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/Index/Talentflow/Company-to-company talent-flow graph
T

Company-to-company talent-flow graph

TALENTFLOWManage supplier listing

Company-to-company talent-flow graph: a directed movement matrix built by querying public professional-profile search data for profiles whose current employer is B and whose prior work history lists A, then keeping only the aggregate result count c(A,B) per ordered pair. The published layer applies SpringRank on the movement graph plus net-movement weights w(A,B)=max(c(A,B)-c(B,A),0), a source-quality weighting S(B), a rank-realism inclusion rule and an evidence-confidence shrinkage, to produce a percentile-ranked Company Flow Index banded S/A/B/C/D/E (top 10 / next 20 / next 30 / next 50 / next 80 / rest). Per company it exposes inbound, outbound and net movement evidence and top connected companies; per role it exposes a time-decayed career signal inheriting the company's Flow Index percentile. Companies are unlocked one at a time for a one-off fee, which triggers a fresh pairwise collection run against the live company set.

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Talentflow/Company-to-company talent-flow graph
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Human Resources & Employment Services
Instruments
equities
Categories
AlternativeSentiment
Regions
USAPAC
Sample tickers
GOOGLMETANVDAAMZNMSGSWFC
Dataset card
Type
not stated
Format
Tabular/graph — a pairwise company movement matrix (edge list with counts) plus a per-company index table (band, net, flow index, evidence) rendered in the web app; delivery is via the product's paid per-company unlock, with no public API or bulk export advertised and terms that prohibit scraping or bulk export of the service
Volume
Stated per-company evidence counts give a real handle on volume: indexed companies carry evidence from a few hundred to six figures — Google 155,270; Amazon 169,362; Meta 73,258; Apple 84,991; Wells Fargo 105,624; Bank of America 101,289; NVIDIA 34,692 — while the top-ranked company shows 5,166. Summed across an indexed company set N, the pairwise matrix is order N^2 potential edges with observed evidence counts in the low millions of profile-matches, so the raw matrix is in the 10^5-10^7 observed edge range with per-edge counts from single digits to tens of thousands (inferred from the published per-company evidence figures and the graph's inclusion thresholds)
Users
N/A — the asset is a derived movement graph built from public professional histories, not a user-contributed corpus, so registered users does not describe the data. The commercial base is pay-per-unlock consumers rather than accounts: observable top-100 rankings plus one-off unlock purchases imply a long tail of individual unlocks (inferred from the microtransaction model and a self-serve site with no enterprise sales motion)
History
not stated
Update frequency
not stated
Growth
Active but early — the site is live and current ('© 2026', rankings refreshed on demand per unlock) and the methodology states coverage is still expanding, with role, tenure and education signals described as planned rather than shipped, and an explicit caveat that 'early data may underrepresent some companies'. The presence of 2026-vintage AI companies at the very top of the index shows the corpus is tracking the current market rather than a stale snapshot.
Launched
~2025-2026 (basis: no founding copy or press exists for the brand, the contact provider has no usable record for it, the site is a thin single-page app with terms governed by Indian law and a 2026 copyright, and the top-ranked companies are 2024-2026-vintage AI firms whose alumni data could not predate them)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Talentflow has not added their own details yet. Not yet on file:

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