Product context
Your audience, pain points, and positioning help you judge whether a visible post is relevant.
Feature
Understand why a conversation fits your product
Review recommendation requests, complaints, and buying-intent clues in conversations captured through the extension or your manual submissions.
Reasons beside the score
Inspect detected phrases and matched signals. A score helps prioritize review; it is not a purchase probability.
Captured conversations
The feed organizes the opportunities you capture. It does not collect every post across a network while you are away.
Your next action
Decide whether to reply, save the context for research, or skip the conversation.
Next best pages
Choose your next step.
Explore the workflow, practice with examples, and compare the features you need.
Tools hub
See the product entry points that put these features into practice.
Product directory
Explore product profiles and relevant workflow examples.
Comparison pages
Move from feature understanding into decision-stage comparisons.
Buying-intent signals
Connect product mechanics back to the demand signals the workflow is built for.
Resources
Keep reading guides and playbooks that reinforce the same founder workflow.
The review
Read the original context before acting.
A recommendation phrase can be useful without being a lead. Check fit, timing, and whether participation is welcome.
Confirm your product solves the stated problem today.
Look for an unresolved question and an active decision.
Check the original thread and community rules.
Write an answer that helps even without a product link.
Coverage
The workflow starts with what you browse or submit.
Import a product website, connect the Chrome extension, and browse supported feeds. You can also submit post text through the dashboard. Saved searches open on the source platform.
The extension supports visible posts on Reddit, X, Bluesky, LinkedIn, and Facebook.
Reading depends on the content and page layout available to your browser.
Daily digests recap stored opportunities from the previous UTC day.
Content Lab reuses saved reply history; verify the source before publishing a claim.
Explore ReplyRadar
View pricingKeep learning before you choose a plan.
Check sampling bias in public research
Document who the collected conversations represent before drawing broader conclusions.
Product Fit Scoring
See the scoring model that powers the explainability layer.
Daily Opportunity Digests
See how the same intelligence model powers a calmer recap loop.
Founder Stack workflow
See how FounderSignals and ReplyRadar fit together without collapsing into the same job.
Feature request or buying-intent signal?
Keep product feedback, workflow pain, evaluation criteria, and active buying motion in distinct routes.
Route public customer signals
Assign one owner and next action while preserving source context and participation boundaries.
Anecdote, Pattern, or Trend?
Label public evidence according to the source scope and time comparison it can actually support.