0% of the initial token allocation is held by the creator.
Creator token stats last updated: Jun 18, 2025 19:58
The following is generated by an LLM:
Summary
AI mental health companion with creator zero-token red flag
Analysis
Genpulse ($GEN) presents an AI-driven mental health companion with advanced emotion detection and adaptive interventions. The Stanford team's hackathon win adds credibility, and partnerships with wearable OEMs like Omi suggest real-world integration. However, critical red flags emerge: the creator holds 0% of tokens (0% of 1B supply), violating the minimum recommended 10% threshold for creator alignment. This creates extreme risk of abandonment or rug pull incentives. While the roadmap shows planned regulatory compliance (HIPAA/GDPR) and clinical validation, current tokenomics lack utility justification - the token appears unnecessary for core functionality that could use traditional payments. No vesting schedules or team transparency (anonymous creator profile) further compound risks. The project solves a genuine need but fails to demonstrate why blockchain integration is essential.
Rating: 1
Generated with LLM: deepseek/deepseek-r1
LLM responses last updated: Jun 18, 2025 19:59
Original investment data:
# Genpulse ($GEN)
URL on launchpad: https://app.virtuals.io/prototypes/0x5cF7942001947c3A8f20fC61f85F82824a21c4a1
Launched at: Wed, 18 Jun 2025 19:58:37 GMT
Launched through the launchpad: Virtuals Protocol
Launch status: UNDERGRAD
## Token details and tokenomics
Token address: 0x5cF7942001947c3A8f20fC61f85F82824a21c4a1
Top holders: https://basescan.org/token/0x5cF7942001947c3A8f20fC61f85F82824a21c4a1#balances
Liquidity contract: https://basescan.org/address/0x14Fba247Bce5D0AE1a1d10637e74E29ddEdFC5B0#asset-tokens
Token symbol: $GEN
Token supply: 1 billion
Creator initial number of tokens: Creator initial number of tokens: 0 (0% of token supply)
## Creator info
Creator address: 0x92343d13a9e8130d018eDf4B1e53BF30976eC3a3
Creator on basescan.org: https://basescan.org/address/0x92343d13a9e8130d018eDf4B1e53BF30976eC3a3#asset-tokens
Creator on virtuals.io: https://app.virtuals.io/profile/0x92343d13a9e8130d018eDf4B1e53BF30976eC3a3
Creator on zerion.io: https://app.zerion.io/0x92343d13a9e8130d018eDf4B1e53BF30976eC3a3/overview
Creator on debank.com: https://debank.com/profile/0x92343d13a9e8130d018eDf4B1e53BF30976eC3a3
## Description at launch
Shipped by Stanford team who placed first in the Virtuals Hackathon, Genpulse is an emotionally intelligent AI companion that delivers real-time, voice-driven mental health support—blending human empathy with intelligent automation so you always have someone to talk to, anytime and anywhere.
## Overview
## Agent Overview
Genpulse is an AI-driven emotional companion designed to provide continuous, context-aware mental health support through natural voice interaction and deep-learning–powered emotion analysis. Built to integrate seamlessly into users’ daily lives, Genpulse bridges the gap between on-demand self-care tools and professional therapy by delivering personalized interventions, tracking emotional wellbeing over time, and providing scalable support for individuals and teams.
***
## Core Capabilities
* **Real-Time Emotion Detection**
* **Voice Analysis**: Uses deep neural networks to interpret subtleties in tone, pitch, and speech rate, enabling early detection of frustration, anxiety, or sadness.
* **Wearable Sensor Fusion**: Aggregates input from devices like Omi.
* **Behavioral Indicators**: Monitors smartphone usage patterns, typing speed, and geolocation trends (e.g., decreased social mobility) to infer potential mood swings.
* **Adaptive Conversational Interventions**
* **Contextual Prompting**: Offers micro-interventions—guided breathing, mindfulness breaks, or quick gratitude exercises—precisely when stress indicators cross user-defined thresholds.
* **Dynamic Dialogue Flow**: Tailors follow-up questions and reflection prompts based on previous user interactions, maintaining conversational coherence over days or weeks.
* **Personalized Learning Modules**: Curates short psychoeducational lessons on topics such as cognitive reframing, emotional regulation, and building resilience.
* **Wellness & Metric Dashboards**
* **Interactive Timelines**: Visualizes key metrics (anxiety levels, focus duration, sleep quality) with zoomable time windows for daily, weekly, or monthly insights.
* **Trend Analysis & Predictions**: Applies time-series forecasting to alert users and care teams about potential downturns in emotional wellbeing before they escalate.
* **Goal Setting & Progress Tracking**: Enables users to set custom goals (e.g., daily journaling, meditation consistency) and tracks adherence over time.
*
***
## Short-form Roadmap
| Quarter | Milestones |
| ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |
| Q3 2025 | - Group session module—with AI-facilitated peer support circles |
| | - Enhanced music-mood matching via Spotify and Apple Music integrations |
| | - Beta Clinician API: Provide early-access APIs for therapists to pull anonymized emotional trend data (with user consent). |
| Q4 2025 | - Clinician dashboard launch—for licensed therapists to monitor and co-manage high-risk users |
| | - Multimodal support—adding facial-expression analysis |
| | - Intervention Authoring Toolkit: Empower clinicians to script custom voice-based and chatbot-guided interventions |
| Q1 2026 | - Enterprise rollout—team analytics, manager alerts, and custom wellness challenges |
| | - Voice-driven content authoring—clinicians script interventions |
| | - Cross-Platform SDK: Launch SDKs for third-party developers to embed Solace’s emotional AI into workplace and education platforms. |
| Q2 2026 | - Predictive care engine—proactive check-ins based on seasonal trends and user history & Regulatory certifications—HIPAA, GDPR, and CE marking |
| | - Predictive Care Engine: Introduce machine-learning models that proactively schedule check-ins based on seasonal patterns and individual history. |
| | - Research Partnership Program: Establish collaborations with Berkeley labs to validate Solace’s clinical efficacy in randomized controlled trials. |
***
## Key Partnerships
* **Wearable OEMs**
* Omi: real-time transcribing and 24-7 voice analysis to provide context for therapy.
## Additional information extracted from relevant pages
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