Most gtm enrichment waterfalls rely on public LinkedIn data, so they miss up to 40% of an ICP, especially SMBs that barely use it. Quickenrich crawls the rest of the web and uses LLMs to find and reverify who’s who at each company. One API for Claude Code, Codex, Clay, or n8n.
What is Quickenrich.io good at that others aren't?
A) Quickenrich specialize in finding hard to find data that other data providers do NOT have. Meaning we are crawling the web including google maps, websites from Common Crawl, etc to find what types of companies exist in the world and who works there. We then test out the emails we find and do pattern matching and verify them with @BounceBan
B) Quickenrich allows unlimited exporting so you aren't restricted by
What is Quickenrich NOT good at?
A) While we have strong mobile coverage for contacts in the US, we don't have a lot of mobile data for people outside of the US unless the data is available on the company's website.
B) Quickenrich does NOT have native integrations within its web application so users cannot easily push contacts to other SaaS services. We expect users to use our API for that.
Where do most people use Quickenrich?
A) Even though we have a web app, most people use our B2B Data API within their Claude Code, Codex, custom code, or Clay. Our rate limits are super high at 6,000 per minute so they are able to get data in real time for their customers and or end use.
I'm Tom Blue, and today we're launching Quickenrich; B2B enrichment for the rows your GTM waterfall can’t fill.
If you've ever watched your enrichment waterfall run through provider after provider without enriching contacts and companies you KNOW have an email and phone number, you know the problem we're trying to solve.
We built Quickenrich for the rows everyone else misses.
Here's how it started.
I'm also the founder of Lead411. Over the past year, GTM engineers, AI agent builders, and other data platforms kept coming to us with the same three frustrations:
The same people and companies kept falling through the cracks. Especially prospects without much of a LinkedIn presence. Current b2b data providers are selling the same Linkedin dataset. We scrape all websites from Google Maps, Common Crawl, etc.
Getting enough data meant getting locked in. Teams wanted high-volume access without committing to an annual contract.
Enrichment couldn't become the bottleneck. They needed a fast API they could plug into waterfalls, or real-time workflows.
Meanwhile, the way people build GTM systems was changing fast. Clay, n8n, Claude Code, Codex — more teams were building their own workflows and agents, and they needed data infrastructure that could keep up.
That led us to this... What if you could keep your existing enrichment stack and use Quickenrich to fill the gaps it leaves behind?
That's what we're building.
With Quickenrich, you get comprehensive B2B data coverage, high-volume access with month to month pricing, and a quick API you can use in Clay, Claude Code, Codex, or your own code.
One thing users have told us consistently: "I'm not missing 40% of my ICP anymore."
And we're seeing real demand: we grew from $2K to $55K MRR in three months. We're reinvesting heavily in more data and better features, and we're here to listen. If coverage, data freshness, API speed, or pricing isn't where you need it to be, I genuinely want to hear about it.
🏷️ 25% off paid subscriptions for the first 12 months with code PHQUICKENRICH
If you're building a GTM waterfall, an AI agent, or a product that depends on B2B data, I'd love for you to try Quickenrich.
Tell me what you're building, which rows your current providers can't fill, or what you'd like to see us build next. I'll be here answering questions about our data, API, and pricing.
Report
Hunter
@tomblue The more I’ve learned about the capabilities of QuickEnrich, the more I’ve been impressed! Definitely not the usual research tool.
Report
Hunter
Excited about this launch!
With 25,000 free credits, QuickEnrich gives GTM teams a practical way to answer three questions that shape positioning, pipeline, and account strategy:
- Which adjacent markets might need what we sell?
- Which partners already have access to our buyer?
- Which people at an account need to be involved before a deal moves forward?
A few ideas for using the credits:
🧭 Test demand beyond the obvious category
Use Company Finder to search by the work companies do and the language on their websites, rather than relying only on industry labels.
For example, if you sell client-reporting software, search for companies whose homepage mentions “performance marketing,” “analytics consulting,” or “marketing reporting.” Add filters for size, revenue, and geography, then interview a sample before treating any group as a new ICP.
This creates an evidence-based shortlist of adjacent segments to test before committing budget to a campaign.
🤝 Find the people your buyer already trusts
Use Company Finder to identify agencies, consultants, and complementary tools that already serve your ideal customer.
Use Contact Finder to identify relevant people at those companies. It shows whether a contact has an email or phone in the database, so you can decide who is worth enriching before spending credits.
Then use Email Search with a person’s LinkedIn URL, or their company URL plus first and last name, to retrieve details for the strongest candidates.
This helps you build a focused list of potential referral, implementation, or co-sell partners who already have context with your buyer.
🕸️ See the full buying group behind an account
For a high-value account, use Domain Search with the company URL and several relevant titles, such as “VP Marketing, Head of Growth, Marketing Operations Manager.”
Group the results by company, then label each person’s likely role: champion, evaluator, end user, or economic buyer.
