Monitor Reddit over time with ForumCue.

Follow communities, topics, and specific posts.Understand how discussions evolve through original posts and historical snapshots.

01Always reading

ForumCue keeps watching for you.

Choose what matters. ForumCue reads on a platform-set cadence and saves what it actually observes.

09:0009:3010:0010:3011:00

Reddit · r/SaaS · new

Is per-seat pricing dead for small teams?
How long did your first 10 customers take?
Roadmap templates that survived sales
We doubled trial length. Conversions dropped.
Raised our pricing 40% — here's what happened
Stripe vs Paddle for a two-person SaaS?
ForumCueForumCue reads on time

Saved reads

09:00r/SaaS · new25 Posts
09:30r/SaaS · new27 Posts
10:00r/SaaS · new26 Posts
10:30r/SaaS · new28 Posts
11:00r/SaaS · new25 Posts

Demo data

02One communityCommunity Monitor

Watch one community.See Posts new since your last visit.

Everyone keeps their own place. Come back and see only what arrived since last time.

Reddit · r/SaaS · new

What finally made our cancellation flow honest
Stripe vs Paddle for a two-person SaaS?
We doubled trial length. Conversions dropped.
Is per-seat pricing dead for small teams?
Onboarding emails that actually got replies
Raised our pricing 40% — here's what happened
How do you handle churn in the first 90 days?
Read on a fixed clock

Your Community MonitorNew for you 0

What finally made our cancellation flow honest
Stripe vs Paddle for a two-person SaaS?
We doubled trial length. Conversions dropped.
You were here · yesterday 18:40
Is per-seat pricing dead for small teams?
Onboarding emails that actually got replies
Raised our pricing 40% — here's what happened

Demo data

03One topicListening Topic

Don't know where the topic lives?Write a rule.

Target, context and exclude terms find the Posts that are really about it, anywhere on Reddit — each one says which rule it matched.

Listening Topic · Pricing feedback

Target · anypricingprice increase
Context · also presentSaaSsubscription
Excludehiring
TargetContextExclude
Our SaaS pricing change cut churn in half
✓✓—Match
Hiring: pricing analyst for a B2B startup
✓—✕Excluded
Gym membership price increase again
✓✕—No match
How we told subscription users about a price increase
✓✓—Match

2 matches, each noting which rule it matched

Demo data

04A few PostsPost List

Already know which Posts matter?Paste the links.

Revisit observed score, comment count and Post state on a platform-set cadence. Comment availability depends on the source.

Post List · Competitor launches

↗Paste a Reddit post linkreddit.com/r/SaaS/comments/1nq3k8/Add
We just launched usage-based billing — AMA

▲ 56 · 💬 18

TimeScoreCommentsState
10:00▲ 56💬 18Added
10:30▲ 96💬 27Comments changed → fetch thread
11:00▲ 142💬 27Unchanged
11:30▲ 171💬 31Locked

Demo data

05SnapshotsListing snapshots

One clock.One snapshot after another.

This example shows observed positions in new, rising, and hot. Actual history depends on source availability and collection coverage.

Time09:00
Listingnew
Position#1
Comments0
r/SaaS What changed after we simplified the pricing page?
newrisinghot#1#2#3#4#5#6Listing position09:0009:3010:0010:3011:0011:3012:00

Demo data

06Your AIWeb · MCP

One body of evidence,for you and for your AI.

Authorized AI clients can read relevant source data over MCP. Check important conclusions against the original Post and observation time.

Your AI · via Skill

Which pricing problems keep getting a response?
query_search_monitor_posts ({ query: "pricing" })✓ 12 Posts · with snapshots
Three pricing threads kept climbing across snapshots 12; annual vs monthly held hot the longest 3.

Reddit sources

1
Raised our pricing 40% — here's what happened
2
Is per-seat pricing dead for small teams?
3
Annual vs monthly pricing — what converted?

Demo data

07Start

Track Reddit signals,not just posts.

