> For the complete documentation index, see [llms.txt](https://docs.visionmakers.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.visionmakers.io/platform/mindshare.md).

# MOFO & Mindshare

Narrative-level attention and wallet-level activity, in one product

MOFO & Mindshare is the intelligence product: it measures **where collective attention is
concentrating**, and it tracks **what individual wallets are doing**. The two were separate
products and are now one, because they answer the same question from different directions.

- **Mindshare** works top down, from narratives and sectors to individual tokens.
- **MOFO** works bottom up, from individual wallets to the tokens they are moving into.

<div class="callout">
<span class="callout-label">Tracking only</span>
Neither half trades on your behalf. There is no copy trading and no automated replication of
another wallet's activity. The product tells you what is happening; every trade you make is one
you chose and signed yourself.
</div>

## Mindshare

Attention reliably leads liquidity, so measuring attention is a leading indicator.

| View | What it shows | Typical use |
| --- | --- | --- |
| **Trending tokens** | Ranked by mindshare movement rather than raw volume | Finding what is heating up before it is obvious |
| **Narrative heatmaps** | Which themes are gaining: AI agents, RWA, L2s | Rotating between sectors rather than chasing tickers |
| **KOL dashboards** | Influence quantified by historical accuracy | Deciding which voices are worth listening to |
| **Whale volume** | Large-holder flow, aggregated per token | Spotting accumulation or distribution |
| **News aggregation** | Multi-source, scored and summarised | Catching the story behind a move |
| **On-chain flow** | Net direction, holder change, retention | Separating real adoption from noise |
| **Token discovery** | New pairs, migrations, early movers | Finding things before they trend |

### How the score is built

Three independent inputs combine, each **weighted by source credibility** rather than raw size.

**Social velocity.** The rate of change in mentions, scaled by each source's historical accuracy.
A small account that has been early three times carries more weight than a large one that has
not. Velocity matters more than volume: a token mentioned 500 times a day for a month is
background, the same token going from 50 to 300 mentions in six hours is a signal.

**On-chain adoption.** Unique holders, retention across epochs, and the direction of net flow.
This answers whether attention is converting into positions, and whether they persist. A rise in
mentions with no holder growth is a warning, not a confirmation.

**Behavioural analytics.** What users do after encountering a token, rather than what they say.

### Reading an entry

Each entry carries the evidence that produced it, not just the rank:

> **1 · AI agents · 38% of total mindshare, up 6pts**
> Two major launches plus a Telegram distribution update.
> Positive, but concentrated in three tickers.
> Rotation risk if the launches fail to hold liquidity.

The last two lines matter most. A rank tells you something is moving; the concentration note
tells you how fragile the move is.

### Time windows

Mindshare is always computed over a window, and the window changes the answer. Short windows
surface noise and genuine breakouts in equal measure; long windows surface established trends
and miss the early move. The default is a rolling 24 hours, and the window is stated on every
view so a number is never ambiguous.

## MOFO wallet tracking

Where Mindshare organises discovery around narratives, MOFO organises it around **individual
wallets**.

### Observation

You follow addresses and build a personal view of the participants relevant to your strategy. An
address you follow becomes an input to your own research, and nothing about following a wallet
changes your positions.

Wallets are ranked by **realised profit** over a window you choose, not by unrealised paper
gains. Rankings derive from observed on-chain activity, so a wallet's off-platform or cross-chain
positions may not be fully represented. Review a wallet's history rather than its rank before
following it: a wallet can rank highly on the strength of one outsized trade.

### Alerts

A streaming feed of what **12,481 tracked wallets** are doing, the second they do it.

> Insider wallet bought $312.4K of $PONS, 2s ago

| Filter | Example |
| --- | --- |
| Minimum order size | Only alert above $50,000 |
| Market cap ceiling | Only tokens under $5M |
| Exclusions | Skip wallets whose holdings you already share |
| Specific wallets | Only the addresses on your list |
| Delivery | In-platform, or Telegram with one-tap quick buy |

An alert surfaces activity for consideration; you decide whether to investigate, trade or do
nothing. Where an alert leads you to trade, the swap runs through [vDEX](/platform/vdex) from
your own wallet, on your signature.

### Lite Mode

Lite Mode presents a simplified interface over the same functionality, reducing the number of
options shown at once. It is a more focused entry point for people who want wallet monitoring
without configuring every filter.

### Trade theses · planned

A planned layer will let users share the reasoning behind their decisions alongside the activity
itself. A transaction reveals **what** a wallet did; a thesis can explain **why**. Trade theses
are an upcoming extension and are **not currently live**.

## Why the two belong together

A narrative without wallets behind it is a story. Wallets moving without a narrative is noise.
Together they answer the question that actually matters, *is this real*, from both ends: whether
attention is rising, and whether the people who are usually early are acting on it.

Asking either way reaches the same product:

| Question | What resolves |
| --- | --- |
| *"Where is mindshare concentrating?"* | Ranked narrative view, current window |
| *"Is the move real, or one wallet?"* | Holder distribution and concentration check |
| *"Who is actually winning right now?"* | Wallet performance ranked by realised profit |
| *"Tell me when the wallets I follow move on anything under $5M"* | A configured alert rule |

A typical answer names the tension where one exists:

> **$AIC, attention is lagging the flow.** Top 20 wallets reduced exposure 18% this week.
> Mentions up 240%, sentiment turning neutral. Narrative is catching up as the money leaves.

## Limits worth understanding

**Social signal is adversarial.** Participants have direct financial incentives to manufacture
the appearance of attention. Credibility weighting raises the cost of doing so but does not
eliminate it.

**Coverage is uneven.** Newer and smaller assets have thinner data, so their scores are less
reliable. The platform indicates confidence where data is thin.

**An alert is not a recommendation.** A tracked wallet acting is information about that wallet.
Its reasons, time horizon, position size and risk tolerance are invisible to you.

**Past profitability does not predict future profitability.** Ranking is backward-looking by
construction.

**Latency matters.** By the time an alert reaches you and you act, price may already have moved.

**Neither half is a safety check.** Risk indicators are separate, and described in
[Intelligence Layer](/platform/intelligence-layer).

See [Risk Disclosures](/legal/risk-disclosures).

## Related

[Intelligence Layer](/platform/intelligence-layer) for risk interpretation ·
[vDEX](/platform/vdex) for execution ·
[Whitepaper section 6](/whitepaper/intelligence) for the method