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Leadspicker

A ten-year-old Czech outbound platform wearing a new agent label

Leadspicker is a B2B lead intelligence and multichannel outreach platform that scrapes prospects from live web sources rather than only from a static database, enriches them through a waterfall across multiple data providers, scores them against your ideal customer profile, and runs AI-written email and LinkedIn sequences with replies collected in a unified inbox; it is sold self-serve in credit-metered tiers from $199 a month, with credits priced at one euro cent each.

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Overview

Leadspicker is one of the few products in this category that existed before the category did. It was founded in 2015 in Prague by Vlastimil Vodička, a former venture capital professional who took the CEO seat, and Jan Skácel as CTO, and it raised CZK 50 million in seed funding in 2020 led by Reflex Capital with J&T Ventures participating. Ten years of building an outbound platform before the phrase AI SDR was coined is the most useful thing to know about it, because it means the sequencing, deliverability, and LinkedIn plumbing are old and tested while the agent layer on top is new.

The technical distinction that matters is sourcing. Most tools in this category resell the same handful of contact databases, so everyone prospects the same people. Leadspicker scrapes live sources instead: job portals, Google Maps, niche directories, and effectively anything with a public listing. Enrichment then runs waterfall style across multiple providers rather than depending on one, which is the correct architecture for coverage and bounce reduction and is normally something you have to build yourself in Clay.

The AI agent framing is real but should be read carefully. You tell an agent who to find and where to look, and it monitors sources continuously, capturing matching prospects and routing them through enrichment into outreach. That is a genuinely autonomous sourcing loop, which is more than most competitors deliver. What it is not is an autonomous seller: the agent writes emails and LinkedIn messages per prospect, replies land in a unified inbox, and a human reads and answers them. Buying signals such as new hires, job postings, and social mentions feed the trigger side, which is the useful half of what people mean when they say intent data.

Pricing is credit-metered and steep by small-business standards, starting at $199 a month for 4,000 credits, then jumping to $479 and then to $1,599. Credits are pegged at one euro cent each, which is refreshingly explicit, and each tier also allocates email outreach seats and LinkedIn outreach seats, ten and five respectively at the entry level. That seat structure is the tell: this is designed for a team running many sending identities, not for a founder with one inbox. A free trial without a card is available, and only Enterprise requires a conversation.

Best for

Established small and mid-sized sales teams running multichannel outbound at real volume across several sending identities, particularly those prospecting from sources that conventional contact databases do not cover, such as job boards, directories, and local listings.

Not the right fit for

  • Solo founders and very small teams: the $199 entry tier allocates ten email seats and five LinkedIn seats, capacity that is wasted if you have one inbox and one profile, and cheaper tools do the same job for a tenth of the price.
  • Anyone expecting an autonomous seller; the agents automate sourcing, enrichment, and drafting, and every reply is still handled by a person in the unified inbox.
  • Teams unwilling to put their own LinkedIn accounts at risk, since LinkedIn sequences run on profiles you supply and any restriction from automation volume lands on your people.
  • Budget-constrained buyers who will not use the credit allowance; 4,000 credits at one euro cent each is roughly forty euros of enrichment value inside a $199 subscription, so the software premium is most of the bill unless you run consistent volume.
  • Buyers who need US-based data processing or US-centric support hours; the company is Prague-based and the credit pricing is denominated in euros.

How it works

  1. 1

    You define a target and a source rather than only a filter. Because Leadspicker scrapes live web sources, the instruction can be as concrete as a category on a directory, a set of job postings, or a Google Maps segment, which pulls in prospects that never appear in a conventional contact database.

  2. 2

    An AI agent then monitors those sources continuously instead of running a one-off search. Matching prospects are captured as they appear, which turns prospecting from a periodic list build into a standing pipeline fed by buying signals such as new hires at target accounts, job-posting triggers, and social mentions.

  3. 3

    Captured prospects flow into waterfall enrichment, which cascades across multiple data providers to find verified emails, phone numbers, and company data. The point of the waterfall is coverage and bounce reduction: if one provider misses, the next is tried, rather than the record being discarded.

