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 |
|---|---|---|---|---|---|---|
D38 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' mentions evaluation and reliability of LLM systems (DEMO). |
| 85% |
| 0.65 |
68% |
C50 | 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 | 68% |
D33 | 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 | 68% |
D35 | 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 | 68% |
A98 | Relevant job postingIntentDEMO Posted: Staff Engineer, LLM Evaluation Job posting 'Staff Engineer, LLM Evaluation' asks for experience building eval harnesses and monitoring agent regressions (DEMO). | demo_signal_feed | 90% | 0.65 | 71% |
C53 | 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 | 67% |
C50 | 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 | 67% |
D33 | 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 | 67% |
B71 | 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 | 67% |
C55 | 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 | 67% |
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 | 67% |
D32 | 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 | 67% |
B62 | 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 | 66% |
B60 | 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 | 66% |
C45 | 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 | 66% |
D29 | 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 | 66% |
D41 | 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 | 66% |
A79 | 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 | 66% |
D36 | 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 | 66% |
C51 | 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 | 66% |
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 | 66% |
C52 | 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 | 66% |
D44 | 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 | 65% |
A76 | 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 | 65% |
D29 | 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 | 65% |
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