Adoption dailySpace

SpaceX dominance forces rival tech into the background

Starship momentum at 2.4× outpaces Starlink, while SMR drops ten ranks and AI attention lags behind actual installs.

The numbers: SpaceX Starship is today's fastest-rising trend: Wikipedia readers at 2.4× the four-week pace. Momentum across 1 signal: 2.4×. 6 of 21 trends are climbing and 3 are cooling. SpaceX Starship has led 5 days running.

Backfilled on October 7, 2026 using only data published by October 5, 2026.

SpaceX Starship: 3,302 Wikipedia readers a day on a typical day last week, against 1,378 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 10/03, Wikipedia 10/04, HN 10/04. Source: Wikimedia pageviews API, user agents only.

Starship has led the board for four straight days, showing 2.4× momentum with Wikipedia views at 3,302/day. This sustained surge eclipses Starlink, which climbed to rank 3 with 1.24× momentum. The gap between these two orbital assets suggests a hierarchy where heavy-lift capability drives the narrative, while connectivity services follow as a secondary utility rather than a parallel frontier.

Meanwhile, Small modular reactor (SMR) fell from rank 3 to 12, losing its earlier prominence. This decline coincides with AI agents showing 1.25× install growth versus only 1.06× attention growth. Builders are integrating AI tools into workflows faster than public discourse reflects, creating a disconnect between practical adoption and the headlines that usually track broad interest.

The cooling of quantum computing at 0.81× and robotaxis at 0.73× further isolates the space sector. While other categories fade, the focus tightens on physical deployment. The data indicates a period where tangible hardware progress, specifically in orbital logistics, commands more collective attention than speculative software or nascent energy projects.

Watch next: Monitor if Starlink momentum accelerates to match Starship, or if the SMR decline continues into next week.

Column drafted by qwen/qwen3.8-27b from the numbers below; every figure checked against them.

The numbers

The Wikipedia article "SpaceX Starship" drew 3,302 readers on a typical day last week, 2.4× its four-week norm of 1,378. Most of that came on Sep 28.

Next on the board: Passkeys at 1.31×, led by installs at 1.31× (1.0M on a typical day against 799k).

Quiet adoption: AI agents installs run at 1.25× their four-week pace while attention sits at 1.06×. Developers are adding it faster than people are reading about it.

Cooling fastest: Smart glasses at 0.67×, with Wikipedia readers down to 153 on a typical day from 230.

The long view: OpenAI Codex installs over the last four weeks are 117× the same four weeks a year earlier (3.4M a day against 29k).

Trend pages: SpaceX StarshipPasskeysStarlinkSmart glasses

Broad riseOne-day spike

6 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 10/03, Wikipedia 10/04, HN 10/04. 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 10/03, Wikipedia 10/04, HN 10/04. 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. Orange runs hot, dark runs cold.

Data through npm 10/03, Wikipedia 10/04, HN 10/04. Source: Wikimedia pageviews API, user agents only.

Every number on the board
All 22 trends, October 5, 2026. Per-day figures are a typical (median) day of the last week. * = base too small to count (under 1,000 installs, 100 readers or 1 story a day).
SpaceX StarshipSpace2.4×Breakout––3,3022.4×1.79.6×*0
PasskeysWeb platform1.31×Climbing1.0M1.31×860.97×*0.00×*0
StarlinkSpace1.24×Climbing––2,4701.24×1.02.2×*1
Solid-state batteriesEnergy1.23×Climbing––4891.23×0.00×*0
AI API SDKsAI agents1.21×Climbing21M1.21×––––0
OpenAI CodexAI coding1.2×Climbing3.9M1.16×531.38×*5.31.25×0
Model Context ProtocolAI agents1.14×Steady12M1.23×1,5381.08×7.41.12×0
WebGPUWeb platform1.14×Steady1.7M1.23×1351.06×1.01.47×*0
AI agentsAI agents1.12×Steady755k1.25×9620.82×151.38×1
Claude CodeAI coding1.1×Steady2.4M1.08×––7.41.12×0
Bun runtimeWeb platform1.1×Steady758k1.19×2441.01×0.90.92×*0
Small modular reactorsEnergy1.1×Steady––5101.1×0.00×*0
Gemini CLIAI coding1.09×Steady70k1.09×––0.0n/a*0
Local LLMsAI agents1.08×Steady192k1.13×7211.03×1.11.88×*0
Heat pumpsEnergy1.08×Steady––5101.08×0.00×*0
Vibe codingAI coding1.02×Steady––1,7341.2×1.00.88×0
Humanoid robotsRobots0.91×Steady––3380.91×0.91.09×*0
eVTOL air taxisSpace0.89×Steady––1820.89×0.00×*0
Quantum computingDevices0.81×Cooling––1,7210.98×2.10.67×0
RobotaxisRobots0.73×Cooling––1840.73×0.41×*2
Smart glassesDevices0.67×Cooling––1530.67×0.30.4×*0
Vehicle-to-gridEnergyn/aNot enough data––641.03×*0.00×*1

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/2026-10-05.json.