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100 React charts in the Hearth collection, MIT licensed, open in the public registry.

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Monthly card spend
Month Spend
JAN $48K
FEB $52K
MAR $61K
APR $57K
MAY $66K
JUN $59K
JUL $71K
AUG $68K
SEP $40K
Monthly card spend
Month Spend
JAN $48K
FEB $52K
MAR $61K
APR $57K
MAY $66K
JUN $59K
JUL $71K
AUG $68K
SEP $40K
001 · BarsCompare items · Fintech data
Signups by plan
Month Starter Team Business
JUL 420 260 110
AUG 460 300 120
SEP 510 290 150
OCT 480 340 140
NOV 540 360 170
DEC 570 410 190
Signups by plan
Month Starter Team Business
JUL 420 260 110
AUG 460 300 120
SEP 510 290 150
OCT 480 340 140
NOV 540 360 170
DEC 570 410 190
002 · Grouped barsCompare items · SaaS data

Monthly card spend
Month	Spend
JAN	$48K
FEB	$52K
MAR	$61K
APR	$57K
MAY	$66K
JUN	$59K
JUL	$71K
AUG	$68K
SEP	$40K

Monthly card spend
Month	Spend
JAN	$48K
FEB	$52K
MAR	$61K
APR	$57K
MAY	$66K
JUN	$59K
JUL	$71K
AUG	$68K
SEP	$40K

Signups by plan
Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Signups by plan
Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Failed payments by reason
Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Failed payments by reason
Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

003 · Stacked barsPart of a whole · Fintech data

Net cash flow
Week Inflow ($K) Outflow ($K)
W29 220 180
W30 260 210
W31 240 230
W32 300 200
W33 280 240
W34 330 220
W35 310 260
W36 290 250
W37 360 230
W38 340 270
W39 380 240
W40 350 260
Net cash flow
Week Inflow ($K) Outflow ($K)
W29 220 180
W30 260 210
W31 240 230
W32 300 200
W33 280 240
W34 330 220
W35 310 260
W36 290 250
W37 360 230
W38 340 270
W39 380 240
W40 350 260
004 · Diverging barsCompare items · Fintech data

Net cash flow
Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Net cash flow
Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Delivery windows by route
Route	Earliest	Latest	Median	SLA
R1	08:00	11:00	09:30	Within
R2	09:00	13:00	11:00	Within
R3	07:30	10:00	08:30	Within
R4	10:00	15:00	12:30	Within
R5	08:00	12:00	10:00	Within
R6	11:00	16:00	13:00	Over
R7	09:00	12:00	10:30	Within
R8	12:00	17:00	14:00	Over

Delivery windows by route
Route	Earliest	Latest	Median	SLA
R1	08:00	11:00	09:30	Within
R2	09:00	13:00	11:00	Within
R3	07:30	10:00	08:30	Within
R4	10:00	15:00	12:30	Within
R5	08:00	12:00	10:00	Within
R6	11:00	16:00	13:00	Over
R7	09:00	12:00	10:30	Within
R8	12:00	17:00	14:00	Over

005 · Floating range barsDistribution · Logistics data

Response latency distribution
Latency	Requests
0–25 ms	60
25–50 ms	60
50–75 ms	297
75–100 ms	1,845
100–125 ms	4,755
125–150 ms	7,829
150–175 ms	9,963
175–200 ms	10,800
200–225 ms	10,537
225–250 ms	9,569
250–275 ms	8,264
275–300 ms	6,884
300–325 ms	5,588
325–350 ms	4,451
350–375 ms	3,497
375–400 ms	2,720
400–425 ms	2,100
425–450 ms	1,614
450–475 ms	1,236
475–500 ms	944
500–525 ms	721
525–550 ms	550
550–575 ms	420
575–600 ms	321
600–625 ms	245
625–650 ms	188
650–675 ms	144
675–700 ms	111
700–725 ms	85
725–750 ms	66
750–775 ms	60
775–800 ms	60
800–825 ms	60
825–850 ms	60
850–875 ms	60
875–900 ms	60

Response latency distribution
Latency	Requests
0–25 ms	60
25–50 ms	60
50–75 ms	297
75–100 ms	1,845
100–125 ms	4,755
125–150 ms	7,829
150–175 ms	9,963
175–200 ms	10,800
200–225 ms	10,537
225–250 ms	9,569
250–275 ms	8,264
275–300 ms	6,884
300–325 ms	5,588
325–350 ms	4,451
350–375 ms	3,497
375–400 ms	2,720
400–425 ms	2,100
425–450 ms	1,614
450–475 ms	1,236
475–500 ms	944
500–525 ms	721
525–550 ms	550
550–575 ms	420
575–600 ms	321
600–625 ms	245
625–650 ms	188
650–675 ms	144
675–700 ms	111
700–725 ms	85
725–750 ms	66
750–775 ms	60
775–800 ms	60
800–825 ms	60
825–850 ms	60
850–875 ms	60
875–900 ms	60

006 · HistogramDistribution · AI data

Deliveries by hub
Hub Delivered Scheduled
Rotterdam 1,312 1,480
Hamburg 1,034 1,260
Antwerp 1,046 1,120
Lyon 598 860
Milan 655 720
Deliveries by hub
Hub Delivered Scheduled
Rotterdam 1,312 1,480
Hamburg 1,034 1,260
Antwerp 1,046 1,120
Lyon 598 860
Milan 655 720
007 · Horizontal barsCompare items · Logistics data
Q3 goals
Goal Unit Actual Target
Revenue Usd $428K $500K
Orders Count 6,120 7,000
Avg order Usd $70 $68
Repeat buyers Share 31% 35%
Q3 goals
Goal Unit Actual Target
Revenue Usd $428K $500K
Orders Count 6,120 7,000
Avg order Usd $70 $68
Repeat buyers Share 31% 35%
008 · BulletCompare items · E-commerce data
Deposits by region
Region Deposits
East $478K
Midwest $386K
South $596K
West $174K
Deposits by region
Region Deposits
East $478K
Midwest $386K
South $596K
West $174K
009 · LollipopCompare items · Fintech data

Deliveries by hub
Hub	Delivered	Scheduled
Rotterdam	1,312	1,480
Hamburg	1,034	1,260
Antwerp	1,046	1,120
Lyon	598	860
Milan	655	720

Deliveries by hub
Hub	Delivered	Scheduled
Rotterdam	1,312	1,480
Hamburg	1,034	1,260
Antwerp	1,046	1,120
Lyon	598	860
Milan	655	720

Q3 goals
Goal	Unit	Actual	Target
Revenue	Usd	$428K	$500K
Orders	Count	6,120	7,000
Avg order	Usd	$70	$68
Repeat buyers	Share	31%	35%

Q3 goals
Goal	Unit	Actual	Target
Revenue	Usd	$428K	$500K
Orders	Count	6,120	7,000
Avg order	Usd	$70	$68
Repeat buyers	Share	31%	35%

Deposits by region
Region	Deposits
East	$478K
Midwest	$386K
South	$596K
West	$174K

Deposits by region
Region	Deposits
East	$478K
Midwest	$386K
South	$596K
West	$174K

P95 latency, us-east
Hour	P95
00:00	0.90 s
01:00	1.10 s
02:00	0.95 s
03:00	1.20 s
04:00	0.85 s
05:00	1.00 s
06:00	1.30 s
07:00	1.05 s
08:00	1.15 s
09:00	0.90 s
10:00	1.25 s
11:00	1.40 s
12:00	1.10 s
13:00	1.00 s
14:00	1.35 s
15:00	1.20 s
16:00	0.95 s
17:00	1.10 s
18:00	1.45 s
19:00	1.15 s
20:00	1.05 s
21:00	1.30 s
22:00	1.20 s
Now	1.30 s

P95 latency, us-east
Hour	P95
00:00	0.90 s
01:00	1.10 s
02:00	0.95 s
03:00	1.20 s
04:00	0.85 s
05:00	1.00 s
06:00	1.30 s
07:00	1.05 s
08:00	1.15 s
09:00	0.90 s
10:00	1.25 s
11:00	1.40 s
12:00	1.10 s
13:00	1.00 s
14:00	1.35 s
15:00	1.20 s
16:00	0.95 s
17:00	1.10 s
18:00	1.45 s
19:00	1.15 s
20:00	1.05 s
21:00	1.30 s
22:00	1.20 s
Now	1.30 s

010 · LineChange over time · AI data

Daily close
Day	Close
Sep 10	3,211
Sep 11	3,231
Sep 12	3,224
Sep 13	3,214
Sep 14	3,226
Sep 15	3,229
Sep 16	3,224
Sep 17	3,237
Sep 18	3,250
Sep 19	3,254
Sep 20	3,263
Sep 21	3,271
Sep 22	3,287
Sep 23	3,278
Sep 24	3,275
Sep 25	3,286
Sep 26	3,296
Sep 27	3,279
Sep 28	3,289
Sep 29	3,290
Sep 30	3,310
Oct 1	3,325
Oct 2	3,311
Oct 3	3,314
Oct 4	3,334
Oct 5	3,344
Oct 6	3,352
Oct 7	3,357
Oct 8	3,376
Oct 9	3,412

Daily close
Day	Close
Sep 10	3,211
Sep 11	3,231
Sep 12	3,224
Sep 13	3,214
Sep 14	3,226
Sep 15	3,229
Sep 16	3,224
Sep 17	3,237
Sep 18	3,250
Sep 19	3,254
Sep 20	3,263
Sep 21	3,271
Sep 22	3,287
Sep 23	3,278
Sep 24	3,275
Sep 25	3,286
Sep 26	3,296
Sep 27	3,279
Sep 28	3,289
Sep 29	3,290
Sep 30	3,310
Oct 1	3,325
Oct 2	3,311
Oct 3	3,314
Oct 4	3,334
Oct 5	3,344
Oct 6	3,352
Oct 7	3,357
Oct 8	3,376
Oct 9	3,412

011 · AreaChange over time · Crypto data

Latency by region
Hour	US-East (ms)	EU-West (ms)	AP-South (ms)	SA-East (ms)
00:00	352	297	663	515
01:00	368	326	699	493
02:00	358	341	658	479
03:00	362	326	685	479
04:00	337	315	696	506
05:00	362	340	713	469
06:00	343	352	718	495
07:00	365	332	724	533
08:00	390	344	726	508
09:00	419	330	705	530
10:00	430	338	697	540
11:00	396	346	657	526
12:00	391	370	625	517
13:00	369	394	653	552
14:00	354	420	639	516
15:00	326	403	655	539
16:00	323	420	647	513
17:00	303	394	670	533
18:00	317	379	662	506
19:00	349	380	638	497
20:00	359	364	618	516
21:00	345	393	583	484
22:00	370	403	575	521
23:00	360	394	594	518

Latency by region
Hour	US-East (ms)	EU-West (ms)	AP-South (ms)	SA-East (ms)
00:00	352	297	663	515
01:00	368	326	699	493
02:00	358	341	658	479
03:00	362	326	685	479
04:00	337	315	696	506
05:00	362	340	713	469
06:00	343	352	718	495
07:00	365	332	724	533
08:00	390	344	726	508
09:00	419	330	705	530
10:00	430	338	697	540
11:00	396	346	657	526
12:00	391	370	625	517
13:00	369	394	653	552
14:00	354	420	639	516
15:00	326	403	655	539
16:00	323	420	647	513
17:00	303	394	670	533
18:00	317	379	662	506
19:00	349	380	638	497
20:00	359	364	618	516
21:00	345	393	583	484
22:00	370	403	575	521
23:00	360	394	594	518

012 · Multi-lineChange over time · AI data

Volume by venue
Day	Northgate ($M)	Tidepool ($M)	Ardent DEX ($M)
Sep 10	384	273	118
Sep 11	404	250	137
Sep 12	392	264	128
Sep 13	397	248	138
Sep 14	365	257	133
Sep 15	396	266	148
Sep 16	372	295	143
Sep 17	400	322	127
Sep 18	432	353	114
Sep 19	470	333	91
Sep 20	485	356	85
Sep 21	441	326	98
Sep 22	434	309	94
Sep 23	406	310	77
Sep 24	387	291	67
Sep 25	350	325	67
Sep 26	347	336	87
Sep 27	321	326	60
Sep 28	339	344	80
Sep 29	380	372	108
Sep 30	393	339	89
Oct 1	375	360	106
Oct 2	407	369	114
Oct 3	395	380	103
Oct 4	390	380	96
Oct 5	434	380	122
Oct 6	456	380	95
Oct 7	433	364	112
Oct 8	417	357	93
Oct 9	455	326	108

Volume by venue
Day	Northgate ($M)	Tidepool ($M)	Ardent DEX ($M)
Sep 10	384	273	118
Sep 11	404	250	137
Sep 12	392	264	128
Sep 13	397	248	138
Sep 14	365	257	133
Sep 15	396	266	148
Sep 16	372	295	143
Sep 17	400	322	127
Sep 18	432	353	114
Sep 19	470	333	91
Sep 20	485	356	85
Sep 21	441	326	98
Sep 22	434	309	94
Sep 23	406	310	77
Sep 24	387	291	67
Sep 25	350	325	67
Sep 26	347	336	87
Sep 27	321	326	60
Sep 28	339	344	80
Sep 29	380	372	108
Sep 30	393	339	89
Oct 1	375	360	106
Oct 2	407	369	114
Oct 3	395	380	103
Oct 4	390	380	96
Oct 5	434	380	122
Oct 6	456	380	95
Oct 7	433	364	112
Oct 8	417	357	93
Oct 9	455	326	108

013 · Overlapping areasChange over time · Crypto data

Shipments by mode
Month Road (K) Sea (K) Rail (K) Air (K)
Jan 14 9 6 2
Feb 13 8 6 2
Mar 16 10 7 3
Apr 19 12 8 3
May 22 15 8 4
Jun 24 17 7 4
Jul 23 19 6 4
Aug 21 18 6 4
Sep 22 15 8 5
Oct 23 10 8 6
Nov 30 10 9 10
Dec 27 9 8 12
Shipments by mode
Month Road (K) Sea (K) Rail (K) Air (K)
Jan 14 9 6 2
Feb 13 8 6 2
Mar 16 10 7 3
Apr 19 12 8 3
May 22 15 8 4
Jun 24 17 7 4
Jul 23 19 6 4
Aug 21 18 6 4
Sep 22 15 8 5
Oct 23 10 8 6
Nov 30 10 9 10
Dec 27 9 8 12
014 · StreamgraphChange over time · Logistics data

