Choosing between Hunter and Lusha? We've broken down the key differences to help you decide which tool is right for your workflow.
The most common solo founder use case is straightforward: you identify someone you want to contact for a partnership, a client pitch, or a sales conversation, and you need their email address. Hunter gives you that address — verified — in seconds, either by searching their company domain or typing their name.
From there, the same platform handles the outreach. You can build a multi-step email sequence with automated follow-ups, track opens and replies, and manage your entire cold email pipeline without switching to a separate tool.
A second common use case is bulk prospecting. The Discover feature lets you filter Hunter's B2B database by job title, company size, industry, and location to build a targeted list. The bulk Domain Search returns all the verified emails for a given company at once.
A third use case is email hygiene. Before sending to any list you already have, the Email Verifier checks each address and tells you whether it's valid, reducing bounce rates before they damage your sender reputation.
The most common use case is finding direct contact information for B2B prospects before reaching out. A founder or sales rep identifies a target person on LinkedIn, opens the Lusha Chrome Extension, and sees their verified business email and direct phone number without leaving the page. One click sends that contact to the CRM. What used to take 15 minutes of searching takes 30 seconds.
The second use case is bulk prospecting. In the Workspace, you filter the 280M+ contact database by job title, seniority, company size, industry, location, and technology stack, then export a list of verified contacts with emails and phone numbers already attached. No manual research required.
The third use case is CRM enrichment. Lusha's enrichment feature auto-fills missing or outdated contact and company data in Salesforce or HubSpot, and keeps those records current as contacts change jobs, get promoted, or move to new companies. The official data page confirms data is refreshed daily.
The fourth use case, increasingly relevant in 2026, is signal-based outreach timing. Lusha's Buying Signals feature tracks job changes, hiring surges, funding rounds, revenue milestones, and intent signals. When a target account shows a growth signal, Lusha surfaces it so you can reach out at the right moment rather than cold-contacting a company with no active buying trigger.
Every result shows source and date and separates sourced from guessed, and misses cost nothing
Half a credit per email, though a status only reflects the moment of verification
Filters by location, industry, and size plus an AI assistant, but advanced filters are paid
Automation from your own inbox with A/B testing, but Inbox Protection and extra mailboxes cost more
Buying-signal tracking with limits rising by plan, but official numbers conflict
Connects Hunter data to AI tools and your own product, but Hunter can change the API without notice
Shows email and source while you browse or work in sheets, and credits count like the app
Direct reveals on LinkedIn, Sales Navigator, and any B2B site, though each reveal spends credits
Lists built from a sentence and free data columns, but AI chat and export cost credits
Over 117M numbers, but accuracy is 85% by the company's figure and coverage varies by country
26 dated signals refreshed weekly, but signal enrichment spends credits
Search and enrichment inside chat on every plan, but it can't send messages
Broad endpoints, but strict limits on Free and Starter
Sequences through Gmail or Outlook, and plan availability isn't published in the readable text
