Cleanlist AI
Natural-language prospecting: find, enrich and sync leads.
436 followers
Natural-language prospecting: find, enrich and sync leads.
436 followers
Cleanlist AI turns any prospecting input into a verified, enriched, CRM-ready lead list. Upload a CSV, paste LinkedIn or Sales Navigator URLs, add domains, or use search filters, then let AI agents enrich contacts, verify emails, research each lead, and sync the final list to your CRM. With a 15-provider enrichment waterfall, AI research columns, and one-click CRM sync, Cleanlist helps GTM teams build lists without stitching together six tools.
This is the 3rd launch from Cleanlist AI. View more
Cleanlist AI
Launching today
Cleanlist AI turns any prospecting input into a verified, enriched, CRM-ready lead list. Upload a CSV, paste LinkedIn or Sales Navigator URLs, add domains, or use search filters, then let AI agents enrich contacts, verify emails, research each lead, and sync the final list to your CRM. With a 15-provider enrichment waterfall, AI research columns, and one-click CRM sync, Cleanlist helps GTM teams build lists without stitching together six tools.
Free Options
Launch Team / Built With
Cleanlist AI
Hey Product Hunt, Levon here, founder of Cleanlist.
The Problem
Building a prospect list used to eat our week. Export from one tool, enrich in a second, verify in a third, fix the CSV, load the CRM, then watch half the emails bounce anyway.
Most tools give you one of three bad options:
- Static databases: Clunky filters, stale data, and cleaning is still your job.
- DIY enrichment stacks: Powerful, but you wire up every provider and babysit each run.
- GTM orchestration platforms: Sophisticated, but much more expensive and almost always need a dedicated GTM engineer to run.
So we built Cleanlist to make prospecting feel like asking, not operating.
How Cleanlist is Different
However you prospect, it ends the same way: a verified, enriched, contextualized list, ready for your CRM or outreach platform.
- Start from anything. Upload a CSV, paste a LinkedIn or Sales Navigator URL, use People Search filters, or pull leads with our Chrome extension right on a LinkedIn profile.
- Or just ask. Tell Copilot who you want in plain English, or prospect from your own code and AI tools (Claude, Cursor) via our API and MCP.
- 15-provider waterfall. 98% email accuracy, 85% phone coverage, 50+ fields, no setup.
- Deep HubSpot and Salesforce integrations. Set your conditions and rules once, and building a list never means a manual lookup or cleanup again.
Who is this for?
B2B sales, marketing, and founder-led teams who want pipeline without running a separate tool for every step. We have over 500 paying users already!
Get started today
Free: 30 credits, no credit card. For Product Hunt, code PH25 = 25% off forever.
I'll be here all day. Ask me anything!
@levon_adamyan From the buyer side, the hard part of prospecting was never finding leads, it was trusting the enrichment. I've paid for lists where half the emails bounced or the decision maker had left months ago. How fresh is the data you enrich against, and do you flag confidence so I know which contacts are worth outreach? Bad data burns sender reputation before you notice.
Cleanlist AI
@arturbrugeman Yeah, this is a real problem in the industry, which is why we focus so much attention on our data quality.
Across most industries we work in we're seeing 95%+ verified on emails and around 85% on phone matches. That holds up better than tools charging several times what we do, which is the part I'm genuinely proud of. Data quality is the whole foundation of the product, everything else is extra.
The reason it holds is structural. We don't own a database, so nothing sits on our servers going stale. Every enrichment goes out live across 15+ providers and waterfalls until it finds a match. And you only get charged when something comes back, so a miss costs you nothing. That alone changes the economics of a bad list.
Every email also comes back with its verification status, so you know what's safe to send to before you send it, not after your domain takes the hit.
Different angle to the data quality thread above, and on the buyer side it's the one that would decide this for me before accuracy does.
A 15 provider waterfall is excellent for match rates and awkward for provenance. Under UK and EU GDPR, when you enrich someone's details from a third party, Article 14 says you have to be able to tell that person where their data came from, and they can ask. If the answer is "one of fifteen providers, whichever matched first", that's a difficult letter to write.
So: does provenance come back with the record? Does each enriched field carry which provider supplied it, stored and queryable later, or is the waterfall an implementation detail that gets discarded once a match lands? Same question for how you'd evidence lawful basis, since legitimate interests only stretches so far for cold outreach to individuals in the UK and EU.
I ask because whoever maintains the privacy notice will eventually be asked, and if the tool can't answer then the honest answer becomes we don't know, which is the one thing you can't put in writing.
Cleanlist AI
@dalemooney Every enriched field records which provider it came from, and that's stored against the record. We can pull the source for any contact after the fact. It doesn't get discarded when the match lands.
Caveat worth being straight about: it's not surfaced in the UI today. You'd ask us and we'd pull it. Fine for a subject access request, less fine if you want to self-serve it, and that's on the list.
Lawful basis is a longer answer and I'd rather give you that in writing. Email support@cleanlist.ai and I'll send the DPA along with how we handle UK and EU records.
@victor_paraschiv Better answer than I expected, and the caveat is the part most people would have left out, so credit for leading with it. Stored per field and retrievable is the thing that actually matters. The UI is a convenience on top of that.
One thought on the self-serve gap, since it's on your list anyway. The moment provenance gets asked for is rarely a calm one. It's a subject access request with a one month clock running, or somebody has complained, or legal wants a sample before signing. Email us and we'll pull it works fine at low volume and stops working exactly when it matters most. Worth noting too that the person handling the request usually isn't the person who bought the tool, so they arrive with no context and a deadline.
