The Tec N Trend 100October 4, 2026

The 100

ChatGPT is the most-read technology at 58k readers a day; Superintelligence climbed 76 places in 30 days. Superintelligence rose from No. 97 to No. 21. Cursor fell furthest, from No. 11 to No. 32. 4 entries are new to the 100 this month. Ranked by English Wikipedia readers on a typical day (median) over 28 days.

Rank by English Wikipedia readers on a typical day (28-day median), through October 3, 2026. Momentum: a typical day last week against the four weeks before. Arrows: change against 7 days earlier.

1	=	ChatGPT	AI models & apps	58k	0.84×	1	1
2	=	Hugging Face	AI building blocks	5,599	0.58×	13	48
3	=	Claude	AI models & apps	5,467	1.09×	2	125
4	=	Large language model	AI building blocks	3,912	1.01×	3	5
5	▲1	Nintendo Switch 2	Devices	3,131	0.82×	4	3
6	▲2	DeepSeek	AI models & apps	2,902	1.04×	12	6
7	=	AI slop	AI building blocks	2,834	1.05×	5	13
8	▼3	AGI	AI building blocks	2,591	0.5×	23	18
9	=	Bitcoin	Security & money	2,565	0.98×	6	4
10	▲1	Perplexity	AI models & apps	2,444	0.9×	8	2
11	▲7	Rust	Web & software	2,202	1.55×	16	23
12	▲2	Starlink	Space	2,081	1.25×	7	7
13	▲2	Wi-Fi 7	Web & software	2,045	1.95×	10	34
14	▼1	Data centers	Chips & compute	1,989	1.03×	9	49
15	▲1	Generative AI	AI building blocks	1,929	0.95×	21	117
16	▲1	Grok	AI models & apps	1,885	0.87×	17	10
17	▼7	Tesla Cybercab	Robots & mobility	1,847	0.56×	28	108
18	▲2	Quantum computing	Chips & compute	1,835	0.97×	14	9
19	=	Waymo	Robots & mobility	1,827	0.84×	18	22
20	▼8	Roman Space Telescope	Space	1,717	0.54×	27	96
21	▲17	Superintelligence	AI building blocks	1,690	2.5×	97	88
22	▲3	Vibe coding	AI building blocks	1,644	1.17×	25	8
23	▲3	Model Context Protocol	AI building blocks	1,543	1.08×	24	19
24	▼1	Transformer	AI building blocks	1,541	1×	29	–
25	▼4	James Webb Space Telescope	Space	1,509	0.92×	19	16
26	▼2	Cryptocurrency	Security & money	1,495	1.05×	20	11
27	▲1	Starship	Space	1,457	2.4×	22	17
28	▼6	AI bubble	AI building blocks	1,425	0.87×	15	103
29	▼2	Apple silicon	Chips & compute	1,393	0.72×	45	21
30	=	Qwen	AI models & apps	1,361	1.13×	26	65
31	=	Microsoft Copilot	AI models & apps	1,299	0.94×	34	14
32	▼3	Cursor	AI models & apps	1,295	0.83×	11	–
33	▼1	RAG	AI building blocks	1,252	1.07×	31	20
34	▼1	Raspberry Pi	Chips & compute	1,216	1.04×	32	25
35	▼1	AI agents	AI building blocks	1,185	0.89×	61	121
36	▼1	Hallucination	AI building blocks	1,119	0.88×	40	35
37	▼1	Drones	Robots & mobility	1,089	0.94×	36	24
38	▼1	Tesla Cybertruck	Robots & mobility	1,051	0.95×	33	26
39	▲4	Deepfake	Security & money	1,022	1.2×	39	29
40	▼1	Steam Frame	Devices	1,016	0.88×	50	–
41	▲1	Artemis program	Space	987	1.16×	38	15
42	▼1	Bluesky	Web & software	967	0.92×	35	12
43	▲2	5G	Web & software	957	0.87×	41	27
44	▲2	Kubernetes	Web & software	939	1.06×	43	36
45	▲5	GPU	Chips & compute	889	0.95×	51	37
46	▼6	Kimi	AI models & apps	888	0.74×	30	–
47	=	Lithium-ion batteries	Energy	883	1×	44	28
48	=	Lidar	Robots & mobility	881	0.97×	47	39
49	▲3	Gemini	AI models & apps	872	1.4×	46	31
50	▼1	Tesla Optimus	Robots & mobility	865	0.89×	52	43
51	=	AI alignment	AI building blocks	856	0.73×	88	90
52	▼8	Next.js	Web & software	838	0.65×	37	87
53	▲1	Neuralink	Devices	817	1.07×	53	38
54	▼1	2 nm chips	Chips & compute	814	0.75×	78	61
55	▲3	CRISPR	Biotech & materials	802	1.31×	54	40
56	▼1	3D printing	Biotech & materials	716	0.94×	49	41
57	=	Local LLMs (Ollama)	AI building blocks	712	1.03×	62	–
58	▼2	TypeScript	Web & software	683	0.88×	42	64
59	▲2	Sora	AI models & apps	672	0.95×	66	95
60	▼1	Stable Diffusion	AI models & apps	671	0.94×	56	42
61	▲1	RISC-V	Chips & compute	659	0.87×	58	44
62	▼2	Nuclear power	Energy	655	1.02×	63	53
63	▲4	Ethereum	Security & money	651	1.23×	59	32
64	▲5	Falcon 9	Space	643	1.64×	48	56
65	▲1	Fusion power	Energy	638	1.06×	60	47
66	▼2	Steam Deck	Devices	626	0.99×	57	33
67	▼2	6G	Web & software	622	0.86×	55	66
68	▼5	Graphene	Biotech & materials	609	0.89×	64	52
69	▼1	Post-quantum cryptography	Security & money	605	0.94×	67	57
70	▲1	Midjourney	AI models & apps	560	1.12×	76	45
71	▲3	Llama	AI models & apps	550	1.04×	72	60
72	=	Space Launch System	Space	543	1.23×	69	58
73	▲2	Virtual reality	Devices	527	1.12×	74	51
74	▼1	Ransomware	Security & money	523	1×	93	71
75	▲2	HBM	Chips & compute	520	1.01×	65	84
76	▼6	Prediction market	Security & money	520	0.97×	73	99
77	▲4	Augmented reality	Devices	509	1.01×	80	54
78	▲1	Fediverse	Web & software	502	1.12×	75	77
79	▼3	Meta smart glasses	Devices	500	0.85×	68	–
80	▼2	Self-driving car	Robots & mobility	494	0.88×	83	62
81	▼1	Tokamaks	Energy	491	1.26×	70	68
82	▲2	Heat pumps	Energy	486	1.08×	71	67
83	▼1	Foldable phone	Devices	479	0.72×	116	112
84	▼1	LFP batteries	Energy	476	1×	79	55
85	=	Small modular reactor (SMR)	Energy	469	1.3×	81	50
86	▲1	TPU	Chips & compute	456	1.23×	84	79
87	▼1	Stablecoin	Security & money	432	0.91×	82	30
88	▲1	EUV lithography	Chips & compute	430	0.91×	98	123
89	▲3	Solid-state batteries	Energy	427	1.23×	87	69
90	▼2	Apple Vision Pro	Devices	420	0.73×	104	85
91	=	Electric vehicle	Robots & mobility	412	0.99×	86	74
92	▲9	Amazon Leo (Project Kuiper)	Space	410	1.3×	96	–
93	▲3	Brain-computer interface	Devices	402	1.04×	92	75
94	▲6	NPU	Chips & compute	393	1.04×	102	83
95	▼1	Tesla Autopilot	Robots & mobility	393	0.85×	108	92
96	▼3	WebAssembly	Web & software	391	1.01×	94	86
97	▼2	Zero-knowledge proof	Security & money	390	0.96×	100	76
98	▼8	Sodium-ion battery	Energy	382	0.87×	77	59
99	▼1	New Glenn	Space	377	1.28×	91	80
100	▼3	Cultured meat	Biotech & materials	368	0.97×	90	100

