Hunter.io Reviews

1. Eleanor Bennett

   · Digital Marketing Specialist at Logit.io · over 4 years ago
   Brilliant for outreach

   I often use the Hunter Google Chrome extension to assist me in discovering the contact details of new outreach targets. The only drawback is that I quite often exceed my free monthly allowance of lead requests.

Linear Reviews

Hunter.io mentions (155)

• Clearbit Is Now HubSpot-Only: A 1-to-1 API Migration Map for Teams Getting Locked Out

  A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did — the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / 3 months ago

• Reverse Email Lookup Shootout: Hunter, Clearbit, Datagma, and PDL Tested on 500 Real B2B Addresses

  The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself with PDL + Hunter.io + Prospeo, or use a platform like Clay to abstract the plumbing — and whether you're willing to pay FullEnrich's premium for that abstraction. - Source: dev.to / 3 months ago

• How to Build an OSINT-Powered B2B Prospecting Workflow in 2026 (Without Getting Banned)

  Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n — pulling from public sources before hitting any paid API — matched 79% and cost roughly $0.003 per contact. The delta wasn't magic. It was sequence. - Source: dev.to / 4 months ago

• Zero-Budget Strategies for Avoiding Spam Traps with Go

  Start with diligent email list hygiene. Remove invalid, dormant, or unengaged addresses regularly. Use free verification tools like NeverBounce or Hunter.io — many of which offer limited free API calls — or build your own heuristics. - Source: dev.to / 7 months ago

• Complete Tutorial on Mailto Links: What They Are & How to Use Them

  By putting a mailto link out there, you also share your contact details with any legitimate outreach specialists that wish to reach you. Finding all your company emails hidden in the html code is as easy as a single tap on a hunter.io widget (many similar tools are also available). - Source: dev.to / almost 2 years ago

Linear mentions (162)

• The Tradeoff That Slows Production Teams Down: Flexibility vs Actually Shipping

  Speed matters. Not speed in sprint or linear dashboards. Not speed in story points. - Source: dev.to / 3 months ago

• Freshworks Just Shipped an MCP Gateway Inside Its ITSM Platform. Here's What That Actually Changes.

  Model Context Protocol, for context, is the emerging standard for letting AI agents pull live data from external systems without custom integration code. Freshworks has implemented it as a native layer in Freddy AI, which means agents can now reach into Notion, ClickUp, Linear, Workday, Rippling, and the rest of the enterprise stack — not through brittle webhooks or bespoke connectors, but through a standardized... - Source: dev.to / 3 months ago

• How to Document and Track Technical Debt

  Issue trackers: GitHub Issues, Linear, or Jira work well because technical debt records live in the same tool as feature work. This makes them easier to pull into sprint planning and keeps the debt backlog visible alongside the feature backlog. The main risk is that debt issues get buried under feature issues without careful labeling and triage discipline. - Source: dev.to / 3 months ago

• How to Write a Technical Debt Remediation Plan for Non-Technical Stakeholders

  Linear and similar tools can track velocity metrics per area of the codebase over time, making the before/after comparison straightforward to document. - Source: dev.to / 3 months ago

• Master the in demand of salary negotiation and system design: What Fails

  Most engineers fail salary negotiations because they use vague statements like "I work hard" or "I’m a good teammate" instead of quantified, verifiable impact. After 15 years of negotiating offers, I’ve found that engineers who tie their ask to concrete business outcomes land 30% higher offers than those who don’t. For example, instead of saying "I improved the API", say "I reduced API p99 latency by 400ms, which... - Source: dev.to / 4 months ago