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oransim
A Python-based causal digital twin platform that enables marketers to predict the impact of marketing decisions at scale before implementation
verified Jul 16, 2026 · HTTP 200
CohortClass of 2026What it is
A Python-based causal digital twin platform that enables marketers to predict the impact of marketing decisions at scale before implementation. Built on causal inference principles, it helps validate strategies and optimize spend allocation through simulation rather than live experimentation.
HTTP liveness
23 probes since May 23May 23Jul 16
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 17, 2026Back onlineAlive · 200 OK
- May 23, 2026First probe — unverifiedUnknown
- Apr 26, 2026+29 stars1,026 total
- Apr 25, 2026+205 stars997 total
- Apr 24, 2026+197 stars792 total
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VitalsQuiet
Upvotes
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Press
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Pulse Indexobserved activity
482/4 signal families
Liveness40%1.00
Press30%no data
GitHub20%0.38
Tranco10%no data
Weighted observed activity · updated Jul 15
GitHub activitydaily 04:15 UTC
Last commit
8d ago
Last release
—
Open PRs
0
Open issues
2
Contributors 30d
1
Closed 30d
0
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y