Shipments by mode
Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Shipments by mode
Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Cash balance forecast
Month	Balance	P10	P90	Kind
May	$2.10M	$2.08M	$2.12M	Actual
Jun	$2.20M	$2.18M	$2.22M	Actual
Jul	$2.15M	$2.13M	$2.17M	Actual
Aug	$2.30M	$2.28M	$2.32M	Actual
Sep	$2.35M	$2.33M	$2.37M	Actual
Oct	$2.41M	$2.39M	$2.43M	Actual
Nov	$2.46M	$2.39M	$2.53M	Forecast
Dec	$2.50M	$2.36M	$2.64M	Forecast
Jan	$2.52M	$2.31M	$2.73M	Forecast
Feb	$2.58M	$2.30M	$2.86M	Forecast
Mar	$2.60M	$2.25M	$2.95M	Forecast
Apr	$2.66M	$2.24M	$3.08M	Forecast

Cash balance forecast
Month	Balance	P10	P90	Kind
May	$2.10M	$2.08M	$2.12M	Actual
Jun	$2.20M	$2.18M	$2.22M	Actual
Jul	$2.15M	$2.13M	$2.17M	Actual
Aug	$2.30M	$2.28M	$2.32M	Actual
Sep	$2.35M	$2.33M	$2.37M	Actual
Oct	$2.41M	$2.39M	$2.43M	Actual
Nov	$2.46M	$2.39M	$2.53M	Forecast
Dec	$2.50M	$2.36M	$2.64M	Forecast
Jan	$2.52M	$2.31M	$2.73M	Forecast
Feb	$2.58M	$2.30M	$2.86M	Forecast
Mar	$2.60M	$2.25M	$2.95M	Forecast
Apr	$2.66M	$2.24M	$3.08M	Forecast

015 · Forecast bandChange over time · Fintech data

Accuracy by context length
Context Atlas 3 Kite 2 Pro
4K 97% 93%
16K 95% 92%
32K 92% 90%
64K 86% 88%
128K 77% 84%
Accuracy by context length
Context Atlas 3 Kite 2 Pro
4K 97% 93%
16K 95% 92%
32K 92% 90%
64K 86% 88%
128K 77% 84%
016 · Vertical profileDistribution · AI data
MRR by plan
Plan MRR Share
Enterprise $82K 45%
Business $54K 29%
Team $31K 17%
Starter $17K 9%
MRR by plan
Plan MRR Share
Enterprise $82K 45%
Business $54K 29%
Team $31K 17%
Starter $17K 9%
017 · DonutPart of a whole · SaaS data
Orders by channel
Channel Share
Web 52%
App 28%
Market 14%
Retail 7%
Orders by channel
Channel Share
Web 52%
App 28%
Market 14%
Retail 7%
018 · Semi donutPart of a whole · E-commerce data
Signups by channel
Channel Signups Share
Organic 4200 30%
Paid search 3400 25%
Referral 2600 19%
Social 1800 13%
Partners 1200 9%
Events 600 4%
Signups by channel
Channel Signups Share
Organic 4200 30%
Paid search 3400 25%
Referral 2600 19%
Social 1800 13%
Partners 1200 9%
Events 600 4%
019 · Polar areaPart of a whole · SaaS data
Token budget
Item Value
Used 7.2M
Remaining 2.8M
Forecast at reset 10.4M
Resets in 9 days
Token budget
Item Value
Used 7.2M
Remaining 2.8M
Forecast at reset 10.4M
Resets in 9 days
020 · Progress ringPart of a whole · AI data
Fleet utilisation
Measure Value
Utilisation 82%
Overload threshold 85%
Vans 64
Fleet utilisation
Measure Value
Utilisation 82%
Overload threshold 85%
Vans 64
021 · GaugeCompare items · Logistics data

Accuracy by context length
Context	Atlas 3	Kite 2 Pro
4K	97%	93%
16K	95%	92%
32K	92%	90%
64K	86%	88%
128K	77%	84%

Accuracy by context length
Context	Atlas 3	Kite 2 Pro
4K	97%	93%
16K	95%	92%
32K	92%	90%
64K	86%	88%
128K	77%	84%

MRR by plan
Plan	MRR	Share
Enterprise	$82K	45%
Business	$54K	29%
Team	$31K	17%
Starter	$17K	9%

MRR by plan
Plan	MRR	Share
Enterprise	$82K	45%
Business	$54K	29%
Team	$31K	17%
Starter	$17K	9%

Orders by channel
Channel	Share
Web	52%
App	28%
Market	14%
Retail	7%

Orders by channel
Channel	Share
Web	52%
App	28%
Market	14%
Retail	7%

Signups by channel
Channel	Signups	Share
Organic	4200	30%
Paid search	3400	25%
Referral	2600	19%
Social	1800	13%
Partners	1200	9%
Events	600	4%

Signups by channel
Channel	Signups	Share
Organic	4200	30%
Paid search	3400	25%
Referral	2600	19%
Social	1800	13%
Partners	1200	9%
Events	600	4%

Token budget
Item	Value
Used	7.2M
Remaining	2.8M
Forecast at reset	10.4M
Resets in	9 days

Token budget
Item	Value
Used	7.2M
Remaining	2.8M
Forecast at reset	10.4M
Resets in	9 days

Fleet utilisation
Measure	Value
Utilisation	82%
Overload threshold	85%
Vans	64

Fleet utilisation
Measure	Value
Utilisation	82%
Overload threshold	85%
Vans	64

Token spend by team and model
Team	Model	Spend
Research	Atlas 3	$13.8K
Research	Orion XL	$6.4K
Support	Kite 2 Pro	$9.6K
Support	Pico 2	$4.1K
Support	Nova Mini	$2.2K
Search	Vega 1.5	$5.8K
Search	Lumen 4	$3.3K
Agents	Atlas 3	$2.1K
Agents	Sable 7B	$0.9K

Token spend by team and model
Team	Model	Spend
Research	Atlas 3	$13.8K
Research	Orion XL	$6.4K
Support	Kite 2 Pro	$9.6K
Support	Pico 2	$4.1K
Support	Nova Mini	$2.2K
Search	Vega 1.5	$5.8K
Search	Lumen 4	$3.3K
Agents	Atlas 3	$2.1K
Agents	Sable 7B	$0.9K

022 · SunburstPart of a whole · AI data

Model comparison
Axis Atlas 3 Kite 2 Pro
Reasoning 88 76
Code 82 85
Math 79 70
Tool use 74 81
Speed 58 77
Cost 46 72
Model comparison
Axis Atlas 3 Kite 2 Pro
Reasoning 88 76
Code 82 85
Math 79 70
Tool use 74 81
Speed 58 77
Cost 46 72
023 · RadarCompare items · AI data

Model comparison
Axis	Atlas 3	Kite 2 Pro
Reasoning	88	76
Code	82	85
Math	79	70
Tool use	74	81
Speed	58	77
Cost	46	72

Model comparison
Axis	Atlas 3	Kite 2 Pro
Reasoning	88	76
Code	82	85
Math	79	70
Tool use	74	81
Speed	58	77
Cost	46	72

Card transactions by hour
Day	00:00	02:00	04:00	06:00	08:00	10:00	12:00	14:00	16:00	18:00	20:00	22:00
Mon	4%	3%	9%	30%	49%	63%	70%	72%	91%	62%	37%	14%
Tue	4%	3%	9%	32%	53%	63%	78%	70%	83%	61%	37%	15%
Wed	5%	3%	9%	31%	54%	69%	72%	80%	91%	62%	40%	14%
Thu	5%	3%	10%	33%	57%	74%	83%	79%	94%	63%	39%	14%
Fri	5%	3%	10%	37%	54%	78%	72%	82%	97%	100%	43%	14%
Sat	4%	2%	7%	24%	38%	56%	59%	63%	70%	52%	29%	10%
Sun	2%	1%	4%	15%	30%	35%	41%	42%	48%	32%	21%	7%

Card transactions by hour
Day	00:00	02:00	04:00	06:00	08:00	10:00	12:00	14:00	16:00	18:00	20:00	22:00
Mon	4%	3%	9%	30%	49%	63%	70%	72%	91%	62%	37%	14%
Tue	4%	3%	9%	32%	53%	63%	78%	70%	83%	61%	37%	15%
Wed	5%	3%	9%	31%	54%	69%	72%	80%	91%	62%	40%	14%
Thu	5%	3%	10%	33%	57%	74%	83%	79%	94%	63%	39%	14%
Fri	5%	3%	10%	37%	54%	78%	72%	82%	97%	100%	43%	14%
Sat	4%	2%	7%	24%	38%	56%	59%	63%	70%	52%	29%	10%
Sun	2%	1%	4%	15%	30%	35%	41%	42%	48%	32%	21%	7%

024 · HeatmapSpace and place · Fintech data

Production deploys per day
Week	Mon	Tue	Wed	Thu	Fri	Sat	Sun
Week 1	0	3	2	1	0	0	0
Week 2	3	3	3	2	2	0	1
Week 3	3	0	1	1	2	0	0
Week 4	0	0	2	0	4	1	0
Week 5	1	3	2	4	1	0	0
Week 6	3	1	2	2	3	0	0
Week 7	4	2	1	3	1	0	1
Week 8	1	0	1	0	0	0	0
Week 9	4	3	1	0	0	1	0
Week 10	1	1	0	2	3	0	1
Week 11	2	2	0	3	0	1	1
Week 12	2	4	1	1	1	1	0
Week 13	1	0	2	4	4	0	1
Week 14	5	6	2	2	2	0	1
Week 15	5	2	4	6	5	0	1
Week 16	2	6	5	3	4	1	0
Week 17	3	4	6	6	2	1	0
Week 18	5	5	2	2	2	0	0
Week 19	6	3	3	2	3	0	1
Week 20	5	5	5	4	–	–	–

Production deploys per day
Week	Mon	Tue	Wed	Thu	Fri	Sat	Sun
Week 1	0	3	2	1	0	0	0
Week 2	3	3	3	2	2	0	1
Week 3	3	0	1	1	2	0	0
Week 4	0	0	2	0	4	1	0
Week 5	1	3	2	4	1	0	0
Week 6	3	1	2	2	3	0	0
Week 7	4	2	1	3	1	0	1
Week 8	1	0	1	0	0	0	0
Week 9	4	3	1	0	0	1	0
Week 10	1	1	0	2	3	0	1
Week 11	2	2	0	3	0	1	1
Week 12	2	4	1	1	1	1	0
Week 13	1	0	2	4	4	0	1
Week 14	5	6	2	2	2	0	1
Week 15	5	2	4	6	5	0	1
Week 16	2	6	5	3	4	1	0
Week 17	3	4	6	6	2	1	0
Week 18	5	5	2	2	2	0	0
Week 19	6	3	3	2	3	0	1
Week 20	5	5	5	4	–	–	–

025 · Calendar heatmapChange over time · SaaS data

Revenue retention by cohort
Cohort Accounts M0 M1 M2 M3 M4 M5
Apr 412 100% 91% 86% 83% 81% 80%
May 388 100% 93% 88% 85% 84%
Jun 455 100% 92% 87% 86%
Jul 471 100% 95% 91%
Aug 502 100% 94%
Sep 536 100%
Revenue retention by cohort
Cohort Accounts M0 M1 M2 M3 M4 M5
Apr 412 100% 91% 86% 83% 81% 80%
May 388 100% 93% 88% 85% 84%
Jun 455 100% 92% 87% 86%
Jul 471 100% 95% 91%
Aug 502 100% 94%
Sep 536 100%
026 · CohortChange over time · SaaS data

Prompt clusters by size
Request size	Topic	Cluster	Density
16K	1	Code	High
16K	2	Code	High
16K	4	Code	Low
16K	5	Code	High
8K	1	Code	High
8K	2	Code	High
8K	3	Code	Low
8K	5	Code	High
4K	1	Code	Low
4K	2	Code	Low
4K	3	Code	High
4K	4	Code	Low
4K	5	Code	High
2K	1	Code	Low
2K	2	Code	High
2K	4	Code	High
2K	5	Code	Low
4K	6	Support	Low
4K	7	Support	Low
2K	6	Support	High
1K	8	Support	High
1K	9	Support	High
512	8	Support	Low
512	9	Support	Low
1K	11	Search	Low
1K	12	Search	Low
1K	13	Search	Low
512	11	Search	Low
512	12	Search	High
512	13	Search	High
256	11	Search	High
256	12	Search	High
256	13	Search	High
128	10	Search	High
128	11	Search	Low
128	13	Search	Low
512	16	Agents	High
256	15	Agents	Low
256	16	Agents	Low
128	14	Agents	Low
128	15	Agents	Low
128	16	Agents	High
256	2	Unclustered	High
128	3	Unclustered	High
8K	10	Unclustered	High
4K	14	Unclustered	High
16K	12	Unclustered	High
128	7	Unclustered	High
2K	7	Support	High

Prompt clusters by size
Request size	Topic	Cluster	Density
16K	1	Code	High
16K	2	Code	High
16K	4	Code	Low
16K	5	Code	High
8K	1	Code	High
8K	2	Code	High
8K	3	Code	Low
8K	5	Code	High
4K	1	Code	Low
4K	2	Code	Low
4K	3	Code	High
4K	4	Code	Low
4K	5	Code	High
2K	1	Code	Low
2K	2	Code	High
2K	4	Code	High
2K	5	Code	Low
4K	6	Support	Low
4K	7	Support	Low
2K	6	Support	High
1K	8	Support	High
1K	9	Support	High
512	8	Support	Low
512	9	Support	Low
1K	11	Search	Low
1K	12	Search	Low
1K	13	Search	Low
512	11	Search	Low
512	12	Search	High
512	13	Search	High
256	11	Search	High
256	12	Search	High
256	13	Search	High
128	10	Search	High
128	11	Search	Low
128	13	Search	Low
512	16	Agents	High
256	15	Agents	Low
256	16	Agents	Low
128	14	Agents	Low
128	15	Agents	Low
128	16	Agents	High
256	2	Unclustered	High
128	3	Unclustered	High
8K	10	Unclustered	High
4K	14	Unclustered	High
16K	12	Unclustered	High
128	7	Unclustered	High
2K	7	Support	High

027 · Cells matrixRelationship · AI data

Click density by page
Page Clicks Densest area
Home 14.2K top
Product 16.1K middle
Checkout 8.3K bottom
Click density by page
Page Clicks Densest area
Home 14.2K top
Product 16.1K middle
Checkout 8.3K bottom
028 · Hex gridSpace and place · E-commerce data
Deliveries by country
Country Volume step (0–6)
NL 6
DE 6
BE 5
UK 4
FR 4
DK 3
PL 3
AT 3
ES 3
IT 3
NO 2
SE 2
IE 2
CZ 2
IS 1
FI 1
Deliveries by country
Country Volume step (0–6)
NL 6
DE 6
BE 5
UK 4
FR 4
DK 3
PL 3
AT 3
ES 3
IT 3
NO 2
SE 2
IE 2
CZ 2
IS 1
FI 1
029 · Tile mapSpace and place · Logistics data

