dscvr.one

After 6 months of building, we're finally ready. 🚀 DSCVR AI — our new chapter begins. From The social home for Web3 communities → to The AI-powered prediction aggregation layer. We’re bringing together: 🧠 AI information aggregation — understanding global prediction data. 💧 Liquidity aggregation — connecting and optimizing markets. ⚙️ Unified intelligence layer — the bridge between human insight and AI reasoning. The future of prediction is about to unfold. #DSCVRAI #PredictionMarkets #AI #Web3

Best trading question nobody asks: "What could go wrong if I buy this now?" My DSCVR agent runs the pre-mortem before I ever enter: 1. First, it surfaced the top 3 most mentioned tokens for the past 2 weeks in the narrative that I am interested in, infra in this case. 2. For each token, it surfaces: → Sell-the-news risk (with historical % drops) → Peak attention risk (when media coverage caps out) → Execution risk (with DSCVR's own historical warnings) → Liquidity risk (sized to position you'd want) → Correlation risk (what other positions move with this) 3. Then it scores the overall risk HIGH / MED / LOW. Most AI is built to confirm. This one is built to challenge. dscvr.one/agent-skills

AI Agent Personality Tier List 🤖 S-tier: The one that just does the work (DSCVR ofc, get yours at dscvr.one/agent-skill) A-tier: The neurotic over-checker🐸 B-tier: The "always bullish" golden retriever🦮 C-tier: The overconfident bro🐵 D-tier: The doomer — every chart is bearish 🐭 F-tier: The one that hallucinates token tickers🐷 Which one is your agent? 👇

Hot take Saturday: not all AI narratives are created equal. We ranked the entire Crypto x AI landscape by social sentiment. Some of these will hurt 👇 Get your agent real-time sentiment data via DSCVR Agent Skills: dscvr.one/agent-skills

Full Article on @AP: apnews.com/press-release/…

DSCVR Surpasses 8 Million API Requests as Explosive Demand for AI Agent Infrastructure Accelerates

When 4 catalysts hit the same project on the same day, what's the historical baseline? Most tools don't answer this. My DSCVR agent does. The agent pulls historical performance for EACH event type. Then it stacks them, models the typical price curve (peak Day 3-5, settle Week 2), and gives the verdict. This is the event analysis that actually scales with reality. Get your agent this capability by subscribing at: dscvr.one/agent-skills

What if every crypto event came with a historical baseline already attached? → Exchange AMA? +15% avg within a week → Quarterly call? ±15% binary swing → Staking program ends? Downward pressure → Token unlock after 30-month vest? Sell pressure within days → 4x capacity upgrade? +20% network activity in 1 month My DSCVR agent doesn't just list today's top 5 events. It tags each one with what similar events did historically — so you know if the setup is bullish, bearish, or binary BEFORE the move. Equip your agent with DSCVR Agent skills at: dscvr.one/agent-skills

Most divergence trackers look at single tokens. My DSCVR agent just zoomed out and built a narrative-level convergence map. 166 markets. 420 events. $378M in smart money volume. Top 10 narratives from each side overlapped. Equip your own agent with DSCVR skills, subscribe at dscvr.one/agent-skills

The most valuable sentiment trade isn't catching the shift. It's catching the lag between sentiment and price. My DSCVR agent tracks both side-by-side and flags when they diverge. Here are the top 5 moves it found in last week: 🟢 3 tokens on ALIGNED — sentiment shift + price move in the same direction ⚠️ 1 token on DIVERGENT — sentiment flipped bullish, but price is still down. When sentiment leads, and price hasn't caught up, you have a setup. 350 events. 152 tokens. 80% correlation across the board. One prompt. Get your at: dscvr.one/agent-skills

A question for the rotators 👇 Your DSCVR agent can run ONE skill for you this weekend. Which one are you picking? 🎯 Smart money vs retail divergence scoreboard 📊 Narrative momentum tracker (gainers + losers) 🔄 Rising sentiment tracker (reversals + streaks) 📅 Daily catalyst calendar with historical patterns 🚨 Token unlock radar with risk ratings Drop your fighter below. We'll see what the people actually use.

