Adoption dailyEnergy transition
Today's story: Solid-state batteries
Solid-state batteries jump six spots as energy storage demand accelerates
Wikipedia readers hit 1.25× the four-week pace, pushing the trend to No. 5 while SpaceX Starship holds the top spot with 2.4× momentum.
The numbers: Solid-state batteries is today's biggest mover: up 6 places to No. 5, Wikipedia readers at 1.25× the four-week pace. Solid-state batteries: 1.25× momentum across 1 signal. 9 of 21 trends are climbing and 3 are cooling. SpaceX Starship still leads the board at 2.4× (day 2).
Backfilled on October 7, 2026 using only data published by October 2, 2026.
Solid-state batteries, signal by signal
Each pedestal is one signal: its height is last week's typical day against the four weeks before, and the ring marks that normal. A lit pedestal is rising 1.15× or more.
Solid-state batteries is today's biggest mover: up 6 places to No. 5, Wikipedia readers at 1.25× the four-week pace.
Solid-state batteries: 489 Wikipedia readers a day on a typical day last week, against 391 the four weeks before
Bars are single days, the line is the 7-day average, the shaded band is the last 7 days and the dashed line is the four-week typical day (median).
Data through npm 09/30, Wikipedia 10/01, HN 10/01. Source: Wikimedia pageviews API, user agents only.
Solid-state batteries moved six places to No. 5, marking the day’s largest rank change. Wikipedia readers reached 489/day, which is 1.25× the four-week pace of 391/day. This climb places it alongside other rising energy technologies like Small modular reactors, which also showed 1.3× momentum. The movement suggests a broader increase in interest for next-generation power storage solutions.
SpaceX Starship remains the board leader for the second day, maintaining 2.4× momentum with Wikipedia readers at 3,302/day. Starlink follows with 1.34× momentum. In contrast, older trends like Quantum computing and Robotaxis are cooling, with momentum at 0.8× and 0.73× respectively. This divergence highlights a rotation of attention from established AI and autonomous transport concepts toward new energy and space hardware.
The rise of Solid-state batteries coincides with a general climb for hardware-focused trends. Passkeys also climbed with 1.33× momentum in installs. The pattern indicates that builders are increasingly looking at physical components and energy systems rather than just software layers. As Starship continues its breakout, the energy sector is gaining parallel traction in developer and researcher attention.
Watch next: Watch whether Solid-state batteries maintain their climb past No. 5 or if the energy sector momentum spreads to other storage technologies.
Column drafted by qwen/qwen3.8-27b from the numbers below; every figure checked against them.
The numbers
The Wikipedia article "Solid-state battery" drew 489 readers on a typical day last week, 1.25× its four-week norm of 391.
Still No. 1 for day 2: SpaceX Starship at 2.4×, with Wikipedia readers at 2.4× (3,302 on a typical day against 1,370).
Quiet adoption: Bun runtime installs run at 1.27× their four-week pace while attention sits at 0.92×. Developers are adding it faster than people are reading about it.
Cooling fastest: Robotaxis at 0.73×, with Wikipedia readers down to 184 on a typical day from 251. Part of that is a spike on Sep 8 in the weeks before.
The long view: OpenAI Codex installs over the last four weeks are 116× the same four weeks a year earlier (3.4M a day against 29k).
Trend pages: SpaceX StarshipStarlinkPasskeysRobotaxis
Quiet adoptionBroad riseOne-day spike9 of 21 trends are climbing; SpaceX Starship leads at 2.4×
Momentum is a typical day (median) of the last 7 divided by a typical day of the 28 before, averaged across every signal with enough data. 1× means no change. Rings mark each signal.
Data through npm 09/30, Wikipedia 10/01, HN 10/01. Source: npm downloads API, Wikimedia pageviews, Hacker News search.
5 of 7 developer tools are being installed faster than they are being read about
Across: attention momentum (Wikipedia readers and Hacker News stories). Up: install momentum (npm). Both on log scales; the 1× lines split the corners.