Sales by category
Category	Subcategory	Net sales
Apparel	Shirts	$84K
Apparel	Denim	$62K
Apparel	Outerwear	$41K
Apparel	Knitwear	$28K
Apparel	Socks	$12K
Home	Bedding	$58K
Home	Lighting	$36K
Home	Kitchen	$33K
Home	Decor	$21K
Beauty	Skincare	$47K
Beauty	Fragrance	$25K
Beauty	Haircare	$18K
Outdoor	Tents	$30K
Outdoor	Footwear	$26K
Outdoor	Packs	$14K

Sales by category
Category	Subcategory	Net sales
Apparel	Shirts	$84K
Apparel	Denim	$62K
Apparel	Outerwear	$41K
Apparel	Knitwear	$28K
Apparel	Socks	$12K
Home	Bedding	$58K
Home	Lighting	$36K
Home	Kitchen	$33K
Home	Decor	$21K
Beauty	Skincare	$47K
Beauty	Fragrance	$25K
Beauty	Haircare	$18K
Outdoor	Tents	$30K
Outdoor	Footwear	$26K
Outdoor	Packs	$14K

030 · TreemapPart of a whole · E-commerce data

Sessions to outcome
Source Purchased Abandoned cart Browsed Bounced
Search 1,100 1,200 1,200 700
Social 300 600 900 800
Email 500 500 600 300
Direct 200 300 400 400
Sessions to outcome
Source Purchased Abandoned cart Browsed Bounced
Search 1,100 1,200 1,200 700
Social 300 600 900 800
Email 500 500 600 300
Direct 200 300 400 400
031 · SankeyFlow between steps · E-commerce data
Trial funnel
Stage Count Step conversion
Site visits 48.2K
Signups 12.4K 26%
Activated 5.1K 41%
Paid 1.2K 24%
Annual 0.4K 33%
Trial funnel
Stage Count Step conversion
Site visits 48.2K
Signups 12.4K 26%
Activated 5.1K 41%
Paid 1.2K 24%
Annual 0.4K 33%
032 · FunnelFlow between steps · SaaS data
Payout time by rail
Rail Fastest (days) Slowest (days) Sample payouts
Instant card 0.1 0.4 9
SEPA 0.8 1.6 9
ACH 1.2 2.6 9
Wire 0.5 1.4 9
Cross-border 2.2 4.8 9
Cheque 4.0 7.5 9
Payout time by rail
Rail Fastest (days) Slowest (days) Sample payouts
Instant card 0.1 0.4 9
SEPA 0.8 1.6 9
ACH 1.2 2.6 9
Wire 0.5 1.4 9
Cross-border 2.2 4.8 9
Cheque 4.0 7.5 9
033 · Dot stripDistribution · Fintech data

Return vs volatility · 30 d
Token	Group	Volatility	Return	Bubble size
BTC	Layer 1	38%	+6%	28
ETH	Layer 1	52%	+9%	14
SOL	Layer 1	74%	+14%	4.2
AVAX	Layer 1	88%	−6%	0.7
LINK	DeFi	70%	+3%	0.6
UNI	DeFi	82%	−2%	0.5
AAVE	DeFi	78%	+18%	0.45
MKR	DeFi	66%	−9%	0.3
DOGE	Meme	96%	+22%	1.8
PEPE	Meme	118%	+34%	0.9
SHIB	Meme	104%	−12%	0.6
BONK	Meme	114%	−15%	0.4

Return vs volatility · 30 d
Token	Group	Volatility	Return	Bubble size
BTC	Layer 1	38%	+6%	28
ETH	Layer 1	52%	+9%	14
SOL	Layer 1	74%	+14%	4.2
AVAX	Layer 1	88%	−6%	0.7
LINK	DeFi	70%	+3%	0.6
UNI	DeFi	82%	−2%	0.5
AAVE	DeFi	78%	+18%	0.45
MKR	DeFi	66%	−9%	0.3
DOGE	Meme	96%	+22%	1.8
PEPE	Meme	118%	+34%	0.9
SHIB	Meme	104%	−12%	0.6
BONK	Meme	114%	−15%	0.4

034 · ScatterRelationship · Crypto data

Volume by asset · 24 h
Asset	Volume	Change
BTC	$28.4B	+2.1%
ETH	$14.1B	+5.8%
SOL	$4.2B	−3.4%
XRP	$2.9B	+1.2%
DOGE	$1.8B	−6.1%
BNB	$1.6B	+0.8%
ADA	$0.9B	−2.2%
AVAX	$0.7B	+3.9%
LINK	$0.6B	−1.4%
DOT	$0.5B	+0.6%
TON	$0.45B	−0.9%
ATOM	$0.4B	+2.4%

Volume by asset · 24 h
Asset	Volume	Change
BTC	$28.4B	+2.1%
ETH	$14.1B	+5.8%
SOL	$4.2B	−3.4%
XRP	$2.9B	+1.2%
DOGE	$1.8B	−6.1%
BNB	$1.6B	+0.8%
ADA	$0.9B	−2.2%
AVAX	$0.7B	+3.9%
LINK	$0.6B	−1.4%
DOT	$0.5B	+0.6%
TON	$0.45B	−0.9%
ATOM	$0.4B	+2.4%

035 · Packed bubblesPart of a whole · Crypto data

SOL / USD · 4 h
Candle	Open	High	Low	Close	Volume
1	132.36	132.46	130.36	130.95	53.1
2	130.95	132.29	130.31	131.19	42.7
3	131.19	132.56	128.73	129.97	46.1
4	129.97	131.09	129.05	130.99	65.2
5	130.99	132.50	129.75	132.16	44.3
6	132.16	134.18	131.80	133.77	90.6
7	133.77	134.24	131.91	133.10	56.3
8	133.10	135.59	132.79	134.56	77.7
9	134.56	135.22	132.44	133.59	50.5
10	133.59	134.77	132.58	134.14	59.5
11	134.14	135.48	133.57	134.84	61.2
12	134.84	135.19	133.25	134.06	65.6
13	134.06	134.84	132.99	134.10	88.6
14	134.10	134.83	133.69	133.88	49.7
15	133.88	135.04	132.48	132.74	92.6
16	132.74	133.63	131.46	131.47	93.4
17	131.47	132.38	131.12	131.94	88.8
18	131.94	132.34	131.02	131.75	94.5
19	131.75	132.69	131.16	132.23	63.9
20	132.23	133.00	130.51	131.36	92.6
21	131.36	133.32	130.68	132.08	60.5
22	132.08	134.32	130.92	133.60	69.3
23	133.60	136.10	133.28	135.34	69.8
24	135.34	138.02	134.88	136.75	53.5
25	136.75	137.94	136.26	137.82	92.6
26	137.82	139.22	136.55	138.51	71.7
27	138.51	140.56	137.29	139.55	41.5
28	139.55	140.60	138.69	139.96	51.8
29	139.96	140.82	138.65	139.17	46.2
30	139.17	141.64	138.95	140.81	42.6
31	140.81	142.74	140.68	142.03	90.6
32	142.03	143.29	141.92	143.29	66.2
33	143.29	145.00	142.59	143.82	52.8
34	143.82	144.70	142.48	144.53	41.2
35	144.53	145.50	144.24	144.69	52.8
36	144.69	145.56	143.89	144.23	75.6
37	144.23	145.30	143.67	144.36	70.7
38	144.36	145.77	143.82	145.56	87.6
39	145.56	147.33	144.31	147.06	70.4
40	147.06	148.88	146.68	148.62	93.7

SOL / USD · 4 h
Candle	Open	High	Low	Close	Volume
1	132.36	132.46	130.36	130.95	53.1
2	130.95	132.29	130.31	131.19	42.7
3	131.19	132.56	128.73	129.97	46.1
4	129.97	131.09	129.05	130.99	65.2
5	130.99	132.50	129.75	132.16	44.3
6	132.16	134.18	131.80	133.77	90.6
7	133.77	134.24	131.91	133.10	56.3
8	133.10	135.59	132.79	134.56	77.7
9	134.56	135.22	132.44	133.59	50.5
10	133.59	134.77	132.58	134.14	59.5
11	134.14	135.48	133.57	134.84	61.2
12	134.84	135.19	133.25	134.06	65.6
13	134.06	134.84	132.99	134.10	88.6
14	134.10	134.83	133.69	133.88	49.7
15	133.88	135.04	132.48	132.74	92.6
16	132.74	133.63	131.46	131.47	93.4
17	131.47	132.38	131.12	131.94	88.8
18	131.94	132.34	131.02	131.75	94.5
19	131.75	132.69	131.16	132.23	63.9
20	132.23	133.00	130.51	131.36	92.6
21	131.36	133.32	130.68	132.08	60.5
22	132.08	134.32	130.92	133.60	69.3
23	133.60	136.10	133.28	135.34	69.8
24	135.34	138.02	134.88	136.75	53.5
25	136.75	137.94	136.26	137.82	92.6
26	137.82	139.22	136.55	138.51	71.7
27	138.51	140.56	137.29	139.55	41.5
28	139.55	140.60	138.69	139.96	51.8
29	139.96	140.82	138.65	139.17	46.2
30	139.17	141.64	138.95	140.81	42.6
31	140.81	142.74	140.68	142.03	90.6
32	142.03	143.29	141.92	143.29	66.2
33	143.29	145.00	142.59	143.82	52.8
34	143.82	144.70	142.48	144.53	41.2
35	144.53	145.50	144.24	144.69	52.8
36	144.69	145.56	143.89	144.23	75.6
37	144.23	145.30	143.67	144.36	70.7
38	144.36	145.77	143.82	145.56	87.6
39	145.56	147.33	144.31	147.06	70.4
40	147.06	148.88	146.68	148.62	93.7

036 · CandlestickChange over time · Crypto data

Dock schedule
Dock	Slot	From	To	State
Dock 1	TR-104	06:00	07:24	Loading
Dock 1	TR-131	07:36	09:48	Unloading
Dock 1	TR-220	10:12	12:36	Loading
Dock 2	TR-112	06:18	08:54	Unloading
Dock 2	TR-217 · late	09:12	11:24	Delayed
Dock 2	TR-236	11:48	13:36	Loading
Dock 3	Wait	06:00	06:48	Waiting
Dock 3	TR-145	07:00	09:30	Loading
Dock 3	TR-251	10:00	13:12	Unloading
Dock 4	TR-162 · bulk	06:30	10:48	Loading
Dock 4	Waiting	11:12	13:48	Waiting
Dock 5	TR-178	07:12	08:36	Unloading
Dock 5	TR-190	09:00	11:00	Loading
Dock 5	TR-203	11:24	12:24	Unloading
Dock 6	Maintenance	06:00	09:00	Waiting
Dock 6	TR-244	09:36	12:12	Loading

Dock schedule
Dock	Slot	From	To	State
Dock 1	TR-104	06:00	07:24	Loading
Dock 1	TR-131	07:36	09:48	Unloading
Dock 1	TR-220	10:12	12:36	Loading
Dock 2	TR-112	06:18	08:54	Unloading
Dock 2	TR-217 · late	09:12	11:24	Delayed
Dock 2	TR-236	11:48	13:36	Loading
Dock 3	Wait	06:00	06:48	Waiting
Dock 3	TR-145	07:00	09:30	Loading
Dock 3	TR-251	10:00	13:12	Unloading
Dock 4	TR-162 · bulk	06:30	10:48	Loading
Dock 4	Waiting	11:12	13:48	Waiting
Dock 5	TR-178	07:12	08:36	Unloading
Dock 5	TR-190	09:00	11:00	Loading
Dock 5	TR-203	11:24	12:24	Unloading
Dock 6	Maintenance	06:00	09:00	Waiting
Dock 6	TR-244	09:36	12:12	Loading

037 · GanttSchedule and status · Logistics data

Release train · Q4
Squad	Item	State	Status
Core	Billing v3	Shipped	Shipped
Core	Usage alerts	In progress	4 days left
Core	Audit log	Planned	Planned
Growth	Trial nudges	Shipped	Shipped
Growth	Pricing page	In progress	6 days left
Growth	Referral v2	Blocked	Blocked
Platform	SSO for teams	In progress	9 days left
Platform	Rate limits	Planned	Planned
Mobile	Push crash	Blocked	Blocked
Mobile	Offline mode	Shipped	Shipped
Mobile	Widgets	Planned	Planned

Release train · Q4
Squad	Item	State	Status
Core	Billing v3	Shipped	Shipped
Core	Usage alerts	In progress	4 days left
Core	Audit log	Planned	Planned
Growth	Trial nudges	Shipped	Shipped
Growth	Pricing page	In progress	6 days left
Growth	Referral v2	Blocked	Blocked
Platform	SSO for teams	In progress	9 days left
Platform	Rate limits	Planned	Planned
Mobile	Push crash	Blocked	Blocked
Mobile	Offline mode	Shipped	Shipped
Mobile	Widgets	Planned	Planned

038 · Block timelineSchedule and status · SaaS data

Agent tool calls
Tool Calls Share
Search 12.4K 32%
Code run 8.1K 21%
Browser 6.2K 16%
SQL 5.6K 15%
Email 3.4K 9%
Files 2.7K 7%
Agent tool calls
Tool Calls Share
Search 12.4K 32%
Code run 8.1K 21%
Browser 6.2K 16%
SQL 5.6K 15%
Email 3.4K 9%
Files 2.7K 7%
039 · NetworkRelationship · AI data

Release dependencies
Item	Level	Parent	Status
v4.2 · Dec 05	Release	–	Release
Billing v3	Epics	v4.2 · Dec 05	Shipped
SSO for teams	Epics	v4.2 · Dec 05	In progress
Referral v2	Epics	v4.2 · Dec 05	Blocked
Invoices	Tasks	Billing v3	Shipped
SAML login	Tasks	SSO for teams	Review
SCIM sync	Tasks	SSO for teams	Todo
Legal review	Tasks	Referral v2	Blocked

