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Vee is an AI-powered phone calling tool that automates outbound voice conversations for businesses and sales teams.

Primary category: software
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 June 22, 2026

Overall Pulse Score

44
Pulse Score

-4 over this period

A 0-100 index summarizing the tone of 13 relevant public mentions gathered from public online communities across 2 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.

This week in public discussion

Discussion around vee over the recent period leaned negative, with bug reports making up the bulk of mentions. Commenters flagged several false positives in linting and validation rules, and one thread noted numeric input fields accepting unexpected characters despite validation being active. Praise was limited, with only a handful of mentions touching on integration and ease of use. The overall tone suggests frustration outweighed satisfaction among those discussing the tool.

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.

PositiveMixedNeutralNegative

Most-discussed praise

Strong features1
Good integrations1
Easy to use1

Most-discussed complaints

Bugs6
Easy to use1
Feature requests1
UI frustrations1
Missing features1

Themes across the selected period, with mention counts.

Sample public mentions

Showing 5 of 13 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.

vee-validation for LDAP providers: numeric input validation enhancements. **Is your feature request related to a problem? Please describe.** Label Inputs with focus edit (numeric fields) accept e, - and + characters. The vee-validation keeps displaying the message "Field-name is ...

githubJun 18, 2026

[求職] 高雄 /現場、遠端、混合型/ | 具 Vue 3 & Angular 19 雙框架實作經驗的前端工程師 - 林家齊 (AtayalLin). 📌 關於我 (About Me) 您好,我是林家齊!我擅長敏捷的網頁前端開發與跨元件狀態管理。雖然非本科系出身,但憑藉對網頁開發的轉職強烈熱情,我透過系統性自學與 **840 小時的 Java 全端整合實務養成班** 鍛鍊出扎實的技術底子。 我具備獨立交付 RWD 響應式網頁、主導團隊前端架構規劃、以及前後端 API 串接(Spring Boot + MySQL)的能力。在過去的行政經歷中,我培養了極佳...

githubJun 18, 2026

fix(vue-valid-v-on): false positive on object syntax v-on="obj" (flagged as missing event name). ## What happened Running comply on **logaretm/vee-validate** @ 7d8cc52: vue-valid-v-on flags a valid **object-syntax** v-on binding: - docs/src/components/examples/CustomInputFieldEag...

githubJun 16, 2026

fix(use-vue-hyphenated-attributes): false positive on slot prop bindings ( ). ## What happened Running comply on **logaretm/vee-validate** @ 7d8cc52: use-vue-hyphenated-attributes fires on a **slot prop binding**: - docs/src/components/FloatingMenu.vue:2:47 — Attribute isOpen sho...

githubJun 16, 2026

fix(regex-no-duplicate-chars): false positive on non-ASCII char classes (byte-wise dedup mistakes distinct multi-byte chars for duplicates). ## What happened Running comply on **logaretm/vee-validate** @ 7d8cc52: regex-no-duplicate-chars fires **85 times** — every regex character...

githubJun 16, 2026

Deeper analysis

  • Bug reports and false-positive complaints dominated discussion by a wide margin over the four-week period.
  • Sentiment trended downward week over week, with the second tracked period showing a more complaint-heavy tone than the first.
  • Opinion on ease of use was divided, appearing as both a praise theme and a complaint theme across different mentions.
  • Whether to adopt vee-validate as a standard or stick with custom approaches was an unresolved and contested question in the discussion.
Praise themeMentions
Strong features1
Good integrations1
Easy to use1
Complaint themeMentions
Bugs6
Easy to use1
Feature requests1
UI frustrations1
Missing features1

Discussion around vee over the four-week window was dominated by a persistent undercurrent of frustration, with bug reports accounting for the clear majority of mentions. Commenters raised several false-positive issues tied to linting and validation rules, with one thread alone describing a rule firing 85 times on legitimate patterns. This volume of reported misfires gave much of the conversation a tone of exasperation rather than casual nitpicking, suggesting the problems felt disruptive to real workflows rather than minor edge cases.

Sentiment moved in a downward direction across the two tracked weeks. The earlier period carried a somewhat more neutral register, with discussion spread across both evaluative and technical threads. By the second week, the balance shifted further toward complaints, and the score reflected that slide. The drop was not dramatic in absolute terms, but the directional consistency across both periods left little ambiguity about the mood trend.

A recurring thread in the discussion involved the question of whether to adopt vee-validate alongside schema libraries or continue with hand-rolled validation, and several mentions framed this as an open architectural decision rather than a settled preference. This gave some of the conversation a genuinely divided quality, with commenters weighing integration patterns and long-term maintenance rather than simply praising or criticizing the tool outright.

Praise themes were present but thin. A small number of mentions touched on integration quality and ease of use in positive terms, and one commenter appeared to cite feature strengths. However, ease of use also appeared on the complaint side, pointing to split opinion on that dimension specifically. The overall register of the window was cautious and problem-focused, with enthusiasm appearing only at the margins.

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)
13
Mentions in selected period
13
Weeks in range
2
Pricing
Paid plans available
Sources
GitHub (13)

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