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      "event_type": "reddit_post",
      "title": "On Reddit: Local agents on a MacBook Pro M5 finally feel practical to me",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-07T00:00:00Z",
        "end": "2026-06-07T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [
        "01a12bde-35e5-73ed-ba59-8909a3ae52bf"
      ],
      "claim_ids": [
        "01a12bde-35e7-720f-92f4-89d0ad05754c"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [
        "01a12bdf-fa00-7400-a7e5-ac57d4388d4f"
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      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa00-73f9-8edc-13f3aacc0717",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e7-7216-b29c-52ee85e730a4",
      "event_type": "reddit_post",
      "title": "On Reddit: \"your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳 agent-reach is trending on github 23K stars. lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos\" ➡️ a channel map for agent web access?",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-16T00:00:00Z",
        "end": "2026-06-16T23:59:59Z",
        "precision": "day",
        "label": null
      },
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        "01a12bde-35e5-73ed-ba59-8909a3ae52bf"
      ],
      "claim_ids": [
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [
        "01a12bdf-fa01-7306-9799-f4bd1faf9465"
      ],
      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa01-72ff-9735-65e9e4971b69",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e7-721b-8624-cdf75f5614e3",
      "event_type": "reddit_post",
      "title": "On Reddit: \"your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳 agent-reach is trending on github 23K stars. lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos\" ➡️ turns agent web access into a channel map?",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-16T00:00:00Z",
        "end": "2026-06-16T23:59:59Z",
        "precision": "day",
        "label": null
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      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa01-72ff-9735-65e9e4971b69",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e7-7220-802b-5bb67c7be48c",
      "event_type": "reddit_post",
      "title": "On Reddit: A study scanned 42,000 AI agent skills. A quarter were vulnerable, 5% likely malicious. Here is how to extend your coding agent without getting burned",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-23T00:00:00Z",
        "end": "2026-06-23T23:59:59Z",
        "precision": "day",
        "label": null
      },
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        "01a12bde-35e7-721e-8b25-bb108b414001"
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      "launch_episode_id": "01a12bdf-fa01-7307-b0f8-e32821a85d86",
      "review_state": "machine_extracted",
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    },
    {
      "id": "01a12bde-35e8-7069-a4b8-3c573d92d9c7",
      "event_type": "reddit_post",
      "title": "On Reddit: \"your agent can search Twitter, Reddit, YouTube, GitHub, B站, 小红书, LinkedIn, and the open web for free - zero API keys, zero billing 😳 agent-reach now supports 14+ platforms with self-healing routing. one of them dies? it switches to the next backend automatically. 42.7K stars\" ➡️ you using?",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-29T00:00:00Z",
        "end": "2026-06-29T23:59:59Z",
        "precision": "day",
        "label": null
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      "launch_episode_id": "01a12bdf-fa01-730f-aeab-a8cfc68b4696",
      "review_state": "machine_extracted",
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    },
    {
      "id": "01a12bde-35e9-723f-ac61-6be3db52c6a7",
      "event_type": "reddit_post",
      "title": "On Reddit: \"your agent can search Twitter, Reddit, YouTube, GitHub, B站, 小红书, LinkedIn, and the open web for free - zero API keys, zero billing 😳 agent-reach now supports 14+ platforms with self-healing routing. one of them dies? it switches to the next backend automatically. 42.7K stars\" ➡️ useful?",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-29T00:00:00Z",
        "end": "2026-06-29T23:59:59Z",
        "precision": "day",
        "label": null
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        "01a12bde-35e8-7067-a5f8-c8fae0b1c984"
      ],
      "metric_snapshot_ids": [],
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      "launch_episode_id": "01a12bdf-fa01-730f-aeab-a8cfc68b4696",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e9-7244-826f-592d9f954e80",
      "event_type": "reddit_post",
      "title": "On Reddit: Distribution is the whole game, but what about the API costs? is social listening actually in your pipeline?",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-06-30T00:00:00Z",
        "end": "2026-06-30T23:59:59Z",
        "precision": "day",
        "label": null
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      "metric_snapshot_ids": [],
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      "launch_episode_id": "01a12bdf-fa01-730f-aeab-a8cfc68b4696",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e9-7249-9b2f-17172458e8da",
      "event_type": "reddit_post",
      "title": "On Reddit: Show Reddit: AI Workforce OS — Open-Source Autonomous AI Organization & Multi-Agent Orchestrator (Ollama, OpenHands, OpenClaw, ChatDev, RTK Token Killer & Real Obsidian Memory)",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-07-24T00:00:00Z",
        "end": "2026-07-24T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [
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      "claim_ids": [
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      "outcome_ids": [
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      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa02-7371-a8d9-b4587a0940e2",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e9-724e-b33e-04a1574bfe6b",
      "event_type": "reddit_post",
      "title": "On Reddit: 7 small agent skills that change how I use coding agents",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-09-09T00:00:00Z",
        "end": "2026-09-09T23:59:59Z",
        "precision": "day",
        "label": null
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      "claim_ids": [
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      "launch_episode_id": "01a12bdf-fa02-7378-aed4-9774ce64b789",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e9-7253-ad5d-9b3738650867",
      "event_type": "reddit_post",
      "title": "On Reddit: Turn Hermes Into an AI Team, Not One Giant Agent",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-09-10T00:00:00Z",
        "end": "2026-09-10T23:59:59Z",
        "precision": "day",
        "label": null
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      "launch_episode_id": "01a12bdf-fa02-7378-aed4-9774ce64b789",
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    },
    {
      "id": "01a12bde-35e9-7258-9e74-6c2089674f7b",
      "event_type": "reddit_post",
      "title": "On Reddit: 5 open-source repos to let AI agents collect data from the web",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-09-16T00:00:00Z",
        "end": "2026-09-16T23:59:59Z",
        "precision": "day",
        "label": null
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      "surface_ids": [
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      "outcome_ids": [
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      "launch_episode_id": "01a12bdf-fa02-737f-b937-0b1c3daadde3",
      "review_state": "machine_extracted",
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    },
    {
      "id": "01a12bde-35e9-725d-85f3-217c87928b6c",
