βSwitching to Pipecorn was a game changer. We now build 3Γ more high-quality prospect lists.β

We've rebranded: ProntoHQ is now Pipecorn.
Lead database
Go from a job title to the people who hold it, their verified work email and their mobile β powered by data from 100+ sources.
BaptisteSales Manager, UberβWe added 40% more SQLs in one quarter without hiring a single SDR. Pipecorn pays for itself in the first week.βRead full case study β
BenGeneral Manager, LumAppsβ3Γ pipeline in 90 days. Our reps stopped sourcing and started selling. 92% phone connect rate.βRead full case study β
Thomas BarteltGo-to-Market Engineer, Qevlar AIβWe book 50+ Enterprise meetings / month by catching new CISOs on day 1. 85% connect rate.βRead full case study β
Camille DurandHead of Growth, YousignβWe doubled outbound pipeline in 60 days. The waterfall enrichment alone was worth the switch.βRead full case study β
Alexis GadratHead of Sales, WeYou GroupβWith Pipecorn, my 35-sales team blow up their objectives. Each SDR now books +50% more demos.βRead full case study β
Alexis GarnierSenior GTM, Qobraβ+38% reply rate after switching to Pipecorn. We finally call the right person at the right time.βRead full case study β
Malo BrinquinGTM Engineer, Bonxβ10Γ more verified phones than our previous stack. Our outbound team is genuinely faster.βRead full case study βScalefastCase study
Alex JaglaleFounder, ScalefastβPipecorn pays for itself every Monday morning. +27% closed-won.βRead full case study β
Case study
Juliette BinetruyHead of Operations, RecomβWe replaced 3 vendors and a Zapier mess with one Pipecorn workspace. Sales love it.βRead full case study β
Kaio AraujoCo-founder, YounoβPipecorn became the operating system of our outbound. Every signal, every contact, every CRM update.βRead interview β
Quentin KozyraHead of Growth, HyperlineβWe catch champion job changes before LinkedIn updates. That's the unfair advantage.βRead interview βEvery filter
Title, function, seniority, tenure, the company they sit in and the one they left β every count below on the same segment: US software companies of 51β500.
Three ways to describe the same person, and they combine. The title field is matched as text β titles in the wild are messy β while function and seniority key off LinkedIn's own classification, which is how you also reach the sales lead whose title says βGrowthβ.
Years of experience, years at the company and years in the current role, as three separate facets. Someone three weeks into a new seat buys differently from someone six years in β and this is how you tell them apart.
Someone who just took a new seat, commented on a post in your space, or started following a competitor is a different prospect from a cold name on a list. Recent job changes are a search facet, over the API's fixed 90-day window.
Every company facet is available on a people search: industry, size, type, headquarters, the account lists you already saved, and the company they used to work at.
A persona bundles the include and exclude rules into something you apply anywhere β a search, an account list, a weekly new-hire watch. This is a real saved persona on our own account: nine titles in, six out.
A new CFO lands. A champion you already sold to shows up somewhere new. An alumnus of your best account moves on. We catch the move; your CRM says which one it is to you.
API & MCP
Preview a segment for free, run it, pull the people inside one account, enrich the email and the mobile, and watch for job changes. Pick one and see what comes back β over REST, or over MCP for agents.
{
"total_count": 852,
"preview": [
{
/* redacted here β the endpoint returns it */
"headline": "VP of Sales @ AirOps",
"current_company": "AirOps",
"current_title": "VP of Sales",
"linkedin_id": "104885158",
"profile_url": "https://www.linkedin.com/in/β¦"
},
/* 24 more in this page */
]
}Thirty-odd filters, combined. Returns total_count and the first 25 profiles, and it is free β no credits, no plan limits. Size a market before you buy any of it.
Sales and growth teams on the contacts they get out of this database β and what changed once they did.
βSwitching to Pipecorn was a game changer. We now build 3Γ more high-quality prospect lists.β

βPipecorn is insanely good. The quality of the numbers is on another level compared to Lusha, it's day and night.β

βWe replaced 3 tools with Pipecorn's API inside Clay. Enrichment jumped from 55% to 85% and our tooling cost halved.β

