diff --git a/ai_solution.py b/ai_solution.py
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+++ b/ai_solution.py
@@ -0,0 +1,8 @@
+# Solution
+
+```json
+{
+  "solution_code": "import requests\nimport hashlib\nfrom datetime import datetime\nfrom typing import List, Dict, Optional\nimport logging\n\nlogger = logging.getLogger(__name__)\n\nALGORA_API_URL = \"https://algora.io/api/bounties?status=open&limit=50\"\n\n\ndef fetch_algora_bounties() -> List[Dict]:\n    \"\"\"\n    Fetch open bounties from Algora API.\n    \n    Returns:\n        List of bounty dictionaries from Algora\n    \"\"\"\n    try:\n        response = requests.get(ALGORA_API_URL, timeout=30)\n        response.raise_for_status()\n        data = response.json()\n        \n        # Algora API returns bounties in different possible structures\n        # Handle both direct list and nested data structure\n        if isinstance(data, list):\n            bounties = data\n        elif isinstance(data, dict) and 'bounties' in data:\n            bounties = data['bounties']\n        elif isinstance(data, dict) and 'data' in data:\n            bounties = data['data']\n        else:\n            logger.warning(f\"Unexpected Algora API response structure: {type(data)}\")\n            bounties = []\n        \n        logger.info(f\"Fetched {len(bounties)} bounties from Algora\")\n        return bounties\n    except requests.exceptions.RequestException as e:\n        logger.error(f\"Failed to fetch Algora bounties: {e}\")\n        return []\n    except Exception as e:\n        logger.error(f\"Error processing Algora response: {e}\")\n        return []\n\n\ndef parse_algora_bounty(bounty: Dict) -> Optional[Dict]:\n    \"\"\"\n    Parse an Algora bounty into runtime_jobs format.\n    \n    Args:\n        bounty: Raw bounty dict from Algora API\n    \n    Returns:\n        Parsed job dict ready for insertion, or None if invalid\n    \"\"\"\n    try:\n        # Extract URL - try multiple possible fields\n        url = bounty.get('url') or bounty.get('html_url') or bounty.get('link')\n        if not url:\n            # Construct URL from bounty ID if available\n            bounty_id = bounty.get('id')\n            if bounty_id:\n                url = f\"https://algora.io/bounties/{bounty_id}\"\n            else:\n                logger.warning(f\"No URL found for bounty: {bounty}\")\n                return None\n        \n        # Generate idempotent task_id from URL using SHA-1\n        task_id = hashlib.sha1(url.encode('utf-8')).hexdigest()\n        \n        # Extract title\n        title = bounty.get('title') or bounty.get('name') or 'Algora Bounty'\n        \n        # Extract reward in USD - be strict, only accept real numeric values\n        reward_usd = None\n        reward_fields = ['reward_usd', 'reward', 'amount', 'prize', 'reward_in_usd']\n        \n        for field in reward_fields:\n            if field in bounty:\n                try:\n                    value = bounty[field]\n                    if isinstance(value, (int, float)):\n                        reward_usd = float(value)\n                        break\n                    elif isinstance(value, str):\n                        # Try to parse numeric string\n                        cleaned = value.replace('$', '').replace(',', '').strip()\n                        reward_usd = float(cleaned)\n                        break\n                except (ValueError, TypeError):\n                    continue\n        \n        # Extract tech stack / technologies\n        tech_stack = []\n        tech_fields = ['tech_stack', 'technologies', 'tags', 'skills', 'languages']\n        \n        for field in tech_fields:\n            if field in bounty:\n                value = bounty[field]\n                if isinstance(value, list):\n                    tech_stack.extend([str(t) for t in value if t])\n                elif isinstance(value, str) and value:\n                    tech_stack.append(value)\n        \n        # Also check for language/framework in bounty object\n        if 'language' in bounty and bounty['language']:\n            tech_stack.append(str(bounty['language']))\n        if 'framework' in bounty and bounty['framework']:\n            tech_stack.append(str(bounty['framework']))\n        \n        # Remove duplicates