Review developer tag candidates and separate runtime and compute businesses

apps/docs/scripts/auth-cli.ts

@@ -184,8 +184,8 @@ async function main() {
   const research = await researchResponse.json();
   assert.equal(research.companies.length, 1051);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 1858);
-  assert.equal(research.observations.length, 237);
+  assert.equal(research.evidence.length, 1909);
+  assert.equal(research.observations.length, 240);
   assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
   const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
   assert.equal(researchPage.status, 200);

apps/docs/tests/research.test.ts

@@ -24,8 +24,8 @@ test("research revisions share the authentication database and preserve replay l
     assert.equal(consumeCode(config, "invalid"), "limited");
     const initial = readResearchSnapshot();
     assert.equal(initial.companies.length, 1051);
-    assert.equal(initial.evidence.length, 1858);
-    assert.equal(initial.observations.length, 237);
+    assert.equal(initial.evidence.length, 1909);
+    assert.equal(initial.observations.length, 240);
     assert.deepEqual(initial.candidateBatches, seed.candidateBatches, "candidate gaps persist in the same database metadata");
     assert.deepEqual(initial.directoryRechecks, seed.directoryRechecks, "follow-up classifications persist without rewriting the discovery audit");
     assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
@@ -64,7 +64,7 @@ test("research validation rejects broken evidence and unsafe source links", () =
 
 test("reviews link explicit companies without turning global or excluded cases into companies", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 115);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 118);
   assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 12);
   assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 44);
   const review = snapshot.reviews.find((r) => r.id === "R4")!;
@@ -101,8 +101,8 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
 
 test("technical reviews keep accessible materials separate from tested capabilities", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 59);
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 9);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 61);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 10);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
   assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
   assert.match(snapshot.companies.find((c) => c.id === "AI051")!.technicalReview!.testScope!, /Sep 2026/);

content/research/ai-companies.sources.json

@@ -1,5 +1,5 @@
 {
-  "version": "2026-10-31-1",
+  "version": "2026-10-31-dev-tags-1",
   "scopeConfirmedAt": "2026-10-30",
   "acceptance": "以确认的公开来源清单为边界，逐条核对并标明缺项。",
   "provenance": "S01—S12恢复自已提交用户的《AI公司研究_来源与分类模板》来源清单；S13—S16单列后续已使用的补充证据渠道，不将使用次数当作全量覆盖。",
@@ -15,7 +15,7 @@
       ],
       "initialAccess": "官网目录可访问",
       "boundary": "已读取八个2025—2026批次镜像候选池1428条，再核YC官方页面；不声称覆盖全部YC历年或未公开公司。",
-      "nextCheck": "原新增目录中31条深化为个案并保留来源；当前基础项393条主营分类人工复核。本轮23项C06规则初分已读，22项保留、Bluma转创意制作，8项官网资料与Native政府接口缺项分开。软件/人工托管/制作代理及广告预算拆分；Native官网旧经营与YC2026成立冲突，当前year=null，原发现审计保留；2M ARR仅交叉核对。继续核C05/C07及其他非人工资料、主体、技术和财务，不把主营复核当完整来源覆盖。",
+      "nextCheck": "原新增目录33条深化并保留发现来源，本快照基础项416条主营人工复核。原C04开发标签池51项中的前25项已重读主营及相关发布：8保留、17迁移（Agent设施9、模型设施5、通用企业1、客户运营1、行业1），余26项。现产品与旧Feyn/Chonkie、VibeFlow、Attune、WhoDB/Docucod、Lotas/Rao、Omnara和Coasts/JSX分期；Helix公开材料不等性能测试，StarSling公开合并记录不等全部性能/收费证明。计算分钟、模型用量和月费拆分，jobs、旧ARR、退出价、赠额及演示不是自身ARR。本分支独立于PR #33企业89项、#34行业252项、#35模型标签26项，整合须保留各分支追加记录及版本计数；全部公开来源及主体、技术和财务仍待核。",
       "limitation": "批次不等于成立年；不代表全部公司"
     },
     {

content/research/ai-income-analysis.json

@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-10-31-sales-models-1",
+  "sourceVersion": "2026-10-31-dev-tags-1",
   "asOf": "2026-10-31",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",