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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.

User quant profile

@Humanbeing007

First seen Oct 9, 2026Last thesis 3h ago4 theses on 1 token in 7d

LiveDelayed · scores 2m agoPublic Fomo profile

Descriptive statistics of this account's past theses and what happened to the token afterwards. Not a ranking of people and not a recommendation.

Research score

0–100 · shrunk toward 50 until there are enough resolved calls · never follower-based

—/ 100
Confidence: Insufficient dataToo few resolved calls to say anything reliable.

Based on 0 resolved calls

No score is shown: No resolved calls yet — this account's first call resolves on 12 Oct, 72 h after its first thesis (9 Oct). A research score needs 5 resolved calls; this account has posted 4 theses so far.

Composite of hit rate (35), lead time (20), low false positives (20), consistency (15) and median 24h return (10) over resolved calls, shrunk toward a prior of 50 with 20 pseudo-calls. Describes past calls only.

Research score history

Point-in-time snapshots · 0 shown · no number while confidence is insufficient

No research score yet — snapshots appear once at least 5 calls have resolved.

Author metrics

Every value lists its sample size (N). Hit rate shows a Wilson 95% confidence interval.

No author metrics yet

No resolved calls yet — this account's first call resolves on 12 Oct, 72 h after its first thesis (9 Oct). A research score needs 5 resolved calls; this account has posted 4 theses so far. Metrics appear with the first metrics run after that.

Outcome distribution

Return 24h after each call

No resolved calls with market data yet.

Sector specialization

Research score per narrative · shown only with ≥ 8 resolved calls in that narrative

No narrative has 8 or more resolved calls yet, so no sector strength is shown.

Recent calls

Latest 25 theses with their outcome. Outcomes resolve 72 hours after posting; lead time = minutes to the first +25% touch.

  • $BINFWhy 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.
    Posted
    3h ago
    Status
    Pending
    24h
    —
    Max return
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  • $BINFI 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
    Posted
    1d ago
    Status
    Pending
    24h
    +7.7%
    Max return
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    Drawdown
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    Lead time
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  • $BINFWhy 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.
    Posted
    2d ago
    Status
    Pending
    24h
    -2.7%
    Max return
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  • $BINFSlow and steady. First 10m then 100m loading. Binance listing count in as well
    Posted
    3d ago
    Status
    Pending
    24h
    -18.5%
    Max return
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    Drawdown
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    Lead time
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