Bubbling under 30

Humanoid robot 359/day · 0.91×
Zig 351/day · 1.06×
Hyperloop 344/day · 0.94×
GitHub Copilot 324/day · 0.96×
Mirror life 315/day · 1.34×
Diffusion model 310/day · 0.97×
mRNA vaccine 306/day · 1.08×
Lab-grown diamond 298/day · 0.89×
CRDTs 292/day · 1.08×
Matter 279/day · 1.08×
Solana 278/day · 0.82×
Bun 249/day · 1.01×
Carbon capture and storage 238/day · 0.98×
Reasoning models 235/day · 0.97×
Vera C. Rubin Observatory 223/day · 0.88×
Robotaxi 220/day · 0.74×
CBDC 213/day · 0.92×
Smart glasses 198/day · 0.74×
Neuromorphic computing 194/day · 0.98×
eVTOL 192/day · 0.89×
Meta Quest 184/day · 1×
Perovskite solar cell 183/day · 0.82×
Molten-salt reactors 172/day · 1.06×
Zero trust 157/day · 0.95×
Svelte 135/day · 0.96×
Xenotransplantation 134/day · 0.76×
Reusable launch vehicle 132/day · 0.89×
WebGPU 131/day · 1.06×
AT Protocol 126/day · 0.96×
Green hydrogen 120/day · 0.91×

Method and sources

Every trend gets up to three free, daily signals. Installs: npm registry downloads for the packages named on each trend page (developer adoption; it counts CI and mirrors too, so it measures direction, not people). Attention: English Wikipedia readers per day, human agents only, and Hacker News stories with the term in the title. For each signal we divide a typical day (the median) of the last 7 complete days by a typical day of the 28 days before. Medians keep one launch-day spike from carrying a whole week; both windows are whole weeks, so weekend dips sit equally in both. Momentum is the geometric mean of the signals that clear a minimum base. npm reports some days as zero for every package at once; we treat those as missing.

The column is drafted by a free language model from the day's computed facts only, and is published only if every number in it matches those facts; otherwise the computed paragraphs stand alone. Theme labels come from Jev (or its Cloudflare Clef fallback, as noted) choosing from a fixed list of ten. The 100 ranks a fixed list of about 130 technologies by English Wikipedia readers, so it measures attention, not use; ranks for past dates are computed from the same Wikipedia history.

JSON: /api/trends/100-2026-10-04.json