Companies134 Funding$50.3B Rounds111 ▲1 mo Investors117 Eng roles3054 ● updated 2m ago
VIX The Intelligent Venture Terminal beta

Higgsfield

current — rebuilt 2m ago

Higgsfield

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Scale video and image generation platform observed

Consumer AI fresh · evidence 1d ago 14 sources no confidence data
40.1/100
Venture signal
scored above 8% of growth peers
Outlook Stable
Why this score? ↓

What is established three decisions, kept apart

  1. 1 Identity verified Not recorded

    No person- or entity-level identity check is on record for this company. A name match is not one.

  2. 2 In the ranked index Outside mandate

    The ranked index lists private AI companies with two or more independent sourced evidence families; its Early-stage view also leaves out rounds of $100M or more that no source assigns a stage. This profile is reachable but not ranked: a sourced buyer-fit check placed it outside the seed/Series-A mandate. It is a statement about evidence and mandate, and about nothing else.

  3. 3 Fit for a seed/Series-A sourcing buyer Not a fit

    Evidence places this company outside this buyer’s market. The profile stays published; this labels it.

    Venture backing, as assessed: evidenced · Stage, as assessed: Series B

    Assessed 2026-10-24 for seed/Series-A sourcing.

Funding
$400M
2026-08-17
Adoption
no signal
downloads / week
Developer
not scored
momentum / 100
Hiring
no board
eng openings
Commercial
not checked
homepage

Composite signal v0 46 ±23 · 2 components

Five evidence lanes (activity, capital, infra, hiring, ecosystem) as within-cohort percentiles, combined with evidence-breadth weights over the 60-company baseline cohort. The ± band widens with missing lanes — it measures what the score stands on. 12 signals in the last 60 days back this number.

Traction

Latest cited round

Opportunity & risk

↗ Strongest signal: funding_recency (15% of the score).

↓ Scored on 2 of 4 components — adoption, developer had no computable metric.

10 independent sources 0 promoted signals inspect the evidence →

The skeptic's read what this company has said, judged against what happened

6 claims on record 0 verified 0 contradicted 6 not evaluated

Not evaluated ≠ false — the deadline or the evidence hasn't arrived. A forecast with no target date cannot be graded and is counted as insufficient temporal evidence. Nothing here is editorial: every count is a ledger row you can open on the Proof page.

Evaluation

How it's evaluated Four independent layers ▾

No single number decides. Layers can disagree — that's the point. New to this? →

Platform score derived
40/100
Founder self-assessment claimed
8/100
Investor ratings opinion
—
Expert ratings opinion
—
Rate this company Investor or expert role required ▾
—/5 · 0 investors

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VIX signals 2 hard signals across 2 sources ▾

The platform's own early signals for this company — hard-to-fake, and where one preceded a real raise, the measured lead.

See the full track record →

What people are saying 29 signals from 2 voices ▾
Technology No signals collected yet ▾
No technology data yet. This category is part of the record and will populate as evidence is collected or the founder provides it.
Team & hiring No signals collected yet ▾
No team & hiring data yet. This category is part of the record and will populate as evidence is collected or the founder provides it.
Market & funding stage 3 of 3 signals present ▾
Latest round stage (as stated)
seed observed stale
Latest round amount
$16M observed stale
Latest round announced
2026-08-17 observed stale
Timeline 4 events ▾
  1. 2028-03-31 it was absolutely clear that scaling loss finally work. It's not just a concept from science that scaling loss work. Video just takes maybe two, three years longer than LLMs and coding, but it was clear that finally scaling loss should work in video as well. And I just decided just to take a bet. · Prediction · pending
  2. 2028-03-31 I do believe we are going to get to spend close to 50k and 100k a month for those who can call 10x engineers, 10x creatives. · Prediction · pending
  3. 2028-03-31 we're going to be over $100 billion. · Prediction · pending
  4. 2026-08-17 series_b · $400M · Led by DST Global

Evidence & scoring

Why this score? none_required ▾

VentureSignalScore 40.1/100 for higgsfield, composed from 2 of 4 components (consumer formula), discounted ×0.85 for 50% signal coverage

ComponentWeightNormalizedContribution
funding_recency 0.2 0.7583 0.1517
funding_magnitude 0.3 0.2816 0.0845

Evidence this score rests on

Narrative vs. reality No SEC filing found for this round

Reported narrative · Tier 2
$16M seed
announced 2026-08-17 · source ↗
Filed reality · Tier 0 · SEC
No SEC Form D on record.

An evidence gap, not proof of falsity: Form D is not always required (foreign offerings, certain exemptions) or may not be filed yet.

