What changed

Every entry below is a change that has already been observed, with the numbers that triggered it. Kanon detects change; it does not forecast it.

24h3d7d30d
AllAcceleratingSustainedReactivatedCoolingAnomaly
52 Accelerating6 Sustained17 Reactivated24 Cooling21 Anomaly
Accelerating FreeScan.app

producthunt_votes gained 81 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=81 window 3d confidence 0.75 signal-v1 evidence
Accelerating academic-research-skills skill

github_stars gained 855 in the last 3d vs 385 in the 3d before (ratio 2.2x, threshold 1.5x)

gain_3d=385 → gain_3d=855 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating apify-mcp-server skill

github_stars gained 444 in the last 3d vs 255 in the 3d before (ratio 1.7x, threshold 1.5x)

gain_3d=255 → gain_3d=444 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating gh-aw skill

github_stars gained 36 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=36 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated kubernetes-sigs/agent-sandbox

github_stars did not move for 7d, then gained 129 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating kubernetes-sigs/agent-sandbox

github_stars gained 129 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=129 window 3d confidence 0.75 signal-v1 evidence
Accelerating OpenViking skill

github_stars gained 650 in the last 3d vs 433 in the 3d before (ratio 1.5x, threshold 1.5x)

gain_3d=433 → gain_3d=650 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating cmux skill

github_stars gained 140 in the last 3d vs 89 in the 3d before (ratio 1.6x, threshold 1.5x)

gain_3d=89 → gain_3d=140 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating kunchenguid/no-mistakes

github_stars gained 136 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=136 window 3d confidence 0.75 signal-v1 evidence
Accelerating Adala data

github_stars gained 5 in the last 3d vs 1 in the 3d before (ratio 5.0x, threshold 1.5x)

gain_3d=1 → gain_3d=5 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating OpenResearch skill

github_stars gained 263 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=263 window 3d confidence 0.75 signal-v1 evidence timeline
Accelerating llm_wiki research

github_stars gained 636 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=636 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated nguyenphutrong/quotio

github_stars did not move for 7d, then gained 54 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating nguyenphutrong/quotio

github_stars gained 54 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=54 window 3d confidence 0.75 signal-v1 evidence
Reactivated AndyShaman/BYDMate

github_stars did not move for 7d, then gained 60 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating AndyShaman/BYDMate

github_stars gained 60 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=60 window 3d confidence 0.75 signal-v1 evidence
Reactivated jacobaraujo7/remote_pi

github_stars did not move for 7d, then gained 64 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating jacobaraujo7/remote_pi

github_stars gained 64 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=64 window 3d confidence 0.75 signal-v1 evidence
Accelerating datawhalechina/hello-agents

github_stars gained 1120 in the last 3d vs 367 in the 3d before (ratio 3.1x, threshold 1.5x)

gain_3d=367 → gain_3d=1120 window 3d confidence 0.90 signal-v1 evidence
Accelerating MiniMax-AI/skills

github_stars gained 35 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=35 window 3d confidence 0.75 signal-v1 evidence
Accelerating microsoft/mcp

github_stars gained 15 in the last 3d vs 5 in the 3d before (ratio 3.0x, threshold 1.5x)

gain_3d=5 → gain_3d=15 window 3d confidence 0.90 signal-v1 evidence
Reactivated jeecgboot/JeecgBoot

github_stars did not move for 7d, then gained 171 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating jeecgboot/JeecgBoot

github_stars gained 171 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=171 window 3d confidence 0.75 signal-v1 evidence
Reactivated traycer skill

github_stars did not move for 7d, then gained 109 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating traycer skill

github_stars gained 109 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=109 window 3d confidence 0.75 signal-v1 evidence timeline
Accelerating zammad/zammad

github_stars gained 12 in the last 3d vs 3 in the 3d before (ratio 4.0x, threshold 1.5x)

gain_3d=3 → gain_3d=12 window 3d confidence 0.90 signal-v1 evidence
Accelerating diegosouzapw/OmniRoute

github_stars gained 1935 in the last 3d vs 979 in the 3d before (ratio 2.0x, threshold 1.5x)

gain_3d=979 → gain_3d=1935 window 3d confidence 0.90 signal-v1 evidence
Anomaly opencode coding

