---
title: "Hyperline interview: SaaS outbound · Pipecorn"
description: "How Hyperline turned every sales intuition into a tested segment on the same day. Half a day → 1 hour from idea to enriched CRM list."
canonical: "https://pipecorn.com/usecase/hyperline"
---
# Hyperline interview: SaaS outbound

> How Hyperline turned every sales intuition into a tested segment on the same day. Half a day → 1 hour from idea to enriched CRM list.

Source: https://pipecorn.com/usecase/hyperline

[All case studies](https://pipecorn.com/usecase)Hyperline

![](https://www.google.com/s2/favicons?domain=hyperline.co&sz=128)

How Hyperline turned every sales intuition into a tested segment the same day.

![](https://pipecorn.com/assets/quentin-hyperline.webp)Quentin KozyraHead of Growth, Hyperline

Industry

SaaS: Billing & Revenue

HQ

Paris, France

Size

10–25

Website

[hyperline.co ↗](https://hyperline.co/)

What we did

½ day → 0hIdea to enriched CRM list

0 → 1Tools (Apollo + FullEnrich + glue → Pipecorn)

Sales-ledReps scope their own segments

Half a day → 0 hour, idea to call-ready list

The stack

## The stack, _before and after._

Hyperline's old pipeline worked: Apollo for sourcing, FullEnrich for the waterfall, a hand-rolled Attio integration on top. It just took half a day to run, and by then the sales intuition behind it had gone cold. Pipecorn's API replaces Apollo and FullEnrich. Quentin still writes the Attio dedup himself in Claude Code, describing the workflow in English, but the data layer is now a single API.

Before3 moving parts, glued by hand
* ![](https://www.google.com/s2/favicons?domain=apollo.io&sz=64)ApolloCompany + contact sourcing\~$200/mo
* ![](https://www.google.com/s2/favicons?domain=fullenrich.com&sz=64)FullEnrichWaterfall enrichment\~$300/mo
* Custom Attio integrationHand-rolled CRM glue (no native connector)\~½ day eng/week

Total tooling cost\~$500 / mo + eng time

Time per listHalf a day

Who scopes the segmentGrowth (queued)

After1 API · 1 contract

![Pipecorn](https://pipecorn.com/assets/brand/LOGO.svg)![Claude](https://pipecorn.com/assets/logo-claude.svg)Pipecorn's API does the sourcing, persona finding, and waterfall enrichment. Quentin's tooling (Claude Code) orchestrates it and writes the Attio dedup. Two products built to work together.

Total tooling cost\~$300/mo

Time per list≤ 1 hour

Who scopes the segmentSales (live)

The problem

## Where Hyperline _got stuck._

* Hyperline sells the modern system of record for revenue to CFOs, Heads of Finance, and RevOps. A sharp, technical buyer base.
* Reaching them means precision targeting: "companies using this payment processor," "companies on this billing stack," "companies that just raised a Series B."
* Quentin had built a working pipeline: Apollo for sourcing, FullEnrich for waterfall, a hand-rolled Attio integration to push it all into the CRM.
* It worked, but each list took half a day. By the time the contacts landed in front of a rep, the original intuition had cooled.
* Worse, sales wasn't doing the scoping. Reps got handed lists they hadn't shaped, and called them with the energy of someone working a queue, not someone testing their own bet.

> Sales would have an idea 'let's try companies using this payment form' and by the time we had the list ready, it was the next day. The intuition was dead.

Quentin Kozyra, Head of Growth, Hyperline

The solution

## How Pipecorn _solved it._

Quentin doesn't write code professionally. But he does write English. He sat down with Claude Code and described the workflow he wanted in plain language, step by step, and Claude Code wired it onto Pipecorn's API. The whole pipeline now runs in under an hour, replacing what used to take Apollo + FullEnrich + a custom integration half a day to deliver. And because sales now scope their own segments, they call with conviction.

* "Find companies matching this criteria." → Claude Code calls Pipecorn's API.
* "Inside each company, find Finance Managers and RevOps." → Pipecorn returns the personas.
* "Enrich them: emails and phones." → Pipecorn's waterfall (replacing FullEnrich).
* "Check Attio. Skip anyone we already have." → Custom dedup, built by Quentin in Claude Code.
* "Push the rest into Attio." → Done. Under an hour, end to end.

