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See where people go when they leave.

Name a product. See where people go when they leave it — ranked, cited, week by week.

Try

Example

People leaving Postmark go to…

84 threads asking for an alternative
last 90 days

  1. Who said they switched

    • r/webdev“Postmark pricing changed, moved to Resend. Setup took an afternoon.”
    • Hacker News“Left Postmark for Resend + React Email. No regrets.”

Threads per week

Up 2.6× since the pricing change

Sample data for now. Connect your agent for live answers.

Without it

The manual way.

  • A vague sense that "people are leaving" from three threads you happened to see.
  • No idea what they leave for, or whether it is a trickle or a wave.
  • A competitor tweets a churn chart you cannot check or reproduce.
With Switching Map

One question.

  • Name the product. Reddibee finds every alternative-seeking thread and reads the comments for what they switch to.
  • A ranked bar chart of destinations, each number linked to the thread that named it.
  • A weekly trend, so a pricing change or an outage shows up as a spike you can point to.
How it works

A product name in. Where they switch out.

Three steps, one request. You never call the tool by name — your agent does.

  1. 1

    Find the leavers

    Every source is searched for threads where someone asks for an alternative to the product you named.

  2. 2

    Read the comments

    The alternatives named in the replies are extracted and counted, so the destinations come from what people actually recommend.

  3. 3

    Trend it

    The switches are bucketed by week, so a pricing change or an outage shows up as a spike rather than a vibe.

In your agent

Same tool, one prompt away.

Switching Map runs inside Claude Code and any MCP client. Ask in plain words; your agent calls product_pulse and comes back with cited sources.

Get a free API key

10 requests a day, free. No card.

Claude Code reddibee · connected
You

When people leave Postmark, what do they switch to? Rank the alternatives with sources.

  1. product_mentions"Postmark", alternative-seeking 84 threads
  2. get_threadalternatives named in comments ranked
  3. community_pulsetrend over 8 weeks weekly
Agent, via Reddibee
  • r/webdev Postmark pricing changed — moving to Resend, setup took an afternoon.switch → Resend · permalink
  • r/SaaS Anyone off Postmark? Looking at SES but the deliverability scares me.asks for alternative · permalink
  • Hacker News Left Postmark for Resend + React Email. No regrets.switch → Resend · permalink

Read-only. Sources cited. Nothing posted.

Reading the answer

What comes back, and how to read it.

You ask
“When people leave Postmark, what do they switch to? Rank the alternatives with sources.”
You get
Of 84 alternative-seeking threads in 90 days, Resend is named in 38, Amazon SES in 21, SendGrid in 12, Loops in 7. The switch to Resend accelerated after the July pricing change. Every count links to the comment that made the claim.

Destinations come from comments

The ask names the pain; the replies name the alternative. We rank by what commenters recommend, not by what the original poster guessed.

Watch the slope, not the total

A destination that doubled week over week matters more than one with a bigger all-time count. The trend is where the story is.

Every bar is a permalink

Each count links back to the thread that made the claim. When a competitor disputes it, you have the receipts.

Where it falls short

Honest limits.

  • Product extraction from comments is improving but imperfect. Common-word product names produce false positives the classifier trims but does not eliminate.
  • This maps public switching intent, not confirmed churn. A thread saying "I’m moving to X" is intent, not a cancelled invoice.
  • A destination with very few mentions is a rumour, not a trend. Weight the ranked leaders and treat the long tail as noise.
Questions

Asked before the first run.

Is this about my competitors or me?

Either. Point it at a competitor to see where their unhappy users go, or at your own product to catch a leak before the churn report does.

Where do the alternatives come from?

From the comments on alternative-seeking threads. Someone asks "what should I switch to?" and the replies name the options — those are what we count and rank.

Can I see when a switch accelerated?

Yes. The map buckets switches by week, so a pricing change or an outage shows up as a clear spike you can tie to a date.

More free tools

Four more questions, answered.

All tools

Try Switching Map now.

Back to the toolGet an API key

Free in the browser. 10 agent requests a day, no card.