daily change 2824.0 is 25.5 standard deviations from this entity's own prior mean (-7.1±111.1, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=-7.1 → delta=2824.0 window 1d confidence 0.90 signal-v1 evidence timeline
Accelerating opencode coding

github_stars gained 2582 in the last 3d vs 166 in the 3d before (ratio 15.6x, threshold 1.5x)

gain_3d=166 → gain_3d=2582 window 3d confidence 0.90 signal-v1 evidence timeline
Cooling arcboxlabs/arcbox

github_stars momentum fell to 0 per 3d from 755 (<= 40% of the prior window)

gain_3d=755 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Cooling Soloop productivity

producthunt_votes momentum fell to 2 per 3d from 66 (<= 40% of the prior window)

gain_3d=66 → gain_3d=2 window 3d confidence 0.85 signal-v1 evidence timeline
Accelerating Hey Noah productivity

producthunt_votes gained 12 in the last 3d vs 1 in the 3d before (ratio 12.0x, threshold 1.5x)

gain_3d=1 → gain_3d=12 window 3d confidence 0.90 signal-v1 evidence timeline
Cooling AppFlowy-IO/AppFlowy

github_stars momentum fell to 77 per 3d from 200 (<= 40% of the prior window)

gain_3d=200 → gain_3d=77 window 3d confidence 0.85 signal-v1 evidence
Cooling Soloop workflow

producthunt_votes momentum fell to 2 per 3d from 66 (<= 40% of the prior window)

gain_3d=66 → gain_3d=2 window 3d confidence 0.85 signal-v1 evidence timeline
Accelerating AdAnt AI marketing

producthunt_votes gained 5 in the last 3d vs 2 in the 3d before (ratio 2.5x, threshold 1.5x)

gain_3d=2 → gain_3d=5 window 3d confidence 0.90 signal-v1 evidence timeline
Anomaly open-codex-computer-use skill

daily change 11.0 is -4.3 standard deviations from this entity's own prior mean (15.3±0.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=15.3 → delta=11.0 window 1d confidence 0.71 signal-v1 evidence timeline
Anomaly Multi-Agent-CAD design

daily change 236.0 is 4.0 standard deviations from this entity's own prior mean (66.3±42.2, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=66.3 → delta=236.0 window 1d confidence 0.70 signal-v1 evidence timeline
Accelerating boxlite skill

github_stars gained 5 in the last 3d vs 2 in the 3d before (ratio 2.5x, threshold 1.5x)

gain_3d=2 → gain_3d=5 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating Deep-Research-skills skill

github_stars gained 29 in the last 3d vs 18 in the 3d before (ratio 1.6x, threshold 1.5x)

gain_3d=18 → gain_3d=29 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating AI-Infra-Guard security

github_stars gained 57 in the last 3d vs 37 in the 3d before (ratio 1.5x, threshold 1.5x)

gain_3d=37 → gain_3d=57 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating plugins skill

github_stars gained 322 in the last 3d vs 205 in the 3d before (ratio 1.6x, threshold 1.5x)

gain_3d=205 → gain_3d=322 window 3d confidence 0.90 signal-v1 evidence timeline
Anomaly cmux skill

daily change 14.0 is -3.5 standard deviations from this entity's own prior mean (62.4±13.8, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=62.4 → delta=14.0 window 1d confidence 0.67 signal-v1 evidence timeline
Anomaly cli skill

daily change 12.0 is -3.7 standard deviations from this entity's own prior mean (24.9±3.5, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=24.9 → delta=12.0 window 1d confidence 0.68 signal-v1 evidence timeline
Accelerating adk-python coding

github_stars gained 46 in the last 3d vs 30 in the 3d before (ratio 1.5x, threshold 1.5x)

gain_3d=30 → gain_3d=46 window 3d confidence 0.90 signal-v1 evidence timeline
Anomaly guizang-ppt-skill skill

daily change 19.0 is -3.8 standard deviations from this entity's own prior mean (75.0±14.9, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=75.0 → delta=19.0 window 1d confidence 0.69 signal-v1 evidence timeline
Anomaly jlcodes99/cockpit-tools

