TrendRadar

TrendRadar

开源AI舆情监控与热点筛选工具,聚合多平台+智能推送

39/100At RiskFreeFree

TrendRadar 是开源舆情监控领域的务实之选,多平台聚合和 AI 分析能力扎实。适合愿意投入时间部署的独立用户和小团队,但非中文场景和实时性要求高的场景需谨慎评估。替代品如慧科、清博提供托管服务但费用高昂,而 TrendRadar 完全免费且数据自控。

Verified 4d ago · liveness 39/100 · cite: rightaichoice.com/tools/trendradar

Best for
  • 舆情监测者:实时跟踪中文网络热点和行业动态
  • 市场研究人员:AI 情感分析和趋势预测辅助决策
  • 内容创作者:聚合多平台热点寻找选题灵感
  • 信息过载用户:AI 筛选只推送真正关心的内容
Not ideal for
  • 缺乏 Docker 或自托管经验的用户(部署有一定门槛)
  • 需要极低延迟实时推送的场景(系统按调度间隔采集)
  • 非中文内容为主的使用者(平台源以中文为主)
Visit Website

Intermediate对于熟悉 Docker 的用户,约 30 分钟完成部署和基本配置。如果你是命令行新手,可能需要半天时间来理解 YAML 配置和调度器。使用 GitHub Actions 可减少本地依赖,但需要一些 CI/CD 知识。WebNo public APIVerified 4d ago
Pricing
Free
FreeFree tier4 hidden costs
Learning curve
Intermediate
对于熟悉 Docker 的用户,约 30 分钟完成部署和基本配置。如果你是命令行新手,可能需要半天时间来理解 YAML 配置和调度器。使用 GitHub Actions 可减少本地依赖,但需要一些 CI/CD 知识。
Runs on
Web
No public API · 1 integrations
Who it's for
独立开发者市场研究员内容创作者
Live sentiment
Is TrendRadar actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip TrendRadar 如果你需要开箱即用的托管服务、实时秒级推送,或主要监控非中文内容——它需要自托管且以中文源为主。

The 30-second take
Biggest gripe

部署成本可能包括服务器的持续运行费用,如果你使用云服务器或 Docker 托管,需自行承担基础设施开销。

Price reality

TrendRadar 完全免费且开源,适合预算为零的个人开发者和小团队。相比慧科、清博等商业产品动辄年费数万,你只需承担服务器和 AI API 成本,总拥有成本大幅降低。

In short

TrendRadar — 开源AI舆情监控与热点筛选工具,聚合多平台+智能推送. Best for 舆情监测者:实时跟踪中文网络热点和行业动态, 市场研究人员:AI 情感分析和趋势预测辅助决策, 内容创作者:聚合多平台热点寻找选题灵感. Free to use.

What people actually say about TrendRadar — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

1 mentions across 1 source (Hacker News) · researched Jul 3, 2026.

60% positive40% critical
Recurring strengths
  • +Auto-finds trending X posts within topics you care about.
  • +Writes comments in your voice with chosen tone and sentiment.
  • +Solo indie hacker building in public—transparent development.
  • +Freemium pricing lowers entry barrier for beginners.
  • +Supports Docker deployment for data self-hosting.
Recurring frustrations
  • No independent user feedback on accuracy or quality.
  • Auto-commenting may feel spammy and harm authenticity.
  • X API changes could break core functionality.
  • Single Hacker News post suggests very early stage.
  • Scope described in HN (X auto-commenter) is narrower than tagline.
Patterns worth knowing
Novel auto-commenting feature for X growth
Seen on Hacker News
Solo indie hacker transparency and early-stage risk
Seen on Hacker News
Learning curve
beginnerProductive in ~10 minutes

Viability Score

39/100
At Risk

How well maintained and how widely used is TrendRadar? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
20
Site health
95
User sentiment
60
What the vendor publishes
0

