Orange Slice is a spreadsheet where every column is TypeScript—and AI writes it for you. Describe what you want in chat ("find the CEO's LinkedIn and get their email"), and we generate the code, create the columns, and run it across thousands of rows. Our fully-typed SDK has 100+ enrichments built in: LinkedIn, contact info, company data, web scraping, AI research. Columns automatically execute in dependency order. No workflow builders—just describe it or code it.
Active Founders
Vihaar Nandigala
Founder/CEO
Founder and CEO at OrangeSlice. Sold previous company at 19 and ex-J.P. Morgan
We’re building AI agents, inside a spreadsheet, that help sales teams find companies that already want to buy.
The reality is most sales teams don’t struggle with effort - they struggle with timing.
Reps spend huge amounts of time working static lists and broad targeting, chasing leads that were never going to convert. That creates noise, low reply rates, and wasted cycles.
Top companies like Ramp solve this with dedicated growth engineers building internal data workflows.
We’re making that same capability accessible to everyone else.
At its core, the challenge is simple: \*\*finding customers who already have the problem you solve.\*\*
Orange Slice turns the spreadsheet into a system for discovering buying signals - agents research company sites, news, social signals, and niche sources like court records or building permits, then structure that information directly into columns teams can act on.
Not “might be a fit.”
But “likely in-market.”
So instead of guessing who to target, teams build and refine living lists of high-intent accounts inside a sheet.
Still early. Still learning.
But we’re excited to keep building.
Kishan and I met sophomore year on a Bollywood dance team at Michigan — and I couldn’t ask for a better co-founder.
Sales teams waste time and money reaching out to people who aren’t good fits for their product. How often do you receive a cold email about something you don’t care about at all?
🚀 Our solution:
We built custom scraping and crawling infra that finds high-intent prospects by scanning online data sources such as company websites, news articles, job postings, and social media. We specialize in industry-specific data sources - think court dockets for legal tech, building permits for proptech, or freight brokerage listings for logistics.
Think about it like assigning a “score” to all potential prospects so you spend time focusing on ones that are already likely to buy.
Why
Previously, Kishan ran a growth experiment at Ramp where he noticed that growth doesn’t come from gimmicky emails, but from finding the right customers at the right time. Vihaar, who sold his first restaurant tech startup at 19, learned the same lesson the hard way: the biggest lever in sales isn’t what you say - it’s who you say it to.
🙏 Our Ask:
Do you know any businesses with lots of sales reps that do lots of manual research?
If you refer us to someone who signs with us, we will send you $500/month as long as they stay with us.