daily change 12.0 is -5.8 standard deviations from this entity's own prior mean (62.1±8.7, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=62.1 → delta=12.0 window 1d confidence 0.79 signal-v1 evidence
Anomaly SenseNova-Skills skill

daily change 13.0 is -4.5 standard deviations from this entity's own prior mean (31.6±4.1, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=31.6 → delta=13.0 window 1d confidence 0.73 signal-v1 evidence timeline
Reactivated memvid/memvid

github_stars did not move for 7d, then gained 124 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating memvid/memvid

github_stars gained 124 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=124 window 3d confidence 0.75 signal-v1 evidence
Anomaly nuwa-skill skill

daily change 10.0 is -111.8 standard deviations from this entity's own prior mean (121.8±0.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=121.8 → delta=10.0 window 1d confidence 0.90 signal-v1 evidence timeline
Anomaly semantica-agi/semantica

daily change 13.0 is -7.1 standard deviations from this entity's own prior mean (126.1±15.9, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=126.1 → delta=13.0 window 1d confidence 0.86 signal-v1 evidence
Anomaly prime-agent coding

daily change 15.0 is -3.7 standard deviations from this entity's own prior mean (171.7±41.8, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=171.7 → delta=15.0 window 1d confidence 0.69 signal-v1 evidence timeline
Reactivated mcp-toolbox skill

github_stars did not move for 7d, then gained 136 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating mcp-toolbox skill

github_stars gained 136 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=136 window 3d confidence 0.75 signal-v1 evidence timeline
Accelerating THU-MAIC/OpenMAIC

github_stars gained 2144 in the last 3d vs 1360 in the 3d before (ratio 1.6x, threshold 1.5x)

gain_3d=1360 → gain_3d=2144 window 3d confidence 0.90 signal-v1 evidence
Anomaly cc-switch skill

daily change 33.0 is -3.9 standard deviations from this entity's own prior mean (205.8±43.9, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=205.8 → delta=33.0 window 1d confidence 0.70 signal-v1 evidence timeline
Accelerating chatwoot/chatwoot

github_stars gained 105 in the last 3d vs 69 in the 3d before (ratio 1.5x, threshold 1.5x)

gain_3d=69 → gain_3d=105 window 3d confidence 0.90 signal-v1 evidence
Anomaly jamiepine/voicebox

daily change 17.0 is -100.0 standard deviations from this entity's own prior mean (117.0±0.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=117.0 → delta=17.0 window 1d confidence 0.90 signal-v1 evidence
Reactivated JerryZLiu/Dayflow

github_stars did not move for 7d, then gained 211 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating JerryZLiu/Dayflow

github_stars gained 211 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=211 window 3d confidence 0.75 signal-v1 evidence
Anomaly genoffice productivity

daily change 20.0 is -5.4 standard deviations from this entity's own prior mean (236.0±39.9, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=236.0 → delta=20.0 window 1d confidence 0.77 signal-v1 evidence timeline
Accelerating superpowers skill

github_stars gained 226 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=226 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated nuwa-skill skill

github_stars did not move for 7d, then gained 2198 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating nuwa-skill skill

github_stars gained 2198 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=2198 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated cc-connect skill

github_stars did not move for 7d, then gained 1417 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating cc-connect skill

github_stars gained 1417 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=1417 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated autoskills skill

github_stars did not move for 7d, then gained 81 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating autoskills skill

github_stars gained 81 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=81 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated jamiepine/voicebox

github_stars did not move for 7d, then gained 2107 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating jamiepine/voicebox

github_stars gained 2107 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=2107 window 3d confidence 0.75 signal-v1 evidence
Accelerating open-codex-computer-use skill

github_stars gained 276 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=276 window 3d confidence 0.75 signal-v1 evidence timeline
Reactivated macro workflow

github_stars did not move for 7d, then gained 331 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating macro workflow

github_stars gained 331 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=331 window 3d confidence 0.75 signal-v1 evidence timeline
Cooling aidlc-workflows skill

github_stars momentum fell to 0 per 3d from 34 (<= 40% of the prior window)

gain_3d=34 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence timeline
Cooling I built a DAW + an AI CoProducer. Would love your feedback! It's free, all features unlocked, full rights.