  4. 4

    Outreach runs multichannel across email and LinkedIn with AI-written messages per prospect and what the vendor calls deliverability guardrails protecting sender reputation. Replies from every channel collect in a unified inbox, where a human reads and answers them. LinkedIn sending runs through accounts you supply, so the automation risk sits on your team's profiles.

Feature breakdown

24 features in 5 modules

Prospect sourcing

The genuine differentiator: live web scraping instead of reselling the same database everyone else uses.
Live source scraping
Pulls prospects from job portals, Google Maps, niche directories, and effectively any public online source, which surfaces companies absent from conventional contact databases.
Continuous agent monitoring
Agents watch defined sources around the clock and capture matching prospects as they appear, so prospecting becomes a standing pipeline rather than a periodic list build.
Buying signal triggers
New hires at target accounts, job postings, and social mentions are monitored as entry triggers rather than as decoration on an existing list.
Automatic routing into enrichment
Captured prospects flow straight into enrichment and outreach without a human moving files between steps, which is the part that justifies the agent label.
Source-defined targeting
You specify where to look as well as who to find, which produces materially different lists from competitors that all query the same underlying providers.

Enrichment and qualification

Waterfall architecture, normally something you have to assemble yourself in Clay.
Waterfall enrichment across providers
Cascades through multiple data providers for verified emails, phone numbers, and company data rather than depending on a single source, maximising coverage and reducing bounces.
Credit-metered enrichment at one euro cent
Credits are explicitly pegged at €0.01 each, so enrichment spend is modellable rather than opaque, which is rarer than it should be.
ICP scoring
Prospects are scored against your ideal customer profile so the pipeline arrives ranked rather than as an undifferentiated queue.
Inbound lead processing
The same enrichment and scoring path runs on inbound leads, with automatic assignment to a rep, which is a speed-to-lead capability most outbound tools omit entirely.
Bounce minimisation as a design goal
The waterfall exists specifically to protect sender reputation by not sending to addresses a single provider guessed at.

Multichannel outreach

Email plus LinkedIn, with seat allocations that reveal who this is really built for.
AI-written messages per prospect
Both email and LinkedIn copy are generated per contact rather than templated, drawing on the enrichment and signal data already collected.
Email outreach seats per tier
Ten on Explorer, one hundred on Growth, one thousand on Scale, and unlimited on Enterprise, so sending identity count scales with the plan rather than being bought separately.
LinkedIn outreach seats per tier
Five on Explorer, fifty on Growth, five hundred on Scale. These are your own LinkedIn accounts, so the account risk from automation volume is yours.
Deliverability guardrails
Built-in controls intended to protect sender reputation, which for a platform this old is a more credible claim than it would be from a two-year-old startup.
Unified inbox
Replies from every channel land in one place, which is the practical requirement for running email and LinkedIn together without losing conversations.
Multichannel sequencing
Steps can alternate between email and LinkedIn within one sequence rather than running two parallel campaigns that do not know about each other.

Integrations and platform

A proper connector list plus an API, which the cheap end of this category lacks.
HubSpot, Salesforce, and Pipedrive
Native connectors to the three CRMs a small or mid-sized B2B company is realistically running.
Google Sheets and Slack
Covers the two places small teams actually watch pipeline and get notified.
REST API from the Growth tier
Programmatic access starts at $479 a month, not at the entry tier, so any integration plan should be priced against Growth rather than Explorer.
Connect to anything with an API
Custom endpoints exist beyond the prebuilt connectors, which matters for teams with a non-standard stack.

Commercial structure

Self-serve up to a substantial price point, with two ceilings to watch.
Free trial without a credit card
Evaluation requires no payment details and no sales conversation, which given the $199 floor is important.
Four published tiers
$199, $479, and $1,599 a month plus custom Enterprise, all with published credit and seat allocations.
Credits and seats as separate limits
Every plan constrains both enrichment volume and sending identity count, and either can bind first depending on your motion.
Dedicated support from Scale
Support escalation is gated at $1,599 a month, so the two lower tiers are self-service in practice.