Sign in →See the product
01Community MonitorNew Posts actually collected from one community
02Listening TopicPosts about it anywhere on Reddit
03Post ListThe ones you picked, re-read on time
ForumCue
Sign in

Two starting points, one evidence layer

Start with a community or a question worth observing over time.

Both paths converge on the same Posts, Comments, listing history, and Data Freshness, so the evidence model stays consistent regardless of where research begins.

Subreddit monitoring

Understand what a community repeatedly recognizes

Follow selected communities to see which topics keep returning and how discussions evolve.

  • Which topics keep returning?
  • How does popular content differ from ordinary Posts?
Keyword monitoring

Track where a question appears and how it develops

Track product names, competitors, or customer language across communities and watch how the discussion develops.

  • Does this pain keep appearing?
  • Which communities and contexts drive the discussion?

Static results lose time

Finding a Post is only the beginning of its story.

A static result answers what appeared. Continuous snapshots also reveal whether it rose, how long it stayed visible, and whether the discussion kept growing.

A new matchThe same Post's later listing positions

Current ScoreHow Score and Comments changed

A one-off summaryEvidence traceable to source and time

  1. 01

    First seen

    ForumCue first sees the Post in a selected listing.

  2. 02

    Momentum forms

    Later snapshots record listing position and engagement changes.

  3. 03

    The community responds

    Observation continues as the Post enters and persists in high-attention areas.

  4. 04

    Momentum fades

    Observed history remains available where collection coverage permits.

Evidence before conclusions

Break “this is popular” into evidence you can trace.

Every important judgment should lead back to the original Post, discussion context, listing position, and capture time—not stop at a summary detached from source.

01

Posts

Title, body, author, community, and source link.

02

Comments

Available discussion context and reply relationships.

03

Listing history

Listing, rank, first and last seen time, and persistence.

04

Data Freshness

When data was updated and the time range behind a judgment.

From monitoring to verification

From monitoring to conclusion, the evidence chain stays intact.

ForumCue turns collection, comparison, and verification into a research path you can run repeatedly.

  1. 01

    Define scope

    Select a subreddit or create a keyword monitor.

  2. 02

    Preserve source

    Build the initial Post and Comment evidence set.

  3. 03

    Record change

    Record available listing and Post observations on a platform-set cadence.

  4. 04

    Analyze signals

    Search, compare, and form judgments with people or AI.

  5. 05

    Verify conclusions

    Return to source and time snapshots to verify important conclusions.

Evidence first. Then conclusions.

  • ForumCue works with publicly readable Reddit content.
  • Data updates continuously, without a promise of millisecond real-time or absolute coverage.
  • Source links, capture time, and Data Freshness remain visible.
  • Project Analysis uses statistics and rules; important judgments still require review.
  • ForumCue is independent from and not endorsed by Reddit.

Same evidence, different interface

Give AI a continuously updated memory of Reddit.

Read evidence in ForumCue. Authenticated MCP tools can make relevant source data available to compatible AI clients after setup is confirmed.

  • People and AI read the same source evidence.
  • Conclusions can point back to Posts, Comments, and time snapshots.
  • Access remains scoped by user permissions.
Ask about MCP access

Start with a research question

Choose a question that genuinely needs an answer.

Begin with a research task that genuinely needs evidence.

Product and user research

Find persistent problems

Which problems keep returning, and what do Comments reveal about their real context?

Market and competitor research

Separate signal from noise

Is a discussion continuing to grow, or did it only appear once?

Community and content strategy

Understand community recognition

Which content does a community keep responding to, and what quickly loses momentum?

AI and Agent research

Give AI traceable Reddit evidence

How can AI use continuously updated Reddit evidence that remains traceable to source?

Start with a community, topic, or Post you need to understand.

Follow public communities, rule-matched topics, and selected Posts with source links and observed history your team can inspect.

Reddit monitoring and research for teams: Community Monitors, Listening Topics, Post Lists, Projects, and source-based Analysis.

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