kelet.ai's rivals

Diagnoses production failures in artificial intelligence agents and large language model applications to generate fixes.

10 rivals in town0 with an ownerSee them on the map ↗Generated 2026-10-23 01:16 UTC
Bulldoze all 10: $10

One checkout, and nobody learns it was you. Every one of them is evicted, nobody moves in, and each lot reopens at $1.

  1. selfship.ainobody's claimed it

    Finds failure points from user interactions and opens eval-backed pull requests for review.

    In town ↗
  2. trainlyai.comnobody's claimed it

    Detects anomalies in AI agents to prevent silent failures.

    In town ↗
  3. fixbugs.ainobody's claimed it

    AI debugging agent that triages alerts, detects bugs, and resolves them automatically for engineering teams.

    In town ↗
  4. befailproof.ainobody's claimed it

    Provides an end-to-end failure layer for teams building AI agents.

    In town ↗
  5. splabs.ionobody's claimed it

    Analyzes artificial intelligence models through a human psychological lens to detect drift, failures, and misread user intent, allowing users to tune and improve model responses.

    In town ↗
  6. raindrop.ainobody's claimed it

    Monitors AI agents in production to detect failures and pinpoint issues quickly. It helps trace problems and verify fixes. It offers real-time alerts for silent agent failures.

    In town ↗
  7. retraceai.technobody's claimed it

    Records, replays, and debugs AI agent executions by tracking LLM calls, tool calls, and errors.

    In town ↗
  8. lmnr.ainobody's claimed it

    Provides open-source observability for AI agents, enabling tracing, evaluation, and debugging. It automatically identifies agent failures by capturing LLM, tool, and sub-agent calls along with costs and tokens.

    In town ↗
  9. trulayer.ainobody's claimed it

    Provides real-time tracing, evaluation, and automated rollback for production artificial intelligence applications.

    In town ↗
  10. problems.devnobody's claimed it

    Captures agent tool failures, publishes status pages, and returns known fixes to agents via MCP server or CLI.

    In town ↗

How rivals are picked

Every square's description is compared with every other square's, and the closest thirty are read by an AI that keeps only real alternatives: products a customer would weigh against kelet.ai. Add-ons, companion apps and neighbouring niches are left out. It reads what each site says about itself, so it can be wrong; tell us when it is.

Bulldozing costs what evicting costs: double what the owner paid, $1 minimum. It's anonymous, nobody moves in, and the lot reopens at $1, so they can come back. The longer version is evict your competitor.