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businessentity · one source so far

mclifedesk

for food-app founders

Steadygithub
Signal score
17
as of 3d ago
Live items
1
Trajectory
↓ Cooling
7-day est. ~0

Why this scored 17

every term, weighted
Velocity+0.7 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+12.4 / 25

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

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+7.9 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−3.9 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite17.1

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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

~0

range 0–12

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
035

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    0

    McLife-Desk — 忙碌了一天,回到家,你打开麦当劳,却突然纠结:今天吃了什么?这周点了几次?这个月花了多少钱?热量会不会超标? 于是有了 **McLife Desk 麦门人生工作台**。它记录每一次点麦:日期、餐品、金额与热量,生成专属点餐日历;按当月消费次数和金额解

    Tracks individual McDonald's orders, spending, and calories to generate personal dining reports. · for food-app founders

    githubSteadybusiness−18 saturated6d ago