The Tec N Trend 100October 3, 2026

The 100

ChatGPT is the most-read technology at 58k readers a day; Superintelligence climbed 75 places in 30 days. Superintelligence rose from No. 97 to No. 22. 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 2, 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	5,849	0.61×	13	47
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	0.84×	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	12
8	▼3	AGI	AI building blocks	2,810	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	▲4	Starlink	Space	2,070	1.25×	7	7
12	▲6	Rust	Web & software	2,005	1.56×	16	23
13	=	Data centers	Chips & compute	1,989	1.03×	9	48
14	=	Wi-Fi 7	Web & software	1,988	1.24×	10	34
15	▲1	Generative AI	AI building blocks	1,929	0.95×	20	117
16	▼6	Tesla Cybercab	Robots & mobility	1,903	0.57×	32	109
17	=	Grok	AI models & apps	1,885	0.87×	17	10
18	▲1	Waymo	Robots & mobility	1,846	0.82×	18	22
19	▲1	Quantum computing	Chips & compute	1,835	0.97×	14	9
20	▼8	Roman Space Telescope	Space	1,753	0.5×	27	96
21	▲4	Vibe coding	AI building blocks	1,644	1.17×	26	8
22	▲24	Superintelligence	AI building blocks	1,545	3×	97	88
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	1,519	0.9×	19	17
26	▼2	Cryptocurrency	Security & money	1,495	1.03×	21	11
27	▲2	Starship	Space	1,436	2.4×	22	16
28	▼6	AI bubble	AI building blocks	1,425	0.87×	15	106
29	▼2	Apple silicon	Chips & compute	1,393	0.75×	45	21
30	=	Qwen	AI models & apps	1,361	1.13×	25	67
31	=	Microsoft Copilot	AI models & apps	1,299	0.94×	35	13
32	▼4	Cursor	AI models & apps	1,295	0.82×	11	–
33	▼1	RAG	AI building blocks	1,252	1.07×	30	20
34	▼1	Raspberry Pi	Chips & compute	1,216	1.06×	31	25
35	▼1	AI agents	AI building blocks	1,185	0.9×	62	121
36	▼1	Hallucination	AI building blocks	1,119	0.88×	39	35
37	▼1	Drones	Robots & mobility	1,089	0.94×	34	24
38	▼1	Tesla Cybertruck	Robots & mobility	1,052	0.95×	33	26
39	▼1	Steam Frame	Devices	1,016	0.92×	49	–
40	▲3	Deepfake	Security & money	1,010	1.2×	38	29
41	▲1	Artemis program	Space	987	1.2×	37	15
42	▼2	Bluesky	Web & software	967	0.92×	36	14
43	▲1	5G	Web & software	957	0.87×	40	27
44	▲1	Kubernetes	Web & software	939	1.06×	41	36
45	▲5	GPU	Chips & compute	889	0.95×	51	37
46	▼7	Kimi	AI models & apps	888	0.74×	28	–
47	=	Lithium-ion batteries	Energy	883	0.99×	42	28
48	=	Lidar	Robots & mobility	881	0.97×	48	38
49	▲3	Gemini	AI models & apps	872	1.4×	46	30
50	▼1	Tesla Optimus	Robots & mobility	870	0.93×	54	43
51	▼10	Next.js	Web & software	862	0.64×	43	87
52	▼1	AI alignment	AI building blocks	856	0.79×	89	91
53	=	2 nm chips	Chips & compute	814	0.78×	79	61
54	=	Neuralink	Devices	814	1.07×	52	39
55	▲4	CRISPR	Biotech & materials	802	1.34×	53	41
56	▼1	3D printing	Biotech & materials	716	0.94×	50	40
57	=	Local LLMs (Ollama)	AI building blocks	715	1.03×	61	–
58	▼2	TypeScript	Web & software	683	0.88×	44	64
59	▲4	Sora	AI models & apps	672	0.99×	66	94
60	▼2	Stable Diffusion	AI models & apps	671	0.94×	56	42
61	▼1	RISC-V	Chips & compute	659	0.87×	57	44
62	▼1	Nuclear power	Energy	655	1.04×	64	53
63	▲4	Ethereum	Security & money	651	1.23×	59	32
64	▲2	Fusion power	Energy	638	1.06×	60	51
65	▲4	Falcon 9	Space	635	1.64×	47	56
66	▼2	Steam Deck	Devices	626	0.99×	58	33
67	▼2	6G	Web & software	622	0.92×	55	65
68	▼6	Graphene	Biotech & materials	609	0.89×	65	49
69	▼1	Post-quantum cryptography	Security & money	605	0.94×	67	59
70	▲3	Midjourney	AI models & apps	560	1.15×	76	45
71	▲3	Llama	AI models & apps	550	1.04×	72	58
72	▼1	Space Launch System	Space	543	1.23×	69	57
73	▲2	Virtual reality	Devices	527	1.12×	74	52
74	▼2	Ransomware	Security & money	523	1×	93	72
75	▲1	HBM	Chips & compute	520	1.01×	63	84
76	▼6	Prediction market	Security & money	510	0.95×	73	99
77	▲4	Augmented reality	Devices	509	1.01×	80	54
78	▼1	Self-driving car	Robots & mobility	506	0.88×	84	62
79	▼1	Meta smart glasses	Devices	500	0.92×	68	–
80	=	Fediverse	Web & software	499	1.14×	75	76
81	▼2	Tokamaks	Energy	491	1.26×	71	68
82	▲2	Heat pumps	Energy	486	1.08×	70	66
83	▼1	Foldable phone	Devices	479	0.72×	116	112
84	▼1	LFP batteries	Energy	476	1×	78	55
85	=	Small modular reactor (SMR)	Energy	469	1.3×	81	50
86	▲1	TPU	Chips & compute	456	1.25×	83	79
87	▼1	Stablecoin	Security & money	432	0.91×	82	31
88	▲2	EUV lithography	Chips & compute	430	0.91×	98	123
89	▲3	Solid-state batteries	Energy	427	1.23×	88	69
90	▼2	Apple Vision Pro	Devices	420	0.74×	104	85
91	=	Electric vehicle	Robots & mobility	411	0.97×	86	73
92	▲9	Amazon Leo (Project Kuiper)	Space	410	1.3×	96	–
93	▲3	Brain-computer interface	Devices	402	1.04×	92	71
94	▲8	NPU	Chips & compute	393	1.06×	102	83
95	▼1	Tesla Autopilot	Robots & mobility	393	0.85×	108	92
96	▼1	Zero-knowledge proof	Security & money	390	0.96×	99	78
97	▼8	Sodium-ion battery	Energy	382	0.86×	77	60
98	▼5	WebAssembly	Web & software	381	1.01×	94	86
99	▼1	New Glenn	Space	378	1.28×	91	80
100	▼3	Cultured meat	Biotech & materials	368	0.97×	90	100

