[
  {
    "date": "2025-09-29",
    "concept": "fuzzy symbol-graph watch-app",
    "summary": "A watch-app that can back-test and manage performance-counters with a focus on fuzzy symbol-graph.",
    "tags": [
      "fuzzy",
      "symbol-graph",
      "watch-app"
    ],
    "theme": "productivity",
    "slug": "fuzzy-symbol-graph-watch-app",
    "repo_name": "fuzzy-symbol-graph-watch-app-2025-09-29",
    "source": "azure"
  },
  {
    "date": "2025-09-28",
    "concept": "fuzzy service-mesh library",
    "summary": "A library that can transcode and manage terraform states with a focus on fuzzy service-mesh.",
    "tags": [
      "fuzzy",
      "library",
      "service-mesh"
    ],
    "theme": "observability",
    "slug": "fuzzy-service-mesh-library",
    "repo_name": "fuzzy-service-mesh-library-2025-09-28",
    "source": "azure",
    "ai_summary": {
      "text": "The fuzzy service-mesh library ingests and transcodes Terraform state into a mesh-aware model, applying fuzzy matching to relate infrastructure resources to services for better observability. This enables teams to correlate state changes with mesh telemetry, detect drift, and understand topology and SLO impacts in near real time.",
      "examples": [
        "Use the fuzzy service-mesh library to transcode an existing Terraform .tfstate into a fuzzy service graph and export OpenTelemetry spans and metrics for each mesh workload and edge.",
        "Configure the fuzzy service-mesh library to reconcile Terraform state drift into service-mesh policies (timeouts, retries, circuit breakers) by applying fuzzy selectors on service labels and annotations.",
        "Integrate the fuzzy service-mesh library into a canary rollout to tag mesh routes with SLO metadata and emit anomaly alerts when Terraform-applied changes alter traffic distribution beyond fuzzy-defined thresholds."
      ],
      "source": "azure",
      "generated_at": "2025-09-28T07:24:27.319169Z"
    }
  },
  {
    "date": "2025-09-27",
    "concept": "biometric static-site-generator daemon",
    "summary": "A daemon that can summarize and manage discord-channels with a focus on biometric static-site-generator.",
    "tags": [
      "biometric",
      "daemon",
      "static-site-generator"
    ],
    "theme": "automation",
    "slug": "biometric-static-site-generator-daemon",
    "repo_name": "biometric-static-site-generator-daemon-2025-09-27",
    "source": "azure",
    "ai_summary": {
      "text": "A background daemon that summarizes Discord channels and automates a biometric static-site-generator to publish privacy-aware, organized static knowledge hubs. It streamlines content workflows while enforcing biometric redaction and compliance.",
      "examples": [
        "Action 1: Configure the biometric static-site-generator daemon to ingest the #dev-updates Discord channel and auto-publish daily conversation summaries to a static site.",
        "Action 2: Attach a biometric redaction policy to the biometric static-site-generator daemon so it removes PII and sensitive biometric markers from Discord messages before rendering pages.",
        "Action 3: Schedule the biometric static-site-generator daemon to generate tag-based archives and RSS feeds for 'biometric', 'daemon', and 'static-site-generator' Discord channels."
      ],
      "source": "azure",
      "generated_at": "2025-09-27T07:23:19.117621Z"
    }
  },
  {
    "date": "2025-09-26",
    "concept": "generative graphql-gateway service",
    "summary": "A service that can transcode and manage medical-records with a focus on generative graphql-gateway.",
    "tags": [
      "generative",
      "graphql-gateway",
      "service"
    ],
    "theme": "devtools",
    "slug": "generative-graphql-gateway-service",
    "repo_name": "generative-graphql-gateway-service-2025-09-26",
    "source": "azure",
    "ai_summary": {
      "text": "A service that can transcode and manage medical-records with a focus on generative graphql-gateway. It aligns to the devtools theme; touching generative, graphql-gateway, service.",
      "examples": [
        "Ship a tiny generative graphql-gateway service prototype end-to-end (README + demo)",
        "Integrate generative graphql-gateway service into an existing repo and add basic metrics",
        "Instrument generative graphql-gateway service and capture before/after results for one workflow"
      ],
      "source": "offline",
      "generated_at": "2025-09-26T07:28:19.437087Z"
    }
  },
  {
    "date": "2025-09-25",
    "concept": "interpretable symbol-graph desktop-app",
    "summary": "A desktop-app that can back-test and manage json-api with a focus on interpretable symbol-graph.",
    "tags": [
      "desktop-app",
      "interpretable",
      "symbol-graph"
    ],
    "theme": "data",
    "slug": "interpretable-symbol-graph-desktop-app",
    "repo_name": "interpretable-symbol-graph-desktop-app-2025-09-25",
    "source": "azure",
    "ai_summary": {
      "text": "A desktop-app that can back-test and manage json-api with a focus on interpretable symbol-graph. It aligns to the data theme; touching desktop-app, interpretable, symbol-graph.",
      "examples": [
        "Ship a tiny interpretable symbol-graph desktop-app prototype end-to-end (README + demo)",
        "Integrate interpretable symbol-graph desktop-app into an existing repo and add basic metrics",
        "Instrument interpretable symbol-graph desktop-app and capture before/after results for one workflow"
      ],
      "source": "offline",
      "generated_at": "2025-09-25T07:28:54.515965Z"
    }
  },
  {
    "date": "2025-09-24",
    "concept": "distributed augmented-reality framework",
    "summary": "A framework that can authenticate and manage financial-statements with a focus on distributed augmented-reality.",
    "tags": [
      "augmented-reality",
      "distributed",
      "framework"
    ],
    "theme": "security",