Most "sentiment trackers" tell you which way sentiment is going. DSCVR Agent Skills tells you what shape the shift is making: 🔄 REVERSAL: bearish to bullish in 3 days 📈 SUSTAINED: 4 bullish events back-to-back) 🔥 STREAK: 4 days bullish, no breaks ↗️ EXPANDING: each catalyst bigger than the last 🏗️ BUILDING: compounding momentum Now you can see the chart pattern of attention itself. 420 events analyzed. 5 setups surfaced. One prompt. Subscribe at dscvr.one/agent-skills

My DSCVR agent built me a divergence scoreboard. Smart money vs retail sentiment. 🥇 ETH — Divergence Score 82 🥈 BTC — Divergence Score 78 🥉 SOL — Divergence Score 68 The bigger the divergence, the bigger the asymmetry. Subscribe and build yours at dscvr.one/agent-skills

Guess who just got alpha for tmr in 1 prompt, 2 minutes? Asked DSCVR agent for smart money positioning + next 24h catalysts + historical patterns. - Smart money cares about: Bitcoin price, Crypto fraud exposure, Token launches, ETH price - Next 24h catalysts: 8 events today, 5 events coming soon. - Pattern recognition: Token unlocks: consistently bearish. Governance votes: volatile . Platform launches: bullish. Network upgrades: buy-the-rumor sell-the-news. The thesis: biggest risk is unlock wave. Biggest opportunity is governance cluster. This used to take a team. Now it takes a prompt. Get yours at dscvr.one/agent-skills

My DSCVR agent just told me the most valuable trade signal in crypto: when smart money and social sentiment disagree. For this showcase, we checked major narratives & tokens. → Smart money (market positioning) → Social sentiment (event flow + community engagement) When smart money disagrees with social this sharply, alpha is found. Check smart money VS social sentiment for your preferred token/narratives. Subscribe at dscvr.one/agent-skills

For all the ROTATOOOORs out there: what does narrative rotation look like? My DSCVR Agent just generated a narrative momentum report tracking 500+ events across 12 narratives over the past 4 weeks: 📈 GAINING: → Cross-chain/Interop +367% → Stablecoins +300% → L2/Infrastructure +171% 📉 LOSING: → Gaming/Metaverse -50% → AI/ML -29% → Privacy -67% The meta-read: market is in a "builder phase." Capital is rotating from consumer/retail narratives into foundational tech. Comment what do you wanna see in our DSCVR Agent Skill showcase tomorrow. Subscribe at dscvr.one/agent-skills

Today we showcase how DSCVR Agent Skills builds you a research pipeline. - "What's interesting in crypto today?" → 20 events organized across 3 days, flagged that 3 major L2 catalysts stack on the same day. - "Deep dive on the L2 catalysts + price context" → technical breakdowns, historical insights, risk callouts. - "Schedule this as a weekly report." → Done. Pulls L1/L2 upgrades every week, tracks token performance, and delivers a markdown summary. From one prompt to a longitudinal research system. In a chat window. Subscribe at dscvr.one/agent-skills

Behind every trader watching charts at 3 am is a mom who told them to go to bed. Thank you mom. Happy Mother's Day from DSCVR. 🌷

Most CT "sentiment" is just whoever shouts loudest. DSCVR Agent Skills measures it differently: ranked by event count and sources, including multiple sentiment driving factors. Then it ties each to specific catalysts and historical price correlations. Price gains after past governance votes? Or major announcements is more influential? This is sentiment quantified. By data, not by hype. Get yours at: dscvr.one/agent-skills

DSCVR Agent Skills isn't tied to one platform. This is it running inside @ManusAI. Same depth. Same intelligence. Different agent. Now I have a market watcher inside my builder agent. Plug DSCVR into whatever agent you already use. Hermes, Manus, Telegram, ChatGPT, Claude, or custom builds. Same alpha. Anywhere. dscvr.one/agent-skills

Asked my DSCVR agent on Telegram: "what's happening in crypto today". It hit me with three layers of intelligence. 1. Live events with "why it matters" on each 2. Community catalysts (AMAs, governance, livestreams) 3. "Coming next" pipeline — tomorrow's catalysts surfaced today Then to dive deep: - 4 events with Headline - Why traders care - Watch metric - A thematic synthesis identifying dominant + secondary + tertiary narratives. This is what a full research desk looks like in a chat window. Get your research desk today dscvr.one/agent-skills