reddit_score momentum fell to 0 per 3d from 53 (<= 40% of the prior window)

gain_3d=53 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Cooling Monid skill

producthunt_votes momentum fell to 13 per 3d from 91 (<= 40% of the prior window)

gain_3d=91 → gain_3d=13 window 3d confidence 0.85 signal-v1 evidence timeline
Anomaly distilly skill

daily change 86.0 is 8.6 standard deviations from this entity's own prior mean (25.5±7.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=25.5 → delta=86.0 window 1d confidence 0.90 signal-v1 evidence timeline
Accelerating distilly skill

github_stars gained 129 in the last 3d vs 73 in the 3d before (ratio 1.8x, threshold 1.5x)

gain_3d=73 → gain_3d=129 window 3d confidence 0.90 signal-v1 evidence timeline
Accelerating GraphiteEditor/Graphite

github_stars gained 87 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=87 window 3d confidence 0.75 signal-v1 evidence
Anomaly zubair-trabzada/geo-seo-claude

daily change 74.0 is 24.6 standard deviations from this entity's own prior mean (37.3±1.5, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=37.3 → delta=74.0 window 1d confidence 0.90 signal-v1 evidence
Accelerating zubair-trabzada/geo-seo-claude

github_stars gained 264 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=264 window 3d confidence 0.75 signal-v1 evidence
Cooling sngyai/Sequoia-X

github_stars momentum fell to 0 per 3d from 300 (<= 40% of the prior window)

gain_3d=300 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Cooling HN Match Maker – Matching "Who Wants to Be Hired?" With "Who's Hiring?"

hn_points momentum fell to 0 per 3d from 11 (<= 40% of the prior window)

gain_3d=11 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Accelerating Kilo Code for JetBrains coding

producthunt_votes gained 15 in the last 3d vs 3 in the 3d before (ratio 5.0x, threshold 1.5x)

gain_3d=3 → gain_3d=15 window 3d confidence 0.90 signal-v1 evidence timeline
Cooling averygan/reclip

github_stars momentum fell to 0 per 3d from 337 (<= 40% of the prior window)

gain_3d=337 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Accelerating Aaalice233/Aaalice_NAI_Launcher

github_stars gained 9 in the last 3d vs 1 in the 3d before (ratio 9.0x, threshold 1.5x)

gain_3d=1 → gain_3d=9 window 3d confidence 0.90 signal-v1 evidence
Anomaly cve-mcp-server skill

daily change 10.0 is -6.3 standard deviations from this entity's own prior mean (17.7±1.2, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=17.7 → delta=10.0 window 1d confidence 0.82 signal-v1 evidence timeline
Accelerating cve-mcp-server skill

github_stars gained 131 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=131 window 3d confidence 0.75 signal-v1 evidence timeline
Accelerating delegate-skills skill

github_stars gained 172 in the last 3d vs 34 in the 3d before (ratio 5.1x, threshold 1.5x)

gain_3d=34 → gain_3d=172 window 3d confidence 0.90 signal-v1 evidence timeline
Sustained patent-disclosure-skill skill

10d after the breakout, github_stars is 8700 vs 5628 at breakout — still above baseline

breakout@5628 → now@8700 window 10d confidence 0.85 signal-v1 evidence timeline
Accelerating patent-disclosure-skill skill

github_stars gained 940 in the last 3d vs 567 in the 3d before (ratio 1.7x, threshold 1.5x)

gain_3d=567 → gain_3d=940 window 3d confidence 0.90 signal-v1 evidence timeline
Cooling pollen-robotics/microduck_rl

github_stars momentum fell to 117 per 3d from 472 (<= 40% of the prior window)

gain_3d=472 → gain_3d=117 window 3d confidence 0.85 signal-v1 evidence
Cooling jeecgboot/jimureport

github_stars momentum fell to 0 per 3d from 18 (<= 40% of the prior window)

gain_3d=18 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence
Reactivated open-slide skill

github_stars did not move for 7d, then gained 193 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence timeline
Accelerating open-slide skill

github_stars gained 193 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=193 window 3d confidence 0.75 signal-v1 evidence timeline
Cooling go-modern-guidelines skill

github_stars momentum fell to 0 per 3d from 47 (<= 40% of the prior window)

gain_3d=47 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence timeline
Sustained garden-skills skill

