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“Clean is the difference between working a list and trusting one.”

Oli Nold·CEO @
$50K
in signed contracts, closed in two weeks
$50K
more in active pipeline
~4% to ~11%
reply rate
~20 min to under 5
research per account
8 to 10
hours saved per week

Founder-led, and no room for a bad list

Vivameda is founder-led. Oli runs sales himself, with deals landing around $10K. In a motion that lean there is no SDR bench to absorb a bad list. Every name is either time spent or time wasted, so the quality of the list is the whole game.

Before Clean: a complete stack that kept going stale

On paper the stack was finished. Apollo gave Oli volume, Clay ran the enrichment waterfall. The problem was underneath it. The data decayed the moment it was exported, and Oli spent more time stitching the two tools together than talking to prospects. On one list he had built, half the contacts had bounced or moved roles, and he only found out after the outreach had already gone cold. The real cost was research time: hours spent qualifying names that should have been filtered out before they ever reached the list.

Why he tried Clean

Clean came by recommendation. Oli tried it for one reason: he wanted live prospect data instead of a snapshot that decayed the moment he exported it. He had something useful the same day, with his first working search inside a couple of hours.

Where Clean sits

Clean sits at the prospecting layer. It sources live from LinkedIn under a single sender and hands Oli a shortlist he trusts, with his own historical data layered on top. From there the motion is his: the walk-ins and the emails he writes himself. Clean finds and ranks the names. Oli closes them.

The results

Within two weeks, Oli had $50K in signed contracts, with another $50K in pipeline behind it. The change was list quality. It got sharp enough that he could go straight to walk-ins with confidence, instead of burning the first week cleaning data. As the targeting tightened, reply rate climbed from around 4% to around 11%, and research per account dropped from about 20 minutes to under 5. That gave him back 8 to 10 hours a week to spend in conversations instead of spreadsheets.

Sent over WhatsApp

WhatsApp message from Oli: Clean on top of my several data pipelines and the Vivameda set is so powerful. I have tears in my eyes. We will do some big things my friends.

What surprised him

“Fresher data mattered more than more data. I didn’t need a bigger list, I needed a list that was true today.”

Built for founders who work every name

Clean is for founder-led, high-intent outreach where every name counts, not high-volume spray.

Every name counts. Start with a list you can trust.

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