Last calculated: August 2026

How we score →

Key Features

  • 多平台热点聚合(知乎、抖音、bilibili、微博、百度等)
  • RSS/Atom 订阅源采集与推送
  • 关键词精准筛选(+required、!excluded、/regex/、@count)
  • AI 自然语言兴趣描述筛选与评分
  • AI 深层情感分析与跨平台连接洞察
  • AI 多语言翻译(批量处理节省 token)
  • 趋势跟踪:排名变化监测、自动检测上升/下降趋势
  • MCP 聊天分析服务(21+ 分析工具,自然语言查询)
  • 3 种推送模式:日报摘要 / 实时排名 / 增量监控
  • 9 个推送渠道:企业微信、个人微信、飞书、钉钉、Telegram、邮件、ntfy、Bark、Slack、通用 Webhook
  • 增强 HTML 报告(暗黑模式、搜索、快捷键、宽屏支持)
  • 统一调度器(timeline.yaml 按时间段编排采集/分析/推送)
  • 可视化配置编辑器(Web 界面在线编辑)
  • 多种部署方式:Docker、GitHub Actions、本地 uv
  • 灵活存储:SQLite + S3 兼容云存储

About TrendRadar

FreeIntermediateNo APIWeb

TrendRadar 是一款开源、AI驱动的舆情监控与趋势分析工具,专为解决信息过载而设计。它聚合知乎、抖音、bilibili、微博、百度等数十个主流平台的热点话题,同时支持 RSS/Atom 订阅源,将多源信息汇聚到统一工作流。用户可通过高级关键词语法(+required、!excluded、/regex/、@count)精准筛选内容,或直接用自然语言描述兴趣,由 AI 自动分类、评分,只推送真正关心的动态。\n\n在分析层面,TrendRadar 提供 AI 情感分析、跨平台连接洞察以及多语言翻译(批量处理以节省 token)。它通过 LiteLLM 统一接口支持超过 100 种 AI 模型(包括 DeepSeek、OpenAI、Gemini、Ollama),用户可自由切换。系统包含三大推送模式:日报摘要、实时排名和增量监控,并可配置 9 个推送渠道,如微信(企业微信/个人微信)、飞书、钉钉、Telegram、邮件、ntfy、Bark、Slack 及通用 Webhook。\n\n部署方式灵活:可通过 Docker 一键启动、使用 GitHub Actions 无服务器运行,或通过 uv 本地运行。数据存储支持 SQLite 和 S3 兼容云存储。系统架构包含 NewsNow API 实时采集、RSS 采集、AI 分析、MCP 聊天分析服务(21+ 分析工具,自然语言交互)以及统一调度器(timeline.yaml 按时间段编排任务)。其可视化配置编辑器降低了上手门槛,无需手写 YAML。\n\n与传统商业舆情工具(如慧科、清博)相比,TrendRadar 完全开源且免费,用户可完全掌控数据和配置。但部署需要一定的自托管经验,中文内容为主,适合个人开发者、小团队或预算有限的舆情监测者,不适合需要极低延迟推送或非中文内容的用户。

Behind the Verdict

TrendRadar 的核心价值在于它的开源性和自由度。你完全掌控数据,可以自定义采集源、AI 模型和推送渠道,不会像商业 SaaS 那样被锁定。它聚合了知乎、抖音、bilibili、微博、百度等主流中文平台,辅以 RSS/Atom,覆盖面广,特别适合中文舆情监测。\n\n其 AI 能力通过 LiteLLM 整合了 100+ 模型,你可以选择 DeepSeek、OpenAI 或本地 Ollama,灵活且成本可控。情感分析、跨平台连接洞察、多语言翻译都是实用功能,批量翻译节省 token 的设计很贴心。MCP 聊天分析服务让你能用自然语言查询数据,降低了分析门槛。\n\n不过,它并非没有短板。首先,部署需要 Docker 或命令行基础,非技术用户可能觉得麻烦。其次,调度间隔采集意味着推送不是实时,对需要秒级预警的场景不适用。再者,虽然支持多语言翻译,但源平台以中文为主,英文内容覆盖有限。最后,当前没有明确的活跃维护信号,社区更新可能不频繁,遇到问题可能需要自己解决。\n\n适合你的地方:你是独立开发者、小团队,或预算有限但需要自主可控的舆情监控。不适合的地方:你希望开箱即用的托管服务、需要实时推送、或者主要关注非中文内容。