      "event_type": "reddit_post",
      "title": "On Reddit: Agent-Reach: give your AI coding agent access to Twitter, Reddit, YouTube, GitHub and more (88k stars)",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-10-03T00:00:00Z",
        "end": "2026-10-03T23:59:59Z",
        "precision": "day",
        "label": null
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      "surface_ids": [
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      "outcome_ids": [
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      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa02-7385-8867-a80b718033d1",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bde-35e9-7262-b3d4-6e2f11aff8c9",
      "event_type": "reddit_post",
      "title": "On Reddit: Agent Reach 1.5.0 on a fresh Windows machine: 5 of 16 channels, one green tick that is wrong, and a lot of work delegated to other tools",
      "summary": "Listed by hand by the person who ran Pigtail. Pigtail records only the title, link and date of Reddit posts.",
      "time": {
        "start": "2026-10-08T00:00:00Z",
        "end": "2026-10-08T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [
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      "claim_ids": [
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      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [
        "01a12bdf-fa02-738f-a4fc-925c1a42f239"
      ],
      "tactic_occurrence_ids": [],
      "launch_episode_id": "01a12bdf-fa02-738b-b400-238f56dea1bc",
      "review_state": "machine_extracted",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f1-71d0-ba37-199d00aa7fdf",
      "event_type": "strategy_change",
      "title": "Routing changed after single-platform CLIs went offline",
      "summary": "In March 2026, a batch of single-platform CLIs stopped being maintained or went offline, and Agent-Reach re-routed to alternative backends.",
      "time": {
        "start": "2026-03-01T00:00:00Z",
        "end": "2026-03-31T23:59:59Z",
        "precision": "month",
        "label": "March 2026"
      },
      "surface_ids": [],
      "claim_ids": [
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        "01a12bde-e35d-70b5-a345-adeddb4e1ef0"
      ],
      "metric_snapshot_ids": [],
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      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-7259-a75f-ad789b214249",
      "event_type": "milestone",
      "title": "First appearance on GitHub Trending (Python #3)",
      "summary": "According to star-history.com, Agent-Reach first appeared on GitHub Trending on June 5, 2026, at #3 in Python.",
      "time": {
        "start": "2026-06-05T00:00:00Z",
        "end": "2026-06-05T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
        "01a12bde-e35b-722e-874e-64cf3756fe7c"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-725b-ad4d-c48196322016",
      "event_type": "reversal",
      "title": "Removed non-working entry points; Bilibili backend switched to bili-cli",
      "summary": "In June 2026, Agent-Reach removed three entry points that had stopped working. After Bilibili blocked yt-dlp (reported as 412 errors), it also switched its Bilibili backend from yt-dlp to bili-cli.",
      "time": {
        "start": "2026-06-01T00:00:00Z",
        "end": "2026-06-30T23:59:59Z",
        "precision": "month",
        "label": "June 2026"
      },
      "surface_ids": [],
      "claim_ids": [
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        "01a12bde-e369-7076-be4f-fd2ce2dd7400",
        "01a12bde-e35c-71e5-abe4-d234c443386d",
        "01a12bde-e35f-73b4-aa8f-4ab3a0a0ac18",
        "01a12bde-e361-7295-bb68-804bcd4e6a0a",
        "01a12bde-e366-7088-b02a-5004e3dce4a7",
        "01a12bde-e366-7094-848e-608f8b9a0625"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [
        "01a12bdf-f9f8-740c-9945-ad364fa25d32"
      ],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-7263-8fdf-bd4ad4ab9ef6",
      "event_type": "milestone",
      "title": "Reached #1 on GitHub Trending",
      "summary": "Star-history.com reports that Agent-Reach trended on GitHub for 32 days, with a best rank of #1 on June 15, 2026. It then ranked #3 across all languages on June 16 and June 18.",
      "time": {
        "start": "2026-06-15T00:00:00Z",
        "end": "2026-06-18T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
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        "01a12bde-e35b-7230-8d58-5e4bb5ed2175"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [
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      "tactic_occurrence_ids": [],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-7266-ae9a-774427774c83",
      "event_type": "press",
      "title": "ToKnow.ai article on Agent-Reach",
      "summary": "ToKnow.ai published an article covering Agent-Reach on June 29, 2026.",
      "time": {
        "start": "2026-06-29T00:00:00Z",
        "end": "2026-06-29T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [],
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      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-726a-b821-7fd587cacd16",
      "event_type": "press",
      "title": "Techbytes article on Agent Reach",
      "summary": "Techbytes published an article covering Agent Reach on August 7, 2026, noting that it surfaced on Hacker News.",
      "time": {
        "start": "2026-08-07T00:00:00Z",
        "end": "2026-08-07T23:59:59Z",
        "precision": "day",
        "label": null
      },
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        "01a12bde-e35a-7192-9043-e87b60d67569"
      ],
      "metric_snapshot_ids": [],
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      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-726d-985c-1810fc15e457",
      "event_type": "milestone",
      "title": "Trendshift #6 overall, #2 in Python",
      "summary": "On September 13, 2026, Agent-Reach gained 726 stars and ranked #6 overall and #2 in Python on Trendshift.",
      "time": {
        "start": "2026-09-13T00:00:00Z",
        "end": "2026-09-13T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
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      "metric_snapshot_ids": [],
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      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-726f-9627-8067d5523159",
      "event_type": "milestone",
      "title": "Second trending peak in early October",
      "summary": "On October 2, 2026, star-history.com reports a #1 ranking across all languages on GitHub Trending, while Trendshift reports #3 overall and #1 in Python. Trendshift recorded the period's highest daily gain (1,194 stars) on October 3.",
      "time": {
        "start": "2026-10-02T00:00:00Z",
        "end": "2026-10-04T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
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        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f",
        "01a12bde-e35e-73db-849b-5f713fd134ff",
        "01a12bde-e35e-73dd-93cf-f1f9be22982d"
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      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-7274-8cc6-d0b2ef73a475",
      "event_type": "milestone",
      "title": "Ranked #5 on GitHub Trending",
      "summary": "Coddykit reported that Agent-Reach ranked #5 on GitHub Trending on October 6, 2026.",
      "time": {
        "start": "2026-10-06T00:00:00Z",
        "end": "2026-10-06T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
        "01a12bde-e359-71c3-9682-80f4ae9276a7"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    },
    {
      "id": "01a12bdf-f9f2-7276-a639-ede7a473516d",
      "event_type": "partnership",
      "title": "Sponsors listed in README",
      "summary": "The repository lists sponsors including BrowserAct, Tencent Cloud OpenClaw, CoreClaw and UCloud AstraFlow.",