Bubbling under 30

Humanoid robot 359/day · 0.92×
Zig 349/day · 1.04×
Hyperloop 348/day · 1×
GitHub Copilot 324/day · 0.96×
Diffusion model 310/day · 0.97×
mRNA vaccine 306/day · 1.07×
Lab-grown diamond 298/day · 0.93×
Mirror life 297/day · 1.38×
CRDTs 292/day · 1.08×
Solana 286/day · 0.98×
Matter 279/day · 1.08×
Bun 249/day · 0.91×
Reasoning models 240/day · 0.97×
Carbon capture and storage 238/day · 0.98×
Vera C. Rubin Observatory 229/day · 0.87×
Robotaxi 228/day · 0.73×
CBDC 213/day · 0.92×
Smart glasses 198/day · 0.77×
Neuromorphic computing 194/day · 0.98×
eVTOL 192/day · 0.89×
Meta Quest 184/day · 1.07×
Perovskite solar cell 183/day · 0.82×
Molten-salt reactors 172/day · 1.06×
Zero trust 157/day · 0.95×
Xenotransplantation 139/day · 0.76×
Svelte 135/day · 0.93×
Reusable launch vehicle 132/day · 0.84×
WebGPU 131/day · 1.06×
AT Protocol 126/day · 0.94×
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/100-2026-10-03.json