Rishi Taparia and Arpan Punyani, the firm’s two general partners, know a thing or two about scaling companies from their previous positions.
Taparia was an early employee at both Poynt, a payments processor that was acquired by GoDaddy in 2020, and workforce management platform Legion.
Punyani previously spent over eight years at identity management company Okta, where he worked across inorganic growth teams.
The pair then officially started Garuda Ventures in late 2021 and began talking to investors for the debut fund.
The firm plans to invest in 25 to 30 companies at the pre-seed and seed stages with check sizes ranging from $500,000 to $1 million.
Though companies at these stages aren’t necessarily thinking about M&A, Punyani said M&A activity is expected to come back, buoyed by the recent Atlassian/Loom and Databricks/Arcion deals, and that Garuda Ventures has a unique offering for founders given his background.
The original article contains 393 words, the summary contains 147 words. Saved 63%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Rishi Taparia and Arpan Punyani, the firm’s two general partners, know a thing or two about scaling companies from their previous positions.
Taparia was an early employee at both Poynt, a payments processor that was acquired by GoDaddy in 2020, and workforce management platform Legion.
Punyani previously spent over eight years at identity management company Okta, where he worked across inorganic growth teams.
The pair then officially started Garuda Ventures in late 2021 and began talking to investors for the debut fund.
The firm plans to invest in 25 to 30 companies at the pre-seed and seed stages with check sizes ranging from $500,000 to $1 million.
Though companies at these stages aren’t necessarily thinking about M&A, Punyani said M&A activity is expected to come back, buoyed by the recent Atlassian/Loom and Databricks/Arcion deals, and that Garuda Ventures has a unique offering for founders given his background.
The original article contains 393 words, the summary contains 147 words. Saved 63%. I’m a bot and I’m open source!