      "time": {
        "start": null,
        "end": null,
        "precision": "unknown",
        "label": null
      },
      "surface_ids": [],
      "claim_ids": [
        "01a12bde-e369-7070-bd59-550a5eaa0a59"
      ],
      "metric_snapshot_ids": [],
      "outcome_ids": [],
      "tactic_occurrence_ids": [],
      "launch_episode_id": null,
      "review_state": "machine_inferred",
      "is_negative_sensitive": false
    }
  ],
  "launch_episodes": [
    {
      "id": "01a12bdf-fa00-73e1-82ee-8b202a0b77e6",
      "title": "Launch activity, Mar 2026",
      "time": {
        "start": "2026-03-24T00:00:00Z",
        "end": "2026-03-24T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e6-7396-a41a-b22ca4661f5d"
      ],
      "claim_ids": [
        "01a12bde-35e6-7394-bc8b-d7e9c54284bf"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 10,214 stars the day before; repository 28 days old; first launch episode Pigtail found.",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73e9-88b4-925fc7aaa605",
      "title": "Launch activity, Mar 2026",
      "time": {
        "start": "2026-03-29T00:00:00Z",
        "end": "2026-03-29T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e6-739b-966a-15d8200f57fb",
        "01a12bde-35e6-73a0-bbd9-527e6b428fd2",
        "01a12bde-35e6-73a5-bf65-a38f0810d0f0"
      ],
      "claim_ids": [
        "01a12bde-35e6-7399-a296-ca9ad2765b28",
        "01a12bde-35e6-739e-9964-fb648afcf09c",
        "01a12bde-35e6-73a3-a73c-bc68c022bba4"
      ],
      "summary": "3 related public event(s): reddit post. State before: About 11,791 stars the day before; repository 33 days old; 1 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73f1-94b7-8f9e40a728e0",
      "title": "Launch activity, Apr 2026",
      "time": {
        "start": "2026-04-06T00:00:00Z",
        "end": "2026-04-06T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e6-73aa-8aeb-15f499557e53"
      ],
      "claim_ids": [
        "01a12bde-35e6-73a8-8ad7-dc76834759b9"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 14,850 stars the day before; repository 41 days old; 2 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73f9-8edc-13f3aacc0717",
      "title": "Launch activity, Jun 2026",
      "time": {
        "start": "2026-06-07T00:00:00Z",
        "end": "2026-06-11T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e7-7211-851a-4da1e0880d1d",
        "01a12bdc-ce94-70a6-bf4f-de39c968f7f7",
        "01a12bdc-ce94-70a9-a719-0292f5b62a33",
        "01a12bdc-ce94-70ac-a719-cd59a681f745"
      ],
      "claim_ids": [
        "01a12bde-35e7-720f-92f4-89d0ad05754c",
        "01a12bdc-ce94-70a4-b97d-91b20103742b",
        "01a12bdc-ce94-70a7-a398-e2194d3e6378",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5"
      ],
      "summary": "4 related public event(s): reddit post, release. State before: About 22,069 stars the day before; repository 103 days old; 3 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa01-72ff-9735-65e9e4971b69",
      "title": "Launch activity, Jun 2026",
      "time": {
        "start": "2026-06-16T00:00:00Z",
        "end": "2026-06-16T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e7-7216-b29c-52ee85e730a4",
        "01a12bde-35e7-721b-8624-cdf75f5614e3"
      ],
      "claim_ids": [
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75"
      ],
      "summary": "2 related public event(s): reddit post. State before: About 30,177 stars the day before; repository 112 days old; 4 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa01-7307-b0f8-e32821a85d86",
      "title": "Launch activity, Jun 2026",
      "time": {
        "start": "2026-06-23T00:00:00Z",
        "end": "2026-06-23T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e7-7220-802b-5bb67c7be48c"
      ],
      "claim_ids": [
        "01a12bde-35e7-721e-8b25-bb108b414001"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 37,275 stars the day before; repository 119 days old; 5 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa01-730f-aeab-a8cfc68b4696",
      "title": "Launch activity, Jun 2026",
      "time": {
        "start": "2026-06-29T00:00:00Z",
        "end": "2026-06-30T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e8-7069-a4b8-3c573d92d9c7",
        "01a12bde-35e9-723f-ac61-6be3db52c6a7",
        "01a12bde-35e9-7244-826f-592d9f954e80"
      ],
      "claim_ids": [
        "01a12bde-35e8-7067-a5f8-c8fae0b1c984",
        "01a12bde-35e9-7242-9066-d38c558cad84"
      ],
      "summary": "3 related public event(s): reddit post. State before: About 43,977 stars the day before; repository 125 days old; 6 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7371-a8d9-b4587a0940e2",
      "title": "Launch activity, Jul 2026",
      "time": {
        "start": "2026-07-24T00:00:00Z",
        "end": "2026-07-24T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e9-7249-9b2f-17172458e8da"
      ],
      "claim_ids": [
        "01a12bde-35e9-7247-80b9-6c0db14930e6"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 59,517 stars the day before; repository 150 days old; 7 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7378-aed4-9774ce64b789",
      "title": "Launch activity, Sep 2026",
      "time": {
        "start": "2026-09-09T00:00:00Z",
        "end": "2026-09-10T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e9-724e-b33e-04a1574bfe6b",
        "01a12bde-35e9-7253-ad5d-9b3738650867"
      ],
      "claim_ids": [
        "01a12bde-35e9-724c-afc7-56c51b36c15d",
        "01a12bde-35e9-7251-8839-ebe6ba4e54b8"
      ],
      "summary": "2 related public event(s): reddit post. State before: About 78,444 stars the day before; repository 197 days old; 8 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-737f-b937-0b1c3daadde3",
      "title": "Launch activity, Sep 2026",
      "time": {
        "start": "2026-09-16T00:00:00Z",
        "end": "2026-09-16T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e9-7258-9e74-6c2089674f7b"
      ],
      "claim_ids": [
        "01a12bde-35e9-7256-bfa1-f9c318808431"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 81,685 stars the day before; repository 204 days old; 9 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7385-8867-a80b718033d1",
      "title": "Launch activity, Oct 2026",
      "time": {
        "start": "2026-10-03T00:00:00Z",
        "end": "2026-10-03T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e9-725d-85f3-217c87928b6c"
      ],
      "claim_ids": [
        "01a12bde-35e9-725b-a49d-da4f9fc061a0"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 88,824 stars the day before; repository 221 days old; 10 earlier launch episode(s).",
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-738b-b400-238f56dea1bc",
      "title": "Launch activity, Oct 2026",
      "time": {
        "start": "2026-10-08T00:00:00Z",
        "end": "2026-10-08T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "event_ids": [
        "01a12bde-35e9-7262-b3d4-6e2f11aff8c9"
      ],
      "claim_ids": [
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
      ],
      "summary": "1 related public event(s): reddit post. State before: About 93,515 stars the day before; repository 226 days old; 11 earlier launch episode(s).",
      "review_state": "machine_inferred"
    }
  ],
  "growth_episodes": [
    {
      "id": "01a12bdc-cd5b-73cc-aafc-fac41cf2799b",
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "title": "Sharp star growth, Feb 2026",
      "time": {
        "start": "2026-02-24T00:00:00Z",
        "end": "2026-03-16T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "start_metric_id": "01a12bdc-cd54-7268-9218-31ba5ebc556c",
      "end_metric_id": "01a12bdc-cd55-72a5-ae29-4f4c87ae01f3",
      "delta_numeric": 9239.0,
      "related_event_ids": [
