Customer signal,
organized.

Nodi aggregates feedback from Intercom, Slack, support tickets, and sales calls. Clusters by similarity. Tags by MRR. Pushes revenue-ranked issues directly to Linear.

Stop triaging. Start shipping.

Live signal feed
I
Intercom · Acme Corp

"Export feature is critical for our team — we need it before Q3"

$1,200/mo
S
Slack · Techflow

"Customer requested CSV export again — 3rd time this week"

$840/mo
S
Support · DataStack

"Can we get a data export button in the reports view?"

$600/mo
C
3 signals → 1 cluster

Export Feature — $2,640/mo at risk

Priority
L
Pushed to Linear

EXPORT-FEATURE-004 · High · 3 customers · $2,640 MRR

Done
Connect once, capture everything

Every channel. One stream.

I Intercom

Support conversations and saved replies

S Slack

Product feedback in #customers and DMs

T Support desk

Zendesk, Freshdesk, Help Scout tickets

N NPS surveys

Verbatims and open-text responses

C Sales calls

Call notes and deal intelligence

G GitHub

Issue comments and feature requests

Signals become clusters

Nodi reads every incoming signal and uses semantic similarity to group related requests — even when the wording is different. "Can you add export?" and "Need CSV download" and "Ability to pull data" all become one cluster.

Each cluster is tagged with the combined MRR of all requesting customers, so the work that affects the most revenue naturally surfaces first.

$2,640/mo

Export Feature

Intercom · "export..."
Slack · "CSV download..."
Support · "pull data..."
NPS · "data access..."
Revenue-aware ranking

MRR changes everything

Most PM tools rank requests by vote count. Nodi ranks by revenue. A feature requested by three enterprise customers is worth more than one requested by twenty free users. Nodi knows the difference.

Cluster Signals MRR Impact Priority Score
Export Feature 4 signals $2,640 94
SSO Integration 3 signals $1,800 81
API Rate Limits 6 signals $420 58
Dark Mode 12 signals $0 31
The flow

From signal to Linear issue

01

Connect sources

Integrate Intercom, Slack, support desk, NPS, and sales tools in under 10 minutes. No engineering required.

02

Nodi clusters

Signals are grouped by semantic similarity and enriched with MRR data from your CRM or billing system.

03

Push to Linear

Ranked clusters become Linear issues with full context attached — customer voice, MRR, signal history.

Linear is great at execution. Nodi is great at knowing what to execute.

The gap between customer signal and shipped work shouldn't be a manual process.