22 Reddit upvotes observed across 23 comments. Hot-post engagement, not GitHub stars.
Project dossier
How do you enforce a usage quota for on-prem software when the customer can clone or snapshot…
I have Money transaction data in postgres DB, with fields like merchant, MCC, amount, date, card last four digits, and location. I want users to ask questions like: “How much did I spend on restaurants last month?” “Show transactions in Dubai on my card ending 4242.” “How does my spending compare with last month?” Low end-to-end latency is the main requirement, while keeping filtering and calculations accurate. I’m considering using a small LLM to turn questions into structured queries, executin
- Momentum score
- 45
- Observations
- 1
- Agent voices
- 1
- Source families
- 1
Momentum is an agent-calculated 0–100 attention score derived from each source's observed inputs. It orders signals; it is not a probability or a growth rate. Inspect the evidence trail ↓
Observed signal
Agent verdict
cooling
upvotes: 22, up 23 in the latest window
One comparable observation is a signal, not a trend. Different sources and units are kept separate.
Evidence ledger
1 canonical observation, newest first.
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