        "01a12bdc-ce93-717f-8d31-69c27ed52c40",
        "01a12bdc-ce94-70a0-b1f8-9a88fbc29aea",
        "01a12bdc-ce94-70a3-913b-223914de3f45"
      ],
      "summary": "+9,239 stars in 21 day(s); peak day Mar 04 with +814. Afterwards (days 31–90) it averaged 189.8 stars/day, which stayed well above the 1.0/day before the episode. 3 public event(s) observed within this window (timing only).",
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd5b-73ca-9c91-db5de3bffafa",
        "01a12bdc-ce93-717d-8273-6c52c76fec73",
        "01a12bdc-ce93-7180-bb2d-70b5c6b9b2b3",
        "01a12bdc-ce94-70a1-b363-e424e8961e24"
      ]
    },
    {
      "id": "01a12bdc-cd5b-73cf-8fd1-314b15b31af7",
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "title": "Sharp star growth, Jun 2026",
      "time": {
        "start": "2026-06-05T00:00:00Z",
        "end": "2026-06-25T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "start_metric_id": "01a12bdc-cd56-7196-abf5-03924e61de0a",
      "end_metric_id": "01a12bdc-cd57-73f0-9e5a-9be5803a6b9c",
      "delta_numeric": 19995.0,
      "related_event_ids": [
        "01a12bdc-ce94-70a6-bf4f-de39c968f7f7",
        "01a12bdc-ce94-70a9-a719-0292f5b62a33",
        "01a12bdc-ce94-70ac-a719-cd59a681f745",
        "01a12bde-35e7-7211-851a-4da1e0880d1d",
        "01a12bde-35e7-7216-b29c-52ee85e730a4",
        "01a12bde-35e7-721b-8624-cdf75f5614e3",
        "01a12bde-35e7-7220-802b-5bb67c7be48c",
        "01a12bdf-f9f2-7259-a75f-ad789b214249",
        "01a12bdf-f9f2-7263-8fdf-bd4ad4ab9ef6"
      ],
      "summary": "+19,995 stars in 21 day(s); peak day Jun 15 with +1,796. Afterwards (days 31–90) it averaged 412.7 stars/day, which stayed well above the 80.4/day before the episode. 9 public event(s) observed within this window (timing only).",
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd5b-73cd-a3c8-8f1b0127a945",
        "01a12bdc-ce94-70a4-b97d-91b20103742b",
        "01a12bdc-ce94-70a7-a398-e2194d3e6378",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5",
        "01a12bde-35e7-720f-92f4-89d0ad05754c",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75",
        "01a12bde-35e7-721e-8b25-bb108b414001",
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bde-e35b-7230-8d58-5e4bb5ed2175"
      ]
    },
    {
      "id": "01a12bdc-cd5b-73d2-9899-90c6ed90208a",
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "title": "Elevated star growth, Oct 2026",
      "time": {
        "start": "2026-10-02T00:00:00Z",
        "end": "2026-10-09T23:59:59Z",
        "precision": "range",
        "label": null
      },
      "start_metric_id": "01a12bdc-cd5a-7155-9623-7a1708cb5f6b",
      "end_metric_id": "01a12bdc-cd5a-715d-9d59-79317828a562",
      "delta_numeric": 7737.0,
      "related_event_ids": [
        "01a12bde-35e9-725d-85f3-217c87928b6c",
        "01a12bde-35e9-7262-b3d4-6e2f11aff8c9",
        "01a12bdf-f9f2-726f-9627-8067d5523159",
        "01a12bdf-f9f2-7274-8cc6-d0b2ef73a475"
      ],
      "summary": "+7,737 stars in 8 day(s); peak day Oct 02 with +1,466. Too recent to say whether the faster pace lasted. 4 public event(s) observed within this window (timing only).",
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd5b-73d0-a90c-95005c1f815c",
        "01a12bde-35e9-725b-a49d-da4f9fc061a0",
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7",
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f",
        "01a12bde-e35e-73db-849b-5f713fd134ff",
        "01a12bde-e35e-73dd-93cf-f1f9be22982d",
        "01a12bde-e359-71c3-9682-80f4ae9276a7"
      ]
    }
  ],
  "metric_snapshots": [
    {
      "id": "01a12bdc-cb1f-7119-b621-31205faaa4e4",
      "metric_key": "github_forks",
      "label": "GitHub forks",
      "value_numeric": 8392.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-10-11T00:00:00Z",
        "end": "2026-10-11T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cb1f-7117-bfb1-d5e77b1a5afd"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
    {
      "id": "01a12bdc-cd54-7268-9218-31ba5ebc556c",
      "metric_key": "github_stars",
      "label": "GitHub stars",
      "value_numeric": 1.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-02-23T00:00:00Z",
        "end": "2026-02-23T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
    {
      "id": "01a12bdc-cd54-7269-9c99-e2581a4da654",
      "metric_key": "github_stars",
      "label": "GitHub stars",
      "value_numeric": 488.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-02-24T00:00:00Z",
        "end": "2026-02-24T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
    {
      "id": "01a12bdc-cd54-726a-a442-13b4b7814bd9",
      "metric_key": "github_stars",
      "label": "GitHub stars",
      "value_numeric": 1222.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-02-25T00:00:00Z",
        "end": "2026-02-25T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
    {
      "id": "01a12bdc-cd54-726b-b58f-36cbf3df8a2f",
      "metric_key": "github_stars",
      "label": "GitHub stars",
      "value_numeric": 1957.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-02-26T00:00:00Z",
        "end": "2026-02-26T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
    {
      "id": "01a12bdc-cd54-726c-97ee-dbdb55268fff",
      "metric_key": "github_stars",
      "label": "GitHub stars",
      "value_numeric": 2458.0,
      "value_text": null,
      "unit": "count",
      "currency": null,
      "time": {
        "start": "2026-02-27T00:00:00Z",
        "end": "2026-02-27T23:59:59Z",
        "precision": "day",
        "label": null
      },
      "repository_id": "01a12bdc-cb1f-7113-b8ea-e2d834458d34",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e"
      ],
      "review_state": "machine_extracted",
      "public_attribution": null
    },
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    },
    {
      "id": "01a12bdf-f9f8-7413-b011-d284d5a9363b",
      "tactic_id": "01a12bdf-f9f8-7412-ae37-651837c4ed9c",
      "event_id": null,
      "strategy_phase_id": null,
      "time": {
        "start": null,
        "end": null,
        "precision": "unknown",
        "label": "undated"
      },
      "implementation": "The README asks users to star the project.",
      "outcome_ids": [],
      "claim_ids": [
        "01a12bde-e369-7082-b1dd-22879b9a98f9"
      ],
      "review_state": "machine_inferred"
    }
  ],
  "growth_engines": [
    {
      "id": "01a12bdf-f9f8-7414-9e2f-0687ccb4df45",
      "name": "GitHub Trending / Trendshift visibility loop",
      "description": "Repeated appearances on trending lists, and a 'Repository of the Day' badge shown in the README.",
      "mechanism": "Trending placement exposes the repo to new visitors, who add stars that sustain the ranking.",
      "status": "candidate",
      "claim_ids": [
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bde-e35b-7230-8d58-5e4bb5ed2175",
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f",
        "01a12bde-e35e-73db-849b-5f713fd134ff",
        "01a12bde-e359-71c3-9682-80f4ae9276a7",
        "01a12bde-e369-706e-ad57-f4e607b5496b",
        "01a12bde-e35d-70b1-93fe-9fe0cf1e5a32"
      ]
    },
    {
      "id": "01a12bdf-f9f8-7416-b482-f4d73a58b22c",
      "name": "Community reposting of the zero-API-fee tagline",
      "description": "Third parties repeatedly reposted the tagline and star counts on Reddit and in articles.",
      "mechanism": "A short, quotable pitch spreads across communities without action from the maintainer.",
      "status": "candidate",
      "claim_ids": [
        "01a12bde-35e6-739e-9964-fb648afcf09c",
        "01a12bde-35e6-73a3-a73c-bc68c022bba4",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75",
        "01a12bde-35e8-7067-a5f8-c8fae0b1c984",
        "01a12bde-35e9-725b-a49d-da4f9fc061a0",
        "01a12bde-e367-71a9-ba95-afff76d027fb"
      ]
    }
  ],