Financing events four different events, four different dates

A first sale, a filing, an amendment and a public announcement are not the same event, and one date may not stand in for another. Where the latest financing date cannot be established from what we hold, this says unknown rather than substituting a date we do have.

Latest established financing date
2026-08-17
Money moved on or after
2026-08-17
Total reported by
not established
Basis
reported round

A reported round dated 2026-08-17 by its own source.

Shipped capability HuggingFace · public

This company publishes models on HuggingFace — observable proof of capability, ahead of any product announcement. Adoption is measured in real downloads.

Community chatter Hacker News · Tier 3 · unverified manip. risk low · 0.06

Gray-market attention, not quality. 15+ HN mentions (peak 10 points). Claim-shaped headlines are rumors until corroborated — a Tier-3 factual claim carries no evidentiary weight on its own. ▲ 10 Higgsfield: Distributed LLM training and cluster management framework 2023-10-20 ↗

Raw observations 56 current records ▾

Showing the 56 current records. Full observation history — 752 superseded records →

AttributeValueKindSourceObservedStateConf.
buyer_fit.assessment {"buyer": "seed/Series-A sourcing", "method": "Backlog pass 2026-10-24: applied the record_buyer_fit.ts fit rule to this company's held primary-source financing evidence (funding.round.* / sec.form_d. observed assessment 2026-10-24 normalized 0.90
buyer_fit.status not_a_fit observed assessment 2026-10-24 normalized 0.90
common_name Higgsfield observed artifact ↗ 2026-08-28 normalized 0.90
community.hn.max_points 10 observed artifact ↗ 2026-10-08 normalized 0.20
community.hn.mentions 15 observed artifact ↗ 2026-11-06 normalized 0.20
community.hn.rumors [] observed artifact ↗ 2026-08-28 normalized 0.20
community.hn.top_story {"url": "https://news.ycombinator.com/item?id=37954832", "title": "Higgsfield: Distributed LLM training and cluster management framework", "points": 10, "created_at": "2023-10-20"} observed artifact ↗ 2023-10-20 normalized 0.20
description Scale video and image generation platform observed derived 2026-10-01 normalized 0.60
early_signal.assessment {"rule": "operational-early-signal-v2", "missing": ["no website established independently of the name — identity unverified"], "signals": [{"value": null, "family": "voices", "attribute": "relationshi observed assessment 2026-11-12 normalized 0.90
early_signal.status held observed assessment 2026-11-12 normalized 0.90
funding.round.amount_usd 400000000 observed artifact ↗ 2026-08-17 normalized 0.90
funding.round.amount_usd 16000000 observed artifact ↗ 2026-09-28 normalized 0.50
funding.round.announced_on 2026-08-17 observed artifact ↗ 2026-08-17 normalized 0.90
funding.round.lead_investors ["DST Global"] observed artifact ↗ 2026-08-17 normalized 0.90
funding.round.source_url https://siliconangle.com/2026/08/17/higgsfield-raises-400m-at-5-4-billion-valuation-to-scale-video-and-image-generation-platform/ observed artifact ↗ 2026-08-17 normalized 0.90
funding.round.stage series_b observed artifact ↗ 2026-08-17 normalized 0.90
funding.round.stage seed observed artifact ↗ 2026-09-28 normalized 0.50
hypothesis {"criterion": {"attribute": "score.venture_signal", "threshold": 75.9, "comparator": "gte"}, "prediction": "it was absolutely clear that scaling loss finally work. It's not just a concept from science derived calc 2026-09-30 derived 0.70
hypothesis {"criterion": {"attribute": "score.venture_signal", "threshold": 75.9, "comparator": "gte"}, "prediction": "I do believe we are going to get to spend close to 50k and 100k a month for those who can ca derived calc 2026-09-30 derived 0.70
hypothesis {"criterion": {"attribute": "score.venture_signal", "threshold": 75.9, "comparator": "gte"}, "prediction": "we're going to be over $100 billion.", "expected_by": "2028-03-31T15:51:40.560Z", "confidenc derived calc 2026-09-30 derived 0.70
metric.venture.funding_amount_usd 16000000 derived calc 2026-09-30 derived 0.50
metric.venture.funding_recency_days 88.4069 derived calc 2026-11-13 derived 0.90
score.venture_signal 40.1 derived calc 2026-11-13 derived 0.34
sector consumer derived calc 2026-11-06 normalized 0.70
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "it was absolutely clear that scaling loss finally work. It's not just a concept from science that scaling loss work. V observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "I think I just lost the touch with reality back then. I was so much optimizing for what's hype today, what's the right observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "When we had less than six million left, I guess it was slightly less than five actually, I realized that the only thin observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we burned more than 10 million out of 16 million raised in seed fundraising.", "stance": "neutral", "confidence": 1, " observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "NRR at month 12 is over 300%.", "stance": "neutral", "confidence": 0.9, "signal_class": "fact_claim", "speaker_name": observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we have an in house team of over 150 