Team Sam
My platform analyzes private and public data to surface emerging SaaS trends, track changes in their momentum, and support investment sourcing and due diligence for venture capital and private equity firms.
Core trick
Embeds company descriptions with Cortex AI_EMBED and scores each against theme vectors to rank companies by fit.
Tags
Description
My platform analyzes private and public data to surface emerging SaaS trends, track changes in their momentum, and support investment sourcing and due diligence for venture capital and private equity firms.
README excerpt
# synth-signal-intelligence Signal Intelligence dashboard over a synthetic copy of the data model (`SYNTH_SIGNAL_DB`). All data is fictional; nothing here reads from or writes to `ANALYTICS_PROD`. ## Layout ``` sql/ 01_setup_schema.sql # database, 2 schemas, 10 tables 02_seed_synthetic_data.sql # deterministic synthetic data (re-runnable) 03_evidence_views.sql # EVIDENCE schema: unified evidence + attribution views 04_company_profiles.sql # theme definitions, sector profiles, company descriptions 05_crm_on_profile.sql # rewrites CRM note text so ~75% of mentions follow profiles 06_derived_signals.sql # DERIVED schema: theme/quarterly/FDE signals from CRM 07_company_theme_fit.sql # Cortex AI_EMBED fit + COMPANY_THEME_RELEVANCE view 08_seed_emerging_topics.sql # ~640 AI-written seed notes = answer key for topic detection 09_emerging_embeddings.sql # EMERGING schema: record feed + one embedding per distinct text 10_emerging_clustering.sql # CONFIG + CLUSTER_RECORDS() online clustering (Snowpark/numpy) 11_emerging_signals.sql # CLUSTER_MEMBERS, CLUSTER_SIGNALS (velocity, spread, status) 12_emerging_naming_and_review.sql # NAME_CLUSTERS(), PROMOTE_CLUSTER(), REVIEW_CLUSTER() 13_emerging_schedule.sql # stream + hourly task REFRESH_EMERGING (created suspended) 14_market_universe.sql # 600 uncontacted companies, their signals, Cortex fit, SOURCING_TARGETS signal_dashboard/ # Strea