Use cases

4 documented

Recruitment or staffing firm prospecting from job boards

The buying signal is a live job posting, which no contact database exposes usefully, so the team monitors boards by hand and is always days late.

An agent watches the relevant boards continuously, captures the hiring company as the posting appears, enriches the hiring manager, and starts a sequence the same day, which is the entire competitive advantage in that market.

Mid-sized sales team running many sending identities

Volume requires a dozen mailboxes and several LinkedIn profiles, and buying seats separately across a personalization tool, a sequencer, and a data provider has become expensive and unmanageable.

The Explorer or Growth tier bundles ten to one hundred email seats and five to fifty LinkedIn seats with enrichment credits, consolidating three invoices into one and putting all replies in one inbox.

Agency prospecting into markets that databases cover badly

Targets are listed in trade directories and on Google Maps but barely present in Apollo or ZoomInfo, so conventional tools return a fraction of the real universe.

Source-defined scraping builds the list from where the prospects actually are, and waterfall enrichment finds contact details that a single provider would have missed.

Team that wants signal-triggered outbound rather than list blasts

Reply rates on static lists have collapsed and the team knows timing matters more than copy, but has no mechanism for acting on a trigger within days.

New hires, job postings, and social mentions become sequence entry conditions, so outreach lands while the trigger is still relevant instead of six weeks later.

Pricing

from $199 per month (Explorer)

Credit-metered monthly subscription, with each tier allocating enrichment credits, email outreach seats, and LinkedIn outreach seats. Credits are priced at one euro cent each.

PlanPriceIncludes
Explorer$199
per month
  • 4,000 credits per month
  • 10 email outreach seats
  • 5 LinkedIn outreach seats
  • Positioned at solo founders, growth hackers, and starting sales teams

The seat allocation contradicts the stated persona; a solo founder cannot use ten email seats and five LinkedIn profiles, and is paying for capacity rather than for enrichment.

Growth$479
per month
  • 16,000 credits per month
  • 100 email outreach seats
  • 50 LinkedIn outreach seats
  • API access begins at this tier

The first tier with API access, and the point where the seat allocation starts matching a real team.

Scale$1,599
per month
  • 80,000 credits per month
  • 1,000 email outreach seats
  • 500 LinkedIn outreach seats
  • Dedicated support

Marked as the most popular tier by the vendor, which says more about their customer base than about small-business suitability.

EnterpriseCustom
contact sales
  • Unlimited credits and seats
  • Dedicated support
  • Custom terms

Billing notes

  • Credits are explicitly valued at one euro cent each, so the 4,000 credits on Explorer represent roughly forty euros of enrichment inside a $199 subscription; most of the bill is platform access, not data.
  • Every tier limits both credits and outreach seats, and either constraint can bind first depending on whether your bottleneck is enrichment volume or sending identity count.
  • API access starts at the $479 Growth tier, so any plan involving custom integration should be priced against Growth rather than Explorer.
  • Domains and mailboxes are not included. Outreach seats are slots in the platform, not provisioned inboxes, so you still buy secondary domains and email accounts separately.
  • LinkedIn seats consume your own LinkedIn accounts, meaning the platform's automation volume translates directly into risk on your team's personal profiles.
  • Dedicated support only appears at $1,599 a month, so buyers on the two lower tiers should expect to self-serve.

Value assessment: Leadspicker is priced for a team, not for a founder, and evaluating it as a founder tool produces a bad verdict for the wrong reason. If you run genuine multichannel volume across several mailboxes and LinkedIn profiles, the Explorer and Growth tiers bundle sourcing, waterfall enrichment, sequencing, and a unified inbox for less than assembling the equivalent from a data provider plus Clay plus a sequencer plus a LinkedIn tool. If you have one inbox and one profile, you are paying $199 for capacity you cannot use, and the enrichment component alone is worth about forty euros. The decisive question is not features, it is whether your sending footprint is large enough to consume what the plan allocates.

