The Tec N Trend 100October 7, 2026

The 100

ChatGPT is the most-read technology at 60k readers a day; Superintelligence climbed 80 places in 30 days. Superintelligence rose from No. 97 to No. 17. Cursor fell furthest, from No. 13 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 6, 2026. Momentum: a typical day last week against the four weeks before. Arrows: change against 7 days earlier.

1	=	ChatGPT	AI models & apps	60k	0.79×	1	1
2	▲1	Claude	AI models & apps	5,550	0.99×	2	125
3	▼1	Hugging Face	AI building blocks	5,292	0.52×	10	49
4	=	Large language model	AI building blocks	3,949	0.99×	3	5
5	▲1	Nintendo Switch 2	Devices	3,075	0.82×	4	4
6	▲1	DeepSeek	AI models & apps	2,902	0.9×	12	6
7	▲1	AI slop	AI building blocks	2,775	1.02×	5	13
8	▲1	Bitcoin	Security & money	2,512	0.94×	6	3
9	▲6	Rust	Web & software	2,439	1.49×	16	24
10	=	Perplexity	AI models & apps	2,435	0.88×	8	2
11	▼6	AGI	AI building blocks	2,382	0.49×	24	17
12	▲2	Wi-Fi 7	Web & software	2,187	2.1×	14	34
13	=	Starlink	Space	2,102	1.1×	7	7
14	▼2	Data centers	Chips & compute	1,976	0.88×	11	47
15	▲1	Generative AI	AI building blocks	1,931	0.95×	22	117
16	▲1	Grok	AI models & apps	1,847	0.9×	18	10
17	▲16	Superintelligence	AI building blocks	1,842	2.5×	97	88
18	▲2	Quantum computing	Chips & compute	1,790	0.93×	15	8
19	=	Waymo	Robots & mobility	1,780	0.82×	19	22
20	▼9	Tesla Cybercab	Robots & mobility	1,697	0.53×	23	109
21	▲3	Vibe coding	AI building blocks	1,677	1.16×	27	9
22	▲3	Model Context Protocol	AI building blocks	1,601	1.11×	26	19
23	▲5	Starship	Space	1,581	1.57×	25	18
24	▼6	Roman Space Telescope	Space	1,548	0.56×	9	99
25	▼4	Transformer	AI building blocks	1,541	0.93×	29	–
26	=	Cryptocurrency	Security & money	1,508	1.02×	21	12
27	▼5	James Webb Space Telescope	Space	1,502	0.91×	17	16
28	▲1	Qwen	AI models & apps	1,472	1.12×	28	64
29	▼6	AI bubble	AI building blocks	1,425	0.88×	20	93
30	▼3	Apple silicon	Chips & compute	1,393	0.69×	45	21
31	=	Microsoft Copilot	AI models & apps	1,303	0.88×	35	14
32	▼2	Cursor	AI models & apps	1,275	0.84×	13	–
33	▼1	RAG	AI building blocks	1,270	0.92×	31	20
34	▲1	AI agents	AI building blocks	1,237	0.81×	60	121
35	▼1	Raspberry Pi	Chips & compute	1,205	1×	30	25
36	=	Hallucination	AI building blocks	1,113	0.87×	40	35
37	=	Drones	Robots & mobility	1,057	0.92×	36	23
38	▲3	Deepfake	Security & money	1,045	1.27×	39	28
39	▼1	Tesla Cybertruck	Robots & mobility	1,034	0.88×	33	26
40	▼1	Steam Frame	Devices	1,016	0.73×	47	–
41	▲1	Artemis program	Space	987	0.97×	38	15
42	▼2	Bluesky	Web & software	959	0.93×	34	11
43	=	5G	Web & software	956	0.85×	41	27
44	▲2	Kubernetes	Web & software	945	1.04×	44	36
45	▲9	Neuralink	Devices	928	1.23×	58	38
46	▲1	GPU	Chips & compute	889	0.85×	51	37
47	▲2	Lidar	Robots & mobility	881	1.04×	46	39
48	=	Lithium-ion batteries	Energy	880	0.93×	42	29
49	▲3	Gemini	AI models & apps	879	1.07×	48	31
50	▼5	Kimi	AI models & apps	864	0.87×	32	–
51	=	AI alignment	AI building blocks	856	0.67×	89	89
52	▼2	Tesla Optimus	Robots & mobility	844	0.87×	53	43
53	▲2	CRISPR	Biotech & materials	834	1.21×	54	41
54	▼1	2 nm chips	Chips & compute	814	0.69×	78	60
55	▼11	Next.js	Web & software	779	0.65×	37	87
56	▲1	Local LLMs (Ollama)	AI building blocks	708	0.9×	62	–
57	▼1	3D printing	Biotech & materials	704	0.89×	50	40
58	▲1	Stable Diffusion	AI models & apps	673	0.95×	55	42
59	▼1	TypeScript	Web & software	669	0.9×	43	65
60	=	Sora	AI models & apps	665	0.91×	67	94
61	=	Nuclear power	Energy	655	0.85×	63	53
62	=	RISC-V	Chips & compute	655	0.87×	57	44
63	▲2	Ethereum	Security & money	644	0.92×	59	33
64	▲5	Falcon 9	Space	635	1.17×	49	58
65	▲2	Fusion power	Energy	630	0.94×	61	46
66	▼3	Graphene	Biotech & materials	623	0.9×	64	52
67	▼1	Steam Deck	Devices	621	0.93×	56	32
68	▼4	6G	Web & software	621	0.89×	52	67
69	▼1	Post-quantum cryptography	Security & money	605	0.93×	65	57
70	=	Midjourney	AI models & apps	565	1.11×	76	45
71	=	Space Launch System	Space	554	1.07×	69	59
72	=	Llama	AI models & apps	551	1.03×	72	61
73	▲3	Prediction market	Security & money	537	1.06×	75	91
74	▲1	Virtual reality	Devices	527	0.92×	73	51
75	▼2	Ransomware	Security & money	526	1.01×	88	72
76	▲2	HBM	Chips & compute	515	1.06×	66	85
77	▲3	Augmented reality	Devices	515	0.95×	80	55
78	▲3	Tokamaks	Energy	515	1.15×	70	66
79	=	Fediverse	Web & software	507	1.12×	74	74
80	▼6	Meta smart glasses	Devices	492	0.79×	68	–
81	▲2	Heat pumps	Energy	486	1.05×	71	68
82	▲3	Small modular reactor (SMR)	Energy	484	1.12×	81	50
83	▼1	Foldable phone	Devices	479	0.65×	116	113
84	=	LFP batteries	Energy	476	0.94×	77	56
85	▲1	TPU	Chips & compute	473	1.16×	84	80
86	▼9	Self-driving car	Robots & mobility	467	0.84×	83	62
87	▲4	Solid-state batteries	Energy	429	1.06×	87	70
88	▲1	EUV lithography	Chips & compute	424	0.86×	99	123
89	▼2	Stablecoin	Security & money	422	0.92×	82	30
90	▼2	Apple Vision Pro	Devices	420	0.68×	103	84
91	▲5	Brain-computer interface	Devices	417	1.08×	92	75
92	▼2	Electric vehicle	Robots & mobility	417	0.98×	86	71
93	▲8	NPU	Chips & compute	404	1.02×	101	83
94	▲1	Amazon Leo (Project Kuiper)	Space	395	0.95×	96	–
95	▼2	Tesla Autopilot	Robots & mobility	386	0.84×	107	95
96	▲1	Zero-knowledge proof	Security & money	383	0.92×	100	76
97	▼3	WebAssembly	Web & software	381	1×	93	86
98	▼6	Sodium-ion battery	Energy	374	0.9×	79	54
99	▼1	New Glenn	Space	371	1.08×	91	79
100	▼1	Cultured meat	Biotech & materials	368	1×	90	102

