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Kai Zhang@kaizhangr
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🤓 Latest Submissions
Raise AI
Raise AI is an AI-powered fundraising operating system built to help venture capital fund managers raise capital more efficiently. Today, emerging General Partners often spend hundreds of hours manually researching limited partners (LPs), managing spreadsheets, tracking investor conversations, and maintaining fundraising CRMs. These operational burdens can prevent talented investors from successfully launching and growing funds. Raise AI automates the fundraising workflow through two core layers: Productivity and Intelligence. The Productivity layer includes an Email Intake Processor that automatically captures and summarizes fundraising interactions, and a CRM Updater that keeps investor records synchronized without manual data entry. The Intelligence layer enriches LP profiles with investment data, discovers new fundraising prospects, and uses AI-powered scoring to prioritize the highest-probability investor relationships. By reducing administrative work and generating actionable fundraising intelligence, Raise AI allows fund managers to focus on what matters most: finding exceptional founders, making great investments, and delivering strong returns. Our mission is to make capital formation dramatically more accessible and help more investment capital reach innovative companies around the world.
31 May 2026
AI Investor Manager -Sheets CRM
Sheets CRM is an AI-powered middleware platform designed to convert a standard Google Sheet into a functional Customer Relationship Management (CRM) system by automating the data ingestion pipeline. By authenticating securely via Google OAuth, the web application establishes a direct connection to a user's Google Drive and segments a target spreadsheet into two discrete components: a raw Intake Tab and a structured CRM Tab. The system begins its automated pipeline by executing a Gmail sync, pulling recent inbound correspondence into the Intake Tab based on customizable keyword filters that isolate high-value messages, such as those containing "pitch" or "investor." Once the raw data is staged, the platform's core Natural Language Processing (NLP) engine parses the unstructured email bodies and subject lines to perform entity extraction. This AI extraction phase identifies critical variables—such as prospective client names, contact details, and pipeline stages—and serializes them for database injection. The application then writes this structured data directly into the pre-mapped columns of the main CRM tab. Beyond this linear pipeline, Sheets CRM features an interactive Sheet Agent that leverages OpenAI's function-calling capabilities. This allows users to perform arbitrary database manipulations using natural language prompts; for example, entering a command like "Highlight all leads from last week" prompts the LLM to translate the request into programmatic API calls that modify the spreadsheet in real time. To maintain system stability, the application enforces rigid validation safeguards: it requires explicit column headers in row 1 to map schemas accurately, mandates matching OAuth permissions, and operates strictly as a cloud-native architecture, completely restricting the upload of offline file formats like .xlsx to prevent pipeline sync failures.
19 May 2026
