Common Room vs Warmly (2026) Compared

Two different takes on finding ready-to-buy signals. One watches communities, the other watches your website.

The key difference between Common Room and Warmly: Common Room wins for PLG companies tracking community engagement. Warmly wins for sales-led organizations who want to know which accounts are on their website right now.

The Short Version

THE SHORT VERSION

Common Room wins for PLG companies tracking community engagement. Warmly wins for sales-led organizations who want to know which accounts are on their website right now.

Starting Price
Common Room Free (limited)
vs
Warmly Free (limited)
Paid Plans
Common Room $625/mo+
vs
Warmly $500/mo+
Job Postings
Common Room 1
vs
Warmly 31
Primary Signal
Common Room Community activity
vs
Warmly Website visits

In our dataset of 23,338+ job postings, Common Room appears in 1 postings while Warmly appears in 31. Warmly has 3000% higher adoption in hiring data.

Quick Comparison

Feature Common Room Warmly
Free Plan Yes (limited) Yes (limited)
Paid Starting $625/month $500/month
Primary Signal Community activity Website visitors
Deanonymization Community profiles IP-to-company
Slack/Discord Tracking Core feature No
GitHub Tracking Core feature No
Website Intent Limited Core feature
Real-time Alerts Yes Yes
Best For PLG/developer tools B2B website intent

Deep Dive: Common Room

What They're Selling

Common Room is community intelligence for go-to-market teams. Track engagement across Slack, Discord, GitHub, and Twitter to identify who's ready to buy.

What It Actually Costs

Free tier for small communities. Team plans start around $625/month. For mid-sized PLG, budget $10,000-25,000/year.

What Users Say

DevRel and PLG teams love the signal aggregation. Common concerns are the price and setup complexity for non-developer tools companies.

Pros

  • Aggregates community signals
  • Identifies champions
  • GitHub and Slack tracking
  • Good for PLG motion

Cons

  • Requires active community
  • Premium pricing
  • Setup can be complex
  • Less useful without community

Read the full Common Room review →

Deep Dive: Warmly

What They're Selling

Warmly deanonymizes website visitors and tells sales who's browsing right now. Stop cold outreach when you can contact accounts showing intent.

What It Actually Costs

Free tier for small traffic. Paid starts around $500/month. For mid-market B2B, budget $6,000-15,000/year.

What Users Say

Sales teams value real-time visitor alerts. Common concerns are accuracy with SMB accounts and privacy considerations.

Pros

  • Real-time visitor identification
  • Account-level alerts
  • Works with any website
  • Quick to implement

Cons

  • IP deanonymization has limits
  • Less accurate for SMB
  • Privacy considerations
  • Doesn't track community

Read the full Warmly review →

Which Should You Pick?

IF You're a developer tool with a Slack community
THEN Common Room. Community engagement is your signal.
IF You want to know which accounts are on your website
THEN Warmly. Real-time visitor identification and alerts.
IF You're sales-led without community motion
THEN Warmly. Common Room requires community data.
IF You're building a PLG funnel
THEN Common Room. Track the full journey from community to customer.

The Honest Take

These products solve different problems. Common Room is for PLG companies tracking community engagement. Warmly is for any B2B company wanting website visitor intelligence. Choose based on your go-to-market motion.

Questions to Ask Before Buying

  1. Do you have an active developer community?
  2. How much traffic from target accounts?
  3. Is your GTM community-led, product-led, or sales-led?
  4. Do you sell to enterprise or SMB?

Frequently Asked Questions

Can I use both?

Yes. Some use Common Room for community signals and Warmly for website intent.

How accurate is Warmly's deanonymization?

60-80% for enterprise accounts. Struggles with SMB and remote workers.

Does Common Room require developer resources?

Initial API setup may need dev time. Ongoing use is for GTM teams.

About the Author

Rome Thorndike has spent over a decade working with B2B data and sales technology. He led sales at Datajoy, an analytics infrastructure company acquired by Databricks, sold Dynamics and Azure AI/ML at Microsoft, and covered the full Salesforce stack including Analytics, MuleSoft, and Machine Learning. He founded DataStackGuide to help RevOps teams cut through vendor noise using real adoption data.