Tango.vc

Tango.vc Research Document

Investment Thesis

Tango.vc is a solo GP venture fund founded by Ivan Kirigin, focused exclusively on backing exceptional founders building in AI, machine learning, and robotics. The fund invests at preseed and seed stages, writing $100K-$250K checks. Ivan's deep technical background spans robotics, computer vision, and AI, combined with experience scaling products at Facebook, Dropbox, and Lyft, gives the fund strong operational expertise in technical product development.

The core thesis is simple: bet on exceptional technical founders solving hard problems in AI, ML, and robotics. Ivan's 62X return on early Cruise Automation investment (sold to GM for $1B in 2016) demonstrates conviction and track record in autonomous systems. The fund rejects "home run bias" in favor of disciplined powerlaw investing - understanding that one company often returns 50% of fund value, and the next two return more than half the remainder.

Fund Structure and Deployment

Fund History:

• Fund I (2020): $4.7M, fully deployed with 52+ investments across 46 companies
• Fund II (2024): ~$5.3M, actively deploying
• Fund III (Current): Targeting $25M, already writing checks at preseed/seed ($100K initial, $250K follow-on)

Unique structure: Fund III is actively deploying preseed checks before full fund close, a quirk of their LP history that allows rapid deployment. Most funds wait for full raise before investing.

Stage Focus and Check Size

Stages: Preseed ($100K-$250K) and Seed ($100K-$250K range)

Check Sizes:

• Initial preseed: $100K-$250K (targeting ~1.25% ownership post-seed)
• Follow-on checks: $250K (targeting ~0.7% ownership post-Series A)
• Fund III reserves: 30% for follow-on investments, 70% for initial checks

Strategy: Solo GP decision-making (no investment committee) allows rapid conviction-based investing. Ivan questions founders on technology, market, GTM, and team to assess intelligence, grit, and communication. This approach mirrors angel investing more than traditional VC.

Geographic Focus

Primary: United States, particularly Silicon Valley and Bay Area

Secondary: Selective investments elsewhere, though emphasis is on founders with deep technical expertise regardless of location

Portfolio and Track Record

Best Investments (Portfolio Highlights):

1. Lovable - AI coding/app builder platform

   • Preseed investment (2023): $100K
   • Current value: $160X return (now ~$6.6B valuation post-Series B)
   • Current ARR: $200M+ (scaled from ~$2M to $200M+ in 2025)
   • Allows non-technical people to create internal tools/prototypes by writing English
   • Series B (Dec 2025): $330M at $6.6B valuation
   • Fund II Net TVPI: 3.7X (total value 3.7X paid-in capital)

2. Cruise Automation (Angel investment, pre-fund)

   • Early investment (2013): ~$1M returned $62M+
   • Sold to GM for $1B+ (2016)
   • Autonomous vehicle technology

3. Stoke Space - Reusable rocket company

   • Among 3 companies to ever fly reusable second stage (NASA, SpaceX, Stoke)
   • Recent hop test with full reusable hardware
   • Hard robotics/aerospace play

4. Clone Robotics - Humanoid robots

   • Fund I and II investments
   • Building general-purpose humanoid robots
   • Follow-on investment in Fund II

5. Vici Robotics - Shelf stocking robots

   • Fund I investment
   • Autonomous fulfillment robots
   • Follow-on in Fund II

6. Albedo - Computer vision for earth observation

   • Portfolio highlight mentioned

7. Freshpaint - Data privacy and compliance

   • Fund I standout
   • Privacy-first data infrastructure

Team

Solo GP Structure:

• Ivan Kirigin, Founder & General Partner
  • Background: Engineer trained in robotics/computer vision (NYU, CMU)
  • Experience:
    • iRobot: Self-driving vehicles, DARPA Urban Challenge
    • First startup: Tipjoy (YC W08)
    • Facebook: Web-scale infrastructure
    • Dropbox: Growth scaling (4M to 100M users)
    • Second startup: YesGraph (YC W15), acquired by Lyft
    • Lyft: Self-driving division (Level 5), ML infrastructure
    • Left Lyft late 2019 to invest full-time
  • Started Tango.vc in 2020
  • 1,000+ Substack subscribers

Fund Structure: Solo GP means all investment decisions made by Ivan directly, no investment committee. This enables faster decisions and conviction-based investing.

