Cleanlist AI 利用 AI 智能体自动化潜在客户搜索、丰富和验证，帮助销售团队将任意输入转换为 CRM 就绪的线索列表。
热门评论
PH 用户
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.
- 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!
PH 用户
Congrats on the launch, Levon! Really like the direction you're taking with Cleanlist AI. The AI research columns and CRM sync are a clever combination, can definitely see this saving GTM teams a ton of manual work. Looking forward to seeing where you take it. 🚀
PH 用户
Sounds super practical, Levon — love how Cleanlist cuts through the messy stack of tools and makes prospecting feel effortless. The “just ask” angle with Copilot + API support is a game-changer for founder-led teams who don’t want to babysit CSVs. Excited to see how this scales!
PH 用户
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.
PH 用户
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?
PH 用户
试了 Cleanlist AI，可惜体验让人失望。界面感觉过时且不直观，连基本操作都比应该的要复杂。导航混乱，工作流不顺畅，整体产品作为一款 AI 销售工具来说感觉不够精致。功能很多，但糟糕的用户体验让它们难以有效使用。在设计、易用性和整体产品质量上有大幅改进之前，我不会推荐它。
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!
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.