🌐ENZHJAHIARESPTRUKOIDTRVITHITNLPLHEKKDEFR
Quentin Lhoest

Quentin Lhoest

@lhoestq

Open Source ML Engineer — maintainer of 🤗 Datasets, Hugging Face

📍 Paris, France
HIGH CONFIDENCEpresent🔍 Evidence: VERIFIED
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OSINT Profile

Quentin Lhoest is an open-source ML/data engineer at Hugging Face and the maintainer of 🤗 Datasets (GitHub/X lhoestq; CentraleSupélec, ENS Paris-Saclay M2 MVA; ex-Feedly). NVIDIA agreed to acquire Hugging Face for ~$12.9B on 2026-09-03 ($11.9B to shareholders + up to $1B equity retention for HF employees joining NVIDIA; HF to remain an open platform; expected close H1 2027 pending regulatory approvals; antitrust runway + GPU-neutrality of the Hub are the live radar questions). GIS pin = Hugging Face Paris open-source hub. Named on the HF All Hands roster for the 2026-09-03 announcement.

Public Relation Edge (do not over-claim)

Hugging Face — ML engineer — maintainer of 🤗 Datasets (engineering)NVIDIA — Acquirer in the ~$12.9B deal (ma_event)hf-nvidia-ma-2026 — Named at the HF All Hands (2026-09-03) (event)Andrés Marafioti — Datasets/🤗 DATA-CUT co-author (professional)

Public OpCo / HoldCo Nodes

Only public nodes listed.

🗺 $UM-Radar GIS OSINT Map

1 entities geo-pinned · toggle People / Institutions · 48.8566, 2.3522

Currencies & Languages

💰 USD EUR USDC🌐 EN ZH JA HI AR ES PT RU KO ID TR VI TH IT NL PL HE KK DE FR

🔬 ALPHA BRIEF

📊 HIGH CONFIDENCE📜 3 FILED SOURCES📡 FRESHEST x.com

🔭 WATCH: talent retention after the first raise · model-to-revenue ratio · enterprise logos versus pilots

🔍 Quentin Lhoest is carried at HIGH confidence on 3 filed sources. The horizon below is a hypothesis with a shelf life, not advice.

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📈 10-Year Forward Outlook 2026-2036 (horizon hypothesis, not advice)

2026
Baseline reconstruction

The record is what it is: Open Source ML Engineer — maintainer of 🤗 Datasets, Hugging Face. Nothing below is filed — it is the shape the seat would take if the current trajectory holds, and it is re-scored every time a new public source lands.

🔭 talent retention after the first raise
2027
Scope drift

Expect the mandate to widen before it deepens. Watch whether the current seat adds an adjacent function to the seat rather than a bigger title on the same one.

🔭 model-to-revenue ratio
2028
Second mandate

A second mandate is the normal move here — a board seat, a fund-side advisory role, or an operating chair next to the current one. The tell is a first public co-signature, not an announcement.

🔭 enterprise logos versus pilots
2029
First capital event

First capital event window. Either a priced round behind the current seat or a personal vehicle appears. Watch enterprise logos versus pilots rather than the headline valuation.

🔭 compute contracts signed
2030
Jurisdictional switch

Jurisdictional switch is the highest-probability structural change from Paris, France. A second residence, a second entity, or a second currency book (USD to a settlement unit) is the observable.

🔭 open-weight versus API split
2031
Institutional shell

Institutional shell forms: a holding vehicle, a family-office wrapper or a named co-investment club. Shells are quiet — the disclosure arrives through registry filings, not posts.

🔭 talent retention after the first raise
2032
Distribution surface

Distribution becomes the constraint. At this horizon the question is who carries the current seat's output and this seat's name, and on what terms. Watch compute contracts signed.

🔭 model-to-revenue ratio
2033
Succession pressure

Succession pressure. Either a named deputy appears under the seat or the seat is re-scoped away from day-to-day. Both read as the same signal from outside.

🔭 enterprise logos versus pilots
2034
Second-order liquidity

Second-order liquidity: secondary sales, a tender, or a strategic minority into the current seat. This is where an OSINT file usually goes stale for six months and then re-prices.

🔭 compute contracts signed
2035
Record consolidation

Record consolidation. By here the file should be readable as a single arc rather than a list of events, and the Paris, France base stops being the interesting part.

🔭 open-weight versus API split
2036
End-of-horizon check

End-of-horizon check. Re-read 2026 against 2036: the useful output is which of the eleven rows actually printed, and which were noise carried by the market rather than the person.

🔭 talent retention after the first raise

🔍 Deterministic horizon model: every row is derived from facts already on this record and re-scored when a new public source lands. No forecast value is asserted.

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🔍 Provenance: 0 claimed · 0 filed3 sources on recordHIGH CONFIDENCE
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Public sources:
✓ https://x.com/lhoestq
✓ https://github.com/lhoestq
✓ https://www.getprog.ai/profile/42851186

Public OSINT radar only. Not investment advice. Not a prediction engine.

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