Finding leads where the conversation already happened

Somewhere on Reddit right now, someone is describing the exact problem your product solves. They’re not searching for you. They’re complaining to strangers, asking for recommendations, or arguing about which tool is least bad. That thread is worth more than a hundred cold emails, and almost nobody is reading it in time.

That gap is the whole reason this app exists.

The tools we got tired of

Most lead-gen software falls into two camps, and both wore us down.

The first camp scrapes. It hammers an API or rips pages until a platform changes a price or a layout, and then it quietly breaks. Anyone who built on the Reddit API a couple of years back knows how that ended. You wake up one morning and your pipeline is a 403 error.

The second camp automates the outreach too. It spins up throwaway accounts and blasts the same templated comment into every thread it can reach. It works for about a week, until people notice, the account gets banned, and your brand is now the thing getting screenshotted in a “look at this spam” post. You didn’t find a customer. You bought a reputation problem.

We wanted neither. So we started from a different question: what would it look like if a sharp assistant sat next to you, read the same threads you’d read, and just told you which ones were worth your time?

What we’re actually building

The answer turned into a desktop app that browses for real. Not a scraper pretending to be a browser. It reads pages the same way you do, on your own machine.

It moves the mouse along curved paths, types at a human rhythm, and pauses to read before it scrolls, because that’s what reading looks like. There’s no fragile API in the middle to get priced out of. When a site shifts its layout, browsing still works, the same way it still works for you.

Here’s the part that matters. You write a short description of who you sell to: what you make, the problem you solve, the kind of person you want to reach, and the kind you’d rather skip. Then the agent goes and reads. Not just headlines. It opens the full post and the comments underneath a video, because the headline almost never tells you whether someone is ready to buy. The good signal is three replies deep, where somebody says “I’ve tried four of these and they all do X.”

Every candidate comes back with a fit score and a plain reason in English, so you’re not staring at a number wondering why it’s a 7. You skim the reasons, trust the ones that make sense, and ignore the rest.

You send the message, not a bot

For each lead worth pursuing, the agent drafts a first reply. It answers the specific thing the person said, and it matches the tone of where it lives, because a comment that works in r/SaaS reads like marketing in a hobbyist subreddit.

Then it stops and hands the draft to you.

You read it, you edit it, you decide whether to send it at all. There are no throwaway accounts and no auto-posting. We think the human staying in the loop is a feature, not a limitation. The whole point is to start a real conversation, and you can’t outsource the part where you actually talk to someone.

Your AI, your keys, your machine

We made an early call that shaped everything else: your data stays on your computer.

The leads you find, the profiles you write, the run history, all of it lives on your machine, not on our servers. You can export any search to CSV, JSON, or a clean PDF whenever you want, because those leads are yours.

The same goes for the AI. Run a model fully on your own machine with something like Ollama or LM Studio, and nothing ever leaves the building. Prefer a hosted model? Paste in a key for OpenRouter, DeepSeek, Groq, Gemini, or any OpenAI-compatible endpoint, and use whichever one fits your budget. You can even point one brand at a cheap fast model and another at a stronger one. We do sell credits for our own hosted model, because plenty of people just want it to work, but nobody is stuck buying tokens from us.

And when a site throws up a CAPTCHA, the app doesn’t try to trick its way past. It plays a sound, shows you the live browser, and lets you solve it in a second. Then it picks up where it left off. Honest and reliable beats clever and brittle every time.

Where this goes

Right now the agent reads Reddit and YouTube. LinkedIn is next, and the same approach applies: find the people already talking about the problem you fix, and reach out like a person.

A few other things are already in: run separate brands for each product you sell, each with its own customer profile and history. Queue up a run and keep reviewing the leads you already have while the next one waits its turn. Nothing locks up while the agent works.

Leadiver AI has landed too, for people who’d rather not think about keys and models at all. It’s built in, switched on from the first launch, and every account starts with credits to spend on it. You can still swap in your own key or a local model whenever you want.

The mission underneath all of it is simple. The best leads are public, they’re specific, and they’re already asking for what you have. They just get buried fast. We’re building the tool that surfaces them in time, scores them honestly, and hands you a head start, then gets out of the way so you can do the part only you can do.

If that sounds like something you’d use, come grab early access. We’d genuinely like to hear what you’d point it at first.