Apollo.io Reviews

1. michelleturner

   · Managing Director at Nuvoro Digital · 11 months ago
   Apollo for automated outreach

   We use Apollo with our Sales and BDR team to manage our cold outreach. The strength of the platform is the sequences and cadences that you can set up. Compared to other tools we have used in the past like Salesloft the UI is much easier to navigate. The main limitation is that the quality of data isn't as vast and often I can find prospects on Linkedin but not in Apollo.

   🏁 Competitors: SalesLoft

   👍 Pros:    Creating email sequences|Ab testing of emails|Good user experience

   👎 Cons:    Data quality is lacking sometimes|Onboardin process was cumbersome

GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

Apollo.io mentions (69)

• Enriching Free Trial Signups: The PLG Data Stack for Turning Inbound Users Into Qualified Pipeline

  Personal email domains destroy this. Clearbit's Enrichment API returns a null company when it hits gmail.com. Apollo routes personal domains straight to a consumer bucket and skips B2B fields entirely. Even PDL's /person/enrich endpoint — the most permissive of the major providers — gives you around 32% hit rate on Gmail addresses versus 74% on corporate domains. I measured this across 6,200 signups for a... - Source: dev.to / 3 months ago

• 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

• Auto-Enriching Your CRM on New Contact Creation: A No-Code Webhook Playbook

  One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2–8 seconds of latency per row in my runs and costs more per match than going direct. For a CRM webhook flow where you need sub-second enrichment calls, Clay is the wrong layer to hit first. - Source: dev.to / 4 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

• LinkedIn Scraping Is Dead: 5 Legal, ToS-Safe Alternatives That Actually Work in 2026

  Despite having its LinkedIn Page removed in 2025, Apollo remains a functional enrichment and outreach platform with 275M+ contacts. The free tier includes 10,000 credits and the $49/month basic plan is the cheapest entry point for a combined enrichment-plus-sequencing workflow. Apollo's data collection methods have attracted LinkedIn's attention, but the product continues to operate. The risk I'd assign it:... - Source: dev.to / 4 months ago

GitHub Copilot mentions (388)

• Test smarter with Snagly: 30 open-source QA skills for AI coding agents

  Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you haven't met them yet, is a reusable instruction set that teaches the agent a specific working method — when to use it, what rigor it requires, what evidence to capture, and what... - Source: dev.to / 12 days ago

• I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.

  Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / about 2 months ago

• GitHub Copilot for Engineers: Getting Better Results

  You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / 3 months ago

• Agentic: Which App/Harness Is Best for Angular Development?

  For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / 3 months ago

• Your Design System Needs An MCP Server

  Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / 3 months ago