blocktorch
  • Overview
    • Introduction
    • Install/Setup
    • Quickstart
  • Concepts
    • Data Sources
      • EVM Chains
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        • Setup Hardhat fork
        • Setup managed Hardhat Fork
        • Hardhat forking API
      • Smart Contracts
        • Adding smart contracts
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        • Navigating the AA Explorer
      • Decentralized Datastorage
      • React Frontends
    • Querying data
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    • Searching
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    • Monitoring
      • Building monitors
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    • Tracing
      • Stack traces
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    • Collaborating
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      • Step debugger
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    • Predicting
  • Ressources
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  1. Use cases

Predicting

Coming soon....Blocktorch's prediction algorithms are WIP 🔮

PreviousPost mortemNextDemo videos

Last updated 1 year ago

We are currently working on POCs for prediction. If you are interested in starting a POC or becoming a design partner to have your hands on the Blocktorch Fire Beetle Prediction first and shape its roadmap please

Blocktorch's Fire Beetle Prediction will be key in improving observability, making web3 DevOps more efficient, and increasing threat detection. By using advanced analytics and machine learning, blocktorch's predictive models can guess future system issues, allowing teams to deal with them before they cause problems.

Blocktorch's proprietary prediction helps you spot unusual behavior and track performance changes for a quicker reaction. Furthermore, the algorithms can predict workflow slowdowns and help manage resources better. Especially for threat detection blocktorch's prediction is a valuable , spotting possible security issues early, lowering the chances of breaches and allowing for early action. Adding prediction into these areas in your engineering workflows can boost productivity and strengthen system security.

The black fire beetle is an insect, with sensor design with the ability to detect flames perhaps as far as 80 kilometres away. It can also hear the cracking of the wood and sense combustion products in very small amounts by using supersensitive receptors which are located in tiny pits on the beetle’s chest receptors.

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