Despite the fact that I am relatively non-technical, our group partners, Harj Taggar and Richard Aberman welcomed me with open arms and introduced me to the startup world. Despite this, McKinsey taught me how to present to clients, engage with stakeholders, and approach every problem with analytical rigor. I would stay up every night to 2-3am burning the midnight oil churning out excel models and powerpoint slides. Thank you to Y Combinator ( Harj Taggar, Richard Aberman), 1984 Ventures ( Ramy Adeeb, Mark Percival, Samit Kalra), Defy VC ( Bob Rosin, Neil Sequeira, Brian Rothenberg, Adam P.), Formus Capital ( Cem Garih, Fethi Sabancı Kamışlı, Burak Karahasan, Emir Bölen, CFA), Soma Capital ( Nikhita Jaaswal), 468 Ventures ( Bernhard Janke, Bardo Droege), Pioneer VC, and many more incredible investors on our cap table.Ħ months ago, I was working at McKinsey & Company. I’m super excited to share that VectorShift has raised $3m seed round □. The no-code platform gives end-users an interface to access pre-built workflows for end-use cases (e.g., responding to RFPs, writing proposals, writing account plans) while letting them customize and build new ones with drag-and-drop components.Įxclusive: VectorShift raises $3M to modularize LLM application development Alex Leonardi and Albert Mao, who previously worked at Blackstone and McKinsey, saw firsthand the extensive effort each part of this process takes, especially in enhancing repetitive tasks with AI. Today, building a strong LLM app or automation involves a lot of steps, from choosing the right data and model for fine-tuning to customization and prototyping. Thousands of teams have deployed VectorShift to live-sync and search data across their tools, deploy chatbots and assistants, and build internal apps. This grid view shows every message you star in Slack.VectorShift (YC S23), the no-code generative AI automations platform, has raised $3m in seed funding to help teams unify their data and use it to build automated AI workflows. The first table is called Starred Slack Messages, and the first view is called All Starred Messages. The base has 2 tables and each table has multiple views. Download the Airtable template here and create your own copy. To go along with this tutorial, we’ve created an Airtable base template that has all of the tables and columns you’ll need. This base will store every message you star in Slack, and provide a form for gathering and storing swag size and shipping info. Step 1 - Create an Airtable base called Swag Management An Airtable account and basic familiarity.This flow requires two separate Zaps, both of which we’ll cover below. The information from the Airtable form is saved inside a table where you can review.A message is triggered to the author of the starred message with a link to an Airtable form to gather size and mailing information.Each message is reviewed by you and approved by checking a checkbox labeled “Send Swag Bot”.The details of that message are stored in Airtable.You or someone on your team stars a message in your community Slack.Here’s the high-level flow we’ll build in this tutorial: As with our last tutorial, How to get a Slack notification when someone stars your GitHub repository, we’ll be using Zapier in conjunction with Slack.
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