Release dependencies
Item	Level	Parent	Status
v4.2 · Dec 05	Release	–	Release
Billing v3	Epics	v4.2 · Dec 05	Shipped
SSO for teams	Epics	v4.2 · Dec 05	In progress
Referral v2	Epics	v4.2 · Dec 05	Blocked
Invoices	Tasks	Billing v3	Shipped
SAML login	Tasks	SSO for teams	Review
SCIM sync	Tasks	SSO for teams	Todo
Legal review	Tasks	Referral v2	Blocked

040 · TreeRelationship · SaaS data

Active wallets by tier
Tier Wallets Active
Whales 42 92%
Large 1.2K 88%
Mid 6.8K 81%
Small 10.2K 64%
Active wallets by tier
Tier Wallets Active
Whales 42 92%
Large 1.2K 88%
Mid 6.8K 81%
Small 10.2K 64%
041 · OrbitRelationship · Crypto data
Cash bridge, Q3
Step Change Balance
Open $1.82M
Sales +$1.24M $3.06M
Refund −$0.09M $2.97M
Staff −$0.71M $2.26M
Cloud −$0.23M $2.03M
Tax −$0.12M $1.91M
Close $1.91M
Cash bridge, Q3
Step Change Balance
Open $1.82M
Sales +$1.24M $3.06M
Refund −$0.09M $2.97M
Staff −$0.71M $2.26M
Cloud −$0.23M $2.03M
Tax −$0.12M $1.91M
Close $1.91M
042 · WaterfallFlow between steps · Fintech data
Latency spread by model
Model Min (ms) Q1 (ms) Median (ms) Q3 (ms) Max (ms) Outliers (ms)
Atlas 3 180 260 320 410 620 760
Kite 2 150 210 260 330 480
Orion 320 480 590 760 1040 1150
Vega 120 170 200 240 330 420
Nova 210 300 380 520 880
Latency spread by model
Model Min (ms) Q1 (ms) Median (ms) Q3 (ms) Max (ms) Outliers (ms)
Atlas 3 180 260 320 410 620 760
Kite 2 150 210 260 330 480
Orion 320 480 590 760 1040 1150
Vega 120 170 200 240 330 420
Nova 210 300 380 520 880
043 · Box plotDistribution · AI data
Conversion by channel, September to October
Channel September October
Email 4.1% 5.2%
Search 3.2% 3.6%
Direct 2.7% 3.1%
Social 2.2% 1.9%
Affiliate 1.6% 2.3%
Conversion by channel, September to October
Channel September October
Email 4.1% 5.2%
Search 3.2% 3.6%
Direct 2.7% 3.1%
Social 2.2% 1.9%
Affiliate 1.6% 2.3%
044 · SlopeCompare items · E-commerce data
Weekly trading volume rank
Asset W33 W34 W35 W36 W37 W38 W39 W40
Ethereum #1 #1 #2 #1 #1 #1 #2 #1
Solana #2 #2 #1 #2 #3 #2 #1 #2
XRP #3 #4 #3 #3 #2 #3 #3 #4
Toncoin #4 #5 #5 #4 #5 #4 #4 #5
Dogecoin #5 #3 #4 #5 #4 #5 #5 #3
Weekly trading volume rank
Asset W33 W34 W35 W36 W37 W38 W39 W40
Ethereum #1 #1 #2 #1 #1 #1 #2 #1
Solana #2 #2 #1 #2 #3 #2 #1 #2
XRP #3 #4 #3 #3 #2 #3 #3 #4
Toncoin #4 #5 #5 #4 #5 #4 #4 #5
Dogecoin #5 #3 #4 #5 #4 #5 #5 #3
045 · BumpCompare items · Crypto data
New MRR and churn, 2026
Month New MRR Churn rate
Jan $28K 2.4%
Feb $31K 2.2%
Mar $30K 2.3%
Apr $35K 2%
May $38K 1.9%
Jun $36K 1.8%
Jul $41K 1.7%
Aug $44K 1.6%
Sep $42K 1.7%
Oct $47K 1.5%
New MRR and churn, 2026
Month New MRR Churn rate
Jan $28K 2.4%
Feb $31K 2.2%
Mar $30K 2.3%
Apr $35K 2%
May $38K 1.9%
Jun $36K 1.8%
Jul $41K 1.7%
Aug $44K 1.6%
Sep $42K 1.7%
Oct $47K 1.5%
046 · Bar and line comboChange over time · SaaS data
Sales by region and category, Q3
Region Share of sales Apparel Home Electronics Beauty
NA 38% 34% 22% 28% 16%
EU 30% 41% 25% 18% 16%
APAC 20% 22% 14% 46% 18%
LATAM 12% 38% 30% 12% 20%
Sales by region and category, Q3
Region Share of sales Apparel Home Electronics Beauty
NA 38% 34% 22% 28% 16%
EU 30% 41% 25% 18% 16%
APAC 20% 22% 14% 46% 18%
LATAM 12% 38% 30% 12% 20%
047 · MarimekkoPart of a whole · E-commerce data

Bridge flows between chains
From	To	Volume
Ethereum	Arbitrum	$210M
Ethereum	Base	$190M
Arbitrum	Ethereum	$160M
Base	Ethereum	$120M
Ethereum	Solana	$95M
Solana	Ethereum	$70M
Arbitrum	Base	$105M
Polygon	Ethereum	$73M
Solana	Base	$144M
Polygon	Arbitrum	$73M

Bridge flows between chains
From	To	Volume
Ethereum	Arbitrum	$210M
Ethereum	Base	$190M
Arbitrum	Ethereum	$160M
Base	Ethereum	$120M
Ethereum	Solana	$95M
Solana	Ethereum	$70M
Arbitrum	Base	$105M
Polygon	Ethereum	$73M
Solana	Base	$144M
Polygon	Arbitrum	$73M

048 · ChordFlow between steps · Crypto data

Model trade-offs
Model Accuracy Speed Cost Safety Context
Kite 2 Pro 86 82 71 90 70
Orion XL 95 38 30 93 96
Vega 1.5 74 94 90 85 52
Nova 80 70 62 78 64
Atlas 3 92 64 48 95 88
Model trade-offs
Model Accuracy Speed Cost Safety Context
Kite 2 Pro 86 82 71 90 70
Orion XL 95 38 30 93 96
Vega 1.5 74 94 90 85 52
Nova 80 70 62 78 64
Atlas 3 92 64 48 95 88
049 · Parallel coordinatesRelationship · AI data
On-time rate by carrier
Carrier On-time Low (95%) High (95%)
Nordline 97.2% 96.4% 98%
Rapida 96.4% 95.7% 97.1%
Parcelo 95.8% 94.1% 97.5%
Swift EU 94.1% 92.8% 95.4%
Cargo One 92.6% 90.2% 95%
Lumen Post 89.8% 86.5% 93.1%
On-time rate by carrier
Carrier On-time Low (95%) High (95%)
Nordline 97.2% 96.4% 98%
Rapida 96.4% 95.7% 97.1%
Parcelo 95.8% 94.1% 97.5%
Swift EU 94.1% 92.8% 95.4%
Cargo One 92.6% 90.2% 95%
Lumen Post 89.8% 86.5% 93.1%
050 · Dot plot with intervalsDistribution · Logistics data

Year in activity
Week	Share of busiest week
W1	5%
W2	39%
W3	42%
W4	49%
W5	51%
W6	51%
W7	57%
W8	50%
W9	50%
W10	57%
W11	89%
W12	50%
W13	47%
W14	50%
W15	39%
W16	39%
W17	44%
W18	42%
W19	43%
W20	37%
W21	40%
W22	52%
W23	39%
W24	48%
W25	57%
W26	51%
W27	58%
W28	61%
W29	64%
W30	64%
W31	79%
W32	83%
W33	85%
W34	81%
W35	82%
W36	70%
W37	74%
W38	71%
W39	64%
W40	61%
W41	69%
W42	65%
W43	68%
W44	58%
W45	56%
W46	70%
W47	66%
W48	74%
W49	77%
W50	83%
W51	76%
W52	48%

Year in activity
Week	Share of busiest week
W1	5%
W2	39%
W3	42%
W4	49%
W5	51%
W6	51%
W7	57%
W8	50%
W9	50%
W10	57%
W11	89%
W12	50%
W13	47%
W14	50%
W15	39%
W16	39%
W17	44%
W18	42%
W19	43%
W20	37%
W21	40%
W22	52%
W23	39%
W24	48%
W25	57%
W26	51%
W27	58%
W28	61%
W29	64%
W30	64%
W31	79%
W32	83%
W33	85%
W34	81%
W35	82%
W36	70%
W37	74%
W38	71%
W39	64%
W40	61%
W41	69%
W42	65%
W43	68%
W44	58%
W45	56%
W46	70%
W47	66%
W48	74%
W49	77%
W50	83%
W51	76%
W52	48%

051 · Spiral yearChange over time · SaaS data

Delivery rhythm
Day	00:00	01:00	02:00	03:00	04:00	05:00	06:00	07:00	08:00	09:00	10:00	11:00	12:00	13:00	14:00	15:00	16:00	17:00	18:00	19:00	20:00	21:00	22:00	23:00
Mon	1%	8%	5%	1%	8%	12%	21%	40%	54%	64%	66%	66%	64%	63%	63%	66%	83%	90%	83%	80%	49%	29%	16%	4%
Tue	2%	1%	7%	3%	1%	1%	16%	33%	58%	66%	80%	65%	66%	60%	71%	75%	77%	83%	90%	83%	62%	33%	19%	6%
Wed	11%	2%	8%	1%	1%	11%	16%	41%	64%	77%	78%	79%	63%	65%	79%	77%	89%	83%	93%	83%	56%	43%	16%	5%
Thu	1%	6%	1%	1%	3%	7%	26%	37%	57%	76%	83%	71%	74%	76%	81%	83%	83%	96%	97%	92%	63%	41%	19%	6%
Fri	1%	1%	1%	7%	1%	15%	22%	40%	61%	74%	88%	78%	75%	66%	74%	82%	90%	96%	96%	89%	66%	44%	21%	15%
Sat	1%	6%	3%	1%	1%	6%	10%	17%	29%	27%	35%	34%	22%	25%	28%	35%	34%	42%	42%	34%	19%	14%	8%	9%
Sun	1%	3%	1%	0%	1%	1%	13%	14%	20%	26%	37%	27%	24%	24%	26%	28%	34%	36%	40%	34%	20%	17%	6%	4%

Delivery rhythm
Day	00:00	01:00	02:00	03:00	04:00	05:00	06:00	07:00	08:00	09:00	10:00	11:00	12:00	13:00	14:00	15:00	16:00	17:00	18:00	19:00	20:00	21:00	22:00	23:00
Mon	1%	8%	5%	1%	8%	12%	21%	40%	54%	64%	66%	66%	64%	63%	63%	66%	83%	90%	83%	80%	49%	29%	16%	4%
Tue	2%	1%	7%	3%	1%	1%	16%	33%	58%	66%	80%	65%	66%	60%	71%	75%	77%	83%	90%	83%	62%	33%	19%	6%
Wed	11%	2%	8%	1%	1%	11%	16%	41%	64%	77%	78%	79%	63%	65%	79%	77%	89%	83%	93%	83%	56%	43%	16%	5%
Thu	1%	6%	1%	1%	3%	7%	26%	37%	57%	76%	83%	71%	74%	76%	81%	83%	83%	96%	97%	92%	63%	41%	19%	6%
Fri	1%	1%	1%	7%	1%	15%	22%	40%	61%	74%	88%	78%	75%	66%	74%	82%	90%	96%	96%	89%	66%	44%	21%	15%
Sat	1%	6%	3%	1%	1%	6%	10%	17%	29%	27%	35%	34%	22%	25%	28%	35%	34%	42%	42%	34%	19%	14%	8%	9%
Sun	1%	3%	1%	0%	1%	1%	13%	14%	20%	26%	37%	27%	24%	24%	26%	28%	34%	36%	40%	34%	20%	17%	6%	4%

052 · Radial hour heatmapSchedule and status · Logistics data

Market depth
Side	Price	Cumulative size (BTC)
Bid	64,170	10
Bid	64,130	21
Bid	64,090	24
Bid	64,050	27
Bid	64,010	40
Bid	63,970	43
Bid	63,930	49
Bid	63,890	56
Bid	63,850	67
Bid	63,810	82
Bid	63,770	86
Bid	63,730	90
Bid	63,690	97
Bid	63,650	100
Bid	63,610	112
Ask	64,250	3
Ask	64,290	7
Ask	64,330	14
Ask	64,370	17
Ask	64,410	21
Ask	64,450	38
Ask	64,490	41
Ask	64,530	46
Ask	64,570	52
Ask	64,610	55
Ask	64,650	64
Ask	64,690	84
Ask	64,730	88
Ask	64,770	94
Ask	64,810	98

Market depth
Side	Price	Cumulative size (BTC)
Bid	64,170	10
Bid	64,130	21
Bid	64,090	24
Bid	64,050	27
Bid	64,010	40
Bid	63,970	43
Bid	63,930	49
Bid	63,890	56
Bid	63,850	67
Bid	63,810	82
Bid	63,770	86
Bid	63,730	90
Bid	63,690	97
Bid	63,650	100
Bid	63,610	112
Ask	64,250	3
Ask	64,290	7
Ask	64,330	14
Ask	64,370	17
Ask	64,410	21
Ask	64,450	38
Ask	64,490	41
Ask	64,530	46
Ask	64,570	52
Ask	64,610	55
Ask	64,650	64
Ask	64,690	84
Ask	64,730	88
Ask	64,770	94
Ask	64,810	98

