AI clustering
One feature request. Asked 47 ways.
Supoid groups duplicate feedback the moment it lands — so you see the volume, not the noise. Tunable threshold, full transparency on every merge, no per-resolution metering.
Real cost from our pipeline (text-embedding-3-small + Haiku 4.5 metadata). Featurebase charges $290 for the same volume — 100× more.
Tunable per workspace. Slide it up to merge less aggressively, down to merge more. Everyone else's AI is a black box.
Embedding + metadata + cluster match end-to-end. Inngest fans out so high-volume workspaces don't queue.
Why this matters
Stop reading the same request 47 times
Three customers ask for dark mode. Twelve more next month. AI clustering shows you a single 'Dark mode (47 votes)' card with the volume signal you actually need.
Glassbox AI, not a black box
Every cluster has a 'Why merged?' panel — see the cosine similarity score, the reference embedding, and which items contributed. Disagree? Adjust the threshold or split the cluster.
Sentiment + category, automatic
Each piece of feedback lands tagged with sentiment (frustrated / neutral / excited) and category (feature / bug / integration / billing) before you even open the inbox.
PII-redacted before any AI call
Emails, phone numbers, common credentials regex-masked at the edge. Zero-data-retention agreements with both OpenAI and Anthropic via OpenRouter.
How it works
- 01
Feedback lands
Customer submits via the public board, embeddable widget, email, or REST API. The raw text + author metadata lands in Postgres.
- 02
Embedding + metadata in parallel
Inngest fans out two AI calls: text-embedding-3-small for the 1536-dim vector, and Haiku 4.5 for the sentiment/category/PII pass.
- 03
Threshold-based cluster match
We run an HNSW cosine search against existing cluster centroids. Above threshold (default 0.82) → merge in, update the centroid via running mean. Below → seed a new cluster.
- 04
Summary on demand
Once a cluster has 5+ members, Sonnet 4.5 drafts a one-line summary. Pin it in your inbox, drop it into a roadmap card, or close the loop with everyone who voted.
Side by side
| Feature | Supoid | Featurebase / Canny |
|---|---|---|
| Tunable threshold | — | |
| "Why merged?" reasoning panel | — | |
| AI cost (per 1,000 items) | $0.86 | $100–$290 |
| Sentiment + category on intake | ||
| PII redaction before AI call | varies | |
| Per-resolution metering surprise | — | |
| Included in Free plan | — |
Ready to hear what your customers actually want?
Six minutes from sign-up to your first clustered, tagged, actionable feedback. Free forever for solo founders.
No credit card · Cancel anytime · GDPR self-service