Strengths & limitations

Strengths

  • Ten years of operating history in a category where most competitors are two or three years old, which shows in the maturity of the sequencing and deliverability layers.
  • Live source scraping across job boards, Google Maps, and niche directories surfaces prospects that database-reselling competitors simply do not have.
  • Waterfall enrichment across multiple providers is the architecturally correct approach to coverage and bounce reduction, and here it is built in rather than assembled by you in Clay.
  • Genuinely autonomous sourcing agents that monitor sources continuously and route prospects into enrichment and outreach without human file shuffling.
  • Multichannel email and LinkedIn sequencing with a unified inbox, rather than two disconnected campaigns.
  • Signal-driven triggers including new hires, job postings, and social mentions, which is the useful half of what the market calls intent data.
  • A proper integration list covering HubSpot, Salesforce, Pipedrive, Google Sheets, and Slack, plus a REST API, which the cheap end of this category lacks entirely.

Limitations

  • The $199 entry price is high for this directory's audience, and the seat allocation at that tier is sized for a team rather than the solo founder the vendor names as the target persona.
  • Credits are worth about one euro cent each, so the enrichment value inside the entry plan is roughly forty euros and the rest is platform premium.
  • LinkedIn automation runs on your own accounts, so restriction risk from volume falls on your team's profiles rather than on the vendor.
  • API access is gated to the $479 tier, which is a steep floor for programmatic use.
  • Dedicated support starts only at $1,599 a month, leaving most small-business buyers self-serving.
  • The agent framing covers sourcing and drafting, not selling: every reply is human work, and the marketing language does not always make that boundary obvious.
  • Funding is modest at roughly $2.3M raised across a single 2020 round, so the company competes on longevity rather than on capital against venture-heavy rivals.

Head-to-head comparisons

5 alternatives

Leadspicker vs Openmart

from $0 free plan, then $149 per month (Starter), or about $105 per month billed annually

Both pair data with outreach, but for different buyers. Openmart is a purpose-built local and SMB dataset with email sequencing from a free tier and $149. Leadspicker is a conventional B2B platform with live scraping, LinkedIn, and a unified inbox from $199. If your targets are single-location local operators, Openmart's data is better. If you need multichannel and CRM depth, Leadspicker is the fuller platform.

Full Leadspicker vs Openmart comparison

Leadspicker vs Reachy

from $39 per month (Solo), or about $32 per month billed annually

Opposite ends of the same LinkedIn motion. Reachy is a $39 local desktop agent running on one machine with your own AI key, aimed at a solo seller. Leadspicker is a $199 cloud platform allocating five LinkedIn seats and ten email seats with waterfall enrichment behind it. Take Reachy if you are one person on LinkedIn; take Leadspicker if you are coordinating several profiles and mailboxes with a CRM behind them.

Full Leadspicker vs Reachy comparison

Leadspicker vs Apollo.io

from Free plan; paid from $49/user/mo

Apollo has vastly more contacts, a cheaper per-seat price, a dialer, and a mature sequencer, and for conventional B2B prospecting it is the obvious default. Leadspicker's advantage is sourcing from places Apollo does not index at all, plus waterfall enrichment across providers rather than reliance on one database. Many teams would rationally run Apollo as the base and Leadspicker for the segments Apollo misses.

Full Leadspicker vs Apollo.io comparison

Leadspicker vs Amplemarket

from $600/mo for 2 seats (Startup plan, published)

The closest structural comparison: both are full multichannel outbound platforms with their own data, AI copy, and deliverability tooling. Amplemarket is better known, more polished, and generally sold through a conversation rather than a checkout. Leadspicker publishes its prices, offers a no-card trial, and sources from live web pages rather than a fixed database. Choose Amplemarket for polish and support, Leadspicker for source flexibility and transparent self-serve pricing.

