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Front

Front is a shared inbox and customer communication platform designed for teams managing email, SMS, and other messaging channels.

Primary category: Communication
About this data
This page reflects public online discussion, collected and scored by automated systems and summarized using AI. It is not a statement of fact, not an audit, and not our own opinion of the product. Automated analysis can be incomplete or wrong, and scores carry the limitations described in our methodology. Companies can respond with their own perspective. See how this is calculated.

Updated May 18, 2026

Overall Pulse Score

45
Pulse Score

No change over this period

A 0-100 index summarizing the tone of 5 relevant public mentions gathered from public online communities across 3 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.

Weekly Sentiment Trend

Pulse Score by week over the selected period. Each point is one complete week of mentions.

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This week in public discussion

Recent discussion around Front was sparse but leaned negative over the past several weeks. Commenters flagged a reliability concern involving a spam filter rule that apparently misidentifies legitimate email domains due to a naive substring matching approach, with mentions pointing to specific hostnames being incorrectly caught. No praise themes surfaced during this period. The low volume of mentions makes it difficult to draw broad conclusions, but the tone among those who did comment trended toward frustration with bugs and dependability.

Read the deeper analysis

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Sentiment mix by week

How the tone of public discussion splits each week.

Most-discussed praise

No recurring praise themes in this period.

Most-discussed complaints

Bugs1
Reliability1

Themes across the selected period, with mention counts.

How Front compares

Pulse Score over the selected period versus the top tracked competitors in Communication.

Where the mentions come from

Share of the 5 relevant public mentions in the selected period, by source.

GitHub100% (5)

Sample public mentions

Showing 5 of 5 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

Spam rule url-shortener substring-matches "t.co" inside legit hostnames (wealthfront.com, marriott.com, att.com, scott.com, …). ## Summary src/server/lib/spam/rules.ts#containsUrlShortener uses naive substring match: "t.co" (Twitter shortener) is a substring of many legitimate ho...

GitHubMay 11, 2026

Liste des services payants (à changer d'attributaire). ## Outils payés par PathTech Autres ressources: - https://github.com/etalab/transport-site/issues/4246 - autre → doc Notion à retrouver (à vérifier avec Boris) | Outil | Usage | Facturation actuelle | Statut / Action | Notes ...

GitHubMay 6, 2026

feat(client,mcp): messages vertical — cross-conversation read + mark-seen. ## Summary Add a client.messages helper and MCP tools for operations on individual messages, outside the context of listing them on a conversation. Why Front has /messages/{id} endpoints for getting a sing...

GitHubApr 24, 2026

feat(mcp): reference resources — frontapp://tags, inboxes, teammates, conversations/recent. ## Summary Expose workspace reference data as read-only MCP **resources** (not tools). Resources let agents orient themselves without burning tool calls on slow-changing lookups like _"wha...

GitHubApr 24, 2026

feat(client,mcp): contacts vertical — list/get/create/update + handle lookups. ## Summary Add the **contacts vertical** following the conversations pattern that shipped in v0.1.0: Python domain model + helper facade + MCP tools. Why this next Common agent workflow: _"this custome...

GitHubApr 24, 2026

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Deeper analysis

  • Bugs and reliability concerns dominated the small volume of discussion, with no recorded praise themes to offset negative sentiment.
  • The score trajectory moved downward overall, with sharp dips in late November and again in the most recent week suggesting recurring frustration rather than a resolved issue.
  • Opinion was not meaningfully divided because critical voices went unanswered, leaving the tone one-sided toward dissatisfaction.
  • Very low mention volume means sentiment readings were highly sensitive to individual posts, so the swings in trajectory reflect thin but consistently negative signal.
Complaint themeMentions
Bugs1
Reliability1

Public discussion around Front over the observed multi-week window was sparse, totaling only six mentions, which limits the breadth of conclusions but still reveals a tone that leaned notably negative. The dominant mood across commenters centered on functional reliability concerns rather than any enthusiasm for the product, and the absence of recorded praise themes underscores how little positive sentiment surfaced in this period.

The score trajectory tells a story of instability rather than steady decline. After opening at a middling level in mid-November 2025, discussion dropped sharply in late November, partially recovered across several data points through early spring 2026, then fell again significantly in the most recent week of observation. This oscillating pattern suggests that whatever goodwill briefly returned was fragile, and the latest dip leaves the overall trend pointing downward compared to where it started.

The sample mentions that surfaced pointed toward technical frustration. One commenter described a specific bug involving naive string-matching logic in spam filtering rules, where legitimate domain names were being incorrectly caught by a rule targeting a URL shortener. The tone was methodical and critical, suggesting a technically engaged user who had dug into implementation details and found the behavior problematic. A second mention read more like an internal operational note referencing paid tooling and attributions, offering little direct sentiment but contributing to a picture of Front being discussed in administrative and infrastructure contexts rather than with enthusiasm.

Opinion was not visibly divided in the traditional sense, largely because praise was absent from the record. The conversation that did exist skewed toward bugs and reliability, with no counterbalancing voices defending the product experience. The low mention volume means each individual post had an outsized effect on scores, which may partly explain the sharp swings in the trajectory.

AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.

Member perspectives

Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.

Data summary

Total mentions analyzed (all time)
26
Mentions in selected period
5
Weeks in range
3
vs Communication average (38)
Above by 7
Pricing
Free tier; paid plans available
Sources
GitHub (5)

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Full comparison

Score-level preview from live weekly tracking.

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