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Kharcha: a 4B model that reads Indian bank SMS so the money stays on your laptop

Kharcha runs a 4-billion-parameter model locally to parse Indian bank SMS securely.

Emerging
Signal score
33
Trajectory
↓ Cooling
7-day est. ~8

Why this scored 33

every term, weighted
Velocity+6.7 / 40

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+19.0 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities are talking about the same entity

Recency+8.5 / 10

Decays to zero over 14 days

Saturation penalty−1.4 / 30

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite32.7

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~8

range 0–20

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
875

projected trajectory (estimate, not a guarantee)

Entities

kharcha
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