Word Analysis
Data for 2024
svc
2024
18,929
119,924,722,855
Top Subreddits (2024)
Year
2024
Total Word Occurrences
18,929
Total Words in Reddit
119,924,722,855
Rate in Reddit (per 1M words)
0.2
Rank↕ | Subreddit↕ | Occurrences in Subreddit | Total Words in Subreddit | Rate in Subreddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|
| #1 | r/Everglow | 130 | 135,655 | 958.3 | 6071.40 |
| #2 | r/BorrowerDefense | 1,091 | 1,410,015 | 773.8 | 4902.10 |
| #3 | r/SNK | 57 | 98,576 | 578.2 | 3663.40 |
| #4 | r/ArgoCD | 32 | 77,847 | 411.1 | 2604.29 |
| #5 | r/openshift | 42 | 218,178 | 192.5 | 1219.61 |
| #6 | r/Assembly_language | 48 | 274,010 | 175.2 | 1109.83 |
| #7 | r/DaniMarina | 1,133 | 6,722,207 | 168.5 | 1067.82 |
| #8 | r/grafana | 37 | 220,037 | 168.2 | 1065.34 |
| #9 | r/asm | 41 | 252,368 | 162.5 | 1029.27 |
| #10 | r/kof | 215 | 1,385,655 | 155.2 | 983.02 |
| #11 | r/DaniMarinaSnarking | 228 | 1,506,156 | 151.4 | 959.06 |
| #12 | r/kubernetes | 459 | 3,454,380 | 132.9 | 841.83 |
| #13 | r/MapleSEA | 51 | 395,413 | 129.0 | 817.15 |
| #14 | r/ffxivraf | 118 | 927,882 | 127.2 | 805.69 |
| #15 | r/mongodb | 37 | 304,059 | 121.7 | 770.95 |
| #16 | r/Splunk | 40 | 429,680 | 93.1 | 589.79 |
| #17 | r/neogeo | 32 | 354,868 | 90.2 | 571.30 |
| #18 | r/Juniper | 65 | 725,123 | 89.6 | 567.91 |
| #19 | r/subwoofer | 94 | 1,216,282 | 77.3 | 489.64 |
| #20 | r/illnessfakers | 340 | 4,544,595 | 74.8 | 473.99 |
| #21 | r/learnrust | 37 | 593,582 | 62.3 | 394.91 |
| #22 | r/NationalServiceSG | 150 | 2,684,288 | 55.9 | 354.03 |
| #23 | r/SWlegion | 111 | 2,107,847 | 52.7 | 333.63 |
| #24 | r/walkman | 39 | 762,621 | 51.1 | 323.99 |
| #25 | r/MarvelCrisisProtocol | 47 | 928,024 | 50.6 | 320.86 |
| #26 | r/CloudFlare | 46 | 973,597 | 47.2 | 299.34 |
| #27 | r/Fighters | 529 | 11,336,891 | 46.7 | 295.63 |
| #28 | r/koreatravel | 250 | 6,075,382 | 41.1 | 260.70 |
| #29 | r/FordRaptor | 63 | 1,536,668 | 41.0 | 259.74 |
| #30 | r/GeekSquad | 48 | 1,216,554 | 39.5 | 249.97 |
| #31 | r/exchangeserver | 31 | 877,469 | 35.3 | 223.83 |
| #32 | r/Cello | 63 | 1,977,160 | 31.9 | 201.87 |
| #33 | r/CarAV | 353 | 12,002,319 | 29.4 | 186.33 |
| #34 | r/AfroHouseUnreleased | 34 | 1,233,416 | 27.6 | 174.64 |
| #35 | r/lymphoma | 85 | 3,303,354 | 25.7 | 163.02 |
| #36 | r/indianbikes | 412 | 19,661,812 | 21.0 | 132.76 |
| #37 | r/TjMaxx | 55 | 3,138,028 | 17.5 | 111.04 |
| #38 | r/royalenfield | 38 | 2,407,572 | 15.8 | 100.00 |
| #39 | r/SCCM | 31 | 2,007,540 | 15.4 | 97.83 |
| #40 | r/NSCollectors | 40 | 2,617,710 | 15.3 | 96.81 |
| #41 | r/PowerShell | 59 | 4,254,919 | 13.9 | 87.85 |
| #42 | r/truenas | 43 | 3,457,268 | 12.4 | 78.80 |
| #43 | r/Kappachino | 79 | 6,786,345 | 11.6 | 73.75 |
| #44 | r/docker | 30 | 2,586,268 | 11.6 | 73.49 |
| #45 | r/golang | 78 | 6,965,305 | 11.2 | 70.95 |
| #46 | r/CanadianForces | 53 | 5,334,534 | 9.9 | 62.94 |
| #47 | r/vmware | 37 | 4,110,444 | 9.0 | 57.03 |
| #48 | r/learnmachinelearning | 45 | 5,351,975 | 8.4 | 53.27 |
| #49 | r/rust | 98 | 11,796,853 | 8.3 | 52.63 |
| #50 | r/Radiology | 49 | 5,952,165 | 8.2 | 52.16 |
Showing 50 of 50 subreddits