and limit length\n        tech_stack = list(set(tech_stack))[:10]\n        \n        # Build description\n        description_parts = [f\"Algora Bounty: {title}\"]\n        if reward_usd:\n            description_parts.append(f\"Reward: ${reward_usd:.2f} USD\")\n        if tech_stack:\n            description_parts.append(f\"Tech: {', '.join(tech_stack)}\")\n        if bounty.get('description'):\n            description_parts.append(bounty['description'][:500])\n        \n        description = \"\\n\\n\".join(description_parts)\n        \n        return {\n            'task_id': task_id,\n            'source': 'algora',\n            'title': title[:500],  # Limit title length\n            'description': description[:2000],  # Limit description\n            'url': url,\n            'reward_usd': reward_usd,\n            'tech_stack': tech_stack,\n            'discovered_at': datetime.utcnow().isoformat(),\n            'status': 'open'\n        }\n    \n    except Exception as e:\n        logger.error(f\"Error parsing Algora bounty: {e}\")\n        return None\n\n\ndef insert_runtime_job(job: Dict, db_connection) -> bool:\n    \"\"\"\n    Insert a job into runtime_jobs table with idempotent upsert.\n    \n    Args:\n        job: Parsed job dictionary\n        db_connection: Database connection object\n    \n    Returns:\n        True if inserted/updated, False if error\n    \"\"\"\n    try:\n        # This is a placeholder - actual implementation depends on your DB setup\n        # Using task_id as primary key ensures idempotency\n        \n        query = \"\"\"\n            INSERT INTO runtime_jobs (\n                task_id, source, title, description, url, \n                reward_usd, tech_stack, discovered_at, status\n            ) VALUES (\n                %(task_id)s, %(source)s, %(title)s, %(description)s, %(url)s,\n                %(reward_usd)s, %(tech_stack)s, %(discovered_at)s, %(status)s\n            )\n            ON CONFLICT (task_id) DO UPDATE SET\n                title = EXCLUDED.title,\n                description = EXCLUDED.description,\n                reward_usd = EXCLUDED.reward_usd,\n                tech_stack = EXCLUDED.tech_stack,\n                discovered_at = EXCLUDED.discovered_at,\n                status = EXCLUDED.status\n        \"\"\"\n        \n        cursor = db_connection.cursor()\n        cursor.execute(query, job)\n        db_connection.commit()\n        cursor.close()\n        \n        logger.info(f\"Inserted/updated job {job['task_id']}: {job['title']}\")\n        return True\n    \n    except Exception as e:\n        logger.error(f\"Failed to insert job {job.get('task_id')}: {e}\")\n        return False\n\n\ndef sync_algora_bounties(db_connection) -> int:\n    \"\"\"\n    Main function to sync Algora bounties to runtime_jobs.\n    \n    Args:\n        db_connection: Database connection\n    \n    Returns:\n        Number of jobs successfully synced\n    \"\"\"\n    logger.info(\"Starting Algora bounty sync...\")\n    \n    bounties = fetch_algora_bounties()\n    if not bounties:\n        logger.warning(\"No bounties fetched from Algora\")\n        return 0\n    \n    success_count = 0\n    \n    for bounty in bounties:\n        parsed = parse_algora_bounty(bounty)\n        if parsed:\n            if insert_runtime_job(parsed, db_connection):\n                success_count += 1\n    \n    logger.info(f\"Algora sync complete: {success_count}/{len(bounties)} jobs synced\")\n    return success_count\n\n\nif __name__ == \"__main__\":\n    # Example usage / testing\n    logging.basicConfig(level=logging.INFO)\n    \n    # Fetch and print sample data\n    bounties = fetch_algora_bounties()\n    print(f\"\\nFetched {len(bounties)} bounties from Algora\\n\")\n    \n    if bounties:\n        print(\"Sample bounty (first one):\")\n        print(\"=\" * 60)\n        import json\n        print(json.dumps(bounties[0], indent=2))\n        print(\"=\" * 60)\n        \n        print(\"\\nParsed format:\")\n        parsed = parse_algora_bounty(bounties[0])\n        if parsed:\n            print(json.dumps(parsed, indent=2, default=str))\n",
+  "file_hints": [
+    "runtime-opportunity-scout/algora_integration.py",
+    "runtime-opportunity-scout/src/algora_scout.py
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