Board Position
#3 · AI coding still leads, while agent products are starting to break out.
opik is currently ranked #3 on the Momentum board. First time on the board. Active window: 24h.
Score75
Confidence78%
Surge+8%
Sourcesgithub
NEW
Reading Flow
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Tool Detail
opik
AI Coding
opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
AI CodingGitHubevaluationhacktoberfesthacktoberfest2025github
opik appears on 2 boards right now, with the primary position at #3 on Momentum.
This signal is supported by GitHub, spanning 1 source directions.
The system has tracked this tool for 9 runs, first seen Apr 20, 13:18 and most recently updated Oct 16, 08:32.
Score75
Weekly growth+8%
Confidence78%
Primary statusMomentum #3
NEW · First time on the board
Discovery statusWatchlist
Pool score 80, based on 1 contributing sources.
Tracked runs9
First seen Apr 20, 13:18, last updated Oct 16, 08:32.
Source coverage1
GitHub
7-day score trend
GitHub signals are derived from stars, forks, watchers, and recent activity.7-day rank movement
Lower numbers are closer to the top#5D1
#3D2
#4D3
#4D4
#4D5
#4D6
#3D7
Signal summary
opik appears on 2 boards right now, with the primary position at #3 on Momentum.
This signal is supported by GitHub, spanning 1 source directions.
The system has tracked this tool for 9 runs, first seen Apr 20, 13:18 and most recently updated Oct 16, 08:32.
Discovery assessment
Discovery originPrimary provider
1 sources contributed to the candidate judgement.
Candidate typeProduct candidate
Currently in the Watchlist stage.
Quality score87
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.
Path contains product-page signals: docsText looks more like product copy: agentIncludes product-like sourcesSource copy looks product-like: agent
System judgement
This section shows how source page evidence, multi-run stability, and auto-promotion logic are combined into the candidate judgement.
Source page evidence+7
1 matched
Stability6 consecutive runs
watchlist 6 · ranked 1 · strong 6
Recent snapshotBest 96
Last seen Oct 12, 15:35
Why the system thinks so
Source page evidence: Source copy looks product-like: agent
Board footprint
Momentum#3
NEWFirst time on the board
Score 75Confidence 78%Surge +8%
Newcomers#12
NEWFirst time on the board
Score 75Confidence 78%Surge +8%
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: 75. 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
2026-10-16 08:31
Stars 22643 / Forks 1864 / Watchers 135 / Issues 191 / Active 0d
Cached source page
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.
Cached pages1
Total number of fetched pages that are currently available to display.
Successful pages1
Pages fetched successfully with a readable title and summary.
Failed / stale0 / 0
Failed pages will be retried, and stale pages will be refreshed in later syncs.
Domains covered1
Broader domain overlap usually suggests the signal is not just isolated noise.
Status filter
Showing 1 / 1 pages
Sorted by fetch success, freshness, and summary richnessHigh value · 1
High-value hitLinked signalFetch successRich summary
GitHub - comet-ml/opik: Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and producti…
https://github.com/comet-ml/opikOct 16, 08:32
FetchedGitHubgithub.comHTTP 200
Why it is prioritized
The fetch succeeded and the cache is still fresh, which makes this page a strong signal for judging whether the product is active and real.
This evidence is already linked to a raw signal record, so you can continue tracing the source from the signal detail page.
Raw signals
GitHubNewcomers #12
Oct 16, 08:32Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubMomentum #3
Oct 16, 08:32Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubNewcomers #12
Oct 12, 15:35Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubMomentum #4
Oct 12, 15:35Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubNewcomers #11
Sep 23, 14:30Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubMomentum #4
Sep 23, 14:30Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubDurable Growth #4
Jul 31, 13:11Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubNewcomers #2
Jul 31, 13:11Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubMomentum #4
Jul 31, 13:11Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubNewcomers #11
Jul 31, 12:11Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubMomentum #4
Jul 31, 12:11Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
GitHubNewcomers #11
Jun 17, 07:58Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
GitHubevaluationhacktoberfest
Continue reading
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