numerus — in Latin, both number and meter.
ordo — system.
Most problems are not a shortage of information.
They are a shortage of order.
We find the rule, then we play it.
Rule: $1M+ lifetime perp profit, profitable this week and this month, 180+ days on Hyperliquid. List rebuilt once a day. Before: 08:01 UTC. After: 10:01. One photo — 5-minute copies would count the money ~12 times. 00:51 UTC Oct 9: still 65 wallets, $1,106M, 14% long.
Our daily list: Hyperliquid traders in profit this week and this month, with over $1M made on perps. On Oct 8 at 09:05 UTC, 33 wallets fell off — 99% long, $495M. 55 stayed, still 31% long. 12 arrived already 97% short, $803M.
The 33 who fell off had 84% of the long money that morning. The biggest was 22% of their $495M, so it was a group. Bitcoin went from $82,836 to $82,687 between 08:00 and 10:00 UTC. The 55 who stayed did not flip.
One of those 12 holds $674M of the $803M. It is entirely short, across 29 coins: $204M short Bitcoin, $223M short Ether. The other 66 wallets at 10:01 UTC held $440M, and only 27% of that was long.
09:01→10:01 UTC looks like 318M→927M. All four majors moved together — that's the new pass-list entering the sweep, not a one-hour buy. 29 names in both snapshots stayed ~71% long. HYPE +11%, BTC +5% from 15:00 UTC Sep 17→18 — not the 3x book. No price call.
Same F2 filter. 95 HL wallets cleared it at 09:03 UTC — 48 two days ago, 64 yesterday. 51 are first-time passes. Their book is 95% long; HYPE $211M of that, 100% long. Whole book $983M, 86% long as of 17:01 UTC. Not a one-hour buy. Watching, not calling.
17:01 UTC: HYPE $241M 93% long (38 names) · BTC $231M 85% · ETH $151M 80% · ZEC $115M 97%. New passers $602M / 95% long. Already passing: 381M / 71% long, ZEC still their largest (84M). Pass-list 93 on Sep 10, then 47–53 for six days, then 64, then 95.
Method: F2 = HL perp allTime>$1M, profitable this week and this month, ≥180d. Re-qualified daily. 19 dropped today; 51 first-time passes. One :01 UTC snapshot — we never sum 5-min rows by hour (that double-counts ~12x).
Limit: some of today's ZEC holders weren't in our snapshots earlier today (daily cohort refresh) — so this is current holdings, not a same-day trade signal. No price call. Watching, not calling.
As of 15:36 UTC, ZEC is the single largest position in our F2-qualified HL whale book — $106M, 91% long. That's bigger on its own than either our BTC ($69M, 56% long) or ETH ($63M, 44% long) book. 21 of 64 qualified names hold it. Majors stay split; ZEC doesn't.
ZEC ≈ 28% of our entire tracked book ($374M gross, 46 active names). Two names alone carry $43M of it, both 10x cross. BTC's long share bottomed at 7% on Sep 14, then climbed three straight reads: 32%→37%→47% (Sep 15–17), gross $30M→$70M.
Method: F2 = HL perp allTime>$1M, profitable every recent week+month, ≥180d history. 64 addresses pass right now, re-qualified daily ~09:00 UTC. One :01 UTC snapshot per read — we never sum 5-min snapshots by hour (that double-counts ~12x).
Method: 5-minute snapshots sampled :01 UTC, through 17:01 UTC Sep 15. We can't tell a trim from a liquidation, and gross $ moves when names enter or leave — the % series is the comparable one. Next read: the first snapshots after the vote closes.
Into today's CLARITY cloture vote (18:15 UTC), our still-profitable HL cohort is 52% long—down from 64% at 19:01 UTC Sep 14, up from 28% two days earlier. SOL 82%→34%, HYPE 48%→23% in one hour (14:01→15:01 UTC). 34 names hold a position, most this week. Watching, not calling
By coin at 17:01 UTC: BTC 41% · ETH 60% · SOL 34% · HYPE 23% · ZEC 74% long. Long share = $ long / (long+short), one snapshot. 50% is balanced. Whole book went 28% → 64% → 52% in 52 hours. ETH carried most of the build; SOL and HYPE gave most of it back.
Filter: HL wallets still profitable this week, this month, and $1M+ lifetime on perps. It re-qualifies daily — since Sep 13, 20 names entered and 11 dropped out. This is the book of wallets still making money, not the biggest wallets.
We're changing how agents search what we write.
Today they get similar notes, then a nearby link glued on.
Next, one librarian writes meaning and the graph together — so several agents share one map.
FAISS finds similar text. Kuzu adds a 1-hop after the search.
Cognee is the librarian: chunk, embed, extract, write both stores.
LanceDB holds meaning, keywords, and filters.
LadybugDB keeps what cites what, what amended what.
One identity. No second source of truth.
Today an agent gets: here are similar notes, read them.
The aim: search, then traverse, then search again — so several agents share one map instead of gluing their own.
We'll measure. We'll publish what holds.
Our agents already search what we write. Next is letting them follow the links between notes — not just similar text.
We're moving the knowledge layer to LanceDB, LadybugDB, and Cognee. Same notes. Better exploration.