  "growth_engine_occurrences": [
    {
      "id": "01a12bdf-f9f8-7415-8a3a-cf5cd0c33650",
      "growth_engine_id": "01a12bdf-f9f8-7414-9e2f-0687ccb4df45",
      "strategy_phase_ids": [
        "01a12bdf-f9f8-7401-9bd8-911f001ea159"
      ],
      "time": {
        "start": "2026-06-05T00:00:00Z",
        "end": "2026-06-05T23:59:59Z",
        "precision": "day",
        "label": "from June 5, 2026"
      },
      "state": "active",
      "strength": "unknown; trended for 32 days per star-history",
      "tactic_occurrence_ids": [],
      "outcome_ids": [],
      "claim_ids": [
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bde-e35b-7230-8d58-5e4bb5ed2175",
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f",
        "01a12bde-e35e-73db-849b-5f713fd134ff",
        "01a12bde-e359-71c3-9682-80f4ae9276a7",
        "01a12bde-e369-706e-ad57-f4e607b5496b",
        "01a12bde-e35d-70b1-93fe-9fe0cf1e5a32"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f8-7417-b9d2-609ca7148a69",
      "growth_engine_id": "01a12bdf-f9f8-7416-b482-f4d73a58b22c",
      "strategy_phase_ids": [
        "01a12bdf-f9f8-7400-8228-a3512ee891db"
      ],
      "time": {
        "start": "2026-03-29T00:00:00Z",
        "end": "2026-03-29T23:59:59Z",
        "precision": "day",
        "label": "from March 2026"
      },
      "state": "unknown",
      "strength": "unknown",
      "tactic_occurrence_ids": [],
      "outcome_ids": [],
      "claim_ids": [
        "01a12bde-35e6-739e-9964-fb648afcf09c",
        "01a12bde-35e6-73a3-a73c-bc68c022bba4",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75",
        "01a12bde-35e8-7067-a5f8-c8fae0b1c984",
        "01a12bde-35e9-725b-a49d-da4f9fc061a0",
        "01a12bde-e367-71a9-ba95-afff76d027fb"
      ],
      "review_state": "machine_inferred"
    }
  ],
  "outcomes": [
    {
      "id": "01a12bdf-f9f8-7418-94b9-7d5f77cfe98d",
      "summary": "The repo reached 95,839 stars, 8,392 forks and 36 contributors by October 11, 2026. Other sources report 95,558 stars (OSS Insight) and about 96k (findarepo).",
      "event_id": null,
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [],
      "causal_attribution": "unknown",
      "claim_ids": [
        "01a12bdc-cb1f-7117-bfb1-d5e77b1a5afd",
        "01a12bde-e361-7283-8a01-519a517e9d03",
        "01a12bde-e368-735a-9e48-9d89923ed46d"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f9-7212-87d0-26fd5799c1f9",
      "summary": "SCALR, a third party, attributes the rapid star growth to the project avoiding per-platform API bills. The company itself does not make this attribution in the cited claims.",
      "event_id": null,
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bde-e368-734e-a4cb-79e97fdf29e4",
        "01a12bde-e368-7348-9739-7495dacd98ad"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f9-7215-947c-9e162cfdbd26",
      "summary": "The repo first appeared on GitHub Trending on June 5 and hit #1 on June 15, 2026, close in time to the v1.4.x and v1.5.0 releases of June 10–11. This is timing only.",
      "event_id": "01a12bdf-f9f2-7263-8fdf-bd4ad4ab9ef6",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f9-7219-9d57-9602ad83ebd1",
      "summary": "Sources conflict on release status. GitStarClub reported no GitHub release as of September 13, 2026, while GitHub shows releases v1.1.0 through v1.5.0.",
      "event_id": null,
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [],
      "causal_attribution": "unknown",
      "claim_ids": [
        "01a12bde-e361-727f-ad96-06d84008e636",
        "01a12bdc-ce93-717d-8273-6c52c76fec73",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73e8-82c7-72786f48d6db",
      "summary": "Stars went from 10,214 the day before to 37,275 (+24h: +217, +48h: +348, +7d: +3,533, +30d: +7,348, +90d: +27,061). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e6-7396-a41a-b22ca4661f5d",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa00-73e2-8bf4-3caafd678218",
        "01a12bdf-fa00-73e3-b73e-fd843fd00f46",
        "01a12bdf-fa00-73e4-9f53-b1a2812f9c63",
        "01a12bdf-fa00-73e5-83de-2c5ecb760327",
        "01a12bdf-fa00-73e6-b630-96f4f75ee67b",
        "01a12bdf-fa00-73e7-8248-25b446c9decc"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e6-7394-bc8b-d7e9c54284bf"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73f0-b7c8-6c54bc52ba12",
      "summary": "Stars went from 11,791 the day before to 42,808 (+24h: +1,706, +48h: +1,956, +7d: +3,059, +30d: +6,115, +90d: +31,017). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e6-739b-966a-15d8200f57fb",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa00-73ea-a7d6-77529647af07",
        "01a12bdf-fa00-73eb-9831-1863882fff79",
        "01a12bdf-fa00-73ec-8feb-93d679ac9a7e",
        "01a12bdf-fa00-73ed-a1f5-04102be2f943",
        "01a12bdf-fa00-73ee-8915-075bc6c2087a",
        "01a12bdf-fa00-73ef-bafa-1d37820d0138"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e6-7399-a296-ca9ad2765b28"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-73f8-86cc-9cad7888a08c",
      "summary": "Stars went from 14,850 the day before to 50,655 (+24h: +970, +48h: +1,154, +7d: +1,899, +30d: +3,520, +90d: +35,805). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e6-73aa-8aeb-15f499557e53",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa00-73f2-9a50-9bdd2afbe581",
        "01a12bdf-fa00-73f3-a50b-d1b1db0d24b7",
        "01a12bdf-fa00-73f4-b897-585623396b6c",
        "01a12bdf-fa00-73f5-95f1-f7c6d4ff516b",
        "01a12bdf-fa00-73f6-8126-1b6d9e9bfaf8",
        "01a12bdf-fa00-73f7-9621-ffe6f8276402"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e6-73a8-8ad7-dc76834759b9"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa00-7400-a7e5-ac57d4388d4f",
      "summary": "Stars went from 22,069 the day before to 77,783 (+24h: +2,011, +48h: +3,055, +7d: +6,312, +30d: +29,919, +90d: +55,714). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e7-7211-851a-4da1e0880d1d",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa00-73fa-a468-dd33d70318a3",
        "01a12bdf-fa00-73fb-bf1e-a89c28b58a82",
        "01a12bdf-fa00-73fc-aac1-08f00227c3e2",
        "01a12bdf-fa00-73fd-82a1-7efc12a1d06c",
        "01a12bdf-fa00-73fe-a108-39b8cff6b33c",
        "01a12bdf-fa00-73ff-9cec-134241e67b47"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e7-720f-92f4-89d0ad05754c"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa01-7306-9799-f4bd1faf9465",
      "summary": "Stars went from 30,177 the day before to 81,163 (+24h: +2,705, +48h: +3,658, +7d: +7,875, +30d: +26,276, +90d: +50,986). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e7-7216-b29c-52ee85e730a4",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa01-7300-8f26-8dfbe03dbe3e",
        "01a12bdf-fa01-7301-9788-50c8c7771a79",
        "01a12bdf-fa01-7302-aeb2-b029f136a8ab",
        "01a12bdf-fa01-7303-b298-6afe4d669113",
        "01a12bdf-fa01-7304-8018-636d40160897",
        "01a12bdf-fa01-7305-a5c5-2d0c6bd7191c"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa01-730e-a681-4158e2912c13",
      "summary": "Stars went from 37,275 the day before to 84,162 (+24h: +2,133, +48h: +3,424, +7d: +9,282, +30d: +22,242, +90d: +46,887). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e7-7220-802b-5bb67c7be48c",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa01-7308-9eb4-4ad09d4afd49",
        "01a12bdf-fa01-7309-a8b6-b43850bb1a4c",
        "01a12bdf-fa01-730a-9802-7d94fed41cfc",
        "01a12bdf-fa01-730b-8ffe-456335c7fdeb",
        "01a12bdf-fa01-730c-9180-d3a91c6a6ebb",
        "01a12bdf-fa01-730d-8412-84b6a974dc97"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e7-721e-8b25-bb108b414001"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7370-9cc2-30133680242c",