Bubbling under 30

Zig 365/day · 1.12×
Humanoid robot 346/day · 0.81×
Hyperloop 341/day · 0.85×
Mirror life 334/day · 2.6×
GitHub Copilot 332/day · 0.97×
mRNA vaccine 324/day · 1.07×
Diffusion model 307/day · 1×
CRDTs 296/day · 0.94×
Solana 286/day · 0.82×
Lab-grown diamond 285/day · 0.86×
Matter 280/day · 1.04×
Bun 258/day · 1.03×
Reasoning models 234/day · 1×
Carbon capture and storage 234/day · 0.85×
Vera C. Rubin Observatory 218/day · 0.84×
Smart glasses 212/day · 0.68×
CBDC 210/day · 0.88×
Robotaxi 207/day · 0.7×
Neuromorphic computing 194/day · 1.05×
Meta Quest 184/day · 0.93×
eVTOL 184/day · 0.91×
Perovskite solar cell 180/day · 0.82×
Molten-salt reactors 178/day · 1.06×
Zero trust 157/day · 0.94×
WebGPU 135/day · 1.06×
Svelte 134/day · 0.97×
Xenotransplantation 130/day · 0.76×
AT Protocol 127/day · 0.98×
Reusable launch vehicle 123/day · 0.89×
Green hydrogen 118/day · 0.88×

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/100-2026-10-07.json