    "slug": "distributed-augmented-reality-framework",
    "repo_name": "distributed-augmented-reality-framework-2025-09-24",
    "source": "azure",
    "ai_summary": {
      "text": "A framework that can authenticate and manage financial-statements with a focus on distributed augmented-reality. It aligns to the security theme; touching augmented-reality, distributed, framework.",
      "examples": [
        "Ship a tiny distributed augmented-reality framework prototype end-to-end (README + demo)",
        "Integrate distributed augmented-reality framework into an existing repo and add basic metrics",
        "Instrument distributed augmented-reality framework and capture before/after results for one workflow"
      ],
      "source": "offline",
      "generated_at": "2025-09-24T07:28:42.377755Z"
    }
  },
  {
    "date": "2025-09-23",
    "concept": "stateless data-lineage cli",
    "summary": "A cli that can embed and manage performance-counters with a focus on stateless data-lineage.",
    "tags": [
      "cli",
      "data-lineage",
      "stateless"
    ],
    "theme": "ml",
    "slug": "stateless-data-lineage-cli",
    "repo_name": "stateless-data-lineage-cli-2025-09-23",
    "source": "azure",
    "ai_summary": {
      "text": "A command-line tool that embeds and manages performance counters across ML pipelines while emitting stateless data-lineage events, enabling reproducible tracking without persistent state. It lets teams trace dataset/model transformations and benchmark runs end-to-end with minimal overhead.",
      "examples": [
        "Action 1: Use the stateless data-lineage cli to embed performance-counters (latency, throughput, GPU-util) into a training job and tag them with a run-id and model-version.",
        "Action 2: Emit stateless lineage events for each dataset→feature→model transformation step and route them to a collector using the stateless data-lineage cli.",
        "Action 3: Export a lineage graph and counter summary for a specific run by aggregating emitted events with the stateless data-lineage cli and write the report to JSON for CI artifacts."
      ],
      "source": "azure",
      "generated_at": "2025-09-23T07:28:05.218685Z"
    }
  },
  {
    "date": "2025-09-22",
    "concept": "collaborative dns cli",
    "summary": "A cli that can prune and manage performance-counters with a focus on collaborative dns.",
    "tags": [
      "cli",
      "collaborative",
      "dns"
    ],
    "theme": "productivity",
    "slug": "collaborative-dns-cli",
    "repo_name": "collaborative-dns-cli-2025-09-22",
    "source": "azure",
    "ai_summary": {
      "text": "A cli that can prune and manage performance-counters with a focus on collaborative dns. It aligns to the productivity theme; touching cli, collaborative, dns.",
      "examples": [
        "Ship a tiny collaborative dns cli prototype end-to-end (README + demo)",
        "Integrate collaborative dns cli into an existing repo and add basic metrics",
        "Instrument collaborative dns cli and capture before/after results for one workflow"
      ],
      "source": "offline",
      "generated_at": "2025-09-22T07:29:03.451430Z"
    }
  },
  {
    "date": "2025-09-21",
    "concept": "containerized etl controller",
    "summary": "A controller that can authenticate and manage docker containers with a focus on containerized etl.",
    "tags": [
      "containerized",
      "controller",
      "etl"
    ],
    "theme": "observability",
    "slug": "containerized-etl-controller",
    "repo_name": "containerized-etl-controller-2025-09-21",
    "source": "azure",
    "ai_summary": {
      "text": "The containerized etl controller authenticates to Docker registries and orchestrates ETL containers end-to-end while providing deep observability into runs, metrics, and logs. It adds reliability and auditability to containerized ETL pipelines at scale.",
      "examples": [
        "Use the containerized etl controller to authenticate against a private Docker registry and pull ETL images for scheduled runs",
        "Configure the containerized etl controller to emit OpenTelemetry traces, Prometheus metrics, and structured logs for each containerized ETL run",
        "Define a job spec for the containerized etl controller to launch ETL containers with resource limits, secrets mounts, and retry policies, and to surface run status via health checks"
      ],
      "source": "azure",
      "generated_at": "2025-09-21T07:23:25.759192Z"
    }
  },
  {
    "date": "2025-09-20",
    "concept": "graph-based metrics virtual-machine",
    "summary": "A virtual-machine that can ingest and manage email with a focus on graph-based metrics.",
    "tags": [
      "graph-based",
      "metrics",
      "virtual-machine"
    ],
    "theme": "automation",
    "slug": "graph-based-metrics-virtual-machine",
    "repo_name": "graph-based-metrics-virtual-machine-2025-09-20",
    "source": "azure",
    "ai_summary": {
      "text": "A graph-based metrics virtual-machine ingests and manages email, building a communication graph and computing actionable metrics to automate insights like influence, anomalies, and workflow bottlenecks. This enables teams to monitor email ecosystems and trigger automated responses based on graph signals.",
      "examples": [
        "Deploy the graph-based metrics virtual-machine via Terraform, mount /data for message storage, and connect IMAP/SMTP credentials to auto-ingest and normalize emails.",
        "Configure the graph-based metrics virtual-machine to generate a sender–recipient communication graph and compute PageRank, betweenness centrality, and community labels on an hourly cron job.",
        "Set up the graph-based metrics virtual-machine to emit webhook alerts when graph anomaly scores exceed a threshold and export daily metrics to S3 and Prometheus for dashboards."
      ],
      "source": "azure",
      "generated_at": "2025-09-20T07:24:47.172830Z"
    }
  }
]