Crypto Mindshare Tracker: How Attention Drives the Market

Why mindshare is the crypto leading indicator

Crypto markets are reflexive. Capital flows into narratives, narratives generate attention, attention pulls more capital. The first leg of every new cycle — AI Agents, DeFAI, RWA, Restaking, Modular L1s, Bitcoin DeFi — starts as a shift in attention before any meaningful price action.

If you only look at price, you're trading the second leg. If you look at attention, you're trading the first.

That's the case for a mindshare tracker. It's a leaderboard of crypto narratives ranked by how much watchlist, community, and sentiment attention they're capturing — normalized so AI Agents (a small basket of tokens with explosive social growth) and Layer 1 (a huge basket with steady attention) can be compared on the same axis.

What's leading the attention right now

The leaderboard below pulls live mindshare data from the Sharpe tracker — 30 curated narratives, refreshed every 6 hours. The 7-day delta column is the rotation signal: a narrative with positive 7d but flat or negative 24h already moved; a narrative with positive 7d and positive 24h is still trending; a narrative with negative 7d that's stabilized at flat 24h is the contrarian setup.

A few things to notice when you read this view:

• Sentiment is independent of mindshare share. A narrative can have high mindshare with low sentiment — that's fear-driven attention, often a top signal. Or low mindshare with high sentiment — that's a sleeper narrative quietly accumulating.
• Tokens column shows how many coins are in each narrative basket. Narratives with very few tokens (5–10) move violently because a single coin moving drags the whole basket. Narratives with 100+ tokens move slowly but durably.
• 24h delta can be misleading on its own — a narrative may show +20% on 24h that completely retraces. Always cross-check 7d delta.

The Sharpe mindshare formula

Sharpe computes token-level social scores first, then rolls them up into narratives. The formula mirrors the production pipeline:

Token social score = (watchlist users × 0.70) + (min(Telegram members, watchlist users × 50) × 0.10) + (watchlist users × ((sentiment up % − 50) / 100) × 0.20)

Where:

• Watchlist users are watchlist_portfolio_users — the cleanest intent signal because a user actively chose to monitor the token.
• Telegram reach is Telegram channel member count capped at 50× watchlist users per token, so farmed or airdrop-heavy channels can't dominate the score by size alone.
• Sentiment is bullish vote percentage centered around 50. Neutral sentiment contributes 0; 100% bullish adds 10% of watchlist weight; 0% bullish subtracts 10%.

Mindshare percentage is each narrative's score divided by the sum across all 30 narratives — so the column always sums to 100%. That makes it straightforward to read: 8% mindshare on AI Agents means 8% of total crypto attention is concentrated in that narrative right now.

Developer metrics (4-week commits, GitHub stars, forks) and market data (price, market cap, 24h change) are shown beside the score for confirmation, but they are not weighted into the core mindshare percentage.

Why we publish the formula

Kaito and most other attention products gate their methodology behind enterprise pricing. This is a strategic choice — the formula is the moat. We took the opposite view: publishing the methodology builds trust, lets traders sanity-check the score against their own intuition, and earns citations from researchers and journalists who need a method they can reference.

The full methodology — including the signal weights, Telegram cap, and data source for each field — is described in this guide above and reflected directly in the live tracker at /mindshare. Update notes are versioned.

Reading the rotation patterns

After running the tracker for over a year, here are the rotations that repeat:

Memecoins → AI Agents → DeFi. When risk-on regime starts, attention flows into memecoins first because they have the highest social elasticity. Within 1–2 weeks, attention rotates to AI Agents (the narrative-driven crypto cohort). Then it broadens into DeFi as capital seeks yield. Each leg is 7–14 days.

Restaking ↔ Liquid Staking ↔ DeFi. These three are tightly correlated narratives. When ETH staking yields rise, restaking gets attention. When restaking yields normalize, liquid staking gets the flow. DeFi is the fallback when both compress. The trio rotates over months, not days.

RWA → Stablecoins → CEX tokens. When TradFi flows enter crypto, RWA tokens lead, stablecoins gain mindshare on the regulatory side, and CEX tokens benefit from listing rumors. This is a slow, multi-month narrative — but high-conviction.

Privacy → Modular → Layer 2s. Periodic but consistent — every time there's a regulation scare, privacy gets attention. When it fades, attention rotates to modular blockchains and L2 scaling, which are narrative-adjacent.

How to act on mindshare data

Three patterns I use:

1. Buy the narrative with rising 7d delta but mid-pack mindshare share. A narrative jumping from 3% to 6% mindshare share over 7 days is usually getting flow before it shows up at the top of the leaderboard. By the time a narrative is at 10%+ mindshare, retail has noticed and the move is mature.

2. Sell when sentiment cracks while mindshare stays high. A narrative with 12% mindshare and 35% sentiment is in fear-driven attention — usually the topping pattern. Capital is still rotating in, but holders are getting nervous. Two-week half-life from this state is typical.

3. Use the 30 narratives as a sector rotation universe. Don't trade single tokens off mindshare — trade narratives via baskets. The Sharpe narrative tracker lets you see the basket's coin composition. Pick the top 3 by liquidity, equal-weight them, and you've got a tradable sector exposure.

Common mistakes when reading the tracker

Treating 24h Δ as a trade signal. Six-hour attention snapshots are still noisy. News events can spike watchlists or sentiment without translating to capital flow. Use 7d Δ as the primary signal and 24h Δ as a confirmation lens, not a trigger.

Ignoring tokens count. A narrative with 8 tokens (e.g. a niche AI sub-narrative) shows volatile mindshare swings because each token's social score moves the basket. Narratives with 100+ tokens (DeFi, L1) have smoother readings — that smoothness is signal, not noise.

Mixing memecoin reflexivity with regular narratives. The memecoin tracker is a separate product because memecoin attention cycles in days while broader narrative attention cycles in weeks-to-months. Memecoin mindshare doesn't translate cleanly to narrative mindshare and vice versa.

Treating developer and price context as score inputs. GitHub commits, stars, market cap, and price change are displayed beside the score, but the core mindshare percentage comes from watchlists, capped Telegram, and sentiment. Use developer and price fields to confirm a move rather than assuming they are already baked into the score.

Mindshare vs. on-chain TVL vs. price action

Mindshare is one of three orthogonal signals worth tracking together:

• Mindshare = attention. Leading indicator. Six-hour cadence.
• TVL = capital. Lagging-to-coincident indicator. Daily cadence. See DefiLlama or our ecosystems tracker.
• Price = realization. Lagging indicator. Real-time cadence.

The pattern that matters: mindshare rising → TVL flowing → price moving. When all three align in the same direction, you're in a durable trend. When mindshare is up but TVL is flat, the move will fade. When TVL is up but mindshare is fading, the move is mature and likely topping.

What's next

If you want a deeper view of any narrative on this leaderboard, click through to the per-narrative page (e.g. /mindshare/ai-agents). Each shows the historical mindshare time series, the underlying token basket, the dominant tokens driving attention, and the price context beside the score.

The methodology page at /mindshare explains the exact weights and source caveats. The data is also exposed through /api/mindshare/data at the free 30 req/min tier — see the API reference for details.

Mindshare is the leading indicator I look at first every morning. It's free, it's transparent, and the methodology is open. That's a deliberate strategic choice — we'd rather earn citations than gate the formula.