Obvious Later · Today's Question
Record your view privately before the community view is revealed. Build a timestamped record of what you believed before it became obvious.
Why it matters
Several companies have moved orbital computing hardware from concept toward flight between 2024 and 2026 — Lonestar's lunar-bound storage payloads, Axiom Space's ODC nodes hosted on Kepler's optical relay satellites, Starcloud's H100-equipped demonstrator, and Google's Project Suncatcher research direction. Most of what has flown so far is best described as onboard processing, edge experiments, hosted demonstrations, or provider-to-provider arrangements. This question tracks whether a genuine commercial service is delivered on orbit to an unaffiliated external customer by the end of 2029.
Originating signal
Read the signal →The Community View stays hidden until your view is recorded.
Your forecast has not been recorded yet.
How it works
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Read the question. Set your confidence. Record your view privately.
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After you submit, the community view is revealed.
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As questions resolve, your record grows into a factual timeline of what you saw early.
Track record
Every view you record is timestamped. Your record grows as questions resolve.
Views on record
0
Public views
0
Avg. confidence
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Resolved views
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Judgment metrics
Available once enough questions resolve
Accuracy and calibration appear here after enough of your questions have resolved. Until then, only the factual metrics above are shown.
Signals
Signals are the underlying intelligence. Questions turn them into personal, timestamped views.
NASA has successfully launched the DISSOLUTION mission, which used a main rocket payload and four smaller sub-payloads to simultaneously measure the plasma environment within high-altitude clouds known to disrupt radio and GPS signals.
The Drug Supply Chain Security Act (DSCSA) now requires a fully electronic, interoperable system to trace prescription drugs at the individual package level throughout the U.S. supply chain, marking a significant shift in pharmaceutical logistics and security.
Google has developed TimesFM-3, a large, pre-trained foundation model designed for zero-shot time-series forecasting, claiming state-of-the-art performance on unseen data without model-specific training.
Credibility
Every question has clear resolution criteria. Your view is recorded before the community view is revealed. Accuracy requires time and sufficient resolved outcomes.