QUALITY OVER NOISE
Social, re-designed for Well-Being & Trust.
A calm, community-first platform that elevates meaningful posts and reduces spam and abuse—powered by AI-driven safety to help people learn, connect, and grow.
Social media that actually
makes you better
While others optimize for addiction, we optimize for growth. A platform where quality content rises, creators thrive, and users leave feeling inspired, not drained.
Quality-First AI
Advanced algorithms that understand intent
Voice AI Companion
Expressive AI that understands emotion
Creator Economy
Fair monetization for quality content
Why Terraflock is Different
AI That Understands Intent
Our algorithms don't just track clicks—they understand context, completion, and genuine engagement to surface content that actually matters.
Creator Economy 2.0
Direct monetization tools, fair revenue sharing, and portfolio features that let creators build sustainable businesses, not just viral moments.
Well-being by Design
Session breaks, calm interfaces, and features designed to enhance mental health rather than exploit psychological vulnerabilities.
The Terraflock Difference
Introducing Entropis, your Advisor
A concept of AI that stands for quality, safety, and wellbeing. It suppresses low-signal noise and raises original craft — while adapting to each person's intent, energy, and goals. Thoughtful by default, transparent by design.
- Multi-modal analysis (text + visuals)
- Safety gate with explainable thresholds
- Quality scoring: aesthetic • substance • originality
- Personalized ranking with diversity & wellbeing
HOW BRIGHT IS THE FUTURE?
A thesis backed by product and governance.
Demand for healthier, higher-signal communities is rising. Users, creators, small businesses, and even regulators are tired of extractive engagement loops. If a network consistently helps people feel and become better after using it, it earns durable trust. Terraflock leans into that thesis with product, metrics, and governance aligned to real wellbeing.
Why now
- Multimodal AI is mature — proactive safety & creator guidance without heavy human labor.
- Cultural fatigue with outrage feeds — opening for calm & usefulness.
- Small businesses & niche creators — need reliable discovery beyond pay-to-play.
- Clear governance & metrics — aligned to wellbeing, not raw engagement.
Net positive mood after sessions
Sessions ≥6 min with no meaningful action
Saves, long comments, DM shares
Higher is better
Governance: transparent rules, community councils, and reputation-weighted signals. Optimized for real wellbeing.
What sets Terraflock apart
Evidence that our feed, guidance, and safety stack create better outcomes for people, creators, and brands.
Summary — Feed Quality
S/N valuable rate +24 pts vs avg benchmark
14-day window • Pilot IN + US
Signal-to-Noise Advantage (S/N)
More time on useful posts; less junk competing for attention.
Kinder Replies
Discussion quality, not shouting matches.
Diverse Virality (fair reach)
Breakout isn’t reserved for one content mold.
Truth-Forward Safety
Less spam & hate without silencing legitimate debate.
Intercepted before it spreads
Our classifiers stop harmful content pre-impression, so fewer people ever see it.
Guidance Uplift for Creators
Feedback that actually levels up creators.
Niche Fit for Brands
Reach the right pockets without bait.
Invest in the calm future of social.
We're raising a pre-seed to bring Terraflock to millions of creators. Request the full deck and a product walkthrough.
APPENDIX
Metrics & Methodology
SimulatedPredictive modeling and forecast data based on industry research and prototype testing. Values are projected estimates, not actual performance metrics.
Metric definitions & formulas
| Metric | Definition / Formula | Unit | Events / Source | Window |
|---|---|---|---|---|
| PWNS (post-session well-being) | Planned: (% sessions rating > 0) − (% sessions rating < 0); 5-point Likert prompt shown randomly to 1/5 sessions. | points (projected) | wellbeing_prompt_shown, wellbeing_response (planned) | 14d rolling (planned) |
| Doomscroll ratio | Planned: Sessions with contiguous scroll ≥ 6 min AND 0 meaningful actions; ÷ total sessions. | % of sessions (projected) | session_start, session_end, meaningful_action (planned) | 14d rolling (planned) |
| Meaningful actions / session | Planned: (saves + long comments + DM shares + follows) per session; likes excluded. | avg count (projected) | meaningful_action (planned) | 14d rolling (planned) |
| Harm intercept rate | Planned: Items blocked/down-ranked pre-impression ÷ total harmful items (on audit set). | % (projected) | safety_event (audit), labeled set (planned) | projected weekly audit |
| Time-to-first-discovery | Planned: Median minutes: first post → first non-friend impression/save/follow. | min (p50/p90) (projected) | post_create, impression, save, follow (planned) | 14d rolling (planned) |
| Creator click-outs / 1k | Planned: External clicks (shop/newsletter/site) per 1,000 impressions. | clicks / 1k imp. (projected) | creator_clickout, impression (planned) | 14d rolling (planned) |
Planned analytics events to instrument
session_start { user_id, ts, client, region }session_end { user_id, ts, duration_ms }post_view { post_id, dwell_ms, completed }meaningful_action { type: save|comment_long|share_dm|follow, post_id }wellbeing_prompt_shown { session_id }wellbeing_response { session_id, rating: -2..+2 }feed_rank_version { session_id, version }safety_event { content_id, model_version, decision, label? }report_submit / report_resolve { content_id, ts, outcome }creator_clickout { post_id, target }invite_sent / invite_accepted { channel }
Planned safety audit protocol
- Planned held-out labeled set (≥5k items) across toxicity, hate, adult, scam categories.
- Two-pass labeling system with senior reviewer adjudication for disagreements.
- Metrics will be reported at selected thresholds: Precision, Recall, F1.
- Appeal process with overturn rate and time-to-resolution transparency.
Planned model architecture
Planned inputs: text, image signals, account features. Expected limitations: sarcasm, code-switching. Bias mitigation: language/region stratification.
Designed to optimize for meaningful actions + well-being metrics; penalize outrage content. A/B testing via interleaving planned.
Current status & development roadmap
- Platform in development phase; metrics are predictive models based on industry research.
- Well-being measurements will be validated through user testing and behavioral studies.
- Creator monetization features planned for post-launch implementation.
- Launch timeline: Beta testing Q2 2025, full release Q3 2025.