Find Founders, Funding & Contacts for Any Startup
From product to founder to funding to contact — in one search
You just saw an impressive product. Or you're heading into a meeting with a startup in 20 minutes. Or you found an article about a company and need to figure out who to email.
The web has the answers. They're just scattered across LinkedIn, Crunchbase, TechCrunch, GitHub, Twitter, and a dozen tech blogs. Stitching them together by hand takes an hour. This skill does it in two minutes.
What you get
A 5-section briefing returned right in chat:
- Project Name + Website
- Overview — what the company actually does, in two sentences
- Funding History — full timeline (seed → A → B → ...) with rounds, amounts, lead/follow investors, and dates
- Team — founder + core team backgrounds, each member's education + complete career trail + notable achievements
- Contacts — verified LinkedIn, X/Twitter, GitHub, email, plus company-level handles
What makes it different
- No guessed emails. Every contact comes from a real public page. We will never output
[email protected]based on pattern matching. - Team backgrounds are real bios. Each founder gets 80-150 chars covering education, multiple roles, and notable achievements — not "CEO, leads strategy".
- Complete funding history. If a company raised seed, A, and B, all three rounds are stitched into one timeline.
- Honest when data is missing. Empty fields are omitted, never padded with "limited info available".
How it works
You: tell me everything about Verdent
Skill: searches LinkedIn, Crunchbase, TechCrunch, 36Kr, Huxiu, GitHub
cross-references founder identities (to avoid name collisions)
extracts education, career history, funding details
verifies contact channels on actual pages
You: receive a tight 5-section briefing — ready to copy & paste
Who it's for
| You are | You'll use it to |
|---|---|
| An investor | Quick pre-meeting diligence |
| BD / Sales | Find the right person to reach |
| Recruiter | Background-check a founder |
| Founder | Research a potential partner or rival team |
| Anyone | Connect with the team behind a product you admire |
Sample output (excerpt)
1. Project Name: Verdent | Website: https://verdent.ai
2. Overview:
Verdent is an AI Coding company founded in early 2025. Its flagship
product is a VS Code extension positioned as an "AI-era senior developer
assistant," featuring concurrent multi-agent task execution and
automatic code quality validation.
3. Funding History:
Early 2025 seed round of nearly $10M led by Sequoia China; November
2025 Pre-A round of tens of millions USD led by Tencent Investment.
4. Team:
- Zhijie Chen (CEO): Former Senior Technical Director at ByteDance,
led TikTok's recommendation algorithm. Previously Chief Technical
Architect at Baidu. Founded Verdent in early 2025.
- Xiaochun Liu (Co-founder): 11 years on Baidu's Phoenix Nest algorithm
team. Co-founded Verdent with Zhijie Chen in 2025.
5. Contacts:
- Zhijie Chen LinkedIn: https://sg.linkedin.com/in/zhijie-chen-bytechen
- Company Website: https://verdent.ai
- Company LinkedIn: https://www.linkedin.com/company/verdent
FAQ
Q: How accurate is the data?
A: Every fact is sourced from public web pages. Low-confidence findings are dropped, not output.
Q: Why no guessed emails?
A: Guessed emails bounce, harm your sender reputation, and look unprofessional. If we can't find a verified email, we omit the row.
Q: What about Chinese startups?
A: Fully supported. The skill searches 36Kr, Huxiu, QbitAI, IT Juzi, Maimai, and WeChat Official Accounts for Chinese-language sources.
Q: What if there's no public team info?
A: The team section will say "no public team information available", and contacts will only list company-level channels.
Q: Does it write to a file?
A: No. The output is returned directly in chat in a fixed 5-section format you can copy-paste anywhere.
Tips for best results
- Include the company website if you have it — gives the skill a confirmed anchor and speeds up the first pass
- Common founder names (王伟, John Smith) are cross-verified via previous company / school to avoid identity collision
- For deeper diligence, pair with
product-review-researchto see both team credibility and market reception in one sitting