053 · Order book depthDistribution · Crypto data

FX volatility
Day	EUR / USD	GBP / USD	USD / JPY	USD / CHF
1	-0.41	-0.45	+0.03	-0.01
2	-0.79	-0.81	-0.03	-0.01
3	-0.46	-0.98	-0.21	+0.08
4	-0.74	-1.40	+0.16	+0.48
5	-0.71	-1.51	+0.67	+0.39
6	-0.79	-1.75	+0.75	+0.05
7	-0.70	-1.80	+0.92	+0.05
8	-0.75	-1.41	+1.53	-0.09
9	-0.82	-1.11	+1.66	-0.35
10	-0.45	-0.83	+1.15	-0.65
11	-0.25	-1.22	+0.90	-1.01
12	-0.44	-1.18	+1.12	-1.36
13	-0.38	-1.52	+0.92	-1.50
14	-0.34	-1.72	+0.65	-1.14
15	-0.69	-1.42	+0.93	-0.82
16	-0.81	-1.62	+0.70	-0.55
17	-1.16	-1.29	+0.92	-0.22
18	-1.53	-1.70	+0.77	-0.61
19	-1.55	-1.75	+0.14	-0.97
20	-1.90	-1.78	-0.19	-1.30
21	-2.20	-1.59	+0.00	-1.21
22	-1.92	-1.49	+0.33	-1.59
23	-2.20	-1.54	+0.91	-1.83
24	-2.17	-1.31	+0.92	-1.99
25	-2.29	-1.70	+1.31	-1.94
26	-2.08	-2.13	+1.28	-2.35
27	-2.40	-2.27	+1.07	-1.95
28	-2.21	-2.48	+1.10	-1.75
29	-1.95	-2.41	+0.65	-2.10
30	-1.88	-2.58	+0.33	-1.69
31	-1.86	-2.36	+0.83	-2.10
32	-1.50	-2.72	+0.34	-1.80
33	-1.64	-3.00	+0.65	-1.74
34	-1.50	-3.00	+1.00	-1.43
35	-1.47	-2.85	+0.43	-1.35
36	-1.40	-2.78	+0.32	-1.67
37	-1.03	-2.46	+0.00	-2.04
38	-0.71	-2.72	+0.36	-2.27
39	-1.09	-2.52	+0.90	-2.43
40	-1.40	-2.22	+1.34	-2.19
41	-1.61	-2.33	+1.69	-2.55
42	-1.50	-1.97	+1.41	-2.32
43	-1.92	-2.28	+1.66	-2.33
44	-1.86	-2.33	+1.06	-2.71
45	-1.69	-1.95	+1.27	-2.31
46	-2.02	-2.37	+2.57	-2.26
47	-1.97	-2.27	+2.78	-2.17
48	-1.72	-2.27	+3.23	-1.73
49	-1.56	-2.42	+3.79	-2.15
50	-1.49	-2.12	+4.16	-1.80
51	-1.31	-2.27	+3.52	-1.45
52	-1.55	-2.54	+3.14	-1.11
53	-1.49	-2.15	+1.84	-1.23
54	-1.33	-2.20	+1.98	-1.30
55	-1.32	-2.03	+2.29	-1.26
56	-1.00	-2.10	+1.62	-1.21
57	-1.30	-2.25	+2.15	-1.01
58	-1.30	-2.15	+2.42	-1.45
59	-0.86	-1.94	+2.63	-1.20
60	-0.96	-1.92	+2.24	-1.18

FX volatility
Day	EUR / USD	GBP / USD	USD / JPY	USD / CHF
1	-0.41	-0.45	+0.03	-0.01
2	-0.79	-0.81	-0.03	-0.01
3	-0.46	-0.98	-0.21	+0.08
4	-0.74	-1.40	+0.16	+0.48
5	-0.71	-1.51	+0.67	+0.39
6	-0.79	-1.75	+0.75	+0.05
7	-0.70	-1.80	+0.92	+0.05
8	-0.75	-1.41	+1.53	-0.09
9	-0.82	-1.11	+1.66	-0.35
10	-0.45	-0.83	+1.15	-0.65
11	-0.25	-1.22	+0.90	-1.01
12	-0.44	-1.18	+1.12	-1.36
13	-0.38	-1.52	+0.92	-1.50
14	-0.34	-1.72	+0.65	-1.14
15	-0.69	-1.42	+0.93	-0.82
16	-0.81	-1.62	+0.70	-0.55
17	-1.16	-1.29	+0.92	-0.22
18	-1.53	-1.70	+0.77	-0.61
19	-1.55	-1.75	+0.14	-0.97
20	-1.90	-1.78	-0.19	-1.30
21	-2.20	-1.59	+0.00	-1.21
22	-1.92	-1.49	+0.33	-1.59
23	-2.20	-1.54	+0.91	-1.83
24	-2.17	-1.31	+0.92	-1.99
25	-2.29	-1.70	+1.31	-1.94
26	-2.08	-2.13	+1.28	-2.35
27	-2.40	-2.27	+1.07	-1.95
28	-2.21	-2.48	+1.10	-1.75
29	-1.95	-2.41	+0.65	-2.10
30	-1.88	-2.58	+0.33	-1.69
31	-1.86	-2.36	+0.83	-2.10
32	-1.50	-2.72	+0.34	-1.80
33	-1.64	-3.00	+0.65	-1.74
34	-1.50	-3.00	+1.00	-1.43
35	-1.47	-2.85	+0.43	-1.35
36	-1.40	-2.78	+0.32	-1.67
37	-1.03	-2.46	+0.00	-2.04
38	-0.71	-2.72	+0.36	-2.27
39	-1.09	-2.52	+0.90	-2.43
40	-1.40	-2.22	+1.34	-2.19
41	-1.61	-2.33	+1.69	-2.55
42	-1.50	-1.97	+1.41	-2.32
43	-1.92	-2.28	+1.66	-2.33
44	-1.86	-2.33	+1.06	-2.71
45	-1.69	-1.95	+1.27	-2.31
46	-2.02	-2.37	+2.57	-2.26
47	-1.97	-2.27	+2.78	-2.17
48	-1.72	-2.27	+3.23	-1.73
49	-1.56	-2.42	+3.79	-2.15
50	-1.49	-2.12	+4.16	-1.80
51	-1.31	-2.27	+3.52	-1.45
52	-1.55	-2.54	+3.14	-1.11
53	-1.49	-2.15	+1.84	-1.23
54	-1.33	-2.20	+1.98	-1.30
55	-1.32	-2.03	+2.29	-1.26
56	-1.00	-2.10	+1.62	-1.21
57	-1.30	-2.25	+2.15	-1.01
58	-1.30	-2.15	+2.42	-1.45
59	-0.86	-1.94	+2.63	-1.20
60	-0.96	-1.92	+2.24	-1.18

054 · HorizonChange over time · Fintech data

Response length by model
Model Peak (tokens) Spread (tokens) Weight
ATLAS 3 540 180 1
ATLAS 3 1250 220 0.35
KITE 2 380 140 1
ORION 900 300 1
ORION 1600 200 0.4
VEGA 260 90 1
VEGA 700 160 0.25
NOVA 620 240 1
Response length by model
Model Peak (tokens) Spread (tokens) Weight
ATLAS 3 540 180 1
ATLAS 3 1250 220 0.35
KITE 2 380 140 1
ORION 900 300 1
ORION 1600 200 0.4
VEGA 260 90 1
VEGA 700 160 0.25
NOVA 620 240 1
055 · RidgelineDistribution · AI data

ETH price bricks
Brick	Direction	From	To
1	Up	$2,400	$2,450
2	Up	$2,450	$2,500
3	Up	$2,500	$2,550
4	Down	$2,550	$2,500
5	Up	$2,500	$2,550
6	Up	$2,550	$2,600
7	Up	$2,600	$2,650
8	Up	$2,650	$2,700
9	Down	$2,700	$2,650
10	Down	$2,650	$2,600
11	Up	$2,600	$2,650
12	Up	$2,650	$2,700
13	Up	$2,700	$2,750
14	Up	$2,750	$2,800
15	Up	$2,800	$2,850
16	Down	$2,850	$2,800
17	Down	$2,800	$2,750
18	Down	$2,750	$2,700
19	Up	$2,700	$2,750
20	Up	$2,750	$2,800
21	Up	$2,800	$2,850
22	Up	$2,850	$2,900
23	Down	$2,900	$2,850
24	Up	$2,850	$2,900
25	Up	$2,900	$2,950
26	Up	$2,950	$3,000
27	Up	$3,000	$3,050
28	Down	$3,050	$3,000
29	Down	$3,000	$2,950
30	Up	$2,950	$3,000
31	Up	$3,000	$3,050
32	Up	$3,050	$3,100

ETH price bricks
Brick	Direction	From	To
1	Up	$2,400	$2,450
2	Up	$2,450	$2,500
3	Up	$2,500	$2,550
4	Down	$2,550	$2,500
5	Up	$2,500	$2,550
6	Up	$2,550	$2,600
7	Up	$2,600	$2,650
8	Up	$2,650	$2,700
9	Down	$2,700	$2,650
10	Down	$2,650	$2,600
11	Up	$2,600	$2,650
12	Up	$2,650	$2,700
13	Up	$2,700	$2,750
14	Up	$2,750	$2,800
15	Up	$2,800	$2,850
16	Down	$2,850	$2,800
17	Down	$2,800	$2,750
18	Down	$2,750	$2,700
19	Up	$2,700	$2,750
20	Up	$2,750	$2,800
21	Up	$2,800	$2,850
22	Up	$2,850	$2,900
23	Down	$2,900	$2,850
24	Up	$2,850	$2,900
25	Up	$2,900	$2,950
26	Up	$2,950	$3,000
27	Up	$3,000	$3,050
28	Down	$3,050	$3,000
29	Down	$3,000	$2,950
30	Up	$2,950	$3,000
31	Up	$3,000	$3,050
32	Up	$3,050	$3,100

056 · RenkoChange over time · Crypto data

Route progress
Stop	Time	Status
Depot	07:30	Delivered
Alder St	07:52	Delivered
Bay Rd	08:10	Delivered
Cole Sq	08:31	Delivered
Dock 4	08:58	Delivered
Elm Park	Now	Current stop
Fern Hill	09:46	Planned
Gate 9	10:05	Planned
Harbor	10:28	Planned
Iris Ave	10:51	Planned
Juniper	11:14	Planned
Depot	11:40	Planned

Route progress
Stop	Time	Status
Depot	07:30	Delivered
Alder St	07:52	Delivered
Bay Rd	08:10	Delivered
Cole Sq	08:31	Delivered
Dock 4	08:58	Delivered
Elm Park	Now	Current stop
Fern Hill	09:46	Planned
Gate 9	10:05	Planned
Harbor	10:28	Planned
Iris Ave	10:51	Planned
Juniper	11:14	Planned
Depot	11:40	Planned

057 · Route lineSpace and place · Logistics data

Yard occupancy
Place	State
Door 1	Loading
Door 2	Loading
Door 3	Empty
Door 4	Loading
Door 5	Blocked
Door 6	Loading
Door 7	Empty
Door 8	Loading
Door 9	Loading
Door 10	Empty
Door 11	Loading
Door 12	Loading
Slot 1	Loaded
Slot 2	Loaded
Slot 3	Reefer
Slot 4	Waiting 2 h+
Slot 5	Loaded
Slot 6	Empty
Slot 7	Loaded
Slot 8	Reefer
Slot 9	Loaded
Slot 10	Loaded
Slot 11	Reefer
Slot 12	Loaded
Slot 13	Empty
Slot 14	Loaded
Slot 15	Waiting 2 h+
Slot 16	Loaded
Slot 17	Loaded
Slot 18	Empty
Slot 19	Reefer
Slot 20	Loaded
Slot 21	Loaded
Slot 22	Empty
Slot 23	Loaded
Slot 24	Loaded
Slot 25	Waiting 2 h+
Slot 26	Reefer
Slot 27	Empty
Slot 28	Loaded
Slot 29	Loaded
Slot 30	Waiting 2 h+
Slot 31	Loaded
Slot 32	Empty
Slot 33	Loaded
Slot 34	Reefer
Slot 35	Empty
Slot 36	Loaded
Slot 37	Empty
Slot 38	Loaded
Slot 39	Empty
Slot 40	Loaded

Yard occupancy
Place	State
Door 1	Loading
Door 2	Loading
Door 3	Empty
Door 4	Loading
Door 5	Blocked
Door 6	Loading
Door 7	Empty
Door 8	Loading
Door 9	Loading
Door 10	Empty
Door 11	Loading
Door 12	Loading
Slot 1	Loaded
Slot 2	Loaded
Slot 3	Reefer
Slot 4	Waiting 2 h+
Slot 5	Loaded
Slot 6	Empty
Slot 7	Loaded
Slot 8	Reefer
Slot 9	Loaded
Slot 10	Loaded
Slot 11	Reefer
Slot 12	Loaded
Slot 13	Empty
Slot 14	Loaded
Slot 15	Waiting 2 h+
Slot 16	Loaded
Slot 17	Loaded
Slot 18	Empty
Slot 19	Reefer
Slot 20	Loaded
Slot 21	Loaded
Slot 22	Empty
Slot 23	Loaded
Slot 24	Loaded
Slot 25	Waiting 2 h+
Slot 26	Reefer
Slot 27	Empty
Slot 28	Loaded
Slot 29	Loaded
Slot 30	Waiting 2 h+
Slot 31	Loaded
Slot 32	Empty
Slot 33	Loaded
Slot 34	Reefer
Slot 35	Empty
Slot 36	Loaded
Slot 37	Empty
Slot 38	Loaded
Slot 39	Empty
Slot 40	Loaded

058 · Yard mapSpace and place · Logistics data

Shelf availability
Shelf	Product	Facings	Stock	Status
1	OAT	3	0%	Out
1	SOY	2	70%	Healthy
1	WHOLE	4	85%	Healthy
1	SKIM	3	55%	Healthy
1	A2	2	22%	Low
2	GREEK	3	64%	Healthy
2	SKYR	3	90%	Healthy
2	KEFIR	2	0%	Out
2	PLAIN	4	76%	Healthy
2	KIDS	2	18%	Low
3	BRIE	2	50%	Healthy
3	FETA	2	81%	Healthy
3	CHEDDAR	4	68%	Healthy
3	GOUDA	3	0%	Out
3	MOZZ	3	92%	Healthy

Shelf availability
Shelf	Product	Facings	Stock	Status
1	OAT	3	0%	Out
1	SOY	2	70%	Healthy
1	WHOLE	4	85%	Healthy
1	SKIM	3	55%	Healthy
1	A2	2	22%	Low
2	GREEK	3	64%	Healthy
2	SKYR	3	90%	Healthy
2	KEFIR	2	0%	Out
2	PLAIN	4	76%	Healthy
2	KIDS	2	18%	Low
3	BRIE	2	50%	Healthy
3	FETA	2	81%	Healthy
3	CHEDDAR	4	68%	Healthy
3	GOUDA	3	0%	Out
3	MOZZ	3	92%	Healthy

