Avichal Garg Investments and Investor Profile

Brian Nichols is the co-founder of Angel Squad, a community where you’ll learn how to angel invest and get a chance to invest as little as $1k into Hustle Fund’s top performing early-stage startups.

Search for Avichal Garg and you’ll find two related stories: a longtime product operator and angel investor, and the co-founder of Electric Capital. Investors should keep those records separate. Doing so makes his background and investing framework much easier to understand.

This is educational content, not investment advice. Startup and crypto investments are speculative, illiquid, and long term. You can lose your entire investment.

Avichal Garg at a glance

Avichal Garg is a co-founder and general partner at Electric Capital. He co-founded the firm in 2018 after building and investing in technology companies.

Before Electric, Garg worked on Search and Ads at Google. He later became director of product management for Facebook’s Local product group. Facebook had acquired one of his prior companies in 2012, according to his current Electric bio. His personal biography also describes him as a repeat founder and startup investor.

He also serves on the Center for a New American Security Board of Advisors. Its profile of Garg describes his technology career, angel investing, and role at Electric Capital.

As of September 2026, Electric Capital says it invests from pre-seed through Series A, writes checks of $1 million to $15 million or more, and has invested more than $3 billion. That last number is invested capital, not assets under management. The firm now describes its scope as frontier technology across artificial intelligence, cryptography, and distributed systems, rather than crypto alone. Those details come from Electric Capital’s current firm overview.

Avichal Garg’s personal angel investments

The cleanest verified list comes from Garg’s Electric Capital biography. It explicitly labels the following as investments he made before Electric Capital.

His crypto investments included:

• Anchorage
• Bitwise
• Celo
• dYdX
• Lightning Labs
• OpenSea

His broader technology investments included:

• Airtable
• Boom Supersonic
• Color Genomics
• Cruise
• Figma
• Material Security
• Newfront Insurance
• Notion
• Nova Credit
• Pulley

This mix matters. Garg had already invested across enterprise software, aerospace, healthcare, insurance, consumer products, and financial infrastructure before starting Electric. His personal record is broader than a list of tokens or crypto protocols.

Electric Capital portfolio examples

Electric Capital’s investments belong to the firm. A portfolio-company logo does not establish that Garg personally wrote the check, sourced the deal, or led it.

As of September 2026, the firm’s current investment portfolio includes Aave and NEAR. Aave is described as a decentralized lending market for digital assets, while NEAR is described as a blockchain for AI-powered applications. Both are Electric Capital portfolio examples. Neither should be presented as a personal Avichal Garg investment.

The portfolio also includes Bitwise and dYdX, names that appear in Garg’s verified pre-Electric record. That overlap does not erase the distinction. It tells us only that Garg invested personally before Electric and that the companies also appear in the firm’s current portfolio.

This attribution habit applies to every investor profile: identify who made the investment, which vehicle held it, and what the original source actually says. A firm portfolio page is useful evidence of firm exposure. It is weak evidence for an individual partner’s track record.

How Avichal Garg evaluates early-stage investments

Garg’s directly stated early-stage criteria are more useful than a thesis reverse-engineered from logos. In an early-stage investing discussion, he lays out six practical questions:

1. Is the team excellent? Early-stage investors have limited operating data, so founder judgment, technical depth, speed, and recruiting ability carry real weight.
2. Is there a credible go-to-market plan and a clear user? A founder should know who needs the product, why they care, and how the company can reach them.
3. Is the technology and product legitimate? The technical claim should survive scrutiny, and the product should solve a real problem rather than exist only to support a narrative.
4. Do the token economics make sense? When a token is part of the system, its supply, distribution, incentives, utility, and value flows need coherent answers. This criterion is specific to token-based companies.
5. Can the outcome become very large? Venture math depends on a small number of outliers. A good company can still be a poor venture investment if the plausible upside is too small for the risk.
6. Can the founder articulate a contrarian truth? The founder needs a specific belief that matters, differs from consensus, and can be tested through evidence.

Notice what is absent: a blanket requirement for current revenue or proven unit economics. At seed and Series A, diligence may happen before those metrics are mature. The investor still needs a sound theory of users, distribution, product, and economics. The available evidence simply changes with stage.

Our general partner and co-founder Elizabeth Yin says, “The more disciplined you are in your thought process/rubric, the more you can improve over time.” Garg’s criteria work best as a rubric that records why you believed a deal could work and what would prove you wrong.

Where developer activity fits

Electric Capital is known for tracking open-source crypto developers. Developer activity can reveal whether builders continue to commit code, join an ecosystem, and maintain applications through a market cycle.

Treat it as one heuristic. Commit counts cannot tell you whether users will stay, a security model will hold, distribution will work, or an investment is attractively priced. A rising developer count can strengthen a thesis. It cannot guarantee adoption or returns.

For an angel investor, the broader lesson is to find the operating signal closest to value creation. That could be developer retention for an open-source network, weekly workflow completion for a software product, or repeat purchases for a marketplace. Then connect the signal to user behavior and the business model.

Investor takeaways from Garg’s approach

You can apply this framework without copying Electric Capital’s portfolio or check size.

Keep an attribution ledger. For each claimed investment, record the investor, entity or fund, round, date, and primary source. This prevents firm deals from quietly becoming a partner’s personal track record.

Match diligence to stage. A pre-seed founder may have little revenue data. Spend more time on team quality, user insight, technical feasibility, and distribution. Add cohort and unit-economic analysis as the company generates enough data for it to mean something.

Write down the contrarian truth. State the belief in one sentence, list the evidence that supports it, and name the fact that would falsify it. Our general partner Elizabeth Yin says, “Going back to first principles is super important since the market always changes and evolves.” A written thesis makes that reset possible.

Separate network health from investment quality. Developer activity, community growth, and transaction volume can all be encouraging. You still need to understand ownership, dilution, token design, valuation, liquidity, and the path from usage to value.

Build judgment through repeated decisions. Inside Angel Squad, investors can learn a shared evaluation process, discuss early-stage opportunities with peers, and compare how different operators read the same evidence.

Garg’s record offers a disciplined model: separate personal investments from firm investments, assess the evidence available at the company’s stage, and make the founder’s non-consensus insight explicit. The value is in the quality of the decision process, never a promise that the outcome will follow.

Ready to sharpen that process with other active and aspiring angels? Apply to Angel Squad.