Collection & Freshness
This page documents how often each metric is updated and how far back history goes. Use it to understand data freshness when building integrations or models.
Collection Approach
We pull metrics via a combination of methods:
- Official APIs -- Used where available and compliant
- Public data collection -- When APIs are limited, we use compliant collection focused on publicly visible counters and public discussion data
- Standardization -- Raw data is normalized to consistent formats across platforms
The goal is reliable, comparable metrics that can be analyzed consistently across companies and over time.
Time Conventions
- Daily aggregates use
America/Los_Angelesday boundaries - Daily values reflect completed prior-day rollups under that day boundary
- Intraday ingestion and end-of-day aggregates are separate views: intraday is event-driven, daily is normalized for one-value-per-day workflows
Social Footprint + Social Mentions
Social momentum, attention, and sentiment signals across daily and intraday workflows.
| Metric | History Start | Collection Frequency |
|---|---|---|
| Instagram followers | 2018-10-30 | Daily snapshot |
| Reddit community subscribers | 2018-10-30 | Daily snapshot |
| YouTube subscribers | 2020-04-05 | Daily snapshot |
| X account followers | 2020-10-25 | Daily snapshot |
| Facebook fans | 2020-11-07 | Daily snapshot |
| TikTok followers | 2021-02-21 | Daily snapshot |
| Stocktwits watchlist subscribers | 2021-05-13 | Daily snapshot |
| Pinterest followers | 2021-11-09 | Daily snapshot |
| Threads followers | 2023-07-02 | Daily snapshot |
| Reddit mentions + sentiment | 2021-02-25 | Intraday ingestion + daily aggregate |
| Stocktwits mentions + sentiment | 2021-09-16 | Daily aggregate |
| 4chan /biz/ mentions | 2023-02-17 | Daily aggregate |
| X cashtag mentions + sentiment | 2025-09-24 | Intraday ingestion + daily aggregate |
Mobile App Intelligence
Consumer demand and engagement proxies from app ecosystems.
| Metric | History Start | Collection Frequency |
|---|---|---|
| iOS downloads | 2021-02-19 | Daily snapshot |
| Android downloads | 2021-01-25 | Daily snapshot |
Job Postings + Employee Reviews
Hiring momentum and labor-sentiment trend analysis.
| Metric | History Start | Collection Frequency |
|---|---|---|
| LinkedIn open job count | 2019-07-15 | Daily snapshot |
| Glassdoor open job count | 2021-01-10 | Daily snapshot |
| Indeed open job count | 2021-01-10 | Monthly snapshot (15th) |
| Glassdoor overall employee rating | 2019-07-15 | Monthly |
Employee Headcount
Workforce size tracking as a leading indicator of company growth or contraction.
| Metric | History Start | Collection Frequency |
|---|---|---|
| LinkedIn employee count | 2021-02-05 | Daily snapshot |
| TipRanks employee count | 2021-06-30 | Daily snapshot |
Web Traffic
Medium-horizon digital demand and brand-interest trend monitoring.
| Metric | History Start | Collection Frequency |
|---|---|---|
| Website traffic estimate | 2020-09-15 | Monthly snapshot |
For quantitative research workflows: Use event-time data where available for intraday research and alerting logic. Use completed daily rollups for stable end-of-day factor construction. Expect occasional backfills/corrections -- the newest processed aggregate value is authoritative. Interpret update cadence as a typical operating range, not a hard SLA commitment.
Data Quality
Our collection approach prioritizes:
- Consistency -- Same methodology applied across all companies
- Accuracy -- Direct mapping to official accounts via our knowledge graph
- Completeness -- Coverage across all major social platforms
- Timeliness -- Daily updates for core metrics, near real-time for discussion data