CClawdate
clawdate.ai·claw + date ≈ candidate

Date your first 1,000 users

Say in one sentence who you want to find. Clawdate turns it into precise keywords, searches X one keyword at a time, and lists the real posts. Nothing found beats nothing relevant.

No credit card. One sentence about who you want to find is enough.

Two steps, from one sentence to results you can act on

01

Describe who you want

One sentence: the topic, the audience, the products or brands involved. The more specific, the sharper the keywords.

02

AI extracts precise keywords

The model supplies what people actually type: cross-language variants, real brand names, terms of art. Code owns the syntax, one keyword per query.

03

Raw results, judged by you

Every result shows which keyword surfaced it. Star the good ones, dismiss the rest. No AI score standing between you and the post.

The moat

The value is not rewording your search. It is knowing which words to search.

One topic has three or four Chinese phrasings, plus English brand names and terms of art, and X shreds unquoted Chinese into noise. So the model only supplies domain knowledge, while code owns syntax and the precision gate: one keyword per query, anything too broad gets dropped. Every result comes with the keyword that surfaced it.

Keywords extracted from one sentence
英国电话卡英国手机卡英国运营商推荐UK SIM cardUK eSIMbest UK mobile networkgiffgaffCTExcel

Example need: people looking to buy a UK SIM card

Date your first 1,000 users.

Create your first campaign and see who on X is actually talking about it.

Start free