This gives sales an account-level view of who to engage, and helps marketing match proof points to the concerns of each role.
Feel free to share your ideas!
Report
Great product, highly recommend. I use it at the top of my waterfalls along with Deepline (they integrate with it). If you're not using this in your waterfall, you're missing out on different + better + cheaper data than the big sources everybody already uses.
Have actually used the tool and had a great number of solid verified leads to work with. Thanks Tom for bringing such a great tools to being for us GTM specialists
Hey Product Hunt! 👋
I'm Tom Blue, and today we're launching Quickenrich; B2B enrichment for the rows your GTM waterfall can’t fill.
If you've ever watched your enrichment waterfall run through provider after provider without enriching contacts and companies you KNOW have an email and phone number, you know the problem we're trying to solve.
We built Quickenrich for the rows everyone else misses.
Here's how it started.
I'm also the founder of Lead411. Over the past year, GTM engineers, AI agent builders, and other data platforms kept coming to us with the same three frustrations:
The same people and companies kept falling through the cracks. Especially prospects without much of a LinkedIn presence. Current b2b data providers are selling the same Linkedin dataset. We scrape all websites from Google Maps, Common Crawl, etc.
Getting enough data meant getting locked in. Teams wanted high-volume access without committing to an annual contract.
Enrichment couldn't become the bottleneck. They needed a fast API they could plug into waterfalls, or real-time workflows.
Meanwhile, the way people build GTM systems was changing fast. Clay, n8n, Claude Code, Codex — more teams were building their own workflows and agents, and they needed data infrastructure that could keep up.
That led us to this... What if you could keep your existing enrichment stack and use Quickenrich to fill the gaps it leaves behind?
That's what we're building.
With Quickenrich, you get comprehensive B2B data coverage, high-volume access with month to month pricing, and a quick API you can use in Clay, Claude Code, Codex, or your own code.
One thing users have told us consistently: "I'm not missing 40% of my ICP anymore."
And we're seeing real demand: we grew from $2K to $55K MRR in three months. We're reinvesting heavily in more data and better features, and we're here to listen. If coverage, data freshness, API speed, or pricing isn't where you need it to be, I genuinely want to hear about it.
Product Hunt launch offers:
🎁 25,000 free credits to enrich and/or export contacts and companies with emails and mobile numbers: https://app.quickenrich.io/PHpromo
🏷️ 25% off paid subscriptions for the first 12 months with code PHQUICKENRICH
If you're building a GTM waterfall, an AI agent, or a product that depends on B2B data, I'd love for you to try Quickenrich.
Tell me what you're building, which rows your current providers can't fill, or what you'd like to see us build next. I'll be here answering questions about our data, API, and pricing.
@tomblue The more I’ve learned about the capabilities of QuickEnrich, the more I’ve been impressed! Definitely not the usual research tool.
Excited about this launch!
With 25,000 free credits, QuickEnrich gives GTM teams a practical way to answer three questions that shape positioning, pipeline, and account strategy:
- Which adjacent markets might need what we sell?
- Which partners already have access to our buyer?
- Which people at an account need to be involved before a deal moves forward?
A few ideas for using the credits:
🧭 Test demand beyond the obvious category
Use Company Finder to search by the work companies do and the language on their websites, rather than relying only on industry labels.
For example, if you sell client-reporting software, search for companies whose homepage mentions “performance marketing,” “analytics consulting,” or “marketing reporting.” Add filters for size, revenue, and geography, then interview a sample before treating any group as a new ICP.
This creates an evidence-based shortlist of adjacent segments to test before committing budget to a campaign.
🤝 Find the people your buyer already trusts
Use Company Finder to identify agencies, consultants, and complementary tools that already serve your ideal customer.
Use Contact Finder to identify relevant people at those companies. It shows whether a contact has an email or phone in the database, so you can decide who is worth enriching before spending credits.
Then use Email Search with a person’s LinkedIn URL, or their company URL plus first and last name, to retrieve details for the strongest candidates.
This helps you build a focused list of potential referral, implementation, or co-sell partners who already have context with your buyer.
🕸️ See the full buying group behind an account
For a high-value account, use Domain Search with the company URL and several relevant titles, such as “VP Marketing, Head of Growth, Marketing Operations Manager.”
Group the results by company, then label each person’s likely role: champion, evaluator, end user, or economic buyer.
This gives sales an account-level view of who to engage, and helps marketing match proof points to the concerns of each role.
Feel free to share your ideas!
Great product, highly recommend. I use it at the top of my waterfalls along with Deepline (they integrate with it). If you're not using this in your waterfall, you're missing out on different + better + cheaper data than the big sources everybody already uses.
@brandon_hays3 Thank you so much Brandon!! HUGE FAN of https://deepline.com/ too! Hopefully they will launch on here soon.
Have actually used the tool and had a great number of solid verified leads to work with. Thanks Tom for bringing such a great tools to being for us GTM specialists