder, decide whether it should stick to one language or keep adapting.

Even the agent's own system phrases, like "Are you still there?" and goodbyes, now match the language of the call.

Tell me, does this feature speak to you?

The most common version of this problem isn't sleep at all: you lock the Mac for a coffee and come back to every window on one screen. It happens because macOS turns the displays off a few minutes after you lock, and a DisplayPort monitor that sleeps looks unplugged to the Mac. The write-up has two Terminal commands to confirm it on your Mac, plus the settings that stop it and what they don't cover.
https://manydisplays.com/mac-los...
If it happens on your desk too, I'd like to hear which monitors you use.

we launched opencommerce today: one endpoint for your agent to search, check out and track orders across 5,000+ online stores. it has its own page, so following Agentcard won't show it to you: https://www.producthunt.com/prod...

try it and tell us what you think.

I've been experimenting with giving AI access to our actual marketing data instead of just asking it generic SEO questions.

So I connected Google Analytics and Google Search Console to Claude using ZapDigits MCP and asked it to audit our website and find things we should fix.

The results were pretty interesting.

A few things it found:

On October 1, 2026, Google updated its guidance on AI-generated content. One line stands out:

"It is critical to manually factcheck and review all AI-generated content for accuracy and trustworthiness before publishing."

Google Search Central, updated 1 October 2026.

That is not a suggestion. It is a requirement.

A call ends and then what?
Someone has to copy the outcome into a spreadsheet, a CRM or a chat channel.

Custom webhooks send an update to the address you choose when something happens: a call starts, ends, is not answered, fails or is transferred.
Choose the events you care about.

Works with no-code tools like Zapier, Make and n8n.

Updates carry the phone number, so you can match them to your customer records.

AI makes it incredibly easy to generate documentation, meeting summaries, reports, and pretty much any kind of written content.

But does that mean organizations are actually getting better at managing their knowledge?

Think about how much documentation already gets forgotten in company wikis. Outdated instructions, duplicated pages, decisions nobody remembers making, and information that's technically available but almost impossible to find.

Now imagine AI generating even more of it.

Yeah, before you ask yourself, What the heck is this thing? = no, we re actually serious.

In the spirit of giving back to the community, we created a game that s fun (according to some very specific people) and can actually earn you some inference tokens in return.

Really excited to take our best product yet with you and have best product people experience it first hand.
Avail 1000 platform credits, exclusive just for PH users by using the code PHL1000X.
website: https://www.vaani.dev/
Platform link: https://platform.vaani.dev/
The comments and this thread is open for everything about the product, thank you so much for trying out the platform!

Add a dedicated, always-visible FAQ section to your existing HTML landing page without rebuilding the layout.

With HtmlDrag's AI Refinement, select an existing container, prompt the AI to insert a focused Q&A block from verified service facts, and keep surrounding sections completely untouched. Finish with direct visual editing to fine-tune labels, check desktop and mobile responsiveness, and export clean HTML.

My birthday is Nov 5, so here's a gift for creators:

Until Nov 5, earn 41% on every web payment from customers you bring to Sponkly, real-time voice translation for calls and meetings.

With three monitors, a common complaint is that the middle one stays put while the left and right ones trade places after every wake. Usually the outer two are the same model, macOS can't tell them apart by serial, and they reconnect in a different order each time. The write-up has two Terminal commands to see each monitor's serial and port, and the fixes that work without an app.
https://manydisplays.com/three-m...
If you run three screens, I'd like to hear which ones and how yours behave after sleep.

In the last two weeks, India got two very different security wake-up calls.

First, SBI confirmed that customer records showed up on the dark web. The bank says core systems and funds are safe, and that may well be true. But the people in that data still have their names, numbers and loan details floating around somewhere they never agreed to.

Then PHP had two critical flaws that let attackers run code on a server without even logging in. Fixes went out fast, and cert-in put out an advisory, but a huge part of the web runs on PHP and not everyone patches the day a fix drops.