A lot of teams already manage work inside Gmail and Google Workspace. Customer conversations happen in email threads, follow-ups come out of meetings, and project coordination lives across tasks and boards throughout the day.

Keeping CRM records and project workflows aligned with all of that activity still takes a surprising amount of manual updating afterward.

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:

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.

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?

If you're building a product with AI tools, here's how your morning probably looks:

• Open ChatGPT. Paste your project context. Ask your question. Get a decent answer.

• Switch to Claude for something else. Paste your context again. Different tool, same briefing.

• Hop into your codebase with Codex. Paste context again.

You're not just a builder anymore. You're a context delivery system.

The indie hackers I've talked to who use AI most effectively have one thing in common: they've figured out how to stop babysitting their tools and just use them.

From what I am seeing across communities, here is what the tool stack looks like right now.

The Core Stack

Email & Capture: Mailchimp for launch updates and email sequences . Carrd for quick, clean launch-specific landing pages . Pre-launch tools like LaunchBuddy and Prefundia to build a waitlist and gather early feedback before you even hit the Product Hunt button .

Social & Scheduling: Buffer or Hootsuite to keep a consistent presence across X, LinkedIn, and Threads without it taking over your entire day . Canva for generating graphics that do not look like you threw them together in five minutes .

Vokal got #2 product of the day and #7 of the week, and we now have 100+ signups from startups and teams. In general, people seem excited to try it out to up-level their teams to agent native.

Now I m trying to figure out the next step: how do we scale this beyond manual founder-led work?

I ve been writing posts, sharing content, and doing outreach manually, but it s starting to feel like a constant drain and a bottleneck. I ve been looking into tools like HubSpot, LinkedIn Sales Navigator, Apollo, and Clay.

For people who have used any of these: what has your experience been? Which ones are actually worth it at an early stage?

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.

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

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.

The other day I saw a poll on LinkedIn which said one of the biggest ongoing struggles of startups and small businesses is reliable, scalable lead generation especially beyond the usual tools like Apollo, ZoomInfo, Clearbit, etc.

Product Hunt often features some fresh and creative approaches to data. I have seen some around company enrichment, contact intelligence, trigger signals or even outreach automation.
But often PH launches get forgotten after their launch day.

What are some lesser-known or recent data tools you ve come across on Product Hunt that help with lead gen, enrichment, or prospecting?

We re building Naoma your new secret weapon for supercharging sales conversations.

What is Naoma.ai?

Hey, I've been building Doppler, the search console for AI platforms like ChatGPT and Perplexity.

As the title says if you post your product I'll run it through my tool and give you an analysis of how it performs on both ChatGPT & Perplexity as well as some tips to improve your visibility from AI engines so you can get more traffic from it!

AI search is particularly efficient for B2B SMBs / B2C as AI apps will give tailored product recommendations based on the user's context, that's why it's worth optimizing for.

the ai marketing space is going crazy right now, but there's this weird gap i keep noticing tools specifically built for "vibe marketing" are all over the place and barely tagged on product hunt. you know what i mean? those ai tools that don't just pump out generic content but actually get your brand's personality and create connections that feel real. after months of obsessively testing everything from ai sales bots to content optimizers, i finally put together a collection of tools that are absolutely crushing this balance between smart algorithms and actual human vibes: https://www.producthunt.com/@pol...

what gets me hyped about this whole category is how these tools are cracking the code on ai marketing's biggest problem: staying authentic while scaling like crazy. we're talking about ai that doesn't just spit out content it creates stuff that actually hits different, builds genuine trust, and gives people those good vibes that turn random visitors into ride-or-die fans. the tools in my collection are the real deal when it comes to this movement, from community platforms that actually understand culture to content creators that read the room and adjust their tone.