059 · Shelf planogramSpace and place · E-commerce data

Churn model lift
Customers contacted Churners found (model) Churners found (random)
10% 36% 10%
20% 61% 20%
30% 78% 30%
40% 88% 40%
50% 95% 50%
60% 98% 60%
70% 99% 70%
80% 100% 80%
90% 100% 90%
100% 100% 100%
Churn model lift
Customers contacted Churners found (model) Churners found (random)
10% 36% 10%
20% 61% 20%
30% 78% 30%
40% 88% 40%
50% 95% 50%
60% 98% 60%
70% 99% 70%
80% 100% 80%
90% 100% 90%
100% 100% 100%
060 · Gains curveDistribution · SaaS data
Request outcomes
Service Sampled requests Error rate Slow rate
Chat API 150 2% 6%
Embeddings 110 0.5% 2%
Agents 90 6% 12%
Request outcomes
Service Sampled requests Error rate Slow rate
Chat API 150 2% 6%
Embeddings 110 0.5% 2%
Agents 90 6% 12%
061 · Event barcodeSchedule and status · AI data
Policy rate path
Period Median Lowest Highest Members
2026 3.625% 3.125% 4.125% 15
2027 3.375% 2.875% 3.875% 15
2028 3.125% 2.625% 3.625% 15
Longer run 3.000% 2.750% 3.250% 15
Policy rate path
Period Median Lowest Highest Members
2026 3.625% 3.125% 4.125% 15
2027 3.375% 2.875% 3.875% 15
2028 3.125% 2.625% 3.625% 15
Longer run 3.000% 2.750% 3.250% 15
062 · Rate dot plotDistribution · Fintech data

Q3 survey
Statement	Strongly disagree	Disagree	Neutral	Agree	Strongly agree
Easy to set up	4%	8%	14%	42%	32%
Worth the price	9%	17%	22%	34%	18%
Reports are clear	3%	7%	18%	45%	27%
Support is fast	6%	12%	20%	37%	25%
Would recommend	5%	9%	16%	38%	32%

Q3 survey
Statement	Strongly disagree	Disagree	Neutral	Agree	Strongly agree
Easy to set up	4%	8%	14%	42%	32%
Worth the price	9%	17%	22%	34%	18%
Reports are clear	3%	7%	18%	45%	27%
Support is fast	6%	12%	20%	37%	25%
Would recommend	5%	9%	16%	38%	32%

063 · LikertDistribution · SaaS data

Transfer arcs
From To Weight
CEX RETAIL 9
CEX MM 7
MM DEFI 6
DEFI BRIDGE 4
WHALE CEX 8
RETAIL DEFI 3
MINER CEX 5
BRIDGE RETAIL 2
MM WHALE 3
DEFI MINER 1
Transfer arcs
From To Weight
CEX RETAIL 9
CEX MM 7
MM DEFI 6
DEFI BRIDGE 4
WHALE CEX 8
RETAIL DEFI 3
MINER CEX 5
BRIDGE RETAIL 2
MM WHALE 3
DEFI MINER 1
064 · Arc diagramRelationship · Crypto data
Dispatch by site
Site Same-day dispatch Orders
Leeds 98% 4.1,00
Lyon 97% 3.6,00
Porto 91% 2.2,00
Gdansk 96% 2.9,00
Brno 99% 1.8,00
Turin 94% 2.4,00
Ghent 89% 1.6,00
Malmo 97% 1.9,00
Dispatch by site
Site Same-day dispatch Orders
Leeds 98% 4.1,00
Lyon 97% 3.6,00
Porto 91% 2.2,00
Gdansk 96% 2.9,00
Brno 99% 1.8,00
Turin 94% 2.4,00
Ghent 89% 1.6,00
Malmo 97% 1.9,00
065 · Ring gridCompare items · E-commerce data
Price watch
Product Our price Rival price Gap
Trail runner $129 $139 −$10
Rain shell $179 $172 +$7
Fleece mid $79 $89 −$10
Daypack 20L $64 $69 −$5
Wool beanie $29 $24 +$5
Hiking pole $49 $55 −$6
Price watch
Product Our price Rival price Gap
Trail runner $129 $139 −$10
Rain shell $179 $172 +$7
Fleece mid $79 $89 −$10
Daypack 20L $64 $69 −$5
Wool beanie $29 $24 +$5
Hiking pole $49 $55 −$6
066 · DumbbellCompare items · E-commerce data

Line schedule
Van	Depot	Market	Canal	Park	Mill	Port
Van 11	08:00–08:06	08:26–08:34	08:52–09:00	09:20–09:26	09:44–09:50	10:10
Van 12	08:30–08:36	08:56–09:02	09:24–09:32	09:52–09:58	10:16–10:22	10:40
Van 17	09:00–09:06	09:26–09:32	09:52–10:00	10:20–10:26	10:46–10:52	11:12
Van 19	09:30–09:36	10:00–10:06	10:30–11:12	11:34–11:40	11:52–11:56	12:00
Van 19 plan	09:30–09:36	09:56–10:02	10:22–10:30	10:50–10:56	11:16–11:22	11:42

Line schedule
Van	Depot	Market	Canal	Park	Mill	Port
Van 11	08:00–08:06	08:26–08:34	08:52–09:00	09:20–09:26	09:44–09:50	10:10
Van 12	08:30–08:36	08:56–09:02	09:24–09:32	09:52–09:58	10:16–10:22	10:40
Van 17	09:00–09:06	09:26–09:32	09:52–10:00	10:20–10:26	10:46–10:52	11:12
Van 19	09:30–09:36	10:00–10:06	10:30–11:12	11:34–11:40	11:52–11:56	12:00
Van 19 plan	09:30–09:36	09:56–10:02	10:22–10:30	10:50–10:56	11:16–11:22	11:42

067 · Marey scheduleSchedule and status · Logistics data

Spend breakdown
Team Project Spend
Support Chat bot $11.2K
Support Triage $7.2K
Search Rerank $7.5K
Search Embed $4.6K
Agents Ops $6.4K
Agents Sales $4.2K
Labs Evals $7.1K
Spend breakdown
Team Project Spend
Support Chat bot $11.2K
Support Triage $7.2K
Search Rerank $7.5K
Search Embed $4.6K
Agents Ops $6.4K
Agents Sales $4.2K
Labs Evals $7.1K
068 · IciclePart of a whole · AI data
Feature adoption
Features used Accounts
Dashboards only 1,240
Alerts only 380
API only 520
Dashboards and Alerts 610
Dashboards and API 290
Alerts and API 140
All three 410
Feature adoption
Features used Accounts
Dashboards only 1,240
Alerts only 380
API only 520
Dashboards and Alerts 610
Dashboards and API 290
Alerts and API 140
All three 410
069 · VennPart of a whole · SaaS data
Status
Service Uptime Operational days Degraded days Outage days
API 99.98% 62 1 0
Dashboard 99.99% 63 0 0
Webhooks 99.91% 60 2 1
Status
Service Uptime Operational days Degraded days Outage days
API 99.98% 62 1 0
Dashboard 99.99% 63 0 0
Webhooks 99.91% 60 2 1
070 · Uptime barsSchedule and status · SaaS data

SOL / USD profile
Price level	Volume	Zone
157.0–158.0	4
156.0–157.0	6
155.0–156.0	9
154.0–155.0	11
153.0–154.0	15	Value area
152.0–153.0	19	Value area
151.0–152.0	26	Value area
150.0–151.0	30	Point of control
149.0–150.0	23	Value area
148.0–149.0	17	Value area
147.0–148.0	12
146.0–147.0	8
145.0–146.0	5
144.0–145.0	3

SOL / USD profile
Price level	Volume	Zone
157.0–158.0	4
156.0–157.0	6
155.0–156.0	9
154.0–155.0	11
153.0–154.0	15	Value area
152.0–153.0	19	Value area
151.0–152.0	26	Value area
150.0–151.0	30	Point of control
149.0–150.0	23	Value area
148.0–149.0	17	Value area
147.0–148.0	12
146.0–147.0	8
145.0–146.0	5
144.0–145.0	3

071 · Volume profileDistribution · Crypto data

Portfolio map
Product	Growth	Margin	Quadrant
Linen	+42%	48%	Grow
Denim	+8%	44%	Protect
Knit	+28%	36%	Grow
Socks	−8%	22%	Review
Boots	+34%	18%	Fix margin
Caps	+4%	38%	Protect
Belts	−12%	12%	Review
Tees	+18%	26%	Fix margin
Scarf	+50%	34%	Grow
Bags	+22%	52%	Grow
Kids	−2%	30%	Protect
Swim	+46%	14%	Fix margin

Portfolio map
Product	Growth	Margin	Quadrant
Linen	+42%	48%	Grow
Denim	+8%	44%	Protect
Knit	+28%	36%	Grow
Socks	−8%	22%	Review
Boots	+34%	18%	Fix margin
Caps	+4%	38%	Protect
Belts	−12%	12%	Review
Tees	+18%	26%	Fix margin
Scarf	+50%	34%	Grow
Bags	+22%	52%	Grow
Kids	−2%	30%	Protect
Swim	+46%	14%	Fix margin

072 · QuadrantRelationship · E-commerce data

Support topics
Topic	Weight	Tone
login	90%	Neutral
API key	70%	Neutral
billing	66%	Neutral
refund	62%	Negative
slow sync	55%	Negative
SSO	50%	Neutral
thanks	45%	Positive
timeout	42%	Negative
invoice	40%	Neutral
rate limit	38%	Negative
webhooks	35%	Neutral
seats	33%	Neutral
export	30%	Neutral
Slack	30%	Neutral
pricing	28%	Neutral
onboarding	26%	Positive
great	24%	Positive
dark mode	22%	Positive
2FA	20%	Neutral
CSV	18%	Neutral

Support topics
Topic	Weight	Tone
login	90%	Neutral
API key	70%	Neutral
billing	66%	Neutral
refund	62%	Negative
slow sync	55%	Negative
SSO	50%	Neutral
thanks	45%	Positive
timeout	42%	Negative
invoice	40%	Neutral
rate limit	38%	Negative
webhooks	35%	Neutral
seats	33%	Neutral
export	30%	Neutral
Slack	30%	Neutral
pricing	28%	Neutral
onboarding	26%	Positive
great	24%	Positive
dark mode	22%	Positive
2FA	20%	Neutral
CSV	18%	Neutral

073 · Term cloudCompare items · SaaS data

Agent trace
Span	Depth	Start	End	Duration	Kind
agent.run	0	0.0 s	8.4 s	8.4 s	Model
plan	1	0.0 s	1.1 s	1.1 s	Model
research	1	1.1 s	5.6 s	4.5 s	Tool
answer	1	5.6 s	8.4 s	2.8 s	Model
web.search	2	1.2 s	4.3 s	3.1 s	Tool
docs.query	2	4.3 s	5.5 s	1.2 s	Retrieval
draft	2	5.7 s	7.6 s	1.9 s	Model
check	2	7.6 s	8.3 s	0.7 s	Model
fetch ×6	3	1.3 s	3.4 s	2.1 s	Tool
queue	3	3.4 s	4.2 s	0.8 s	Wait
rerank	3	4.6 s	5.4 s	0.8 s	Retrieval
cite	3	6.5 s	7.5 s	1.0 s	Retrieval
parse	4	1.4 s	2.6 s	1.2 s	Tool

Agent trace
Span	Depth	Start	End	Duration	Kind
agent.run	0	0.0 s	8.4 s	8.4 s	Model
plan	1	0.0 s	1.1 s	1.1 s	Model
research	1	1.1 s	5.6 s	4.5 s	Tool
answer	1	5.6 s	8.4 s	2.8 s	Model
web.search	2	1.2 s	4.3 s	3.1 s	Tool
docs.query	2	4.3 s	5.5 s	1.2 s	Retrieval
draft	2	5.7 s	7.6 s	1.9 s	Model
check	2	7.6 s	8.3 s	0.7 s	Model
fetch ×6	3	1.3 s	3.4 s	2.1 s	Tool
queue	3	3.4 s	4.2 s	0.8 s	Wait
rerank	3	4.6 s	5.4 s	0.8 s	Retrieval
cite	3	6.5 s	7.5 s	1.0 s	Retrieval
parse	4	1.4 s	2.6 s	1.2 s	Tool

074 · Flame graphPart of a whole · AI data

Bank matching
Bank feed	Ledger	State
Stripe · $12,400	Stripe · $12,400	Matched
Acme corp · $4,820	Inv-4471 · $4,820	Matched
Aws · $2,310	Aws sep · $2,310	Matched
Payroll · $48,000	Payroll · $48,000	Matched
Refund · $129	Credit · $129	Matched
Nordic · $9,100	Inv-4480 · $9,000	Amount differs
Bank fee · $35		No match
	Tools · $640	No match

Bank matching
Bank feed	Ledger	State
Stripe · $12,400	Stripe · $12,400	Matched
Acme corp · $4,820	Inv-4471 · $4,820	Matched
Aws · $2,310	Aws sep · $2,310	Matched
Payroll · $48,000	Payroll · $48,000	Matched
Refund · $129	Credit · $129	Matched
Nordic · $9,100	Inv-4480 · $9,000	Amount differs
Bank fee · $35		No match
	Tools · $640	No match

075 · ReconciliationFlow between steps · Fintech data

Outbound loads
Truck Destination Load Ambient pallets Chilled pallets Fragile pallets Returns pallets
T1 Hamburg 92% 8 4 2 1
T2 Bremen 88% 7 2 2 2
T3 Kiel 81% 7 2 1 1
Outbound loads
Truck Destination Load Ambient pallets Chilled pallets Fragile pallets Returns pallets
T1 Hamburg 92% 8 4 2 1
T2 Bremen 88% 7 2 2 2
T3 Kiel 81% 7 2 1 1
076 · Load planSpace and place · Logistics data
Stake concentration
Holders (smallest first) Stake held Equal stake
10% 0% 10%
20% 0% 20%
30% 2% 30%
40% 4% 40%
50% 9% 50%
60% 18% 60%
70% 30% 70%
80% 47% 80%
90% 70% 90%
100% 100% 100%
Stake concentration
Holders (smallest first) Stake held Equal stake
10% 0% 10%
20% 0% 20%
30% 2% 30%
40% 4% 40%
50% 9% 50%
60% 18% 60%
70% 30% 70%
80% 47% 80%
90% 70% 90%
100% 100% 100%
077 · Lorenz curveDistribution · Crypto data
Fleet charge
Van Charge Range Charging
Van 21 92% 210 km No
Van 22 18% 38 km No
Van 23 79% 180 km No
Van 24 71% 162 km Yes
Van 25 95% 220 km No
Van 26 23% 50 km Yes
Van 27 96% 224 km No
Van 28 94% 216 km No
Fleet charge
Van Charge Range Charging
Van 21 92% 210 km No
Van 22 18% 38 km No
Van 23 79% 180 km No
Van 24 71% 162 km Yes
Van 25 95% 220 km No
Van 26 23% 50 km Yes
Van 27 96% 224 km No
Van 28 94% 216 km No
078 · Battery cellsCompare items · Logistics data
Onboarding milestones
Step Day Reached
Signed up Day 0 100%
Invited Day 1 72%
Connected Day 2 58%
Report Day 4 44%
Shared Day 7 31%
Paid Day 14 18%
Onboarding milestones
Step Day Reached
Signed up Day 0 100%
Invited Day 1 72%
Connected Day 2 58%
Report Day 4 44%
Shared Day 7 31%
Paid Day 14 18%
079 · Milestone trackSchedule and status · SaaS data

