How We Built a Live Web3 VC Directory Using Manus.ai - From Idea to Execution

May 13, 2025

How Manus.ai helped us go from idea to research to website.

How We Built a Live Web3 VC Directory Using Manus.ai - From Idea to Execution

May 13, 2025

How Manus.ai helped us go from idea to research to website.

Every Web3 founder, marketer, or builder has asked the same question at some point: "Who’s actually deploying capital in crypto right now?"

So we set out to create something simple but valuable, a live directory of verified Web3 and crypto VCs. Not a messy Notion board or outdated tweet thread, but a real website with real firms, searchable and filterable, with everything founders need to connect with the right investors.

Table of Contents

  1. Starting With the Prompt

  2. Cleaning the Data and Making It Real

  3. Turning a CSV into a Functional Website

  4. Designing a UI That Doesn’t Feel Like 2012

  5. Final Touches and Going Live

  6. Check Out the Final Version

  7. What We Learned Using Manus.ai

Starting With the Prompt

We started with a straightforward ask:

“Find 200 Web3 and Crypto Venture Capital firms that are actively deploying capital. Return their name, website, funding stage, notable investments, contact info, LinkedIn, and Twitter. Use ‘N/A’ if you can’t find something.”

That’s it. Manus jumped in and sourced data from places like:

  • VCSheet.com

  • ThousandInvestors

  • Alchemy

  • Moralis Web3 Wiki

  • Signal by NFX

  • OpenVC

It wasn’t perfect, but it was a solid foundation. Within minutes, we had a CSV of over 100 VCs, including where they invest, who they’ve backed, and how to contact them.

Cleaning the Data and Making It Real

With the raw data in hand, we ran into the usual AI issues: duplicate entries, fake-looking URLs like “vc4.com”, and a bunch of “Web3 Capital Partners” clones.

We asked Manus to go deeper, validate results, remove duplicates, and fill in all the blanks. We also told it to prioritize quality over quantity - real firms actively investing, not just hitting the 200-count target.

After a few iterations, we ended up with a clean, verified dataset of 124 legitimate Web3 and crypto VC firms, including:

  • Contact info

  • Investment stages

  • Notable portfolio companies

  • LinkedIn and Twitter links

No fillers. Just a signal.

Turning a CSV into a Functional Website

Now came the fun part - turning a spreadsheet into something people could actually use.

We spun up a Next.js project, built a basic structure (header, footer, homepage), and created individual VC cards that show all the relevant info.

To make it truly usable, we added:

  • Search by name or investment

  • Filter by stage (Pre-Seed, Seed, Series A, etc.)

So instead of scrolling through a spreadsheet, you could just type “DeFi,” “Gaming,” or “Series A” and instantly find relevant firms.

Designing a UI That Doesn’t Feel Like 2012

The first version of the site worked, but it looked like CSS hadn’t been invented yet.

We drew inspiration from the beautiful Gallereee website, then brought those vibes into our own build:

  • Dark background

  • Smooth transitions and animations

  • Clean typography

  • Mobile responsiveness

We fixed issues with CSS not rendering by embedding the styles directly in the layout. That solved everything - no more broken layouts, no more “unstyled blob” syndrome.

Final Touches and Going Live

By the end, we had:

  • A mobile-friendly, fast-loading site

  • Pagination to show 20 firms per page

  • A styled “Load More” button that actually works

  • A proper About page explaining how we verified the firms

  • Attribution and links back to RZLT.io

We also made sure every page and component had a consistent look and feel.

Check Out the Final Version

Want to see the final product?
It’s live here:
👉 https://blbycwjj.manus.space

Use it to discover relevant investors, get contact info, and save hours of Googling.

What We Learned Using Manus.ai

This project taught us a lot about how to work with AI instead of against it. Here are some takeaways:

  • A good prompt saves you days of work. Be clear, structured, and specific.

  • AI is great at grunt work, but you still need human oversight. We reviewed and cleaned everything.

  • Design matters. If it looks bad, no one’s going to use it - no matter how useful the info is.

  • You can build MVPs fast. We went from idea to live product in a matter of days, not weeks.

And most importantly, you don’t need a huge team to ship something useful.

