Boards, Angel & VC Investments
My/Our Value
I can share failures and pitfalls to avoid, based on my experience of building a global $100m ARR B2B SaaS business as Co-Founder/CTO - Treasure Data.
Investment Thesis
I’m not an investor in general, but ocassionally invest for people I’d like to work with. I often invest with my business partner Hiro Yoshikawa to maximize our values.
1. Team
I much prefer the company who has multiple founders, knowing how hard it is to build a great company.
2. Areas of Interests
- B2B (I don’t understand B2C), ESG, D&I
- My focuses / specialities are Data, SaaS and Customer Experience.
- I can not help CDP (Customer Data Platform) and Marketing Data Analytics company due to non-compete with Treasure Data, Inc.
3. Global Distribution
I’d like to help companies who’s solution can be distributed globally, not locally.
4. Check Size
My usual check size is 25k-50k USD for the angel investments, and 250k-500k USD for the funds.
5. Stage
I prefer to help at the pre-revenue stage. The company with $10m+ valuation is not very attractive for me, given my check size.
List of External Boards (Alphabetical Order)
- Idein - “Enabling Software to Utilize Any Physical-World Data”
List of Angel Investments (Alphabetical Order)
- Calyptia - “Enterprise Fluentd / Fluent Bit”
- DataFalcon - “Building more sustainable society through data”
- Diarkis - “Massive Multiplayer Applications For All”
- Divercity - “Connecting underrepresented professionals with diverse-minded companies”
- Dyad - “Healthcare Operations AI”
- FanFare - “Vertical SaaS for the Waste Industry”
- Genus AI - “AI-based Creative Generation & Prediction”
- Immerss - “Live commerce lives here”
- Lazuli - “Organize & Democratize Product Data”
- Republi9 - Tokyo Vegan Gyoza - “Happiness in a Wrap”
- Rill Data - “Operational analytics made easy”
… and a few other stealth startups.
List of Funds (Alphabetical Order)
- All Star SaaS Fund
- BeeNext II
- Chiba Dojo II
- Heavybit Holdings IV
- OSS Capital I
- Sierra Ventures XII
- XTC Fund I