Data through npm 09/30, Wikipedia 10/01, HN 10/01. Source: npm downloads API, Wikimedia pageviews, Hacker News search.
SpaceX Starship draws the most Wikipedia readers against its own normal: 2.4× over the last week
Each cell is one day's readers divided by that trend's four-week typical day. Brighter runs hot, darker runs cold.
Data through npm 09/30, Wikipedia 10/01, HN 10/01. Source: Wikimedia pageviews API, user agents only.
Every number on the board
| SpaceX Starship | Space | 2.4× | Breakout | – | – | 3,302 | 2.4× | 1.7 | 6.9×* | 0 |
|---|---|---|---|---|---|---|---|---|---|---|
| Starlink | Space | 1.34× | Climbing | – | – | 2,626 | 1.34× | 0.7 | 1.67×* | 0 |
| Passkeys | Web platform | 1.33× | Climbing | 1.0M | 1.33× | 84 | 0.95×* | 0.1 | 0.36×* | 0 |
| Small modular reactors | Energy | 1.3× | Climbing | – | – | 595 | 1.3× | 0.0 | 0×* | 0 |
| Solid-state batteries | Energy | 1.25× | Climbing | – | – | 489 | 1.25× | 0.0 | 0×* | 0 |
| AI API SDKs | AI agents | 1.19× | Climbing | 20M | 1.19× | – | – | – | – | 0 |
| OpenAI Codex | AI coding | 1.17× | Climbing | 3.9M | 1.16× | 42 | 1.17×* | 5.1 | 1.19× | 0 |
| AI agents | AI agents | 1.17× | Climbing | 719k | 1.23× | 1,178 | 1.05× | 14 | 1.24× | 2 |
| WebGPU | Web platform | 1.15× | Climbing | 1.6M | 1.23× | 135 | 1.07× | 1.0 | 1.4×* | 0 |
| Gemini CLI | AI coding | 1.1× | Steady | 70k | 1.1× | – | – | 0.0 | n/a* | 0 |
| Bun runtime | Web platform | 1.08× | Steady | 782k | 1.27× | 225 | 0.92× | 1.0 | 1.04×* | 0 |
| Model Context Protocol | AI agents | 1.07× | Steady | 11M | 1.19× | 1,538 | 1.08× | 6.9 | 0.96× | 0 |
| Heat pumps | Energy | 1.07× | Steady | – | – | 510 | 1.07× | 0.1 | 2×* | 0 |
| Claude Code | AI coding | 1.06× | Steady | 2.4M | 1.06× | – | – | 7.1 | 1.05× | 0 |
| Vibe coding | AI coding | 1.04× | Steady | – | – | 1,687 | 1.18× | 1.1 | 0.91× | 0 |
| Local LLMs | AI agents | 1.03× | Steady | 174k | 1.02× | 721 | 1.05× | 1.0 | 1.65×* | 0 |
| Humanoid robots | Robots | 0.94× | Steady | – | – | 345 | 0.94× | 0.7 | 0.95×* | 1 |
| eVTOL air taxis | Space | 0.89× | Steady | – | – | 182 | 0.89× | 0.0 | 0×* | 0 |
| Smart glasses | Devices | 0.83× | Cooling | – | – | 188 | 0.83× | 0.1 | 0.2×* | 0 |
| Quantum computing | Devices | 0.8× | Cooling | – | – | 1,789 | 1.02× | 2.0 | 0.62× | 0 |
| Robotaxis | Robots | 0.73× | Cooling | – | – | 184 | 0.73× | 0.1 | 0.31×* | 1 |
| Vehicle-to-grid | Energy | n/a | Not enough data | – | – | 58 | 0.92×* | 0.0 | 0×* | 0 |
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.
Stages: Breakout 1.5× and up, Climbing 1.15×, Steady 0.87× to 1.15×, Cooling below. Raw data: /api/trends/2026-10-02.json.