On lawful basis, a suggestion rather than a request: consider publishing your position instead of sending it on request. Every buyer with a DPO asks this same question, they all currently have to email you to get an answer, and most of your competitors are quietly hoping nobody asks. A public page setting out the basis, how you handle UK and EU records, and the DPA would do more for you than another accuracy percentage.
Cleanlist AI
@dalemooney You are right that email us works at low volume and falls over exactly when the clock is running, and I had not thought about the requester arriving with no context and a deadline attached.
On publishing the position, agreed, and it is the easier of the two to actually do. I will get a page up covering lawful basis, how we handle UK and EU records, and the DPA, linked from the footer so nobody has to email for it.
The self-serve export is a bigger lift and I am not going to put a date on it in a comment thread. You have moved it up though.
Appreciate you spending this much time on it.
@victor_paraschiv That's a good outcome for a comment thread, and not putting a date on the export is the right call.
One small thing on the page, since you're building it anyway: give it a stable URL you're happy to have pasted into a procurement questionnaire, and keep it plain rather than marketing-toned. The person who actually reads it is usually a DPO or a security reviewer who was forwarded the link by the buyer, and they're scanning for specific words rather than being persuaded. Getting forwarded is the entire job of that page.
Good luck with the rest of the launch.
Hello I have tested the Cleanlist AI and I want to provide some feedback:
The sign up using Google worked as expected, the configuration worked fine as user interface but in Network a lot of GET resulted in 401 Unauthorized just mentioning maybe it is as expected for a free account maybe not it's up to you to decide.
The People search worked for QA Manager returning a lot of potential leads. However I have tried to filter the results using Copilot to only show people with QA manager role not QA but the copilot generated some the following code that I think needs to be executed:
<function_calls> <invoke name="get_company_profile"> </invoke> </function_calls> <function_calls> <invoke name="people_search"> <invoke name="people_search"> <parameter name="titles">["QA Manager", "Quality Assurance Manager"]</parameter> </invoke> </function_calls>.
If there is another solution for filtering the people table please let me know. I hope my feedback will be useful. Have a great launch!
Cleanlist AI
@andrei_constantin_alexandru Salut!
Thanks for testing it properly and writing this up, genuinely useful.
For filtering, People Search has manual filters as well. You can set title there directly and get exact matches on QA Manager.
For the rest, hit us on live chat in the portal or support@cleanlist.ai and we'll get you sorted.
I am trying to wrap my head around this. Is it like a simpler version of Clay? What does it do that I can not do with a CSV file and Claude Code?
Cleanlist AI
@sm0r3ll Clay is a good product, it's just built for teams who have a GTM engineer sitting there, and most people asking this question don't. We come in cheaper and you don't need to hire anyone to make it work, which is where the real money goes with Clay anyway.
Start with actually finding people, which Claude Code can't do at all. You search by title, seniority, location, headcount, industry and you get a real list back, not whatever the model manages to scrape off a page. Same on the company side.
Then enrichment sits on top of that, 15+ providers waterfalling until you get a verified email or a direct dial.
Then Smart Agents, which is the bit I actually like. You ask a question in plain English and it runs against every row, so stuff like which CRM are they on, are they hiring SDRs right now, does the site mention SOC 2, how well do they fit our ICP. It goes and reads the site and the job posts and fills the cell in.
All of that's on the API too, and there's an MCP server, so if you want to drive the whole thing from Claude Code you can, then push the result straight into HubSpot or Salesforce.
Claude Code is a good researcher, it just has no database underneath it and nowhere to put the answer at the end.
the 15-provider waterfall is the bit that actually matters here, most tools stop at one and still call it enrichment. where do you cut it off though? running all fifteen on every lead would get expensive quick.
Cleanlist AI
@alex_watson2110 It stops at the first confident match. They're ordered by hit rate and cost, so most records resolve in the first one or two. The hard ones go deeper.
You pay one credit for a verified email whether it took one provider or nine. We absorb the rest. And we only charge when something comes back, so an unfindable lead costs you nothing.
Third Product Hunt launch and a clear jump in ambition each time, nice progression. The thing I would try first is pointing it at an old CSV export and letting the enrichment waterfall fill in the gaps before re-importing anything. When it syncs into HubSpot, does it dedupe against contacts that already exist there or create fresh records?
Cleanlist AI
@doganakbulut That's the use case I'd pick too, old exports are usually where the most value is sitting and nobody wants to touch them.
On HubSpot it matches on email and updates the existing contact, so you're not getting duplicate records. Default is fill-empty-only, so it leaves alone anything your team has already put in, and you can set it per property if you'd rather it overwrite or append.
I'd run a small batch through first so you can see exactly what it's writing before you point it at the whole export.
EverTutor AI
tried Cleanlist AI and unfortunately the experience was disappointing. The UI feels outdated and unintuitive, making even basic tasks more complicated than they should be. Navigation is confusing, the workflow isn't smooth, and the overall product feels unpolished for something positioned as an AI sales tool. There are plenty of features, but the poor user experience makes them difficult to use effectively. It needs significant improvements in design, usability, and overall product quality before I could recommend it.
Cleanlist AI
@suryansh_tiwari2 Hey, just checked! You don't have an account with us and are actually one of the people/agencies who reached out promising upvotes which we declined
As this is fully false, please kindly remove your comment, thanks!
Cleanlist AI
@suryansh_tiwari2 I believe your exact words after 2 times of telling you “NO” was:
“Going to do mass bot attack as well as Going to report to PH team”
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@product can we please take action against this user!