Drawdown from peak
Period	Drawdown
1	−1.81%
2	−0.16%
3	−0.43%
4	−0.70%
5	−1.42%
6	−1.34%
7	0.00%
8	−1.46%
9	−3.36%
10	−6.49%
11	−6.68%
12	−7.28%
13	−6.65%
14	−5.74%
15	−8.88%
16	−8.74%
17	−10.30%
18	−9.51%
19	−12.36%
20	−14.04%
21	−15.48%
22	−16.47%
23	−15.74%
24	−13.64%
25	−11.23%
26	−11.44%
27	−10.70%
28	−10.34%
29	−10.65%
30	−10.80%
31	−9.57%
32	−10.20%
33	−8.99%
34	−5.82%
35	−6.47%
36	−4.62%
37	−3.42%
38	−0.76%
39	0.00%
40	0.00%
41	−0.81%
42	−1.86%
43	−2.75%
44	−4.18%
45	−6.36%
46	−4.13%
47	−6.01%
48	−4.82%
49	−3.88%
50	−2.85%
51	−1.77%
52	−1.72%
53	−3.52%
54	−1.93%
55	−2.28%
56	−0.81%
57	−2.81%
58	−1.46%
59	−3.21%
60	−3.76%

Drawdown from peak
Period	Drawdown
1	−1.81%
2	−0.16%
3	−0.43%
4	−0.70%
5	−1.42%
6	−1.34%
7	0.00%
8	−1.46%
9	−3.36%
10	−6.49%
11	−6.68%
12	−7.28%
13	−6.65%
14	−5.74%
15	−8.88%
16	−8.74%
17	−10.30%
18	−9.51%
19	−12.36%
20	−14.04%
21	−15.48%
22	−16.47%
23	−15.74%
24	−13.64%
25	−11.23%
26	−11.44%
27	−10.70%
28	−10.34%
29	−10.65%
30	−10.80%
31	−9.57%
32	−10.20%
33	−8.99%
34	−5.82%
35	−6.47%
36	−4.62%
37	−3.42%
38	−0.76%
39	0.00%
40	0.00%
41	−0.81%
42	−1.86%
43	−2.75%
44	−4.18%
45	−6.36%
46	−4.13%
47	−6.01%
48	−4.82%
49	−3.88%
50	−2.85%
51	−1.77%
52	−1.72%
53	−3.52%
54	−1.93%
55	−2.28%
56	−0.81%
57	−2.81%
58	−1.46%
59	−3.21%
60	−3.76%

080 · Underwater drawdownChange over time · Fintech data

Context window use
Request System (K) History (K) Tools (K) Docs (K) Output (K) Total (K)
REQ 4812 3 42 12 26 8 91
REQ 4809 3 18 8 14 5 48
REQ 4801 3 61 14 30 9 117
REQ 4795 3 8 4 40 6 61
Context window use
Request System (K) History (K) Tools (K) Docs (K) Output (K) Total (K)
REQ 4812 3 42 12 26 8 91
REQ 4809 3 18 8 14 5 48
REQ 4801 3 61 14 30 9 117
REQ 4795 3 8 4 40 6 61
081 · Context rulerPart of a whole · AI data
Customers by age
Age New (%) Returning (%)
18–24 14 8
25–34 28 24
35–44 24 27
45–54 17 20
55–64 11 14
65+ 6 7
Customers by age
Age New (%) Returning (%)
18–24 14 8
25–34 28 24
35–44 24 27
45–54 17 20
55–64 11 14
65+ 6 7
082 · Age pyramidDistribution · E-commerce data

Deal pipeline
Stage	Value	Age (days)	State
LEAD	$24K	5	Fresh
LEAD	$18K	12	Fresh
LEAD	$30K	8	Fresh
LEAD	$12K	30	Aging 21+ d
LEAD	$20K	3	Fresh
LEAD	$16K	50	Stuck 45+ d
QUALIFIED	$40K	10	Fresh
QUALIFIED	$22K	25	Aging 21+ d
QUALIFIED	$35K	6	Fresh
QUALIFIED	$18K	48	Stuck 45+ d
DEMO	$60K	14	Fresh
DEMO	$28K	22	Aging 21+ d
DEMO	$45K	9	Fresh
PROPOSAL	$85K	18	Fresh
PROPOSAL	$40K	33	Aging 21+ d
WON	$70K	2	Fresh
WON	$52K	4	Fresh

Deal pipeline
Stage	Value	Age (days)	State
LEAD	$24K	5	Fresh
LEAD	$18K	12	Fresh
LEAD	$30K	8	Fresh
LEAD	$12K	30	Aging 21+ d
LEAD	$20K	3	Fresh
LEAD	$16K	50	Stuck 45+ d
QUALIFIED	$40K	10	Fresh
QUALIFIED	$22K	25	Aging 21+ d
QUALIFIED	$35K	6	Fresh
QUALIFIED	$18K	48	Stuck 45+ d
DEMO	$60K	14	Fresh
DEMO	$28K	22	Aging 21+ d
DEMO	$45K	9	Fresh
PROPOSAL	$85K	18	Fresh
PROPOSAL	$40K	33	Aging 21+ d
WON	$70K	2	Fresh
WON	$52K	4	Fresh

083 · Deal pipelineFlow between steps · SaaS data

Stock level
Day	Units	Delivery
11 Aug	862
12 Aug	804
13 Aug	760
14 Aug	717
15 Aug	674
16 Aug	614
17 Aug	552
18 Aug	484
19 Aug	445
20 Aug	386
21 Aug	346
22 Aug	306
23 Aug	259
24 Aug	197
25 Aug	149
26 Aug	84
27 Aug	735	yes
28 Aug	678
29 Aug	638
30 Aug	588
31 Aug	526
1 Sept	469
2 Sept	410
3 Sept	361
4 Sept	307
5 Sept	249
6 Sept	198
7 Sept	131
8 Sept	72
9 Sept	710	yes
10 Sept	650
11 Sept	565
12 Sept	494
13 Sept	406
14 Sept	324
15 Sept	243
16 Sept	173
17 Sept	102
18 Sept	31
19 Sept	0
20 Sept	0
21 Sept	0
22 Sept	646	yes
23 Sept	607
24 Sept	546
25 Sept	481
26 Sept	438
27 Sept	380
28 Sept	339
29 Sept	291
30 Sept	250
1 Oct	191
2 Oct	145
3 Oct	799	yes
4 Oct	758
5 Oct	705
6 Oct	655
7 Oct	596
8 Oct	539
9 Oct	474

Stock level
Day	Units	Delivery
11 Aug	862
12 Aug	804
13 Aug	760
14 Aug	717
15 Aug	674
16 Aug	614
17 Aug	552
18 Aug	484
19 Aug	445
20 Aug	386
21 Aug	346
22 Aug	306
23 Aug	259
24 Aug	197
25 Aug	149
26 Aug	84
27 Aug	735	yes
28 Aug	678
29 Aug	638
30 Aug	588
31 Aug	526
1 Sept	469
2 Sept	410
3 Sept	361
4 Sept	307
5 Sept	249
6 Sept	198
7 Sept	131
8 Sept	72
9 Sept	710	yes
10 Sept	650
11 Sept	565
12 Sept	494
13 Sept	406
14 Sept	324
15 Sept	243
16 Sept	173
17 Sept	102
18 Sept	31
19 Sept	0
20 Sept	0
21 Sept	0
22 Sept	646	yes
23 Sept	607
24 Sept	546
25 Sept	481
26 Sept	438
27 Sept	380
28 Sept	339
29 Sept	291
30 Sept	250
1 Oct	191
2 Oct	145
3 Oct	799	yes
4 Oct	758
5 Oct	705
6 Oct	655
7 Oct	596
8 Oct	539
9 Oct	474

084 · Stock sawtoothChange over time · E-commerce data

Asset correlation
BTC ETH SOL XRP ADA TON
BTC 1.00
ETH 0.86 1.00
SOL 0.74 0.79 1.00
XRP 0.52 0.48 0.41 1.00
ADA 0.63 0.58 0.61 0.37 1.00
TON 0.12 0.08 −0.06 0.15 −0.11 1.00
Asset correlation
BTC ETH SOL XRP ADA TON
BTC 1.00
ETH 0.86 1.00
SOL 0.74 0.79 1.00
XRP 0.52 0.48 0.41 1.00
ADA 0.63 0.58 0.61 0.37 1.00
TON 0.12 0.08 −0.06 0.15 −0.11 1.00
085 · Correlation triangleRelationship · Crypto data

API calls by hour
Day	00	01	02	03	04	05	06	07	08	09	10	11	12	13	14	15	16	17	18	19	20	21	22	23
MON	9	7	5	5	7	10	31	52	89	113	102	78	73	69	111	103	80	59	54	36	25	21	16	13
TUE	9	7	4	4	7	14	35	62	78	98	115	93	71	74	107	104	91	84	45	37	29	22	22	13
WED	9	6	4	4	7	10	31	49	94	85	116	94	71	76	85	100	78	72	59	37	32	26	20	14
THU	9	5	4	4	6	14	31	55	90	91	82	74	79	72	95	108	87	74	52	43	27	21	21	14
FRI	9	7	4	3	5	12	30	54	74	77	102	92	82	76	100	107	89	62	55	39	30	28	18	14
SAT	3	2	1	1	2	4	9	20	25	36	30	38	28	26	30	34	26	23	18	15	12	10	7	4
SUN	4	2	1	1	2	4	11	15	30	28	34	38	30	27	28	35	35	25	18	12	12	9	5	4

API calls by hour
Day	00	01	02	03	04	05	06	07	08	09	10	11	12	13	14	15	16	17	18	19	20	21	22	23
MON	9	7	5	5	7	10	31	52	89	113	102	78	73	69	111	103	80	59	54	36	25	21	16	13
TUE	9	7	4	4	7	14	35	62	78	98	115	93	71	74	107	104	91	84	45	37	29	22	22	13
WED	9	6	4	4	7	10	31	49	94	85	116	94	71	76	85	100	78	72	59	37	32	26	20	14
THU	9	5	4	4	6	14	31	55	90	91	82	74	79	72	95	108	87	74	52	43	27	21	21	14
FRI	9	7	4	3	5	12	30	54	74	77	102	92	82	76	100	107	89	62	55	39	30	28	18	14
SAT	3	2	1	1	2	4	9	20	25	36	30	38	28	26	30	34	26	23	18	15	12	10	7	4
SUN	4	2	1	1	2	4	11	15	30	28	34	38	30	27	28	35	35	25	18	12	12	9	5	4

086 · Punch cardSchedule and status · SaaS data

Customer bowtie
Stage Side Value
VISITS Acquire 48K
TRIALS Acquire 6.2K
SQL Acquire 1.9K
WON Win 420
ONBOARD Grow $61K
ADOPT Grow $88K
EXPAND Grow $124K
Customer bowtie
Stage Side Value
VISITS Acquire 48K
TRIALS Acquire 6.2K
SQL Acquire 1.9K
WON Win 420
ONBOARD Grow $61K
ADOPT Grow $88K
EXPAND Grow $124K
087 · BowtieFlow between steps · SaaS data
Drive time zones
Ring (min) Stops Late
15 6 0
30 22 0
45 15 0
60 15 11
Drive time zones
Ring (min) Stops Late
15 6 0
30 22 0
45 15 0
60 15 11
088 · Isochrone ringsSpace and place · Logistics data
Allocation drift
Asset Now (%) Target (%) Drift (pt)
US equity 38 35 +3.0
Intl equity 14 18 −4.0
Bonds 26 28 −2.0
Real estate 8 7 +1.0
Gold 6 5 +1.0
Cash 8 7 +1.0
Allocation drift
Asset Now (%) Target (%) Drift (pt)
US equity 38 35 +3.0
Intl equity 14 18 −4.0
Bonds 26 28 −2.0
Real estate 8 7 +1.0
Gold 6 5 +1.0
Cash 8 7 +1.0
089 · Drift arrowsSpace and place · Fintech data

BTC perp funding
Day	Funding (%)	BTC ($K)
12 Jul	0.0031	58.3
13 Jul	0.0048	59
14 Jul	0.0115	59.15
15 Jul	0.0074	59.71
16 Jul	0.0162	60.39
17 Jul	0.0132	59.87
18 Jul	0.0118	59.52
19 Jul	0.0206	60.18
20 Jul	0.0218	60.79
21 Jul	0.0178	60.76
22 Jul	0.0214	60.5
23 Jul	0.0251	61.17
24 Jul	0.0212	61.73
25 Jul	0.0146	61.95
26 Jul	0.0152	61.48
27 Jul	0.0224	62.07
28 Jul	0.0141	61.73
29 Jul	0.0148	61.51
30 Jul	0.0149	60.92
31 Jul	0.0144	60.91
1 Aug	0.0135	60.37
2 Aug	0.017	60.39
3 Aug	0.0139	60.06
4 Aug	0.0182	59.9
5 Aug	0.0096	60.34
6 Aug	0.0162	59.77
7 Aug	0.0129	59.87
8 Aug	0.0149	59.63
9 Aug	0.0136	60.2
10 Aug	0.0026	59.77
11 Aug	0.0039	60.37
12 Aug	0.003	60.64
13 Aug	0.0042	60.16
14 Aug	0.0039	59.81
15 Aug	0.0029	60.05
16 Aug	0.0041	60.64
17 Aug	-0.0068	60.24
18 Aug	-0.0026	59.76
19 Aug	0.002	59.33
20 Aug	0.0019	59.6
21 Aug	0.0005	59.93
22 Aug	-0.0068	59.33
23 Aug	-0.0045	59.57
24 Aug	-0.001	60.28
25 Aug	-0.0072	60.95
26 Aug	-0.0071	61.03
27 Aug	0.0003	60.62
28 Aug	-0.0052	61.17
29 Aug	0.0032	61
30 Aug	0.0037	61.06
31 Aug	0.005	61.53
1 Sept	0.0068	61.9
2 Sept	0.0007	62.12
3 Sept	0.0018	62.06
4 Sept	0.0089	62.49
5 Sept	0.0087	62.8
6 Sept	0.011	62.88
7 Sept	0.0099	63.29
8 Sept	0.0073	62.72
9 Sept	0.0124	62.54
10 Sept	0.0107	62.87
11 Sept	-0.026	62.83
12 Sept	-0.0198	62.34
13 Sept	-0.0302	61.76
14 Sept	-0.0187	61.54
15 Sept	-0.0215	60.51
16 Sept	-0.0256	59.63
17 Sept	-0.0225	59.05
18 Sept	-0.0281	58.5
19 Sept	-0.0358	58
20 Sept	0.0222	58.7
21 Sept	0.0222	59.07
22 Sept	0.0187	58.67
23 Sept	0.0224	59.36
24 Sept	0.0134	59.76
25 Sept	0.0227	60.01
26 Sept	0.0168	59.86
27 Sept	0.0173	59.23
28 Sept	0.0107	59.37
29 Sept	0.0131	59.07
30 Sept	0.016	59.63
1 Oct	0.0101	59.58
2 Oct	0.0073	60.05
3 Oct	0.008	59.78
4 Oct	0.0091	59.91
5 Oct	0.01	60.44
6 Oct	0.0055	60.41
7 Oct	0.0017	59.96
8 Oct	0.0014	59.37
9 Oct	0.008	59.93