Full Leadspicker vs Amplemarket comparison

Leadspicker vs AiSDR

from $250 per month (Solo, 200 contacts)

AiSDR bundles domains, mailboxes, and warmup into the subscription and starts at $250 with quarterly prepayment on the useful tiers. Leadspicker allocates outreach seats but expects you to bring your own domains and inboxes. AiSDR is the better answer for someone starting from nothing; Leadspicker is better for a team that already owns sending infrastructure and needs sourcing and enrichment depth on top.

Full Leadspicker vs AiSDR comparison

Implementation & onboarding

Setup time
A few days to a couple of weeks. Connecting mailboxes, LinkedIn accounts, and a CRM takes a day, but defining sources for the agents to monitor and tuning the ICP scoring is where the real setup effort goes, and domains still need their usual warmup period before volume.
Learning curve
Moderate to high. This is a platform rather than a single-purpose tool, and the source-definition model is more powerful and less obvious than clicking filters on a database. Expect a week before the agents are producing lists you trust.
Onboarding
Self-serve through all three published tiers with a no-card free trial, but dedicated support only appears at $1,599 a month, so buyers on Explorer and Growth should plan to work through documentation rather than with a person.
Migration notes
CRM connectors to HubSpot, Salesforce, and Pipedrive mean prospect records can live in your system of record rather than only in Leadspicker, which reduces switching cost considerably. Sequences and agent configurations do not travel. Because outreach runs on your own mailboxes and LinkedIn accounts, sending identity and reputation stay with you if you leave.

Platform, API & security

Platforms
Web application
API
REST API from the Growth tier at $479 a month, plus prebuilt connectors and the ability to connect to arbitrary API endpoints.
Compliance
No prominently published SOC 2 certificationEU-based operation with GDPR obligations under Czech and EU law
Data residency
Not explicitly published; the company is Prague-based and prices credits in euros, which implies EU processing.
SSO
Not advertised on the published tiers.
Security notes
Outreach runs on mailboxes and LinkedIn accounts you connect, so credentials and sending identity remain yours. Scraping live public sources and enriching contact data in the EU brings GDPR lawful-basis questions squarely into scope, and those obligations sit with you as the sender. LinkedIn automation on your own profiles carries account restriction risk that no vendor can indemnify.

Support & resources

Channels
Email supportDedicated support from the Scale tier
Documentation
Product documentation covering agents, sourcing, enrichment, sequences, and integrations, with credit values published explicitly.
Community
No large public user community; the company's visibility is strongest in Central and Eastern European B2B circles.

Company

Founded
2015
Headquarters
Prague, Czech Republic
Ownership
Venture-backed
Founders
Vlastimil Vodička, Jan Skácel
Employees
Not disclosed; small team
Funding
Approximately $2.3M raised, principally a CZK 50 million seed round in May 2020 led by Reflex Capital with participation from J&T Ventures.

Funding history

RoundAmountYearNotes
SeedCZK 50 million (approximately $2.3M)2020Led by Reflex Capital with J&T Ventures participating.

Timeline

  1. 2015Founded in Prague by Vlastimil Vodička and Jan Skácel, building lead generation and outreach automation years before the AI SDR category existed.
  2. 2020Raises CZK 50 million in seed funding led by Reflex Capital with J&T Ventures participating.
  3. 2022Builds out multichannel sequencing across email and LinkedIn with a unified inbox for replies from both channels.
  4. 2024Adds waterfall enrichment across multiple data providers, replacing single-source lookups to improve coverage and reduce bounces.
  5. 2025Introduces autonomous AI agents that monitor defined sources continuously and route captured prospects into enrichment and outreach.
  6. 2026Sells four tiers from $199 to custom Enterprise, with credits pegged at one euro cent and separate email and LinkedIn seat allocations per plan.

Integrations

  • HubSpot
  • Salesforce
  • Pipedrive
  • Google Sheets
  • Slack
  • REST API from the Growth tier
  • Custom API endpoints
  • Your own email accounts and LinkedIn profiles

Frequently asked questions

10 questions

What is Leadspicker?