      "summary": "Stars went from 43,977 the day before to 85,551 (+24h: +2,580, +48h: +3,690, +7d: +7,381, +30d: +17,812, +90d: +41,574). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e8-7069-a4b8-3c573d92d9c7",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa01-7310-b05d-fd5c47a0b751",
        "01a12bdf-fa01-7311-b544-6ee0eef87012",
        "01a12bdf-fa02-736c-98cf-a1997068a5dc",
        "01a12bdf-fa02-736d-adab-1ebdb5155504",
        "01a12bdf-fa02-736e-81ee-2ed34f25a54b",
        "01a12bdf-fa02-736f-9f0c-e680b23c232b"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e8-7067-a5f8-c8fae0b1c984"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7377-908e-7d2cfd7f860d",
      "summary": "Stars went from 59,517 the day before to 73,972 (+24h: +555, +48h: +774, +7d: +3,277, +30d: +14,455). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e9-7249-9b2f-17172458e8da",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa02-7372-a247-ffca755ac814",
        "01a12bdf-fa02-7373-905a-9fc1d1e4c0e0",
        "01a12bdf-fa02-7374-b934-686497f57122",
        "01a12bdf-fa02-7375-98b7-de22ba25cfe5",
        "01a12bdf-fa02-7376-9948-b40e9d79a714"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e9-7247-80b9-6c0db14930e6"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-737e-8fd4-05b8bc249e12",
      "summary": "Stars went from 78,444 the day before to 95,095 (+24h: +461, +48h: +643, +7d: +3,691, +30d: +16,651). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e9-724e-b33e-04a1574bfe6b",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa02-7379-a7e4-6ba4f0eb8e5d",
        "01a12bdf-fa02-737a-b321-041b92d25c10",
        "01a12bdf-fa02-737b-927d-a68678a89026",
        "01a12bdf-fa02-737c-a6db-ebe4d68dbe92",
        "01a12bdf-fa02-737d-a008-2578c242daca"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e9-724c-afc7-56c51b36c15d"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-7384-9460-81b38d8ed430",
      "summary": "Stars went from 81,685 the day before to 84,832 (+24h: +813, +48h: +1,129, +7d: +3,147). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e9-7258-9e74-6c2089674f7b",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa02-7380-ac17-952cd7c5154e",
        "01a12bdf-fa02-7381-8764-369ee2c95adc",
        "01a12bdf-fa02-7382-b214-47f8986adc63",
        "01a12bdf-fa02-7383-8066-06783fe66532"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e9-7256-bfa1-f9c318808431"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-738a-8ebc-7f98df49313c",
      "summary": "Stars went from 88,824 the day before to 95,556 (+24h: +2,207, +48h: +3,178, +7d: +6,732). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e9-725d-85f3-217c87928b6c",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa02-7386-813d-b9dfa02277d6",
        "01a12bdf-fa02-7387-a333-f59271072e3d",
        "01a12bdf-fa02-7388-9261-45d9a6fcf864",
        "01a12bdf-fa02-7389-9f43-ba1e651414e0"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e9-725b-a49d-da4f9fc061a0"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-fa02-738f-a4fc-925c1a42f239",
      "summary": "Stars went from 93,515 the day before to 95,556 (+24h: +1,580, +48h: +2,041). Observed after the launch; not proof that the launch caused the change.",
      "event_id": "01a12bde-35e9-7262-b3d4-6e2f11aff8c9",
      "tactic_occurrence_id": null,
      "metric_snapshot_ids": [
        "01a12bdf-fa02-738c-9d74-86b30089e572",
        "01a12bdf-fa02-738d-b0f7-a69f5842156a",
        "01a12bdf-fa02-738e-83e4-5c64976ebc81"
      ],
      "causal_attribution": "weakly_associated",
      "claim_ids": [
        "01a12bdc-cd54-7266-b27b-bd6a8646880e",
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
      ],
      "review_state": "machine_inferred"
    }
  ],
  "prerequisites": [
    {
      "id": "01a12bdf-f9f8-7405-93e4-0ee260e65f81",
      "name": "Target users run agents that can execute shell commands",
      "description": "Target users run agents that can execute shell commands",
      "applies_to_refs": [
        {
          "type": "tactic",
          "id": "01a12bdf-f9f8-7403-894e-64a78ac9c765"
        }
      ],
      "claim_ids": [
        "01a12bde-e369-7072-83b9-ca8bfcd5d241",
        "01a12bde-e35c-71e1-bff2-c9d6c1ef1a65",
        "01a12bde-e362-70cb-8b67-18ae6b2412c4",
        "01a12bde-e369-707c-99f2-30aeb9fd1a70",
        "01a12bde-e361-7291-9ab3-3d9e4fd76082",
        "01a12bde-e368-7350-b0d7-3bb35f7fe9f5",
        "01a12bde-e363-7135-bf9d-5b8f16ea6518"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f8-740a-899f-fa69fddfc5f0",
      "name": "Free backends exist, e.g. cookie auth, public scraping or free services",
      "description": "Free backends exist, e.g. cookie auth, public scraping or free services",
      "applies_to_refs": [
        {
          "type": "tactic",
          "id": "01a12bdf-f9f8-7408-a8da-4768b27cfa2e"
        }
      ],
      "claim_ids": [
        "01a12bde-e369-7074-962f-05ae85032e23",
        "01a12bde-e361-728d-b53a-eaa623e41db0",
        "01a12bde-e35d-70bb-afe9-9fad68d609cb",
        "01a12bde-e35c-71d9-bb00-d80b5500d51f",
        "01a12bde-35e6-739e-9964-fb648afcf09c",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f8-740d-aa2e-f0b4afac9ec0",
      "name": "Multiple upstream tools exist per platform",
      "description": "Multiple upstream tools exist per platform",
      "applies_to_refs": [
        {
          "type": "tactic",
          "id": "01a12bdf-f9f8-740b-8d87-5505c5170a39"
        }
      ],
      "claim_ids": [
        "01a12bde-e363-7137-b27a-cf5518e40ebd",
        "01a12bde-e363-7127-a476-16abe61ee2bc",
        "01a12bde-e366-7094-848e-608f8b9a0625",
        "01a12bde-e369-7076-be4f-fd2ce2dd7400",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5",
        "01a12bde-e368-733c-9a55-df1d5c6d2437",
        "01a12bde-e366-7088-b02a-5004e3dce4a7"
      ],
      "review_state": "machine_inferred"
    }
  ],
  "constraints": [
    {
      "id": "01a12bdf-f9f9-721e-bceb-843122a50e2f",
      "name": "Fragile upstream backends",
      "description": "Channels break when sites patch. ToKnow.ai notes that Agent-Reach's cookie and scraper access breaks whenever a site patches. A third-party summary of the issue tracker says there are reports that the Twitter channel stopped working and that XiaoHongShu login state has been hard to keep fixed.",
      "applies_to_refs": [],
      "claim_ids": [
        "01a12bde-e35c-71d3-b507-32e19d371ee8",
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f9-721f-ab4f-f579256538e8",
      "name": "Login and account requirements",
      "description": "Reddit, X, Xiaohongshu, Facebook and Instagram require login state, cookies or proxies, so they are not zero-config. The project recommends using dedicated accounts.",
      "applies_to_refs": [],
      "claim_ids": [
        "01a12bde-e363-7139-b3e5-6e9f8d5944ed",
        "01a12bde-e362-70bf-be89-3bb3fa5c7632",
        "01a12bde-e368-7342-94b1-47c04350d189",
        "01a12bde-e368-7344-9aab-0a94f04d7603"
      ],
      "review_state": "machine_inferred"
    },
    {
      "id": "01a12bdf-f9f9-7221-949b-263c2aa61e9f",
      "name": "Code maturity",
      "description": "Reviewers describe the codebase as quickly built with no test suite. The package manifest marks it as beta.",
      "applies_to_refs": [],
      "claim_ids": [
        "01a12bde-e367-71ab-a582-ec9d5e4699dc"
      ],
      "review_state": "machine_inferred"
    }
  ],
  "conflicts": [
    {
      "id": "01a12bdf-f9f9-7222-9493-989bcd48f271",
      "summary": "GitHub release v1.1.0 through v1.5.0 are recorded, yet GitStarClub states Agent-Reach had no GitHub release as of September 13, 2026.",
      "claim_ids": [
        "01a12bdc-ce93-717d-8273-6c52c76fec73",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5",
        "01a12bde-e361-727f-ad96-06d84008e636"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bdc-ce93-717d-8273-6c52c76fec73"
