GitHub Reviews

1. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

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.

GitHub mentions (2476)

• Como criei um agente de IA para selecionar testes automaticamente em PRs (Parte 1)

  """Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / about 23 hours ago

• I Treat My Video Descriptions Like a Build Artifact Now. Here's the Pipeline.

  # video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 2 days ago

• I audited a 5.5 GB AI training dataset by downloading 0.8% of it

  Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 7 days ago

• Superlogical – Mitchell Hashimoto

  Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:

          Host *.

  - Source: Hacker News / 14 days ago

• Your Agent's Confidence Score Is Not a Probability

  All of this assumes you can actually inspect what the agent did — the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 15 days ago

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 / 6 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