What teams do with it
Every tab below is a real screen from the app, on a real search. Click through them.
Yousign went from 55% to 85% reachable once the waterfall sat behind their list. On 1,000 contacts that is 300 more conversations β and the deals that follow.
Yousign's and Uber Eats' own measured results. Deals are modelled at the close rate above. See the full benchmark β
Our customers on tools they dropped and what they gained with Pipecorn.
βFrom half a day to build a list to under an hour. Sales own their pipeline ideas now.β

βWe tried Apollo, ZoomInfo, Lusha. Pipecorn buries them on phone quality 9.3 / 10 reach a real human.β

βFresher data, more new hires detected 5 days from a hire landing to my rep on the phone.β

βWe catch a new hire on day one the others would surface them months in.β

βFrom half a day to build a list to under an hour. Sales own their pipeline ideas now.β

βWe tried Apollo, ZoomInfo, Lusha. Pipecorn buries them on phone quality 9.3 / 10 reach a real human.β

βFresher data, more new hires detected 5 days from a hire landing to my rep on the phone.β

βWe catch a new hire on day one the others would surface them months in.β

βFrom half a day to build a list to under an hour. Sales own their pipeline ideas now.β

βWe tried Apollo, ZoomInfo, Lusha. Pipecorn buries them on phone quality 9.3 / 10 reach a real human.β

βFresher data, more new hires detected 5 days from a hire landing to my rep on the phone.β

βWe catch a new hire on day one the others would surface them months in.β

Every contact we surface is sourced from certified providers and handled under the strictest global privacy frameworks.
View our Trust Center β
Pipecorn is SOC 2 Type II compliant, ensuring the highest standards in data security and privacy protection for your cold calling operations.

Fully compliant with EU's General Data Protection Regulation. We handle your prospect data with strict respect for European privacy laws.

We comply with the California Consumer Privacy Act, protecting the privacy rights of your California-based prospects.
What teams ask before they move their prospecting. Anything else, we reply within 24h.
Ask Pipecorn anything β553.6 million profiles, counted live on the people index in July 2026. That number on its own is worth less than it looks, though: Sales Navigator displays more profiles than we do on most job titles, and exports no email and no phone at all. The figure to compare is how many of those people you can actually reach. Across matched contacts, 71β81% come back with a verified work email and 73β86% with a verified mobile.
Job titles and excluded job titles, past titles, 26 LinkedIn functions, 10 seniority levels, location, industry, current company and past company, company size, company type and company headquarters, years of experience, years at the company and years in the current role, plus your own saved account and lead lists and a free-text keyword. Filters combine, and every one of them is available in the app, over the API and over MCP.
Yes, on the database, over a fixed 90-day window. Job-change tracking then watches the profiles you already care about and re-checks them monthly, and new-hire tracking runs the other way: a persona plus a company filter, checked weekly. The other LinkedIn signal flags β posted recently, viewed your profile, follows your company β need a synced Sales Navigator account, and the API says so rather than returning a silently empty result: βThese filters require live mode (live: true) and are not supported with live: falseβ.
Two ways, both free. Previewing a segment returns its exact total and the first 25 profiles without spending a credit or touching your plan limits. And for a single profile, /contacts/check_data_availability answers whether we hold a work email, a personal email and a mobile before you enrich it. A per-record answer beats a marketing average.
The profile layer is our own index. The email and the mobile come from a waterfall across 100+ providers, queried in sequence and routed by the lead's country, because coverage differs by market. It stops at the first verified match, so you are billed for the provider that delivered and never for the ones that missed.
On a flat subscription, with the prices published so you never have to ask for a quote. Filtering, previewing a segment count and resolving locations or industries are free. Pulling leads into your workspace runs against your plan's limits, not against credits. Credits are only spent on enrichment: 3 for a work email, 30 for a mobile, and only when something comes back.
Yes, and it is the main reason teams run both halves here. Build the account list in the company database, save it, then feed it back in as a filter and apply a persona across it. You can also ask a single company how many people match a persona before you pull any of them, which is how most ABM programmes decide where to spend.
Yes. GDPR-compliant by default, with EU data processing and a DPA available on request. Personal data is limited to business-context professional information with a legitimate basis for processing, and mobile numbers are screened against do-not-call registries before they reach you.
Your next customers are already out there. Plug Pipecorn into your stack and watch raw contacts turn into crunchy, call-ready leads.