Data Extraction, Analysis & Notification Agents for Investments
Budget: $250 – $750 USD
I need two separate, fully-functional notification and alert agents to support our company-scouting workflow.
Process 1 – Company Deck & Website Monitor
• Continuously scan company-provided pitch decks (PDF, PPT) and public website pages.
• Extract key market signals, milestones, and product updates using Python with libraries such as BeautifulSoup, pdfplumber, or LangChain document loaders.
• Trigger real-time alerts—preferably via Slack and email—whenever new language around funding rounds, customer wins, or major roadmap changes is detected.
Process 2 – Market-Trend Sentinel
• Scrape broader internet sources (news sites, industry blogs, analyst portals) for trend keywords we define.
• Aggregate findings, identify sentiment shifts, and push a concise daily digest with hyperlinks and a short commentary section.
• Provide an on-demand query option so the team can ask, “What changed today in AI chip startups?” and get an instant synthesized answer.
Core needs
– Notification and alert agents are the priority; all data handling is in service of timely, accurate alerts.
– Sources include company decks, official sites, plus open web scraping—no paid data feeds for now.
– Code must be modular and well-commented so we can extend it to other sectors later.
– Deliverables: runnable scripts, setup instructions (Docker or virtualenv), and a brief Loom walkthrough.
– Success criteria: agents run unattended for 72 hours, capture at least three real updates each, and deliver alerts with <10-minute latency.
If you have previous experience building market-monitoring bots or integrating Slack/email alerting, I’m eager to see it.
Process 1 – Company Deck & Website Monitor
• Continuously scan company-provided pitch decks (PDF, PPT) and public website pages.
• Extract key market signals, milestones, and product updates using Python with libraries such as BeautifulSoup, pdfplumber, or LangChain document loaders.
• Trigger real-time alerts—preferably via Slack and email—whenever new language around funding rounds, customer wins, or major roadmap changes is detected.
Process 2 – Market-Trend Sentinel
• Scrape broader internet sources (news sites, industry blogs, analyst portals) for trend keywords we define.
• Aggregate findings, identify sentiment shifts, and push a concise daily digest with hyperlinks and a short commentary section.
• Provide an on-demand query option so the team can ask, “What changed today in AI chip startups?” and get an instant synthesized answer.
Core needs
– Notification and alert agents are the priority; all data handling is in service of timely, accurate alerts.
– Sources include company decks, official sites, plus open web scraping—no paid data feeds for now.
– Code must be modular and well-commented so we can extend it to other sectors later.
– Deliverables: runnable scripts, setup instructions (Docker or virtualenv), and a brief Loom walkthrough.
– Success criteria: agents run unattended for 72 hours, capture at least three real updates each, and deliver alerts with <10-minute latency.
If you have previous experience building market-monitoring bots or integrating Slack/email alerting, I’m eager to see it.
Related categories:
Python
Data Processing
Research
Web Scraping
Software Architecture
Data Extraction
BeautifulSoup
Alerting
Data Analysis
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