Board Position

#14 · AI coding still leads, while agent products are starting to break out.

NEW

construction-safety-twin is currently ranked #14 on the Momentum board. First time on the board. Active window: 24h.

Score72
Confidence78%
Surge+9%
Sourcesgithub
computer-visionconstruction-safety

Reading Flow

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GitHub repository tracked by Signal Atlas.

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Tool Detail

construction-safety-twin

AI Coding

construction-safety-twin

AI construction-site safety from CCTV: YOLOE-26l detection + tracking, 8 hazard rules (PPE, zones, machinery, edges, worker down, suspended loads, fire/smoke), interactive 3D digital twin, 5x5 risk register and a grounded risk-assessment chatbot. CS3235 Team 5.

Visit website
AI CodingGitHubcomputer-visionconstruction-safetydigital-twingithub
Signal Read 1

construction-safety-twin appears on 2 boards right now, with the primary position at #14 on Momentum.

Signal Read 2

This signal is supported by GitHub, spanning 1 source directions.

Signal Read 3

The system has tracked this tool for 1 runs, first seen Oct 15, 14:20 and most recently updated Oct 15, 14:20.

Score72
Weekly growth+9%
Confidence78%
Primary statusMomentum #14

NEW · First time on the board

Discovery statusWatchlist

Pool score 74, based on 1 contributing sources.

Tracked runs1

First seen Oct 15, 14:20, last updated Oct 15, 14:20.

Source coverage1

GitHub

7-day score trend
GitHub signals are derived from stars, forks, watchers, and recent activity.
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7-day rank movement
Lower numbers are closer to the top
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Signal summary

construction-safety-twin appears on 2 boards right now, with the primary position at #14 on Momentum.

This signal is supported by GitHub, spanning 1 source directions.

The system has tracked this tool for 1 runs, first seen Oct 15, 14:20 and most recently updated Oct 15, 14:20.

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
Board footprint
Momentum#14
NEW

First time on the board

Score 72Confidence 78%Surge +9%
Newcomers#11
NEW

First time on the board

Score 72Confidence 78%Surge +9%
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: 72. 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
2026-10-15 14:20

Stars 0 / Forks 0 / Watchers 0 / Issues 0 / Active 0d

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
GitHubNewcomers #11
Oct 15, 14:20

AI construction-site safety from CCTV: YOLOE-26l detection + tracking, 8 hazard rules (PPE, zones, machinery, edges, worker down, suspended loads, fire/smoke), interactive 3D digital twin, 5x5 risk register and a grounded risk-assessment chatbot. CS3235 Team 5.

NEWScore 72Confidence 78%Surge +9%
GitHubcomputer-visionconstruction-safety
View crawl detailSnapshot live-20261015142049347056-8c19afOpen source
GitHubMomentum #14
Oct 15, 14:20

AI construction-site safety from CCTV: YOLOE-26l detection + tracking, 8 hazard rules (PPE, zones, machinery, edges, worker down, suspended loads, fire/smoke), interactive 3D digital twin, 5x5 risk register and a grounded risk-assessment chatbot. CS3235 Team 5.

NEWScore 72Confidence 78%Surge +9%
GitHubcomputer-visionconstruction-safety
View crawl detailSnapshot live-20261015142049347056-8c19afOpen source
Continue reading
Peer comparison
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