Extruct helps you search for companies using complex natural language queries. It enriches company data, including hard to parse unstructured information, and finds and enriches people’s contacts through a waterfall process across more than 20 sources
Hey Product Hunt! This is Danny, one of the co-founders of Extruct AI!
We upvote products we love here, but when you want to find similar ones or that product you saw last month, you're stuck with categories that don't reflect what actually matters.
Think of finding "AI-native project management" startups –- good luck with that in Crunchbase or even here (sorry PH admins).
Traditional company databases and sales intelligence tools work great for well-documented companies. But what if you need to find companies by what they're doing - not just what category they're in?
Tech solutions helping e-commerce sites drive traffic?
SMEs in Delhi doing both manufacturing and trading?
Companies with a corporate VC arm investing in mobility companies in Africa?
Fund of funds investing in secondaries in LatAm.
The nuanced searches that actually matter to your business aren't possible with standard filters.
We built Extruct for the searches nobody else can handle.
We're a company search engine that goes beyond curated databases.
We combine structured data processing with real-time web intelligence - crawling job posts, news, local registries, and unstructured sources to find companies that traditional tools miss entirely.
Why we built this:
We lived this problem from different angles.
I worked in corporate development, sourcing partners from Central European SMBs to emerging market startups - existing tools couldn't handle the nuance.
@heydima tackled it from the KYB side, extracting data from fragmented business registries and unstructured sources.
@stepansmirnov scraped dozens of onboarding flows to create the most complete dataset of design references.
Then we started playing with LLMs and web scraping. We realized: AI-powered web-search agents can crawl, parse, and extract the same intel legacy platforms sell - at a fraction of the cost.
Who it's for:
One manufacturing company uses us to find logistics companies implementing cold chain monitoring.
A consultant searches for "SaaS companies using ClickHouse database" - highly specific technical criteria that traditional filters can't handle.
An investor maps geographical dealer networks and partnership data.
And you do all this with natural language queries - no building complex workflows or learning query syntax.
So we built the company search properly from scratch.
Businesses selling to hard-to-reach verticals, teams doing intensive research before outreach, or investment firms chasing specific targets and monitoring markets - if your ICP isn't in existing databases, you need us.
P.S. Launch special: Get 30% off the Business Plan for your first year with code "PHPLANE30"
P.P.S. We have an API.
Try asking us something your current tools can't answer.
2pr
@heydima @stepansmirnov @daniel_chepenko congrats w/ a launch! What are the output formats? ie can this be easily integrated to emailfinder or instanlty etc
Refero
@islam_midov Thanks for reply!
At the moment you can export companies and contacts to CSV, plus we already support Affinity CRM. Instantly and a few more integrations are coming very soon!
Refero
Congrats on lunch! 👏
Extruct looks great and promising. Does it work globally, or is the data mostly focused on US companies, in terms of both search and data enrichment?
@mooneeboy Hey Lidiya, thanks!
Extruct works globally – every search spins up AI crawlers that hit the live web, Google Maps, local business registries, and our proprietary index.
We've had teams source family-owned manufacturers in Poland, halal-certified food distributors in Pakistan, solar installers across West Africa, and industrial suppliers in Turkey. If it's on the public web, we can find it.
The data enrichment pulls from 20+ sources globally too – so whether it's a startup in SF or an SME in Cairo, you get the same depth.
Any specific market you're looking to explore? Happy to show you what we find! 🚀
Extrovert
big congrats on shipping this!
"searches nobody else can handle" angle is dope
Quick q: how do you handle fresh/fast-changing signals, like when a company discreetly pivots or launches a service, but there’s nothing in formal databases yet?
Being able to spot those early movers can be HUGE for outbound. For our GTM finding the right leads (not just more leads) is the biggest unlock
@oleg_sobolev hey, thanks!
Agentic search is still hard to get right - it all comes down to agent design. whenever we find a data point, we cross-check it against several sources.
Extrovert
Congrats, Dany! Sales tech is booming, and you are on the curl's rip! :)
@dmitry_bergelson hey, thanks!
The waterfall process across 20+ sources sounds incredibly robust for contacts.
@rajpurohit_vijesh thanks! so true, and cheper than in Clay
Value Sense
Gj! Have a nice launch
@matvey_veretennikov thanks!
Remy AI
The idea looks very relevant to me. I'll definitely give it a try! Good luck, guys!
@artyom_zhuravlev thanks! Curious what your case today?