Every timestamped buying signal GTMOS has observed: hiring surges, launches, funding, product usage and web intent. Signals decay over time, feed the ICP and intent score, and can trigger workflows.
Newest first · value now = confidence × relative strength × half-life decay
| Observed | Account | Signal | Source | Conf. | Strength | Value now |
|---|---|---|---|---|---|---|
C53 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed |
| 85% |
| 0.65 |
82% |
C49 | Relevant job postingIntentDEMO Posted: Applied Scientist, Model Evaluation Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 82% |
D10 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 82% |
D27 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 82% |
D30 | Relevant job postingIntentDEMO Posted: Senior Engineer, Agent Infrastructure Job posting 'Senior Engineer, Agent Infrastructure' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 82% |
B64 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 82% |
C54 | Relevant job postingIntentDEMO Posted: ML Platform Engineer (LLM Ops) Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 81% |
B61 | Relevant job postingIntentDEMO Posted: Senior Engineer, Agent Infrastructure Job posting 'Senior Engineer, Agent Infrastructure' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 81% |
D43 | Relevant job postingIntentDEMO Posted: Applied Scientist, Model Evaluation Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 81% |
C52 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 81% |
C49 | Relevant job postingIntentDEMO Posted: Applied Scientist, Model Evaluation Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 81% |
B60 | Relevant job postingIntentDEMO Posted: ML Platform Engineer (LLM Ops) Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
B65 | Relevant job postingIntentDEMO Posted: Applied Scientist, Model Evaluation Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
D31 | Relevant job postingIntentDEMO Posted: Senior Engineer, Agent Infrastructure Job posting 'Senior Engineer, Agent Infrastructure' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
C46 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
B64 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
B68 | Relevant job postingIntentDEMO Posted: ML Platform Engineer (LLM Ops) Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
C46 | Relevant job postingIntentDEMO Posted: Applied Scientist, Model Evaluation Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
C55 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 80% |
C53 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
C49 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
C54 | Relevant job postingIntentDEMO Posted: ML Platform Engineer (LLM Ops) Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
C57 | Relevant job postingIntentDEMO Posted: Senior Engineer, Agent Infrastructure Job posting 'Senior Engineer, Agent Infrastructure' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
C56 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
D19 | Relevant job postingIntentDEMO Posted: AI Reliability Engineer Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO). | demo_signal_feed | 85% | 0.65 | 79% |
A signal is a timestamped, sourced event that suggests an account may be ready to buy: an AI hiring surge, a product launch, a funding round, a pricing-page visit. Every signal keeps its source, confidence and evidence.
Half-life decay. A signal's weight halves every N days (set per type), so a launch from yesterday outweighs one from last quarter. Value now = confidence × strength relative to what is typical for the type × 0.5age / half-life.
What they drive. Signals feed the intent and timing categories of the ICP score, and new signals can trigger workflows (research, drafting, routing) with a human approving anything outbound.
Category and half-life per type · disqualifying types subtract points