Everyone can count likes.We count buyers.
We read what an audience actually says when it is being sold to — and tell you which creator will move product, before you spend a rupee.
Find me
Fitness nano influencers in Mumbai, 10K–50K followers, who can promote protein.
- Where can I buy this?HIGH
- price kya hai?HIGH
- so pretty 😍LOW
- link please 🙏HIGH
- love you didiLOW
- any discount code?HIGH
- is this available in Pune?HIGH
Purchase intent
84/100
- Followers
- 23.4K
- Engagement
- 7.3%
- Est. cost per reel
- ₹5,000–8,000
01The problem
Every tool in this category ranks creators by likes.
Two fitness creators in Mumbai. Comparable followers, comparable engagement. Every platform you can buy today would put the first one on top — and if you are paying for conversions, that is the wrong answer.
@aesthetic.aarti
48.2K followers · 8.4% engagement
- Beautiful 😍
- love you didi
- queen 👑
- so pretty
- Amazing ✨
Purchase intent
8/100
@subtle.strength
23.4K followers · 7.3% engagement
- Where can I buy this?
- price kya hai?
- link please 🙏
- any discount code?
- ordering today
Purchase intent
84/100
The first has an audience that admires her. The second has an audience asking where to buy. Only one of those turns into revenue — and nothing on the market tells you which.
02The insight
Read the comments, not the count.
Engagement measures whether people reacted. Purchase intent measures what they said. We classify every comment on a creator's sponsored posts and turn the ratio into a single score.
01
Find
Whole-web search — Reddit, niche blogs, forums — so a 12K-follower creator surfaces, not just the ones already famous enough to be written about.
02
Read
Sample 30 comments from each of the last 15 posts, weighted toward sponsored ones — where an audience shows how it behaves when it is being sold to.
03
Score
Every comment classified by cosine distance against labelled intent vectors, in Postgres. "Where can I buy this?" and "Beautiful 😍" are not the same signal.
04
Decide
An estimated fee and expected reach per reel, from the creator's own numbers — before a rupee moves.
03The economics
Reading comments is the expensive part. So we do it last.
Discovery is wide and cheap. Comment analysis is narrow and costly — so nothing expensive runs until you have chosen a shortlist. One decision, most of the bill.
$0.12
Find 40 candidates across the open web
$3.54
Full analysis of the 15 you shortlisted
62%
Saved by analysing only the shortlist
Every run makes the next one cheaper.
Each creator we analyse joins an index that is yours. Run the same niche next month and most of the work is already paid for — $3.66 cold becomes $1.60 warm, and it keeps falling.
04Under the hood
Built for the nano range
Whole-web discovery
Serper-backed search, cached so a repeated niche costs nothing.
Intent scoring
Comments classified against seed vectors in pgvector.
A creator index you own
Every analysed creator is stored. Next month is mostly already paid for.
Brand safety
Avoid-keywords and content-fit checks before a name reaches your shortlist.
05Get started
Stop paying for likes you cannot bank.
Built for D2C brands who measure campaigns in revenue, not reach.