Add Silicon Signal cookbook project

README.md

@@ -34,6 +34,7 @@ Each folder in this repo is a standalone project. Dive in to see how to solve re
 | Recipe | Description |
 |--------|-------------|
 | [bestbet](./bestbet) | Sports betting odds comparison tool |
+| [silicon-signal](./silicon-signal) | Semiconductor supply chain tracker for lifecycle, availability, and lead-time signals |
 
 > More recipes added weekly!
 

research-sentry/.env.local.example

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+# Rename to .env.local and add your keys
+OPENAI_API_KEY=sk-your-key-here
+MINO_API_KEY=your-mino-key-here

research-sentry/.gitignore

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+node_modules
+.next
+.env*.local
+.vercel
+*.tsbuildinfo

research-sentry/README.md

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+# Research Sentry
+
+Live link: https://voice-research.vercel.app/
+
+## What it is
+Research Sentry is a voice-first academic research co-pilot that scans live portals (ArXiv, PubMed, Semantic Scholar, IEEE Xplore, and more) to assemble verified paper metadata and summaries. It uses the TinyFish Web Agent to automate multi-step portal navigation and extract structured results in real time.
+
+## Demo video
+https://voice-research.vercel.app/
+
+## TinyFish API usage (snippet)
+```ts
+const res = await fetch("https://mino.ai/v1/automation/run-sse", {
+  method: "POST",
+  headers: {
+    "X-API-Key": process.env.MINO_API_KEY!,
+    "Content-Type": "application/json",
+  },
+  body: JSON.stringify({
+    url,
+    goal,
+    browser_profile: stealth ? "stealth" : "lite",
+  }),
+});
+```
+
+## How to run
+1. Install deps: `npm install`
+2. Create `.env.local`:
+```
+MINO_API_KEY=your_tinyfish_key
+OPENAI_API_KEY=your_openai_key
+```
+3. Start dev server: `npm run dev`
+
+## Architecture diagram
+```mermaid
+graph TD
+  User((User)) -->|Voice/Text| UI[Search Interface]
+  UI -->|Intent| Parser[Intent Parser GPT-4]
+  Parser -->|Plan| Engine[Search Engine]
+  Engine -->|Dispatch| Agent1[TinyFish Agent: ArXiv]
+  Engine -->|Dispatch| Agent2[TinyFish Agent: PubMed]
+  Engine -->|Dispatch| Agent3[TinyFish Agent: Scholar]
+  Agent1 -->|Scraping| Web[Live Web DOM]
+  Agent2 -->|Scraping| Web
+  Agent3 -->|Scraping| Web
+  Web -->|Result| Aggregator[Synthesis & Deduplication]
+  Aggregator -->|JSON Payload| UI
+  UI -->|Visuals| Terminal[Live Log Terminal]
+```

research-sentry/app/api/citations/track/route.ts

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+import { NextRequest, NextResponse } from 'next/server';
+import { analyzeCitationTrend } from '@/lib/citation-tracker';
+
+export async function POST(req: NextRequest) {
+    try {
+        const { paper } = await req.json();
+
+        if (!paper) {
+            return NextResponse.json({ error: 'Paper data required' }, { status: 400 });
+        }
+
+        const trackedData = await analyzeCitationTrend(paper);
+
+        // In a real app, we would save this to a database here
+
+        return NextResponse.json(trackedData);
+    } catch (error) {
+        console.error('Citation Tracking API Error:', error);
+        return NextResponse.json({ error: 'Failed to track citation' }, { status: 500 });
+    }
+}

research-sentry/app/api/compare/route.ts

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+import { NextRequest, NextResponse } from 'next/server';
+import { comparePapers } from '@/lib/comparator';
+
+export async function POST(req: NextRequest) {
+    try {
+        const { papers } = await req.json();
+
+        if (!papers || papers.length < 2) {
+            return NextResponse.json({ error: 'Select at least 2 papers to compare' }, { status: 400 });
+        }
+
+        const comparison = await comparePapers(papers);
+
+        return NextResponse.json(comparison);
+    } catch (error) {
+        console.error('Comparison API Error:', error);
+        return NextResponse.json({ error: 'Failed to generate comparison' }, { status: 500 });
+    }
+}

research-sentry/app/api/conversation/route.ts

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+import { NextRequest, NextResponse } from 'next/server';
+import { generateConversationResponse } from '@/lib/conversation';
+
+export const maxDuration = 60;
+
+export async function POST(req: NextRequest) {
+    try {
+        const { history, context } = await req.json();
+
+        if (!history || !Array.isArray(history)) {
+            return NextResponse.json({ error: 'Invalid history format' }, { status: 400 });
+        }
+
+        const response = await generateConversationResponse(history, context);
+
+        return NextResponse.json(response);
+    } catch (error) {
+        console.error('Conversation API Error:', error);
+        return NextResponse.json({ error: 'Failed to generate response' }, { status: 500 });
+    }
+}