Overview
- Get a weekly AI narrative report with citations to real messages, so your team can act on verified community sentiment across 12 platforms.
- Distinguish product-driven dips from market-driven ones by benchmarking a composite sentiment index against the Fear & Greed index and market data.
- Eliminate noise with dual sentiment and relevance scoring, so off-topic mentions and ticker collisions never skew your community insights.
- Refine scoring automatically by correcting a single message, as Vibewatch derives a rule from your correction instead of patching one data point.
- Focus your team on replies that matter with an engage queue that triages replyability, never auto-replying on your behalf.
- Monitor governance in real time with Snapshot and ballot.gg vote movement alerts within 24 hours, keeping you ahead of proposal trends.
- Save quota by excluding duplicates, retweets, and noise, so you only pay for signal-rich community intelligence.
- Deliver approved reports to email, Slack, or Notion after your community manager previews, ensuring nothing unvetted reaches your team.
- Query your own community data with Claude, ChatGPT, or any MCP client for ad-hoc analysis and custom summaries on demand.
- Incorporate media context in sentiment scoring, as GIFs and stickers are evaluated to capture the full nuance of community reactions.
- Track token and stock prices alongside sentiment, giving you a complete market context in every weekly report.
Pros & Cons
Pros
- Web3 community intelligence
- Captures sentiment across platforms
- Discord, Telegram integrations
- Comprehensive platform view
- Trends identification and ranking
- Composite sentiment score
- Understanding message context
- Weekly reports generation
- Community sentiments insights
- Token and market contexts
- Actionable intelligence provision
- Easy reports accessibility
- Reports via email, Slack, Notion
- Market context provision
- Asset prices insight
- Fear and greed index
- Week-over-week trends insights
- Product-driven versus market-driven vibes differentiation
- Customization features
- Integration with other tools
- Workflow enhancement ability
- Ad-hoc questioning feature
- Social media analytics
- Token analysis features
- Big data handling
- Lasting reports
- Email alerts
- Community engagement monitoring
- Community monitoring
- Sentiment analysis abilities
- Community sentiment visualization
- Audience-tagged context
- Supporting mentions identification
- MCP access inclusion
- Data importation abilities
- Market sentiment index
- Built-in market context
- Reports tailored for teams
- Delivery to various channels
- Hourly insights provision
- All-team accessibility
- Visitor sentiment tracking
- Platform-specific analysis
- Founder-focused features
- Public companies applicability
- Privacy policy
- Legal terms clarity
Cons
- Limited to web3 communities
- No real-time data
- No cross-platform trending
- No sentiment drill down
- Limited social media integration
- Weak data visualization
- Misses non-textual context
- No user behavior analysis
- Limited integration options
- Reports only weekly
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❓ Frequently Asked Questions
Vibewatch is an AI-driven tool specifically tailored for web3 teams that offers community intelligence. Its functions span capturing sentiments across multiple platforms, identifying, analyzing, and ranking community trends, and providing an encompassing sentiment score. It also generates weekly reports with community sentiments, token, and market contexts, presenting actionable intelligence to end-users. Further features include market context provision, ad-hoc questioning, customization, and tool integratability.
Vibewatch monitors community sentiment across various platforms such as Discord, Telegram, X, and other mediums where a community might exist.
Vibewatch analyzes and ranks trends within a community by listening and collecting conversations from the community's home platforms. Using its built-in AI, it identifies, analyzes, and ranks the sentiment trends, providing a composite sentiment score and the context necessary to understand the dynamics involved.
A composite sentiment score is a distilled representation of thousands of messages into a single number. Vibewatch generates this by listening and collecting conversations from various platforms, analyzing and ranking the trends within a community. The score sums up the general mood and comes along with the context to decipher the factors driving it.
Vibewatch provides weekly reports based on community sentiments, token and market contexts to the end-users. These reports are designed to be accessible to the entire team, with insights on their community sentiment, token analysis, and market trends.
Yes, Vibewatch reports can be received via email, aimed at keeping the entire team updated on the community's sentiment and trends.
Yes, Vibewatch can integrate with Slack and Notion. This feature enables the delivery of reports directly to these platforms, thus ensuring seamless information sharing among team members.
Vibewatch integrates market context into its monitoring by providing asset prices, a fear and greed index, and week-over-week trends along with community sentiment. This context lets you know whether the prevailing vibe is driven by the product or by the market.
Vibewatch distinguishes between product-driven and market-driven vibes by providing a market context which includes asset prices, a fear and greed index, and week-over-week trends, alongside the community sentiment. This holistic view allows Vibewatch to differentiate whether the sentiment is influenced by the product's performance or broader market conditions.
Vibewatch offers customization options that enhance current workflows. These include ad-hoc questioning and integration abilities with other tools, allowing for a more tailored and efficient experience.
Yes, Vibewatch can integrate with other AI tools. This ability to connect with other tools, such as Claude or ChatGPT, allows for an enriched workflow and utility.
Yes, there is a free 7-day trial available for Vibewatch. During this trial, users can explore all features of the tool.
Yes, Vibewatch incorporates the feature of token analysis in its weekly reports. This includes community sentiments related to the token and its broader market context, providing an informed overview for effective decision-making.
Web3 teams refer to organisations or communities comprised of people working on web3, blockchain, crypto, and decentralized communities. Vibewatch is tailored to cater to such teams by offering community intelligence. This includes monitoring sentiments across multiple platforms, analyzing and ranking these sentiments, providing a composite sentiment score, and forming weekly reports carrying meaningful insights.
Vibewatch tracks and presents the fear and greed index as a part of its market context feature. This index is an analysis of emotions and sentiments from various sources, presented alongside other market features such as asset prices and week-over-week trends, allowing an understanding of the market-driven community sentiments.
You can start using Vibewatch by starting a free trial on their website. Once you're satisfied with the tool's capabilities and usefulness, you can opt for a subscription to continue.
The specific pricing options for Vibewatch are not explicitly listed on their website. Users are advised to view the pricing section on the site for detailed information.
The specifics of how Vibewatch's ad-hoc questioning works are not explicitly detailed on their website. However, the feature is listed as a part of Vibewatch's offerings, allowing users to ask impromptu questions or pull custom summaries, ensuring flexibility in usage.
Vibewatch provides actionable intelligence in the form of community sentiments, token analyses, and market context. These insights are delivered via weekly reports which can be accessed by the entire team. The intelligence is aimed at offering a comprehensive overview of the community's state, aiding in timely decision-making.
According to the information from their website, Vibewatch does provide hourly insights as part of its robust reporting capabilities. This ensures that users have real-time information about community sentiment and market context at their fingertips.
Pricing
Pricing model
Free Trial
Paid options from
$19/month
Billing frequency
Monthly
Refund policy
No Refunds
