Board Position
#12 · AI coding still leads, while agent products are starting to break out.
ml-journey is currently ranked #12 on the Momentum board. Prev #12. Active window: 24h.
Score86
Confidence78%
Surge+19%
Sourcesgithub
→ 0
Reading Flow
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Tool Detail
ml-journey
AI Coding
ml-journey
ML from first principles — Karpathy series (micrograd, makemore) and MScFE econometrics (cointegration, ECM/VECM). Notebooks + implementations.
AI CodingGitHubeconometricsjupyter-notebookfallbackgithub
ml-journey appears on 2 boards right now, with the primary position at #12 on Momentum.
This signal is supported by GitHub, spanning 1 source directions.
The system has tracked this tool for 2 runs, first seen Jun 22, 10:25 and most recently updated Jun 22, 11:27.
Score86
Weekly growth+19%
Confidence78%
Primary statusMomentum #12
→ 0 · Prev #12
Discovery statusWatchlist
Pool score 88, based on 1 contributing sources.
Tracked runs2
First seen Jun 22, 10:25, last updated Jun 22, 11:27.
Source coverage1
GitHub
7-day score trend
GitHub hit rate limits, so the latest successful snapshot is being reused temporarily.7-day rank movement
Lower numbers are closer to the top#12D1
#12D2
#12D3
#12D4
#12D5
#12D6
#12D7
Signal summary
ml-journey appears on 2 boards right now, with the primary position at #12 on Momentum.
This signal is supported by GitHub, spanning 1 source directions.
The system has tracked this tool for 2 runs, first seen Jun 22, 10:25 and most recently updated Jun 22, 11:27.
Discovery assessment
Discovery originPrimary provider
1 sources contributed to the candidate judgement.
Candidate typeProduct candidate
Currently in the Watchlist stage.
Quality score72
Higher scores usually indicate a real product rather than editorial or noisy content.
Manual ruleAutomatic
No manual rule is active, so the system judgement is still automatic.
Includes product-like sources
System judgement
This section shows how source page evidence, multi-run stability, and auto-promotion logic are combined into the candidate judgement.
Stability1 consecutive runs
watchlist 1 · ranked 0 · strong 1
Recent snapshotBest 74
Last seen Jun 22, 10:25
Board footprint
Momentum#12
→ 0Prev #12
Score 86Confidence 78%Surge +19%
Durable Growth#12
7dUp for 7 straight days
Score 86Confidence 78%Surge +19%
Why it matters now
- GitHub is showing a clear upward signal and is worth adding to the watchlist first.
- Current category: AI Coding. A good fit for the watchlist.
- Current board score: 86. A useful starting point for the next round of real-data validation.
What could make it noisy
- The signal still mainly comes from a single source, so more cross-validation is recommended.
- This is still a short-window snapshot and lacks longer-term real history.
Source timeline
2026-06-22 10:24
Reused last successful momentum snapshot from 1h ago
Source page evidence
This panel aggregates source pages the system has already fetched and cached, so you can judge whether the tool points to a real product site, an editorial page, or just a seed domain.
No source page evidence has been cached yet. Future syncs or on-demand detail fetches will populate this section.
Raw signals
GitHubDurable Growth #12
Jun 22, 11:27ML from first principles — Karpathy series (micrograd, makemore) and MScFE econometrics (cointegration, ECM/VECM). Notebooks + implementations.
GitHubeconometricsjupyter-notebook
GitHubMomentum #12
Jun 22, 11:27ML from first principles — Karpathy series (micrograd, makemore) and MScFE econometrics (cointegration, ECM/VECM). Notebooks + implementations.
GitHubeconometricsjupyter-notebook
GitHubNewcomers #9
Jun 22, 10:25ML from first principles — Karpathy series (micrograd, makemore) and MScFE econometrics (cointegration, ECM/VECM). Notebooks + implementations.
GitHubeconometricsjupyter-notebook
GitHubMomentum #12
Jun 22, 10:25ML from first principles — Karpathy series (micrograd, makemore) and MScFE econometrics (cointegration, ECM/VECM). Notebooks + implementations.
GitHubeconometricsjupyter-notebook
Continue reading
Peer comparison
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