Build1 distinct publisher3 min readPublished
Index pays crowd contributors for first-person household video. Figure's own figures put contributor spend near $3.75m a month, and they do not reconcile into an hourly wage.
The Engineer · Build desk

Compiled by The EngineerSomething wrong?How this is made
Put the two throughput numbers side by side and they do not describe the same operation. Thirty minutes of video ingested every second is 1,800 hours per wall-clock hour, or 302,400 hours a week [3][2]. Spread across the 44,000 weekly active users Figure claims, that is about 6.9 hours of recorded footage per contributor per week [3]. Now price it: the $15 million paid during four months of stealth is roughly $862,000 a week, about $20 per weekly active user, which against 6.9 hours of filming is around $2.85 an hour [2][4]. Contributors are paid by the minute [9], and nobody is filming their own laundry at that rate. The likelier read is that current ingest sits far above the average that produced the $15 million, in which case the $15 million understates what this network now costs to run, and Figure has published the cheap end of its own price.
The number a competitor can actually copy is the unit one: about $0.94 per upload across 16 million uploads [1]. That is the retail rate for a minute or so of first-person household footage in 108 countries [2], device logistics, fraud review and annotation not included [9][11]. It is now the benchmark. Anyone building a humanoid manipulation stack either matches roughly $3.75 million a month in contributor payments [5] or goes back to managed properties and business partners, which is what Figure itself did with Project Go-Big and Brookfield in September 2025 before widening the pool [13].
The 100x claim is where the budget stops working. Adcock says Index is on a path to grow one hundredfold, against a commitment of more than $1 billion for data and compute over twelve months [6]. Scale the current payment run rate by one hundred and you get about $375 million a month, or $4.5 billion a year, roughly four and a half times the entire stated budget, which also has to cover training compute [5][7]. Something has to give: the per-minute rate, the share of uploaded minutes that get paid, or the meaning of 100x. For context, that $1 billion is about the size of Figure's whole Series C, announced in September 2025 at a $39 billion post-money valuation [8].
Which brings up the number Figure did not publish. Every submission goes through quality filters, fraud review, deduplication, rebalancing and annotation, and clips judged too similar to accepted footage are discarded [11]. Figure describes retained data by density instead of volume: per 1,000 hours, 373 distinct tasks, 1,146 manipulated objects, 116 environments [4]. At the stated ingest rate, 1,000 hours of raw video arrives every 33 minutes [6], so the discard ratio decides whether this is a training corpus or a very large pile of near-duplicate bedmaking. There is no standardized total of accepted training hours in the announcement, and every scale claim in it is Figure's own [5]. Uploads and downloads describe distribution. The moat is whatever survives the filter, and that quantity remains unpriced.
Ranked by verification strength, evidence, and original report placement.
In a thread on X, Adcock said Index had collected more than 16 million video uploads from 108 countries, paid contributors $15 million and reached 264,000 downloads while operating in stealth.
The scale claims are Figure's own; its Index announcement provides upload counts and throughput but does not translate the collection into a standardized total of accepted training hours.
Index contributors apply to receive a recording device, capture first-person footage while completing approved tasks and earn money by the minute; homes and businesses can also book creators to perform chores such as making beds, folding laundry, stocking shelves and serving customers.
Figure says the footage will train Helix, its vision-language-action system for controlling Figure humanoids, arguing that internet video lacks the camera perspective, task detail and environmental coverage needed for a general-purpose robot.
Brett Adcock launched Index on August 25th, turning Figure's four-month-old crowdsourced data operation into a public app that pays people to record household and workplace tasks for its humanoid robots.
Figure says the Index network has more than 44,000 weekly active users and processes 30 minutes of uploaded video each second.
Follow any of these and your For You feed starts watching them — no settings page required.
Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Single-source, company-published metrics
Every quantitative claim traces to one article whose primary source is Adcock's X thread and Figure's own app listing and policies. The numbers are specific and internally consistent, and the reporting is transparent that they are Figure's, but there is no independent audit, no third-party corroboration, and critically no conversion of uploads into accepted training hours or any evaluation tying the corpus to robot performance.
Live app with sizable but self-reported network
There is a shipped v1.0 consumer app, a disclosed 264,000 downloads, more than 44,000 weekly active users across 108 countries, $15 million already paid to contributors and a documented predecessor deployment inside Brookfield properties, which is well past announcement-only. The score is held below high because all usage numbers are company-published, retention of uploaded footage is undisclosed, and the paid-services side of the marketplace has no customer-volume evidence.
Moat framing outruns the published arithmetic
The claims of a proprietary data moat and a 100-fold ramp are asserted against numbers that do not close. Payments near $3.75 million a month scaled 100-fold imply roughly $4.5 billion a year against a combined data-and-compute budget stated as just over $1 billion, the budget split is undisclosed, and no accepted-hours or model-performance figure exists to show the corpus is worth what it costs. The gap is positive but moderate rather than extreme because the underlying operation is demonstrably live and the disclosed inputs are unusually concrete.
Founder-published metrics serving recruitment and valuation
The disclosure is a founder launch thread timed to a public app release. Figure benefits directly from large-sounding numbers in three ways: recruiting contributors to the creator side, justifying a $39 billion post-money valuation set months earlier, and framing the corpus as a defensible moat. The privacy policy's permission to disclose or sell collected video, audio and location-derived data adds a further commercial motive to maximize collection volume.
Moderate: facts of the launch are clear, the economics are not
High confidence that Index launched, that the app and marketplace work as described, and that a $1 billion budget was announced, since these are on-the-record and partly verifiable from the app listing. Low confidence in the network's true scale, contributor economics and data quality, because a single publisher relays unaudited founder figures and the derived pay and scaling estimates depend on assumptions the company has not confirmed.
invest
LG and Nvidia put a number on physical AI: 100,000 hours of robot data in one year1 distinct publisher
invest
LG's wheels ship in 2026, its legs get a launch event in 20271 distinct publisher
product
Unitree's $9bn Shanghai listing prices the humanoid story, not the robot-dog business1 distinct publisher
build
Unitree's 8,000x book is now the comparable every humanoid banker will quote2 distinct publishers
Distinct publishers with included, body-backed reporting in this cluster.
1 article · August 25, 2026