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Find all the email addresses related to a domain

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ORM builds custom forecast models on your CRM data to tell sales teams exactly what to do next. 85-95% forecast accuracy for B2B SaaS revenue leaders.
Which is more popular?
Based on our record, Hunter.io seems to be more popular. It has been mentioned 155 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | hunter.io | orm-tech.com |
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| Company | Startup from France | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Hunter.io yet.
ORM Technologies is a predictive revenue analytics platform for B2B SaaS companies. The platform brings sales, marketing, and customer data into one model and applies machine learning, AI, and operations research to answer the revenue questions most teams can't: what will this pipeline actually...
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Hunter.io and ORM Technologies.
ORM Technologies's answer:
B2B SaaS sales leaders, marketing executives, and revenue operations teams at companies between $100M and $1B ARR where forecast accuracy has board-level consequences.
ORM Technologies's answer:
Trend Micro Zix (now OpenText)
ORM Technologies's answer:
ORM is a managed prescriptive revenue analytics platform — not just a dashboard. A dedicated team of data scientists builds custom mathematical models on your CRM data and delivers specific, prioritized actions to close the gap between forecast and target. While most tools stop at showing you what happened, ORM tells you exactly what to do next: which deals to accelerate, where to reallocate reps, and how to shift marketing budget — with expected revenue impact for each action. Forecast accuracy runs 85–95%, verified across their client base.
ORM Technologies's answer:
Platforms like Clari and Gong provide pipeline visibility and conversation intelligence, but neither delivers prescriptive analytics. They won't tell you "shift $400K from channel A to channel B, reassign one SDR from enterprise to mid-market, and here's the revenue impact." ORM does. It also handles messy, siloed CRM data across multiple instances without forcing a painful migration — it normalizes everything into a single source of truth. And unlike self-serve tools, ORM acts as an extension of your team, meeting bi-weekly to interpret data, flag anomalies, and guide resource planning.
ORM Technologies's answer:
Founded in 2011 in Dallas, TX by John Ryan and Pete Furseth. John brings 30+ years as a senior executive in high-growth tech companies — he's been CEO/President of two public companies that both achieved 100%+ annual revenue growth. He holds a Bachelor of Mathematics from the University of Waterloo, an MS in Engineering Management from SMU, and is a Chartered Accountant. ORM was built on the belief that sales and marketing leaders shouldn't just get reports — they should get specific, math-driven actions to hit their targets.
ORM Technologies's answer:
Cloud-based platform hosted on AWS/Azure, combining machine learning, statistical forecasting, mathematical optimization, and large language models to deliver explainable, actionable, and conversational analytics. Integrates natively with CRM platforms (Salesforce, HubSpot), marketing automation systems, and ERP instances. SOC 2 Type 2 certified. Version control via Git.
Share your experience with using Hunter.io and ORM Technologies. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Hunter.io is an ideal outreach tool for finding and verifying prospects’ email addresses for outbound lead-generation campaigns.
If email addresses are important to you, it could be worth considering Apollo.io competitors like Hunter. With Hunter, you can find and outreach to prospects by email.
Gathers and Confirms Contact Details – Hunter.io uses advanced artificial intelligence to help you find, verify, and enhance the contact information for your potential customers or leads. This ensures you have...
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Recommendations tracked on public social media and blogs since March 2021.


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... - Source: dev.to / 4 months ago
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... - Source: dev.to / 4 months ago
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... - Source: dev.to / 5 months ago
Tracking ORM Technologies since Apr 2026.
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