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Real-world workflow fit

Concrete scenarios for the personas TrendRadar actually fits — and what changes day-one when you adopt it.

独立开发者

想监控技术热点,跟踪 GitHub 趋势和开发者社区动态。

Outcome: 用 Docker 快速部署 TrendRadar,配置 RSS 订阅和关键词筛选,通过 Telegram 接收每日摘要,自动发现新兴技术话题。

市场研究员

需要追踪某品牌在微博和抖音上的口碑变化。

Outcome: 设置关键词和 AI 情感分析,生成每日舆情报告,通过邮件推送给团队,及时识别负面趋势。

内容创作者

寻找当下的热门话题作为视频或文章选题。

Outcome: 聚合抖音、B站热点,AI 评分排序,通过企业微信推送热门榜单,快速发现潜在爆款主题。

Use Cases

  • 监控抖音、微博、B站等平台热点趋势,快速发现热门话题
  • 自动生成每日行业舆情简报,通过微信或邮件推送
  • 通过关键词追踪产品口碑变化,分析用户情感
  • 多语言新闻实时翻译与摘要,辅助全球化调研
  • 集成飞书/钉钉接收重要预警,及时应对舆情危机

Models Under the Hood

DeepSeekOpenAIGeminiOllama

as of 2026-08-21

Limitations

自托管需要 Docker 基础,对非技术用户有门槛;中文源为主,多语言支持有限;调度间隔采集导致推送延迟,不适合实时场景;近期无活跃更新或社区维护信号。

as of 2026-08-13

Verification history

We have re-verified TrendRadar 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. re-checked, vendor evidence unchanged
  2. re-checked, vendor evidence unchanged
  3. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. re-checked, vendor evidence unchanged

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • 部署成本可能包括服务器的持续运行费用,如果你使用云服务器或 Docker 托管,需自行承担基础设施开销。
  • AI 分析需要调用外部模型 API(如 OpenAI、DeepSeek),这些会产生 token 费用,量大时成本可观。
  • 虽然软件免费,但如果你使用 S3 兼容云存储,需支付存储和流量费用。
  • 缺乏官方支持,遇到问题需要自己排查,时间成本可能高。

Where the pricing makes sense

The company stage and team size where TrendRadar's pricing actually pencils out — and where peers do it cheaper.

TrendRadar 完全免费且开源,适合预算为零的个人开发者和小团队。相比慧科、清博等商业产品动辄年费数万,你只需承担服务器和 AI API 成本,总拥有成本大幅降低。

Setup time & first value

How long it actually takes to get something useful out of TrendRadar — broken out by persona, not the marketing-page minute.

对于熟悉 Docker 的用户,约 30 分钟完成部署和基本配置。如果你是命令行新手,可能需要半天时间来理解 YAML 配置和调度器。使用 GitHub Actions 可减少本地依赖,但需要一些 CI/CD 知识。

Switching to or from TrendRadar

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • 从商业舆情工具(如慧科、清博)迁移:导出历史报告和关键词配置,在 TrendRadar 中重新创建关键词和推送渠道,逐步替代。
Migrating out
  • 到托管服务(如 Brandwatch):导出 TrendRadar 收集的数据(SQLite 或 S3),导入到商业平台,但需注意格式兼容性。

Integrations

Webhook

Resources & Guides

Tutorials & Learning

Official links

Tools that pair well with TrendRadar

Common stack mates teams adopt alongside TrendRadar, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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