14d after the breakout, github_stars is 12062 vs 10879 at breakout — still above baseline

breakout@10879 → now@12062 window 14d confidence 0.85 signal-v1 evidence timeline
Cooling We built an observability + evaluation platform for local LLMs. 100% free and open source.

reddit_score momentum fell to 1 per 3d from 33 (<= 40% of the prior window)

gain_3d=33 → gain_3d=1 window 3d confidence 0.85 signal-v1 evidence
Sustained x1 productivity

14d after the breakout, producthunt_votes is 516 vs 367 at breakout — still above baseline

breakout@367 → now@516 window 14d confidence 0.85 signal-v1 evidence timeline
Anomaly cloudflare-os workflow

daily change 16.0 is -3.3 standard deviations from this entity's own prior mean (44.5±8.6, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=44.5 → delta=16.0 window 1d confidence 0.67 signal-v1 evidence timeline
Cooling cloudflare-os workflow

github_stars momentum fell to 0 per 3d from 133 (<= 40% of the prior window)

gain_3d=133 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence timeline
Cooling pi-subagents skill

github_stars momentum fell to 0 per 3d from 11 (<= 40% of the prior window)

gain_3d=11 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence timeline
Anomaly superset skill

daily change 31.0 is -3.0 standard deviations from this entity's own prior mean (41.3±3.4, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=41.3 → delta=31.0 window 1d confidence 0.65 signal-v1 evidence timeline
Anomaly Hyperfocus

daily change 53.0 is 31.6 standard deviations from this entity's own prior mean (21.4±0.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=21.4 → delta=53.0 window 1d confidence 0.90 signal-v1 evidence
Cooling tick-stock-panel research

github_stars momentum fell to 18 per 3d from 317 (<= 40% of the prior window)

gain_3d=317 → gain_3d=18 window 3d confidence 0.85 signal-v1 evidence timeline
Sustained claude-plugins-community skill

17d after the breakout, github_stars is 3688 vs 879 at breakout — still above baseline

breakout@879 → now@3688 window 17d confidence 0.85 signal-v1 evidence timeline
Cooling hao-ai-lab/FastVideo

github_stars momentum fell to 3 per 3d from 314 (<= 40% of the prior window)

gain_3d=314 → gain_3d=3 window 3d confidence 0.85 signal-v1 evidence
Anomaly neka-nat/freecad-mcp

daily change 20.0 is 6.1 standard deviations from this entity's own prior mean (13.9±0.0, baseline excludes this point) — unusual, not necessarily adoption

prior_mean=13.9 → delta=20.0 window 1d confidence 0.80 signal-v1 evidence
Reactivated neka-nat/freecad-mcp

github_stars did not move for 7d, then gained 257 in the last 3d

dormant → active window 10d confidence 0.80 signal-v1 evidence
Accelerating neka-nat/freecad-mcp

github_stars gained 257 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)

gain_3d=0 → gain_3d=257 window 3d confidence 0.75 signal-v1 evidence
Accelerating maka workflow

github_stars gained 302 in the last 3d vs 189 in the 3d before (ratio 1.6x, threshold 1.5x)

gain_3d=189 → gain_3d=302 window 3d confidence 0.90 signal-v1 evidence timeline
Cooling magnitude general

github_stars momentum fell to 499 per 3d from 1745 (<= 40% of the prior window)

gain_3d=1745 → gain_3d=499 window 3d confidence 0.85 signal-v1 evidence timeline
Sustained pipecat voice

15d after the breakout, github_stars is 14745 vs 14398 at breakout — still above baseline

breakout@14398 → now@14745 window 15d confidence 0.85 signal-v1 evidence timeline
Cooling nodeterm skill

github_stars momentum fell to 0 per 3d from 35 (<= 40% of the prior window)

gain_3d=35 → gain_3d=0 window 3d confidence 0.85 signal-v1 evidence timeline
Detector signal-v1. Published thresholds: accelerating = this window's gain ≥ 1.5× the previous window (min +5); cooling = momentum falls to ≤ 40% of the prior window; reactivated = flat for 7d then moving; anomaly = |z| ≥ 3 against the entity's own history. Every number above is recomputable from these constants. Machine feed: /api/v2/changes.