Hey everyone,

We just opened up Causo.ai for sales lead gen.

We originally built Causo for fundraising: help founders find the right investors, research why they fit, and write proper outreach instead of sending hope this finds you well slop to every VC with a pulse.

Then people kept asking us the same thing:

One of the more interesting things we have learned while building Causo is that people ask for automation, but what they really want is productivity. Those sound like the same thing but actually aren't.

Ask someone what they want from an AI sales tool and the answer is usually:

Just find the leads, write the emails and run the outreach for me.

But the moment the tool actually tries to do that, the questions start: where did this company come from; why does it match my ICP, is this person still working there; where did you find this information; can I change the email; has anything been sent yet?

last week, I shared an update on everything Inr has shipped over the last 20 months in automation, CRM, and integrations.

today I am doing a final update on the bigger shift coming this Saturday 25th: Inr is now an AI-first platform, and here's what that actually means.

Hey Product Hunt community

I'm Khashayar, founder and CEO of Starnus. Together with my co-founder Ayda we just launched today.

Quick backstory: we're two founders who did our doctorates in data science and mechanical engineering. We used to build robots. Two years ago we started a B2B company and hit a wall ,we had no idea how to do sales. We tried every tool out there and ended up paying $500+/mo for 5 different platforms just to send cold emails.

So we built Starnus. And I know what you're thinking "great, another AI SDR." I promise you it's not (ok maybe it is a little, as a founder I can't always see it ). But seriously this is not a CRM with a sprinkle of AI on top. You describe your ideal customer in a simple prompt and Starnus handles everything end to end, prospecting, enrichment, personalized outreach, campaigns, and tracking.

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 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.

Most SaaS companies make interested buyers wait days for a demo slot. By the time the call happens, half the momentum is gone.

We built @Naoma an AI video agent that runs a live, personalized product demo instantly, right on your website. No scheduling. No waiting room. No "let me loop in a sales engineer."

It walks through your product in a real browser session, answers questions on the spot, qualifies the lead, and routes them to CRM, a booked call, or checkout depending on where they are in the funnel.

In early pilots, we're seeing visitor-to-demo conversion in the 6 15% range. Clients include Yesim, UXPressia, Mellow, and others.

I've been sitting with this question for a few weeks and I can't shake it.

If an AI agent can find the prospect, write the email, personalize it by vertical and persona, follow up three times, and log everything in the CRM - what exactly is a GTM team doing now? The easy answer everyone reaches for is "strategy." But AI can already A/B test messaging, read pipeline patterns, and shift targeting in real time. That answer gets thinner every month.

YC mentioning AI-native agencies really resonated with us.

We started Starnus as a self-serve product. But pretty quickly, founders started asking us to help them run it too.

That happened enough times that it became clear this was not random.

A lot of people do not just want software.

We've been analyzing demo funnels across B2B SaaS companies, and the pattern is consistent: the "Book a demo" button creates a 5 9 day gap between peak buyer intent and first product contact.

By the time the call happens, half the excitement is gone. No-show rates climb. Reps spend the first 15 minutes on basics the prospect would've preferred to explore alone.
The fix isn't a better calendar tool. It's removing the wait entirely.

We built Naoma to replace that gap with an instant AI demo live, conversational, running in the browser 24/7. The prospect gets a real product walkthrough the moment they click. We route qualified leads straight to sales.

In early pilots, we're seeing 6 20% visitor-to-demo conversion, which for most inbound funnels is a meaningful jump from the default.

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?

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:

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

If you followed Naoma a year ago, you knew us as a sales conversation analytics tool. We connected to your CRM, analyzed rep calls, and surfaced patterns from top performers so the rest of the team could learn from them.

It worked. Teams liked the insights.

But we kept noticing the same thing: the real bottleneck wasn't after the demo. It was getting to the demo in the first place and what happened in those first few minutes before a rep ever joined.

Qualified buyers were waiting 3 6 days for a demo slot. Many dropped off. The ones who showed up often hadn't been properly qualified. Sales reps were spending half their week running intro demos for people who were never a fit.

AI agents are everywhere right now.

They help with launch copy, visuals, outreach, follow-ups basically most of what used to take days can now be done in hours.

But I keep thinking about something. Are AI agents actually improving product discovery on Product Hunt or are they just making launches look more polished?

Yes, AI speeds things up. You can test messaging faster, create better assets, prepare more efficiently.

I have the crazy idea to develop an SDR-Agent that will:
1. discover new opportunities on LinkedIn and Facebook,
2. contact leads and manage conversations on LinkedIn, Facebook, Email and Whatsapp;

3. provide a complete DFY solution, providing social accounts and email inboxes (so the users don't need to risk their own profiles).
Finally, I am planning to offer a 7-day trial for $1.
I have some concerns:
1. is there any room for a product like this in the market actually?
2. what may be the rate of users that will pay for the trial and will never use the tool?

3. can I bootstrap a project like this and run it alone (I have no partners)?

Let s be honest: AI is getting eerily good at sounding human. It can craft hyper-personalized content and emails, and handle entire conversations. It s also made sales outreach noisier and eroded trust in once-reliable channels like email, chat, and even voice and crazy enough, video. But it s so seductive and fast. It s learning and adapting faster than ever. And it s not going to stop: in Q1, it already represented the majority share of global venture capital funding.

But one thing AI still can t fabricate is a real, trusted human relationship. These can t be made up or scaled with prompts. They re built through shared experiences, mutual trust, and real-world context.

And yet, in today s business world, precious human connections are slipping through the cracks. They re buried in inboxes, lost in forgotten LinkedIn threads, siloed in the minds of your team and stakeholders. The right lead, investor, or candidate is often just one intro away, hidden in the network you already have. LinkedIn is great if you re an individual building an audience but it fails to unlock the collective relationship capital of an entire company.

Let s be honest: AI is getting eerily good at sounding human. It can craft hyper-personalized content and emails, and handle entire conversations. It s also made sales outreach noisier and eroded trust in once-reliable channels like email, chat, and even voice and crazy enough, video. But it s so seductive and fast. It s learning and adapting faster than ever. And it s not going to stop: in Q1, it already represented the majority share of global venture capital funding.

But one thing AI still can t fabricate is a real, trusted human relationship. These can t be made up or scaled with prompts. They re built through shared experiences, mutual trust, and real-world context.

And yet, in today s business world, precious human connections are slipping through the cracks. They re buried in inboxes, lost in forgotten LinkedIn threads, siloed in the minds of your team and stakeholders. The right lead, investor, or candidate is often just one intro away, hidden in the network you already have. LinkedIn is great if you re an individual building an audience but it fails to unlock the collective relationship capital of an entire company.

Hola, Product Hunt and Hunters!!!
Starting my Product Hunt journey with curiosity and a lot of excitement. I'm Mandeep, a marketer who s led teams, built campaigns, and learned a lot along the way mostly by asking questions and staying open to what s next.

These days, I m heading marketing at an Agentic AI startup, where I combine creative thinking with the speed and scale that AI offers.

I m here to discover the next wave of AI-driven products, share what I learn, and connect with people building interesting things.

Hi
What we re building

An AI driven Micro SaaS that runs themed Telegram channels end to end using a user s digital twin (style, tone, interests):

• Research: generates focused web queries based on the channel s profile; fetches fresh sources.

• Curation: ranks/dedupes content; filters low signal links.