        },
        {
          "type": "claim",
          "id": "01a12bdc-ce94-70aa-b77d-1193267ca7f5"
        },
        {
          "type": "claim",
          "id": "01a12bde-e361-727f-ad96-06d84008e636"
        }
      ],
      "status": "unresolved"
    },
    {
      "id": "01a12bdf-f9f9-7223-a1cb-828e6ed49f11",
      "summary": "Sources disagree on the October 2, 2026 ranking: star-history.com reports #1 across all languages on GitHub Trending, while Trendshift reports #3 overall.",
      "claim_ids": [
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bde-e35b-722c-8624-aa72798c2c95"
        },
        {
          "type": "claim",
          "id": "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f"
        }
      ],
      "status": "unresolved"
    },
    {
      "id": "01a12bdf-f9f9-7224-8149-e91fec103455",
      "summary": "Sources describe the growth timeframe differently: one says Agent-Reach reached 92K stars 'in a few weeks', while others describe roughly six months or 'a few months'.",
      "claim_ids": [
        "01a12bde-e35a-718c-9123-22cae0964801",
        "01a12bde-e368-7348-9739-7495dacd98ad",
        "01a12bde-e366-7092-8130-2040f78084ea"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bde-e35a-718c-9123-22cae0964801"
        },
        {
          "type": "claim",
          "id": "01a12bde-e368-7348-9739-7495dacd98ad"
        },
        {
          "type": "claim",
          "id": "01a12bde-e366-7092-8130-2040f78084ea"
        }
      ],
      "status": "unresolved"
    },
    {
      "id": "01a12bdf-f9f9-7225-ac36-06b03dd14184",
      "summary": "Authorship attribution differs: the repository belongs to Panniantong, while one blog lists the author as someone.",
      "claim_ids": [
        "01a12bde-e35a-7196-9164-253b5e03ec07",
        "01a12bde-e367-71a5-a0e7-4e3bea9c5407"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bde-e35a-7196-9164-253b5e03ec07"
        },
        {
          "type": "claim",
          "id": "01a12bde-e367-71a5-a0e7-4e3bea9c5407"
        }
      ],
      "status": "unresolved"
    },
    {
      "id": "01a12bdf-f9f9-7226-b510-ca74eee3725e",
      "summary": "Channel counts vary by source: six of nine channels working on install, versus 6 zero-config channels out of 16 platforms, versus 5 of 16 channels in a Windows test.",
      "claim_ids": [
        "01a12bde-e364-73db-b096-028160a3b21c",
        "01a12bde-e369-7086-b721-b32bbf6597ea",
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bde-e364-73db-b096-028160a3b21c"
        },
        {
          "type": "claim",
          "id": "01a12bde-e369-7086-b721-b32bbf6597ea"
        },
        {
          "type": "claim",
          "id": "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
        }
      ],
      "status": "unresolved"
    },
    {
      "id": "01a12bdf-f9f9-7227-b605-9604c7c1cb68",
      "summary": "Hacker News thread comment counts differ: 4 comments when Pigtail checked versus 2 comments at the Techbytes capture.",
      "claim_ids": [
        "01a12bdc-d24e-7353-854f-a82f30246f77",
        "01a12bde-e35a-7194-91dc-77e8211e0e70"
      ],
      "related_refs": [
        {
          "type": "claim",
          "id": "01a12bdc-d24e-7353-854f-a82f30246f77"
        },
        {
          "type": "claim",
          "id": "01a12bde-e35a-7194-91dc-77e8211e0e70"
        }
      ],
      "status": "unresolved"
    }
  ],
  "gaps": [
    {
      "id": "01a12bdc-d3bf-70dc-b08a-d498db045f82",
      "gap_type": "surface_not_covered",
      "summary": "Reddit's API was not used (turned off for this run), so Reddit posts appear only when web search found them, which is rare, or when they were listed by hand (18 posts). Reddit launches may be missing; growth explanations rely mostly on Hacker News, GitHub and other public web sources.",
      "severity": "material",
      "related_refs": [],
      "surface_key": "reddit"
    },
    {
      "id": "01a12bdf-f9f9-7228-a6e8-125012e6acd2",
      "gap_type": "open_question",
      "summary": "What caused the second star surge in June 2026, and does the company attribute it to anything specific?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12bdf-f9f9-7229-a03a-44e839e6ab29",
      "gap_type": "open_question",
      "summary": "What drove the early-October 2026 trending peak?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12bdf-f9f9-722a-aa56-069d338007c5",
      "gap_type": "open_question",
      "summary": "Who exactly is behind the project, and how do Panniantong and someone relate?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12bdf-f9f9-722b-951d-d540528c0ee5",
      "gap_type": "open_question",
      "summary": "Does the consulting offering or sponsorship generate meaningful revenue?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12bdf-f9f9-722c-a838-706895c089ca",
      "gap_type": "open_question",
      "summary": "What specific changes did v1.1.0–v1.3.0 introduce beyond their release titles?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12bdf-f9f9-722d-9b1c-45def5db5491",
      "gap_type": "open_question",
      "summary": "How were the early-March 2026 stars (5,618 within about 10 days) acquired?",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12be0-4d97-713f-91b4-1d9eea6949bf",
      "gap_type": "surface_not_covered",
      "summary": "No Product Hunt launch was found in permitted sources. Product Hunt's API was not used (it needs your own token), so a launch may exist without being shown.",
      "severity": "minor",
      "related_refs": [],
      "surface_key": "product_hunt"
    },
    {
      "id": "01a12be0-4d97-7140-bec9-826c35b1375e",
      "gap_type": "link_only_surface",
      "summary": "18 Reddit link(s) were found but not read: Reddit content is link-only under Pigtail's source policy.",
      "severity": "minor",
      "related_refs": [],
      "surface_key": "reddit"
    },
    {
      "id": "01a12be0-4d97-7141-8aa9-4f5d541bb7e9",
      "gap_type": "link_only_surface",
      "summary": "1 X/Twitter link(s) were found but not read (link-only policy).",
      "severity": "minor",
      "related_refs": [],
      "surface_key": "x"
    },
    {
      "id": "01a12be0-4d97-7142-b01b-cec1dfa2995f",
      "gap_type": "unsupported_causality",
      "summary": "Several outcomes are shown only as observed after an event; no source measured their cause.",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    },
    {
      "id": "01a12be0-4d97-7143-98b5-35067199dfd9",
      "gap_type": "source_inaccessible",
      "summary": "2 source(s) could not be fetched or parsed (blocked, missing or unreadable); their content is not used.",
      "severity": "minor",
      "related_refs": [],
      "surface_key": null
    }
  ],
  "narrative": {
    "thirty_second": {
      "text": "Agent-Reach is an MIT-licensed Python CLI, created on GitHub on February 24, 2026, that lets AI agents read and search platforms such as X, Reddit, YouTube, GitHub, Bilibili and XiaoHongShu without paid API fees. It had 95,839 stars and 8,392 forks by October 11, 2026. Star history shows three surges: about 9,200 stars in its first three weeks, about 20,000 in June 2026 when it first hit GitHub Trending and reached #1, and about 7,700 in early October during a second trending peak. The project installs by handing an AI agent a one-sentence prompt pointing to an install doc. It frames itself as a layer that picks, installs, health-checks and reroutes between free upstream tools.",
      "claim_ids": [
        "01a12bdc-cb1f-7114-a9b5-2349f20c436f",
        "01a12bdc-cb1f-7117-bfb1-d5e77b1a5afd",
        "01a12bdc-cd5b-73ca-9c91-db5de3bffafa",
        "01a12bdc-cd5b-73cd-a3c8-8f1b0127a945",
        "01a12bdc-cd5b-73d0-a90c-95005c1f815c",
        "01a12bde-e35a-718e-bfa7-905423540a47",
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35c-71cd-9dbb-a650fb7d72f0",
