Taploop

AI social listening for SaaS founders

Your company gets mentioned. Know what to do next.

Taploop helps gather relevant public mentions of your product, identify recurring questions and problems, and suggest where your team should focus—with links to the original conversations.

Assisted setup and review. We agree the available sources, scope and price before work begins.

See an example
A founder follows a chartreuse thread through scattered conversation cards to a small, considered shortlist.
Relevant mentions. Clear context. Suggested next steps.
Gather product mentionsUnderstand what mattersReview the next step

Episode 01 Product demo · 3:57

See which conversations deserve your attention.

Watch an AI agent use Taploop to gather public Porsche mentions, understand the context, and build a shortlist with source links. Then see how those findings help a team choose its next step.

Reading every mention takes time. Making sense of it takes more.

A question here.
A complaint there.
What needs attention?

Someone asks what your product can do. Someone else reports a problem. Another customer shares what they love. The comments are scattered across public posts and threads.

Taploop helps gather the relevant mentions, identify recurring themes, and explain what may need a response, an investigation, or a closer look from your team.

For SaaS founders and teams reviewing product mentions by hand.

See what a mention review can look like

From a mention
to a clear next step.

See how Taploop helps your team understand a conversation, assess why it matters and decide what to do.

A founder reviews fictional questions, complaints and praise about Acme. Taploop gathers relevant mentions, explains what matters and suggests a next step with source links.

01 / 06

Your product is part of the conversation

A question about exports. A report that something is failing. Praise for a useful feature. Taploop helps bring relevant public mentions together so your team can see what needs attention.

The Acme comments shown here are fictional examples.

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A Taploop funnel connects scattered public product mentions to relevant findings and a suggested next step for a SaaS team to review.

02 / 06

Focus on mentions that relate to your product

Start with your company and product names, the questions you want answered, and the time period that matters. Taploop reviews the available mentions against that context and explains which findings are relevant.

We agree the sources, scope and price before work begins.

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Give Taploop a goal. It finds the context. Three illustrated steps: find recent public conversations on Reddit, LinkedIn, and X; extract and analyze source, date, and context; review relevant conversations, why they matter, and suggested next steps. You choose where to respond.

03 / 06

See the context behind each finding

Taploop’s AI agent gathers conversation details from supported public sources and analyzes how they relate to your product. Each finding includes its source, an explanation and a proposed next step.

Source availability, coverage and freshness are confirmed for your brief. Setup and review are assisted.

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Three fictional Acme mentions feed a Taploop review with source links, a theme, a priority, a suggested next step, and a suggested owner.

04 / 06

Different mentions call for different next steps

“Acme exports keep failing.” Suggested next step for support: ask for error details and investigate.

“Does Acme include exports?” Suggested next step for marketing: review whether export availability is explained clearly.

“Love Acme’s weekly summaries.” Suggested next step for product: record what users value.

Fictional examples. Your team reviews the context and decides how to act.

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A mention needs context. A fictional Acme report says exports keep failing. Taploop extracts the source, date, and original thread, identifies the exports problem, flags the unknown error, setup, and impact, and suggests opening the source and asking for details.

05 / 06

Know what the mention leaves unanswered

A report that exports failed does not tell you the cause. In the fictional Acme example, Taploop highlights what still needs checking: the error, setup and impact. The source link lets your team open the original thread before deciding how to respond.

A suggested next step is a starting point for review.

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Taploop proposes. You decide. An AI agent presents relevant conversations, reasons to look, and suggested next steps. Three choices follow: respond where your product can help, investigate the source, or refine topics, sources, and the time window.

06 / 06

Taploop proposes. You decide.

Review the relevant mentions, why they matter and the suggested next steps. Your team chooses whether to respond, investigate a problem, improve an explanation, or refine what to research next.

Assisted setup and review. Your team controls the next step.

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How a mention review works

Your product.
Your mentions.
A clearer next step.

Tell us what you need to understand. We agree the scope, then use Taploop to gather and analyze the accessible mentions.

01 / Set the scope

Tell us about your product.

Share your company and product names, the questions you want answered, and the time window. We confirm which public sources are available.

02 / Gather and analyze

See what people are saying.

Taploop gathers relevant mentions, checks their connection to your product, and identifies recurring questions, problems and praise.

03 / Review the findings

Decide what needs attention.

Get findings with source links, an explanation of why they matter, and suggested next steps for your team to review.

A reviewing hand checks an original product mention before including it in a review.

Assisted setup and review

Findings you can
check for yourself.

Each finding includes its source, an explanation and a proposed next step. Your team reviews the context and decides how to act.

We confirm which Reddit, LinkedIn or other public sources are accessible for your brief, including coverage and freshness limits. You know the scope, timing and price before work begins.

Request a review for my company

Start with your company

What are people saying
about your product?

Tell us what you want to understand. We’ll review your request and follow up by email to agree the sources, scope, timing and price.

This is an inquiry for an assisted review. We confirm the work with you before it begins.

“Gather the mentions of our product. Explain what needs attention and suggest what our team should do next.”

Request a mention review

Share your product and what you need to understand.

A little context optional

No account. No payment details. No commitment.

Before you start

A few good questions.

Who is this for?

SaaS founders and their teams who already have public product mentions to review. It is especially relevant when questions, complaints and praise are scattered across sources and someone has to decide what needs attention.

Which sources can you review?

We confirm the accessible Reddit, LinkedIn or other public sources for your brief before starting. Access, search visibility and freshness vary. The review covers an agreed scope and time window; it does not include every mention or private and inaccessible discussions.

What does Taploop’s AI agent do?

It gathers conversation details from supported public sources, analyzes their relevance to your product, and identifies themes and suggested next steps. The service includes assisted setup and human review, with links back to the original conversations.

How much does it cost?

We agree a price based on the scope, sources and delivery frequency before work begins. Requesting a mention review does not create a paid order.

Will Taploop reply or post for me?

This offer delivers findings with source links, explanations and suggested next steps. Your team decides whether and how to respond. Posting and outreach are not included.