creative professionals", "stance": "neutral", "confidence": 0.9, "signal_class": observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we made the first AI generated movie... we open sourced all of it", "stance": "neutral", "confidence": 0.8, "signal_cl observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "for 90 minutes of TV quality content, it was over 100 hours of AI generated content", "stance": "neutral", "confidence observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we don't do any paid", "stance": "neutral", "confidence": 0.9, "signal_class": "fact_claim", "speaker_name": "Alex Mas observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "this was my mistake... I really was thinking that chasing benchmarks is valuable", "stance": "bearish", "confidence": observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "a lot of benchmarks today for videos really text to video, which does not represent actual workflows at all", "stance" observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "average prompt length is over 3000 words... at least 10 image references for every scene", "stance": "neutral", "confi observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "it's from like maybe 1 million to 20 million in ARR within maybe the first three months. Then we released our own imag observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "The margin on own models and open weights models is over 80%. And then it almost doesn't matter. And for closed source observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we get 80% plus margin whenever we run open source models, like post-trained open source models.", "stance": "bullish" observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "internal usage of models a month is over 4 million.", "stance": "neutral", "confidence": 1, "signal_class": "fact_clai observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "I do believe we are going to get to spend close to 50k and 100k a month for those who can call 10x engineers, 10x crea observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we choose what model to use in over than 40% cases.", "stance": "neutral", "confidence": 1, "signal_class": "fact_clai observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we call it tokenomics essentially, right? As like there is certain amounts of work customers want to do, how can we op observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "for our markets, we're seeing completely different dynamics. ... they want to have maybe cheapest, more steerable mode observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "these type of network effects, I believe can become a moat over the time.", "stance": "bullish", "confidence": 0.8, "s observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "I think there's a discount placed on Higgs field because you're not a Silicon Valley insider.", "stance": "neutral", " observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "you're at a billion in revenue now... If you were a Silicon Valley company, that would easily be a $25 billion company observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "we're going to be over $100 billion.", "stance": "bullish", "confidence": 0.9, "signal_class": "prediction", "speaker_ observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "We become infrastructure to essentially build distribution for direct-to-consumer businesses.", "stance": "bullish", " observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "The largest city by usage is Seoul in South Korea, while the largest country is obviously the United States.", "stance observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M3SG6G0T365FPCGS9DK4PN1K", "signals": [{"quote": "many people don't understand the opportunity, this large market, which we go after.", "stance": "bullish", "confidence observed artifact ↗ 2026-09-28 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M77YJEESHH5B95MYRSYZ1XNG", "signals": [{"quote": "I passed on Higgsfield early on. It was an intro from a good friend at Snap, who was very well embedded in the ecosyst observed artifact ↗ 2026-11-12 promoted 0.50
signal.commentary {"context": null, "run_ref": "01M77YJEESHH5B95MYRSYZ1XNG", "signals": [{"quote": "I think we were honestly not, we didn't have a prepared mind, I think, on the category where I think it wasn't, you kn observed artifact ↗ 2026-11-12 promoted 0.50
source.document.reference {"kind": "podcast", "title": "pscrb.fm/rss/p/traffic.megaphone.fm/LTANT2688689635.mp3 — higgsfield", "source_id": "01M3N1J28NQHHECXJPWPH8NG5V-m-50b2676afbe30c83", "extract_ref": "artifact:sha256:e18a0 observed artifact ↗ 2026-09-28 normalized 0.95
source.document.reference {"kind": "podcast", "title": "traffic.libsyn.com/secure/thetwentyminutevc/Alex_Mashrabov__Higgsfield.mp3 — higgsfield", "source_id": "01M3N47EEG7KQ5005A0D4578TB-m-50b2676afbe30c83", "extract_ref": "ar observed artifact ↗ 2026-09-28 normalized 0.95
source.document.reference {"kind": "podcast", "title": "Investor Stories 499: When Conviction Comes Too Late: Higgsfield, Coinbase, and an Anonymous Founder Story (Chen, Sagalov, Aarons) — higgsfield", "source_id": "01M77XS4Y0 observed artifact ↗ 2026-11-12 normalized 0.95