Floatout research · September 2026 edition
Hyperliquid builder fees report
Daily gross USDC builder fees on Hyperliquid by product, with builder address counts. September 10 to 23, 2026, UTC. Free to use and cite.
- Main perps
- 81.9% · 4,439,858 USDC
- HIP-3 perps
- 17.3% · 940,450 USDC
- Spot
- 0.7% · 40,188 USDC
- Outcome markets
- 0.04% · 2,009 USDC
Use this data
Download the CSV or the JSON. One row per UTC day. The data is free under CC BY 4.0. Credit Floatout and link to this page.
Daily builder fees by product
| Date (UTC) | Builders | Total fees | Main perps | HIP-3 | Spot | Outcomes |
|---|---|---|---|---|---|---|
| 439 | 453,188.31 | 344,380.89 | 108,311.15 | 281.64 | 214.63 | |
| 452 | 410,165.69 | 340,620.26 | 65,037.70 | 4,317.45 | 190.28 | |
| 367 | 85,147.15 | 67,917.44 | 15,808.26 | 1,265.89 | 155.56 | |
| 389 | 169,207.84 | 127,344.72 | 41,091.38 | 605.22 | 166.52 | |
| 456 | 428,405.77 | 307,249.70 | 115,582.98 | 5,356.68 | 216.41 | |
| 456 | 479,101.07 | 399,317.89 | 78,458.73 | 1,200.01 | 124.44 | |
| 438 | 336,536.62 | 284,297.22 | 50,850.71 | 1,206.93 | 181.76 | |
| 442 | 324,392.44 | 259,084.98 | 60,802.90 | 4,452.24 | 52.32 | |
| 493 | 514,500.11 | 443,800.92 | 65,037.72 | 5,577.55 | 83.92 | |
| 414 | 260,746.00 | 239,523.54 | 18,686.39 | 2,408.42 | 127.65 | |
| 411 | 291,206.24 | 267,091.44 | 22,199.29 | 1,717.83 | 197.68 | |
| 498 | 612,198.48 | 511,249.08 | 96,448.14 | 4,420.86 | 80.40 | |
| 467 | 436,462.00 | 340,630.09 | 92,005.93 | 3,728.88 | 97.10 | |
| 486 | 621,247.47 | 507,350.19 | 110,129.03 | 3,648.24 | 120.01 | |
| Total | 5,422,505.19 | 4,439,858.36 | 940,450.31 | 40,187.84 | 2,008.68 |
How we measured it
We scanned archived Hyperliquid node_fills_by_block files.
Each day reads its 24 hourly files plus hour zero of the next day, and every fill
goes to the UTC date of its timestamp. Duplicate blocks are skipped and builder fills
are deduplicated by trade ID and user.
Builder addresses are the distinct addresses on those fills. Fees are the product
totals with feeToken = USDC, rounded to cents before summing. Fees in
other tokens are left out.
Fees count per participant fill, so if both sides of a trade pay a builder fee, both count. That is why we do not publish volume or market share from this data.
The JSON adds block and fill counts and a SHA-256 hash of each daily scan output. The hashes identify our inputs. They do not prove the archive is complete. Definitions: Hyperliquid's builder code docs, node data schemas and historical data. Hyperliquid has not endorsed this report.
What this data does not show
- Full coverage. Reading every hourly file does not prove there are no gaps inside them.
- Profit. These are gross fees before costs, rebates, affiliate payouts and revenue shares.
- Businesses. One business can use several addresses, and the daily count includes addresses that earned zero.
- Floatout revenue or a forecast. A new platform should not expect any share of these totals.
If you run a community
The numbers show real demand for trading frontends. They do not show that a new logo brings traders. Check that your members come back before you pay to activate earnings. Start with the community pilot guide, then run your own numbers in the builder fee calculator. Floatout sells frontend software, so keep that in mind when reading this report.
Frequently asked questions
Is this Floatout revenue?
No. These are builder fees across every builder address we observed on Hyperliquid. It is not Floatout revenue, customer earnings or a forecast.
Is this a live dashboard?
No. Each edition is a fixed snapshot of a date range with its own downloads. New editions get added to this page.
Can I use this data?
Yes. It is free under CC BY 4.0. Credit Floatout and link to this page.
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