Overview

Overview of various use cases for the TRAST platform, demonstrating how it can be applied in different Web3 scenarios.

TRAST is evolving beyond a simple rating tool into a comprehensive Web3-native social layer, rooted in Telegram's 1.2B+ user base. It serves as a hub where communities can collaborate rapidly, signal together, and amplify trust—all in real-time, topic by topic.

Why TRAST Is Transforming Web3

🔍 Centralized Intelligence Hub

TRAST eliminates the scattered nature of Web3 intelligence. Rather than spreading warnings across X (Twitter), Discord, and various Telegram groups, @TrastDotBot provides a unified platform where all alerts, ratings, and insights are immediately searchable, accessible, and actionable. This centralization creates a comprehensive knowledge base that benefits the entire ecosystem.

🛡️ Investor Protection Tool

In an ecosystem flooded with new tokens daily, TRAST serves as an investor's first line of defense. When facing the challenge of evaluating unfamiliar projects, especially on chains like XRPL where new tokens appear constantly, TRAST provides immediate access to community wisdom. This protection mechanism helps prevent scams and rug pulls by making suspicious patterns visible before users invest.

🤝 Community Connection Layer

TRAST breaks down the silos between Telegram communities. Groups can now interact, share insights, and collaborate without requiring members to join multiple channels. This cross-community connection happens seamlessly through the TRAST feed, allowing specialized knowledge to flow freely throughout the ecosystem without the friction of traditional group boundaries.

📱 Instant Verification System

Projects seeking credibility and users seeking verification now have a standardized, transparent process. TRAST provides an easy mechanism for projects to demonstrate their legitimacy and for users to quickly assess trustworthiness. This verification layer serves both sides of the market, creating a more efficient trust economy.

📈 Beyond Traditional Use Cases

TRAST's potential extends far beyond simple ratings. With Telegram's native capabilities, the system can evolve to include rich media sharing, direct responses, and complex discussion threads. The notification system alone creates possibilities for community coordination that haven't been fully explored, positioning TRAST as an innovation platform as much as a verification tool.

Quick sentiment collection

📊 One-click voting cards

• Easily create voting cards for your community

• Pin cards in Telegram groups

• Get instant feedback with single-tap voting

• Track sentiment trends in real-time

• Export results for analysis

Example setup

1. Create voting card:
   @TrastDotBot create_poll "project name"

2. Share in group:
   • Auto-formats for easy voting
   • Members vote with one tap
   • Results update live
   • Pin for ongoing feedback

Community use cases

🏢 For projects

• Gather quick feedback on new features

• Monitor community sentiment

• Track user satisfaction

• Collect feature requests

• Measure impact of updates

👥 For communities

• Rate new projects collectively

• Share group sentiment

• Build consensus

• Track member opinions

• Guide group decisions

🤝 For service providers

• Get client feedback

• Monitor satisfaction

• Track service quality

• Collect testimonials

• Build trust scores

👤 For individual users

• Share personal experiences

• Rate services used

• Contribute to community knowledge

• Build reputation

• Help others decide

Implementation examples

Project teams

1. Daily sentiment check
   • Morning community pulse
   • Feature feedback
   • Support satisfaction
   • Team performance
   • Overall sentiment

2. Update feedback
   • Pre-launch sentiment
   • Post-update reactions
   • Bug report tracking
   • Feature requests
   • User satisfaction

Community leaders

1. Group decision making
   • New project evaluation
   • Investment opportunities
   • Risk assessment
   • Strategy validation
   • Community direction

2. Member engagement
   • Active participation tracking
   • Quality contributions
   • Helpful members
   • Trust building
   • Community growth

Best practices

📌 For maximum engagement

1. Keep polls simple and clear

2. Pin important votes

3. Set appropriate duration

4. Share results regularly

5. Act on feedback

🎯 For quality data

1. Target specific aspects

2. Use consistent metrics

3. Track trends over time

4. Compare benchmarks

5. Analyze patterns

🤝 For community building

1. Acknowledge participation

2. Share insights

3. Implement feedback

4. Celebrate milestones

5. Build trust

Visit our detailed guides for more information on setting up and managing community feedback systems.