> From half a day to build a call list to one hour.

Quentin Kozyra, Head of Growth, Hyperline

How the team operates

## A rep picks a city and gets the list within the hour.

Hyperline is opening the UK one city at a time, and the reps pick the cities. When a rep wants to try Manchester, Quentin re-runs the Claude Code recipe scoped to Manchester and an enriched Attio list lands the same hour. If reps connect, the city moves to live. If they don't, the next intuition gets tested tomorrow. Same playbook in London, Birmingham, Leeds, Edinburgh, Bristol, with one Pipecorn contract behind all of it.

![](https://pipecorn.com/assets/quentin-hyperline.webp)Head of GrowthQuentin KozyraDescribes each new segment in plain English to Claude Code. Pipecorn's API sources companies, finds Finance / RevOps personas, runs the waterfall, and dedupes against Attio before pushing the rest in.

Sales teamSales teamBrings the intuitions ("companies using this payment form," "Series B on this billing stack") and calls the list inside the hour. Segments they helped scope, on data they trust.

Use cases

## 3 ways Hyperline uses Pipecorn.

1. 01  
### One API replaces three moving parts  
Pipecorn's API does sourcing, persona finding, and waterfall enrichment in one call, replacing Apollo + FullEnrich + the custom Attio glue Quentin used to maintain. Three contracts and a half-day of orchestration collapse into a single workflow.
2. 02  
### Claude Code as the orchestration layer  
Quentin describes each step in plain English; Claude Code wires it to Pipecorn's API and his own Attio dedup logic. No engineering tickets, no Zapier glue, no half-day integration projects. Same-day workflow changes when sales asks for a new filter or persona.
3. 03  
### Sales-led segment testing  
Reps bring intuitions ("companies using payment form X," "Series B with this billing stack") and the list lands in Attio inside an hour. They call segments they helped scope, with energy and conviction. Pick-up rates go up. Bad bets get killed by tomorrow morning.

## More customer stories

[Case studyUber“15% of our new pipeline last quarter came from new hires. We wouldn't have spotted them without Pipecorn.”Baptiste, Sales Manager, Uber](https://pipecorn.com/usecase/uber)[Case studyWeYou Group“We replaced Evaboot with Pipecorn and plugged it straight into our CRM via API. Email enrichment doubled, we started cold calling for the first time, and every SDR went from 10 to 15 meetings a week. Across 35 SDRs, that's a different business.”Alexis Gadrat, Head of Sales, WeYou Group](https://pipecorn.com/usecase/weyou-group)[Case studyYousign“We replaced Evaboot, BetterContact, and our custom glue with Pipecorn's API inside Clay. Email and phone enrichment went from 55% to 85%, our tooling cost halved, and every account now lands in Salesforce with 3 verified contacts even when the buyer's title is something nobody else would think to search for. That's what unlocked the team.”Paul de Framond, Senior Growth Outbound, Yousign](https://pipecorn.com/usecase/yousign)[Case studyQevlar AI“From cold lists to 50+ Enterprise meetings a month without adding a single SDR.”Thomas Bartelt, Go-to-Market Engineer, Qevlar AI](https://pipecorn.com/usecase/qevlar-ai)[Case studyScalefast“We catch a new hire on day 1 Clay would surface them 3 to 6 months in. That gap is the whole game.”Alex Jaglale, Founder, Scalefast](https://pipecorn.com/usecase/scalefast)[Case studyBonx“We didn't replace Clay we filled the gap Clay couldn't. Pipecorn found the Italian manufacturers Clay didn't index, and gave us phone numbers that actually rang. That's how we booked +6 meetings per rep in a market we couldn't crack before.”Malo Brinquin, GTM Engineer, Bonx](https://pipecorn.com/usecase/bonx)

[View all customers →](https://pipecorn.com/usecase)

See it for yourself

Want the same playbook Hyperline uses? Book a 20-minute demo with Pipecorn.

[Book a demo →](https://zcal.co/t/pipecorn/discovery)
