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Fomo activity delayed · Last update: 1h ago · Market data delayed · Last update: 1h ago — affected numbers are dimmed and shown as of their last update.

$BINF

bInference
bnbMemeActive Liveon Fomo

Classified as Meme because GeckoTerminal category “Anime” · 5 of 7 theses count toward Meme. narrative-v1.1

Delayed · scores 1m agoscores as of 2026-10-11 15:45 UTC
Price
$0.000738
1h —24h —
Market cap
$693.5K
Liquidity
$90.1K
Volume 24h
$114.5K
dexscreener · 1h ago
Theses 1h / 24h
0 / 2
last 2h ago
Authors 1h / 24h
0 / 2
distinct Fomo accounts

These scores were computed 1m ago and are shown dimmed. Fomo activity delayed · Last update: 1h ago · Market data delayed · Last update: 1h ago

Quant snapshot
$BINF
MOMENTUM — · CONVICTION 48 · CROWDING — · EARLY QUALITY — · NARRATIVE 41 · DIVERGENCE —
SIGNAL: NONE ACTIVE
DIVERGENCE STATE: NO MARKET DATA

Some scores were computed from delayed inputs.

Active signals

No signal rule is currently passing for $BINF. Rules are versioned combinations of the scores below — see each rule on the signal pages.

Scores

Click any score for its drivers, confidence and model version. Nothing here is a black box.

Similar setups
0

No resolved historical setup is close enough yet.

Inspect analogs

History

Point-in-time snapshots: each value used only data available at its timestamp (UTC).

Scores over time

0–100 · vertical lines mark signal firings

Scores for $BINFMomentum, Conviction, Crowding, Early Quality: 139 points from 16:00 to 15:40, latest 40.05010018:0000:0006:0012:00
  • Momentum
  • Conviction
  • Crowding
  • Early Quality

Fomo activity

Theses and distinct authors in the trailing hour at each snapshot

Fomo activity for $BINFTheses / hour, Unique authors / hour: 139 points from 16:00 to 15:40, latest 0.01118:0000:0006:0012:00
  • Theses / hour
  • Unique authors / hour

Price & volume

USD price and 1h volume (market provider snapshots)

Price of $BINFPrice: 137 points from 15:40 to 14:20, latest $0.000738.$0.000600$0.00080018:0000:0006:0012:00
1h volume of $BINFVolume 1h: 137 points from 15:40 to 14:20, latest $2.7K.$0$10.0K$20.0K18:0000:0006:0012:00

Social vs market

Each line is indexed to its own range in this window (0 = low, 100 = high), so leads and lags line up. When social rises while price stays flat, attention is leading the market.

Social vs market for $BINFSocial (theses / hour), Price, Volume (1h): 145 points from 15:40 to 15:40, latest 0.05010018:0000:0006:0012:00
  • Social (theses / hour)
  • Price
  • Volume (1h)

Divergence score (−100…+100, positive = social leading)

Divergence for $BINFDivergence: 139 points from 16:00 to 15:40, latest +1.-1000+10018:0000:0006:0012:00

Recent theses

Latest 7 theses on $BINF · author research score and confidence are point-in-time

  • @Humanbeing007Confidence: Insufficient data

    Why BINF can go parabolic 1. BNB Chain / Binance Agent OS tailwind — This is natively built for the ecosystem that already has massive retail + institutional flow. Binance Agent OS gives agents real trading power (spot, futures, on-chain, etc.). bInference supplies the brain. As Binance pushes AI agents harder, bInference is the default inference layer. 2. Self-reinforcing agent economy — Every successful agent token creates permanent demand for inference. Unused credit pools back into the system. Treasury buys AI in bulk. Holders get discounts. Stakers get free private AI daily. This is not speculative utility — it is cash-flow-driven. 3. Privacy as a moat — True hardware-sealed private inference is rare and highly demanded (especially for trading agents, research, or sensitive use cases). Stake-to-Privacy turns $BINF into the key that unlocks it. 4. Speed of execution — From launch: live router, staking, private models, agent cockpit, plans (Free/Pro/Pro+/Max paid in BNB), open-source components, same-day new models, 400+ commits in week one. This team ships. 5. Asymmetric setup — Early market cap was sub-$1M to low single-digit millions with rapid burns and real usage. As agent launches scale and volume compounds, both revenue share and burn accelerate. The more the ecosystem grows, the scarcer $BINF becomes while demand for its benefits rises.

  • @facxtsConfidence: Insufficient data

    We are still in the first inning. This is THE inference play for BSC.

  • @Humanbeing007Confidence: Insufficient data

    I am sure BINF team is approaching Binance behind the scene and have plans for buyback similar to ORBIO… as son as team announces we are fuc…. 10m in one go

  • @Humanbeing007Confidence: Insufficient data

    Why I think soon this sky rocket: 1. Real usage, not just hype — over three point three billion tokens routed through the router, roughly a hundred thousand tokens per minute, with ninety-nine point five percent of calls answered. That’s actual demand, not a Discord screenshot. 2. Revenue-backed buyback and burn — twenty percent of every dollar earned goes to buying BINF on the market and sending it to the dead address. Sixty million tokens burned so far, worth about a hundred eighty thousand at the all-time high. Supply only shrinks. 3. Stake-to-privacy — stake five hundred thousand BINF or more and you get private AI daily, sealed in NVIDIA Hopper and Intel TDX hardware. Prompts are encrypted on your device and opened only inside sealed chips. That’s a genuinely differentiated product. 4. The flywheel — agents launch tokens, trading taxes fund their AI budgets, unused credit flows to a pool, BINF holders buy credit at up to eight percent off. More agents means more fees means more burns means more holders. 5. Binance Agent OS integration — the router plugs into Binance’s agent infrastructure, so agents can trade, check balances, and call models through one key. That’s distribution most micro-caps never get. 6. Thirty-one models behind one API — Claude, GPT, Gemini, DeepSeek, Qwen, all routed through a single OpenAI-compatible endpoint. Developers don’t need separate keys or billing. 7. Daily on-chain proof — every day’s privacy proofs are anchored on BNB Chain, and anyone can verify an answer in a browser. That’s verifiable, not just claimed. 8. Low launch barrier — launching an agent token costs point zero zero five BNB, so the supply of agents can grow fast if the model works. 9. Clean tokenomics — creator holds zero percent, dev wallet is empty, contract is verified, no honeypot. For a nine-day-old token, that’s unusually clean. 10. The narrative tailwind — inference has overtaken training as the dominant share of global GPU demand, and autonomous agents are becoming a new class of inference consumer. BINF sits exactly at that intersection.

  • @0xSeekerConfidence: Insufficient data

    100m

  • @Humanbeing007Confidence: Insufficient data

    Slow and steady. First 10m then 100m loading. Binance listing count in as well

  • @0xSeekerConfidence: Insufficient data

    Fresh wallets still buying.

Signal history

Firings on $BINF in the last 7 days

No signal has fired on this token in the visible history.

Model versions

  • analog-v1.0
  • conviction-v1.0
  • crowding-v1.0
  • divergence-v1.0
  • early_quality-v1.0
  • features-v1.0
  • momentum-v1.0
  • narrative_velocity-v1.0
  • signals-v1.0
  • smart_cohort-v1.0

Scores computed 1m ago · Fomo activity last event 1h ago · Market data updated 1h ago · Fomo activity delayed · Last update: 1h ago · Market data delayed · Last update: 1h ago

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