Leadspicker is a B2B lead intelligence and multichannel outreach platform founded in Prague in 2015. It scrapes prospects from live web sources such as job portals, Google Maps, and niche directories, enriches them through a waterfall across multiple data providers, scores them against your ideal customer profile, and runs AI-written email and LinkedIn sequences with all replies in a unified inbox.

How much does Leadspicker cost?

Explorer is $199 a month with 4,000 credits, ten email outreach seats, and five LinkedIn seats. Growth is $479 with 16,000 credits, one hundred email seats, fifty LinkedIn seats, and API access. Scale is $1,599 with 80,000 credits and dedicated support. Enterprise is custom. A free trial requires no credit card.

What is a credit worth?

One credit equals one euro cent, which the vendor states explicitly. That means the 4,000 credits in the $199 Explorer plan represent roughly forty euros of enrichment value, so most of the subscription buys platform access and outreach capacity rather than data. That is not necessarily bad value, but it should shape how you compare it to pure enrichment vendors.

Is this suitable for a solo founder?

Probably not, despite the vendor naming solo founders as the Explorer persona. Ten email seats and five LinkedIn seats are capacity a single person cannot use, and at $199 a month you would be paying mostly for headroom. A founder with one inbox and one LinkedIn profile is better served by something like Reachy at $39 or a personalization tool plus a cheap sequencer.

How autonomous are the AI agents?

More autonomous than most on sourcing and less on selling. The agents genuinely monitor sources around the clock, capture matching prospects, and route them through enrichment into outreach without a human moving files. They also write the messages. What they do not do is handle replies: every response lands in the unified inbox and a person answers it.

Are mailboxes and domains included?

No. Outreach seats are slots in the platform, not provisioned inboxes. You still buy secondary domains and email accounts yourself, and you still wait out warmup before real volume. LinkedIn seats likewise consume your own LinkedIn profiles.

Who owns the LinkedIn risk?

You do. LinkedIn sequences run on accounts your team supplies, so any restriction triggered by automation volume lands on your people's personal profiles rather than on the vendor. Treat the seat allocations as capacity figures rather than as a recommended send rate, particularly at the Scale tier's five hundred LinkedIn seats.

What makes the data sourcing different?

Most tools in this category query the same few contact databases, so everyone prospects the same people. Leadspicker scrapes live sources including job portals, Google Maps, and niche directories, and then enriches through a waterfall across several providers rather than depending on one. For markets that conventional databases cover thinly, this returns a materially different and often larger universe.

How does it compare to hiring an SDR?

At $199 to $479 a month it is a fraction of an SDR's salary, and it automates sourcing, enrichment, list hygiene, and first-draft writing genuinely well. It does not qualify replies, handle objections, or book meetings. The realistic framing for a small team is that one person plus Leadspicker can cover the top-of-funnel work of several, provided that person still spends their time in the inbox.

Is the company stable?

It has been operating since 2015, which in this category is remarkable, and it raised a CZK 50 million seed round in 2020 led by Reflex Capital. Total funding is modest at around $2.3M, so it competes on longevity and product rather than on capital. For a buyer, ten years of continuous operation is a stronger stability signal than a large recent round from a two-year-old competitor.

Editorial verdict

Leadspicker is the most substantial platform in this batch and the one most likely to be mispriced for the reader of this directory. The sourcing model is genuinely different from its competitors, scraping job boards, directories, and maps rather than reselling the same contact database, and waterfall enrichment plus multichannel sequencing plus a unified inbox is a real stack that would cost more to assemble from parts. Ten years of operating history is worth something in a category littered with two-year-old startups. But the entry tier allocates ten email seats and five LinkedIn seats for $199, which is capacity a one-person business cannot consume, and credits are worth about a euro cent each, so the enrichment inside that plan is worth roughly forty euros. Buy it if you run multichannel outbound across several sending identities and your prospects live in places Apollo does not index. Skip it if you have one inbox, one LinkedIn profile, and a hope that an agent will sell for you, because it will not: every reply is still yours to answer.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.