BTC perp funding
Day	Funding (%)	BTC ($K)
12 Jul	0.0031	58.3
13 Jul	0.0048	59
14 Jul	0.0115	59.15
15 Jul	0.0074	59.71
16 Jul	0.0162	60.39
17 Jul	0.0132	59.87
18 Jul	0.0118	59.52
19 Jul	0.0206	60.18
20 Jul	0.0218	60.79
21 Jul	0.0178	60.76
22 Jul	0.0214	60.5
23 Jul	0.0251	61.17
24 Jul	0.0212	61.73
25 Jul	0.0146	61.95
26 Jul	0.0152	61.48
27 Jul	0.0224	62.07
28 Jul	0.0141	61.73
29 Jul	0.0148	61.51
30 Jul	0.0149	60.92
31 Jul	0.0144	60.91
1 Aug	0.0135	60.37
2 Aug	0.017	60.39
3 Aug	0.0139	60.06
4 Aug	0.0182	59.9
5 Aug	0.0096	60.34
6 Aug	0.0162	59.77
7 Aug	0.0129	59.87
8 Aug	0.0149	59.63
9 Aug	0.0136	60.2
10 Aug	0.0026	59.77
11 Aug	0.0039	60.37
12 Aug	0.003	60.64
13 Aug	0.0042	60.16
14 Aug	0.0039	59.81
15 Aug	0.0029	60.05
16 Aug	0.0041	60.64
17 Aug	-0.0068	60.24
18 Aug	-0.0026	59.76
19 Aug	0.002	59.33
20 Aug	0.0019	59.6
21 Aug	0.0005	59.93
22 Aug	-0.0068	59.33
23 Aug	-0.0045	59.57
24 Aug	-0.001	60.28
25 Aug	-0.0072	60.95
26 Aug	-0.0071	61.03
27 Aug	0.0003	60.62
28 Aug	-0.0052	61.17
29 Aug	0.0032	61
30 Aug	0.0037	61.06
31 Aug	0.005	61.53
1 Sept	0.0068	61.9
2 Sept	0.0007	62.12
3 Sept	0.0018	62.06
4 Sept	0.0089	62.49
5 Sept	0.0087	62.8
6 Sept	0.011	62.88
7 Sept	0.0099	63.29
8 Sept	0.0073	62.72
9 Sept	0.0124	62.54
10 Sept	0.0107	62.87
11 Sept	-0.026	62.83
12 Sept	-0.0198	62.34
13 Sept	-0.0302	61.76
14 Sept	-0.0187	61.54
15 Sept	-0.0215	60.51
16 Sept	-0.0256	59.63
17 Sept	-0.0225	59.05
18 Sept	-0.0281	58.5
19 Sept	-0.0358	58
20 Sept	0.0222	58.7
21 Sept	0.0222	59.07
22 Sept	0.0187	58.67
23 Sept	0.0224	59.36
24 Sept	0.0134	59.76
25 Sept	0.0227	60.01
26 Sept	0.0168	59.86
27 Sept	0.0173	59.23
28 Sept	0.0107	59.37
29 Sept	0.0131	59.07
30 Sept	0.016	59.63
1 Oct	0.0101	59.58
2 Oct	0.0073	60.05
3 Oct	0.008	59.78
4 Oct	0.0091	59.91
5 Oct	0.01	60.44
6 Oct	0.0055	60.41
7 Oct	0.0017	59.96
8 Oct	0.0014	59.37
9 Oct	0.008	59.93

090 · Funding stripesChange over time · Crypto data

Support ticket topics
Topic Tickets shown
Billing 22
Login and sso 26
Integrations 18
Bugs 16
Feature asks 12
Support ticket topics
Topic Tickets shown
Billing 22
Login and sso 26
Integrations 18
Bugs 16
Feature asks 12
091 · Cluster mapRelationship · AI data

Driver hours today
Driver	From	To	Activity
R. Silva	05:30	06:00	Other work
R. Silva	06:00	10:30	Driving
R. Silva	10:30	11:15	Rest
R. Silva	11:15	14:45	Driving
R. Silva	14:45	15:30	Other work
T. Brandt	05:00	06:00	Other work
T. Brandt	06:00	09:00	Driving
T. Brandt	09:00	09:45	Rest
T. Brandt	09:45	13:15	Driving
T. Brandt	13:15	14:00	Available
M. Kaya	06:30	07:00	Other work
M. Kaya	07:00	11:30	Driving
M. Kaya	11:30	12:15	Rest
M. Kaya	12:15	16:15	Driving
M. Kaya	16:15	17:00	Other work

Driver hours today
Driver	From	To	Activity
R. Silva	05:30	06:00	Other work
R. Silva	06:00	10:30	Driving
R. Silva	10:30	11:15	Rest
R. Silva	11:15	14:45	Driving
R. Silva	14:45	15:30	Other work
T. Brandt	05:00	06:00	Other work
T. Brandt	06:00	09:00	Driving
T. Brandt	09:00	09:45	Rest
T. Brandt	09:45	13:15	Driving
T. Brandt	13:15	14:00	Available
M. Kaya	06:30	07:00	Other work
M. Kaya	07:00	11:30	Driving
M. Kaya	11:30	12:15	Rest
M. Kaya	12:15	16:15	Driving
M. Kaya	16:15	17:00	Other work

092 · TachographSchedule and status · Logistics data

Review ratings
Rating Reviews
5 star 1412
4 star 612
3 star 214
2 star 98
1 star 82
Review ratings
Rating Reviews
5 star 1412
4 star 612
3 star 214
2 star 98
1 star 82
093 · Star ratingsDistribution · E-commerce data
Network hashrate, 12 months
Month EH/s
Nov 610
Dec 628
Jan 655
Feb 640
Mar 690
Apr 720
May 705
Jun 748
Jul 770
Aug 762
Sep 795
Oct 812
Network hashrate, 12 months
Month EH/s
Nov 610
Dec 628
Jan 655
Feb 640
Mar 690
Apr 720
May 705
Jun 748
Jul 770
Aug 762
Sep 795
Oct 812
094 · Radial lollipopChange over time · Crypto data
Model trade space
Model Quality Speed Low cost
Atlas 3 50% 20% 30%
Kite 2 Pro 30% 42% 28%
Orion XL 72% 10% 18%
Vega 1.5 14% 50% 36%
Nova 22% 22% 56%
Model trade space
Model Quality Speed Low cost
Atlas 3 50% 20% 30%
Kite 2 Pro 30% 42% 28%
Orion XL 72% 10% 18%
Vega 1.5 14% 50% 36%
Nova 22% 22% 56%
095 · TernaryRelationship · AI data
Shipment 4471 journey
Event Date Status
Picked up OCT 1 Done
Sailed OCT 2 Done
At port OCT 8 Done
Cleared OCT 10 Done
Out for delivery OCT 13 Expected
Delivered OCT 14 Expected
Shipment 4471 journey
Event Date Status
Picked up OCT 1 Done
Sailed OCT 2 Done
At port OCT 8 Done
Cleared OCT 10 Done
Out for delivery OCT 13 Expected
Delivered OCT 14 Expected
096 · Shipment journeyFlow between steps · Logistics data
Orders by channel
Channel Orders
Web 1840
App 1260
Marketplace 760
Retail 310
Orders by channel
Channel Orders
Web 1840
App 1260
Marketplace 760
Retail 310
097 · IsotypePart of a whole · E-commerce data
Cash conversion cycle, Q3 2026
Component Days
Inventory 46
Receivables 38
Payables 43
Cash cycle 41
Cash conversion cycle, Q3 2026
Component Days
Inventory 46
Receivables 38
Payables 43
Cash cycle 41
098 · Cash cycle ringFlow between steps · Fintech data

Release eval gate v4.2
Model	Math	Code	LAW	MED	SQL	VIS	Tool	Safe
Atlas 3	Pass	Pass	Pass	Pass	Pass	Pass	Pass	Pass
Kite 2 Pro	Pass	Pass	Fail	Pass	Pass	Flaky	Pass	Pass
Orion XL	Pass	Pass	Pass	Pass	Fail	Pass	Pass	Pass
Vega 1.5	Pass	Fail	Flaky	Pass	Pass	Pass	Pass	Pass
Nova	Pass	Pass	Pass	Pass	Pass	Fail	Pass	Pass

Release eval gate v4.2
Model	Math	Code	LAW	MED	SQL	VIS	Tool	Safe
Atlas 3	Pass	Pass	Pass	Pass	Pass	Pass	Pass	Pass
Kite 2 Pro	Pass	Pass	Fail	Pass	Pass	Flaky	Pass	Pass
Orion XL	Pass	Pass	Pass	Pass	Fail	Pass	Pass	Pass
Vega 1.5	Pass	Fail	Flaky	Pass	Pass	Pass	Pass	Pass
Nova	Pass	Pass	Pass	Pass	Pass	Fail	Pass	Pass

099 · Pass/fail gridSchedule and status · AI data

Daily cash in and out, September
Day	In ($K)	Out ($K)
Sep 1	48	46
Sep 2	72	19
Sep 3	30	22
Sep 4	61	29
Sep 5	0	7
Sep 6	0	5
Sep 7	71	49
Sep 8	78	24
Sep 9	60	33
Sep 10	45	22
Sep 11	20	18
Sep 12	0	2
Sep 13	0	7
Sep 14	54	25
Sep 15	164	26
Sep 16	24	25
Sep 17	58	47
Sep 18	35	57
Sep 19	0	3
Sep 20	0	0
Sep 21	65	23
Sep 22	20	54
Sep 23	46	43
Sep 24	20	61
Sep 25	59	50
Sep 26	0	6
Sep 27	0	4
Sep 28	73	50
Sep 29	78	31
Sep 30	74	178

Daily cash in and out, September
Day	In ($K)	Out ($K)
Sep 1	48	46
Sep 2	72	19
Sep 3	30	22
Sep 4	61	29
Sep 5	0	7
Sep 6	0	5
Sep 7	71	49
Sep 8	78	24
Sep 9	60	33
Sep 10	45	22
Sep 11	20	18
Sep 12	0	2
Sep 13	0	7
Sep 14	54	25
Sep 15	164	26
Sep 16	24	25
Sep 17	58	47
Sep 18	35	57
Sep 19	0	3
Sep 20	0	0
Sep 21	65	23
Sep 22	20	54
Sep 23	46	43
Sep 24	20	61
Sep 25	59	50
Sep 26	0	6
Sep 27	0	4
Sep 28	73	50
Sep 29	78	31
Sep 30	74	178

100 · Split calendarSchedule and status · Fintech data

The other 32 come with a plan

The newest types, the Signal collection, widgets and overlays, the Figma file and the sector packs. Paid once.

See plans Get Chartory

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Source	Purchased	Abandoned cart	Browsed	Bounced
Search	1,100	1,200	1,200	700
Social	300	600	900	800
Email	500	500	600	300
Direct	200	300	400	400

Stage	Count	Step conversion
Site visits	48.2K
Signups	12.4K	26%
Activated	5.1K	41%
Paid	1.2K	24%
Annual	0.4K	33%

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Rail	Fastest (days)	Slowest (days)	Sample payouts
Instant card	0.1	0.4	9
SEPA	0.8	1.6	9
ACH	1.2	2.6	9
Wire	0.5	1.4	9
Cross-border	2.2	4.8	9
Cheque	4.0	7.5	9

Tool	Calls	Share
Search	12.4K	32%
Code run	8.1K	21%
Browser	6.2K	16%
SQL	5.6K	15%
Email	3.4K	9%
Files	2.7K	7%

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Month	Starter	Team	Business
JUL	420	260	110
AUG	460	300	120
SEP	510	290	150
OCT	480	340	140
NOV	540	360	170
DEC	570	410	190

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Card declined	Insufficient funds	Fraud block	Total
W27	304	166	82	552
W28	296	161	81	538
W29	298	162	81	541
W30	279	152	76	507
W31	269	147	73	489
W32	262	143	71	476
W33	249	136	67	452
W34	237	129	65	431
W35	219	119	60	398
W36	188	103	51	342
W37	171	93	47	311
W38	152	83	41	276
W39	136	74	37	247
W40	118	64	32	214

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Week	Inflow ($K)	Outflow ($K)
W29	220	180
W30	260	210
W31	240	230
W32	300	200
W33	280	240
W34	330	220
W35	310	260
W36	290	250
W37	360	230
W38	340	270
W39	380	240
W40	350	260

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Month	Road (K)	Sea (K)	Rail (K)	Air (K)
Jan	14	9	6	2
Feb	13	8	6	2
Mar	16	10	7	3
Apr	19	12	8	3
May	22	15	8	4
Jun	24	17	7	4
Jul	23	19	6	4
Aug	21	18	6	4
Sep	22	15	8	5
Oct	23	10	8	6
Nov	30	10	9	10
Dec	27	9	8	12

Step	Change	Balance
Open		$1.82M
Sales	+$1.24M	$3.06M
Refund	−$0.09M	$2.97M
Staff	−$0.71M	$2.26M
Cloud	−$0.23M	$2.03M
Tax	−$0.12M	$1.91M
Close		$1.91M

Model	Min (ms)	Q1 (ms)	Median (ms)	Q3 (ms)	Max (ms)	Outliers (ms)
Atlas 3	180	260	320	410	620	760
Kite 2	150	210	260	330	480
Orion	320	480	590	760	1040	1150
Vega	120	170	200	240	330	420
Nova	210	300	380	520	880