Coresignal opened their data to non-tech user
Coresignal opened their data to non-technical users - and it's kind of a big deal for anyone doing sales, company research, or building AI automations.
I think what we just shipped is genuinely worth talking about in this community.
Coresignal has always been a strong B2B data provider - the kind of tool that data teams and technically sophisticated platforms are built around. Multi-source company, employee, and jobs data, fresh, context rich, strong infrastructure. The customers who knew how to plug into it loved it.
But quality B2B data has historically required exactly that: a team that knows how to work with it. Data pipelines, API integrations, an engineer who understands the schema. That's just the nature of the space.
This week we shipped something that changes that equation.
Now Data Search lets you describe what you want in plain English and get a structured B2B lead list back. No SQL. No pipeline setup. No technical prerequisite. Leads with unmatched level of context.
The reason I think this matters specifically for the IH crowd:
A lot of people here are building new tools, AI products, running sales automations, Hr automations, and looking for ways on how to create them faster/easier. All of that lives and dies on data/list quality. And until now, access to really good data meant either paying for a dumbed-down tool or having the technical chops to work with a proper data provider.
The workflow with Coresignal Data Search is:
- Prompt → Describe your ideal leads, companies, or research targets in plain English
- Preview → Get 100 top-matching records with real-time refinement and transparent queries you can copy for larger-scale API use
- Refine your list → Easily refine your list by adding additional conditions in natural language.
- Select fields → Choose the data fields you need from our available enrichment options
- Enrich → Enrich all profiles or just the ones you select with the fields you select
- Export → Download your list as a 100-record preview or a full enriched dataset up to 10,000 enriched records
What I find most interesting for builders: it also surfaces the underlying query, which you can take straight to the API to operationalize at scale. So it doubles as a fast prototyping layer for anyone who eventually wants to automate.
We're live on Product Hunt today if you want to try it:
👉 https://www.producthunt.com/products/coresignal/launches/coresignal-data-search
Curious if anyone here has been frustrated by this gap - great data on one side, the technical barrier to access it on the other. Would love to hear how you've been solving it and your feedback on https://coresignal.com/
Removing the technical barrier to quality data is genuinely useful — the prompt-to-lead-list workflow is the right direction.
But here's what I've noticed with founders who finally get access to good B2B data: the bottleneck shifts immediately.
Before: "I can't get the right list."
After: "I have the list. Why isn't it converting?"
The answer is almost always the same — the outreach copy doesn't match the specificity of the data. They're reaching hyper-targeted leads with generic messaging. "Hey, I noticed you're a SaaS founder" talking to someone Coresignal identified by tech stack, headcount, hiring signals, and funding stage. The data is precise. The message is not.
So the unlock this creates is real — but the full value only materializes when the messaging is built around the signals in the data. Founders who close the loop on that (data specificity → message specificity) see a completely different response rate.
Worth thinking about for the positioning too — "better data" is table stakes in this space. "Data that finally makes your outreach feel relevant" is the outcome people actually want.