        "01a12bde-e35c-71e1-bff2-c9d6c1ef1a65",
        "01a12bde-e361-728d-b53a-eaa623e41db0"
      ],
      "inference_strength": "explicit"
    },
    "origin": {
      "text": "The repository was created on February 24, 2026. Releases followed quickly: v1.1.0 (Instagram, LinkedIn, Boss直聘) the next day, v1.2.0 (Douyin added, Instagram removed) on February 26, and v1.3.0 (WeChat 公众号 and Windows fixes) on March 4. The stated purpose is to give AI agents access to the internet with no API fees. The original README is in Chinese, with English, Japanese and Korean versions. The README says the author uses the tool daily. The claims do not say why the author started it beyond that.",
      "claim_ids": [
        "01a12bdc-cb1f-7114-a9b5-2349f20c436f",
        "01a12bdc-ce93-717d-8273-6c52c76fec73",
        "01a12bdc-ce93-7180-bb2d-70b5c6b9b2b3",
        "01a12bdc-ce94-70a1-b363-e424e8961e24",
        "01a12bde-e35a-7196-9164-253b5e03ec07",
        "01a12bde-e35c-71d1-89d5-50d034d013a8",
        "01a12bde-e369-707e-8c19-e27e3c998251",
        "01a12bde-e369-7082-b1dd-22879b9a98f9"
      ],
      "inference_strength": "explicit"
    },
    "first_users": {
      "text": "The evidence does not identify specific early users. Some of the earliest audience may have been Chinese-speaking developers. The README was written in Chinese first, early releases added Chinese platforms such as Douyin and WeChat 公众号, and an AtomGit mirror exists for easier access from China. The repo had 5,618 stars about ten days after creation, according to a third-party tracker. Reddit posts quoting a tagline of 'One CLI, zero API fees' appeared from late March to early April 2026. It is not known how these visitors found the repo.",
      "claim_ids": [
        "01a12bde-e35c-71d1-89d5-50d034d013a8",
        "01a12bdc-ce93-7180-bb2d-70b5c6b9b2b3",
        "01a12bdc-ce94-70a1-b363-e424e8961e24",
        "01a12bde-e369-7084-98b0-7ef48dbc252a",
        "01a12bde-e35e-73e5-a171-7c5c532829c2",
        "01a12bde-35e6-739e-9964-fb648afcf09c",
        "01a12bde-35e6-73a3-a73c-bc68c022bba4",
        "01a12bde-35e6-73a8-8ad7-dc76834759b9"
      ],
      "inference_strength": "weak_inference"
    },
    "flywheel": {
      "text": "Two loops appear in the evidence. First, trending lists. The repo first appeared on GitHub Trending on June 5, 2026, reached #1 on June 15, and trended for 32 days. It returned to #1 on October 2, and Trendshift ranked it in its top results on several days. These periods overlap with its largest star surges. Trending exposure likely brought new visitors, and their stars helped keep it ranked, though the claims do not measure this directly. Second, reposting. Reddit posts repeated the zero-API-fee tagline along with growing star counts (23K, then 42.7K, then 88k), and the README asks visitors to star the project. These loops are reconstructed from timing and do not have measured cause and effect.",
      "claim_ids": [
        "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
        "01a12bde-e35b-722c-8624-aa72798c2c95",
        "01a12bde-e35b-722e-874e-64cf3756fe7c",
        "01a12bde-e35b-7230-8d58-5e4bb5ed2175",
        "01a12bdc-cd5b-73cd-a3c8-8f1b0127a945",
        "01a12bdc-cd5b-73d0-a90c-95005c1f815c",
        "01a12bde-e35d-70c7-bcd3-5404a906e2cc",
        "01a12bde-e35d-70c9-9c1e-81b0a40a5d8f",
        "01a12bde-e35e-73db-849b-5f713fd134ff",
        "01a12bde-35e7-7214-a54f-7eb32bbcaa75",
        "01a12bde-35e8-7067-a5f8-c8fae0b1c984",
        "01a12bde-35e9-725b-a49d-da4f9fc061a0",
        "01a12bde-e369-7082-b1dd-22879b9a98f9"
      ],
      "inference_strength": "moderate_inference"
    },
    "did_differently": {
      "text": "Two choices seem to set the project apart. First, it does not write its own scrapers. It describes itself as a capability layer that selects, installs, health-checks and routes between existing free tools such as yt-dlp, gh, Jina Reader and Exa. Each platform has an ordered list of backends. When Bilibili blocked yt-dlp in June 2026, the Bilibili route was switched to bili-cli. A doctor command reports which channels currently work. Second, it removed broken channels openly: v1.4.2 was titled an 'honest slimming' that dropped unmaintained channels. Separately, onboarding is handed to the user's own agent through a one-sentence install prompt, and the tool is also distributed as an agent skill.",
      "claim_ids": [
        "01a12bde-e35c-71cd-9dbb-a650fb7d72f0",
        "01a12bde-e35c-71e3-8dc2-7b0abf7cef06",
        "01a12bde-e362-70c9-823e-f9a0d89be535",
        "01a12bde-e364-73d9-bbdc-04eb932c7cad",
        "01a12bde-e363-7137-b27a-cf5518e40ebd",
        "01a12bde-e366-7094-848e-608f8b9a0625",
        "01a12bde-e369-7076-be4f-fd2ce2dd7400",
        "01a12bde-e363-7127-a476-16abe61ee2bc",
        "01a12bdc-ce94-70a7-a398-e2194d3e6378",
        "01a12bdc-ce94-70aa-b77d-1193267ca7f5",
        "01a12bde-e35c-71e1-bff2-c9d6c1ef1a65",
        "01a12bde-e361-7293-9b53-4da9fdde02e0",
        "01a12bde-e363-7139-b3e5-6e9f8d5944ed",
        "01a12bde-e368-7342-94b1-47c04350d189",
        "01a12bde-35e9-7260-8ad2-5f3e0fbbb2c7"
      ],
      "inference_strength": "moderate_inference"
    },
    "key_takeaways": [
      {
        "text": "A plain cost message spread easily. Reddit reposts repeated 'zero API keys, zero billing', and SCALR attributes the star growth to avoiding per-platform API bills. That attribution is one source's view, not a measurement.",
        "claim_ids": [
          "01a12bde-35e7-7214-a54f-7eb32bbcaa75",
          "01a12bde-35e8-7067-a5f8-c8fae0b1c984",
          "01a12bde-e368-734e-a4cb-79e97fdf29e4",
          "01a12bde-e361-728d-b53a-eaa623e41db0"
        ],
        "inference_strength": "moderate_inference"
      },
      {
        "text": "Most of the growth came in a few concentrated surges, not evenly. About 20,000 stars arrived in three weeks of June, overlapping with the first GitHub Trending run. About 7,700 came in eight days of October during a second trending peak. After the June surge, the pace stayed well above its earlier rate.",
        "claim_ids": [
          "01a12bdc-cd5b-73cd-a3c8-8f1b0127a945",
          "01a12bdc-cd5b-73d0-a90c-95005c1f815c",
          "01a12bde-e35b-722a-a6cf-dbdcadb2ad51",
          "01a12bde-e35b-722c-8624-aa72798c2c95",
          "01a12bde-e35b-722e-874e-64cf3756fe7c",
          "01a12bde-e35f-73ac-a331-9e901981ae33"
        ],
        "inference_strength": "strong_inference"
      },
      {
        "text": "Agent-Reach's README says that after a batch of single-platform CLIs stopped being maintained in March 2026, the project changed its routing, and that in June 2026, when Bilibili blocked yt-dlp, it switched its Bilibili backend to bili-cli with no action needed from users. Release v1.5.0, published June 11, 2026, was titled as adding multi-backend routing and a real health check.",
        "claim_ids": [
          "01a12bde-e35d-70b5-a345-adeddb4e1ef0",
          "01a12bde-e369-7078-a871-9701e91b0dcd",
          "01a12bde-e366-7094-848e-608f8b9a0625",
          "01a12bde-e369-7076-be4f-fd2ce2dd7400",
          "01a12bdc-ce94-70aa-b77d-1193267ca7f5"
        ],
        "inference_strength": "strong_inference"
      },
      {
        "text": "Letting the user's agent run the install lowers setup effort for people who already use Claude Code, Cursor or similar tools. The evidence describes this method but does not measure its effect on adoption.",
        "claim_ids": [
          "01a12bde-e35c-71e1-bff2-c9d6c1ef1a65",
          "01a12bde-e361-7291-9ab3-3d9e4fd76082",
          "01a12bde-e362-70cb-8b67-18ae6b2412c4",
          "01a12bde-e361-728f-980d-b3098297aa8b",
          "01a12bde-e360-72d3-96bd-387fae081e30"
        ],
        "inference_strength": "moderate_inference"
      }
    ]
  }
}
