telemetry.dev
Strong signalLLM observability for AI agents
Launched 12d ago
Signal
68
Velocity
8
What this means
4.5×Growing 4.5× faster than the typical AI Agents launch.
Compared to 58 AI Agents launches at the same age.
Decaying
Vote pace down to 9% of launch speed.
Prediction
Top-5 finish probability
27%
today
Projected end-of-day votes
251range 188–339
Trajectory
decaying
Vote pace down to 9% of launch speed.
Speed vs peers
4.5×
58 AI Agents launches
About
telemetry.dev shows each run of your AI agent as one trace. Each model call and tool call is a span with its duration, tokens, cost, and error. Prompts and evals use the same traces: change a prompt without a deploy, then run it on a dataset and compare the scores with production. Alerts tell you about errors, cost spikes, and agent loops. Connect with our TypeScript or Python SDK, or with the OpenTelemetry exporter that you already use.
AI Summary
Telemetry.dev provides observability for AI agents by visualizing each run as a trace, detailing model and tool call metrics such as duration, tokens, cost, and errors. It integrates with TypeScript, Python SDKs, and OpenTelemetry exporters, enabling prompt adjustments and performance comparisons without redeployment.
Attention & discussion velocity
Performance
Velocity8
Vote pace vs average
Momentum8
Sustained over 6h
Virality12
Spread × engagement
Engagement18
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 readings since we picked it up
- AI analysisAI Agents
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoringbelow the signal threshold for this pass
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.
