AgentBurn
See what AI agents really cost to run
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AgentBurn tracks what production AI agents actually burn: tokens per task, cost per solved task and framework overhead. 30 agents, 22 priced models, 3 public benchmarks — every field labelled source-backed, derived, or left empty when nothing is public. No invented numbers, no paid placements. Open dataset, leaderboards and a free 3-page sample.
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PH · launched Oct 28, 2026 · 1 upvote (top 67%)
- Horizontal
- Observability & eval
- Developer
- AI-native
- Commercial product
- Developer Tools
- Artificial Intelligence
- Data & Analytics
Similar launches
See all 317 similar launches →Could you build this?
Partial The dashboard and cost-tracking UI are easy to vibe-code, but the value depends on curated, source-backed pricing and benchmark data for 30 agents and 22 models that must be researched and kept current.
What it would actually take: The UI and API layer are standard (a web app with a database and scheduled jobs). The hard part is the data pipeline: sourcing and verifying model pricing, benchmark results, and per-task token measurements, then labelling provenance for each field. Building it credibly needs an ongoing research or data-collection process, plus some way to run agents for real measurements.
Competitors
Other products that read as similar to this one : 317 launches clear the similarity bar, closest 8 shown.
Attention rank: #180 of 318 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 343 days after the earliest competitor.
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