Investment Process

Due Diligence Focus:

1. Technology: Deep technical understanding required. Ivan assesses product strategy, feedback loops, and competitive advantages. Prefers founders with strong ML/robotics backgrounds.
2. Market: Focuses on large and/or growing markets. Values founder customer understanding over market size alone.
3. Go-to-Market: Expects seed founders to understand execution required. Focuses on founder-driven early sales, questions decreasing CAC assumptions.
4. Team: Requires technical founders with raw intelligence and grit. Communication clarity through repetition is essential.

Support Model:

• Technical help: Leverages portfolio to share lessons across 70+ companies
• Hiring: Hands-on recruiting advice, network tapping
• GTM: Growth framework and operational experience
• Fundraising: Building Attention AI (product to help founders raise)

Decision Timeline: Not explicitly stated, but solo GP structure suggests rapid decisions once conviction is formed

Warm Introduction: Not explicitly required, but network referrals common at seed stage

Recent Activity

Recent Investments (Fund II Deployment, 2024-2025):

• Lovable (Preseed, 2023): $100K → $160X return
• Vici Robotics (Follow-on from Fund I)
• Clone Robotics (Follow-on from Fund I)
• PitPro: Robotic fleet vehicle maintenance
• Ion Design: Figma to React code conversion
• Adagy Robotics: Remote teleoperation for autonomous robots
• Superfocus: AI without hallucination (customer support focus)
• Terraform Industries: Methane from direct air capture + solar

Fund Status:

• Fund II: Actively deploying, Net TVPI 3.7X (90th+ percentile)
• Fund III: Currently raising (targeting $25M), already writing preseed checks
• Fund IV: Expected to begin fundraising after Fund III close

Last Known Activity: December 2025 (Lovable Series B announcement)

Decision Process & Timeline

Solo GP Model: All decisions made by Ivan directly. No investment committee means conviction-based investing without consensus delays. This is intentional - Ivan argues committees are "worse to find outliers."

Decision Timeline: Not extensively documented, but emphasis on founder question-based assessment suggests decisions can be made quickly once conviction formed.

Founder Preferences

Ideal Founder Profile:

• Technical background (strongly preferred, though not necessarily university degree)
• Raw intelligence and grit demonstrated through shipping products
• Clear communication through repetition and refinement
• Deep customer understanding (especially in robotics and automation)
• Founder-driven execution (not committee-driven)
• Ability to model and understand unit economics

Founder Support: Ivan actively mentors on technical execution, hiring, GTM, and fundraising through direct relationship. Also building portfolio founder community for peer learning.

Notable Observations

1. Powerlaw Philosophy: Ivan deeply understands VC returns require concentration - one company should return 50% of fund value. This drives conviction-based checks and follow-on reserves.

2. Founder Alignment: Lovable story shows Ivan's network and pattern recognition - connected with Depict.ai, then identified Anton Osika building GPT-Engineer (Lovable) before market recognized it.

3. Market Timing: While 2022-2023 saw pullback in capital-intensive hardware, AI boom in 2024-2025 favored Tango's thesis. Lovable's explosion validates early AI conviction.

4. Transparency: 506(c) fund structure allows public fundraising discussion. Ivan blogs openly about fund mechanics, LP processes, and portfolio performance.

5. Product Building: Building Attention AI (fundraising software) alongside fund to solve founder problems. This shows hands-on operational mindset.

6. Return Profile: Net TVPI of 3.7X for Fund II is 90th+ percentile for fund vintage - exceptional performance driven largely by Lovable's 160X return.

Investment Philosophy Summary

• Market Selection: AI, ML, robotics - large and growing markets with high technical barriers
• Stage: Preseed to Seed (rarely Series A follow-ons)
• Check Size: $100K-$250K preseed, $250K follow-on
• Geography: Primarily US
• Lead/Follow: Generally leads preseed/seed rounds, follows opportunistically in Series A on portfolio companies
• Conviction: High - single GP structure, public fundraising, concentrated portfolio bet on founders
• Timeline: Preseed/Seed (not a multi-stage fund)
• Ownership Target: 1.25% post-seed, 0.7% post-Series A after dilution

Research Date: February 2026 Sources: Website, Substack archives, public announcements Confidence Level: High (detailed founder blog with public fund metrics)