We shipped fast, learned even faster, and ended up with a public tool we actually use, and now, you can too.

Whether you’re building your own investor database, spinning up a lead-gen product, or experimenting with AI-powered research, one thing’s clear: the game has changed.

If you want to create something similar, or something wildly different, we’re always here to chat, rzlt.io.

Every Web3 founder, marketer, or builder has asked the same question at some point: "Who’s actually deploying capital in crypto right now?"

So we set out to create something simple but valuable, a live directory of verified Web3 and crypto VCs. Not a messy Notion board or outdated tweet thread, but a real website with real firms, searchable and filterable, with everything founders need to connect with the right investors.

Table of Contents

  1. Starting With the Prompt

  2. Cleaning the Data and Making It Real

  3. Turning a CSV into a Functional Website

  4. Designing a UI That Doesn’t Feel Like 2012

  5. Final Touches and Going Live

  6. Check Out the Final Version

  7. What We Learned Using Manus.ai

Starting With the Prompt

We started with a straightforward ask:

“Find 200 Web3 and Crypto Venture Capital firms that are actively deploying capital. Return their name, website, funding stage, notable investments, contact info, LinkedIn, and Twitter. Use ‘N/A’ if you can’t find something.”

That’s it. Manus jumped in and sourced data from places like:

  • VCSheet.com

  • ThousandInvestors

  • Alchemy

  • Moralis Web3 Wiki

  • Signal by NFX

  • OpenVC

It wasn’t perfect, but it was a solid foundation. Within minutes, we had a CSV of over 100 VCs, including where they invest, who they’ve backed, and how to contact them.

Cleaning the Data and Making It Real

With the raw data in hand, we ran into the usual AI issues: duplicate entries, fake-looking URLs like “vc4.com”, and a bunch of “Web3 Capital Partners” clones.

We asked Manus to go deeper, validate results, remove duplicates, and fill in all the blanks. We also told it to prioritize quality over quantity - real firms actively investing, not just hitting the 200-count target.

After a few iterations, we ended up with a clean, verified dataset of 124 legitimate Web3 and crypto VC firms, including:

  • Contact info

  • Investment stages

  • Notable portfolio companies

  • LinkedIn and Twitter links

No fillers. Just a signal.

Turning a CSV into a Functional Website

Now came the fun part - turning a spreadsheet into something people could actually use.

We spun up a Next.js project, built a basic structure (header, footer, homepage), and created individual VC cards that show all the relevant info.

To make it truly usable, we added:

  • Search by name or investment

  • Filter by stage (Pre-Seed, Seed, Series A, etc.)

So instead of scrolling through a spreadsheet, you could just type “DeFi,” “Gaming,” or “Series A” and instantly find relevant firms.

Designing a UI That Doesn’t Feel Like 2012

The first version of the site worked, but it looked like CSS hadn’t been invented yet.

We drew inspiration from the beautiful Gallereee website, then brought those vibes into our own build:

  • Dark background

  • Smooth transitions and animations

  • Clean typography

  • Mobile responsiveness

We fixed issues with CSS not rendering by embedding the styles directly in the layout. That solved everything - no more broken layouts, no more “unstyled blob” syndrome.

Final Touches and Going Live

By the end, we had:

  • A mobile-friendly, fast-loading site

  • Pagination to show 20 firms per page

  • A styled “Load More” button that actually works

  • A proper About page explaining how we verified the firms

  • Attribution and links back to RZLT.io

We also made sure every page and component had a consistent look and feel.

Check Out the Final Version

Want to see the final product?
It’s live here:
👉 https://blbycwjj.manus.space

Use it to discover relevant investors, get contact info, and save hours of Googling.

What We Learned Using Manus.ai

This project taught us a lot about how to work with AI instead of against it. Here are some takeaways:

  • A good prompt saves you days of work. Be clear, structured, and specific.

  • AI is great at grunt work, but you still need human oversight. We reviewed and cleaned everything.

  • Design matters. If it looks bad, no one’s going to use it - no matter how useful the info is.

  • You can build MVPs fast. We went from idea to live product in a matter of days, not weeks.

And most importantly, you don’t need a huge team to ship something useful.

We shipped fast, learned even faster, and ended up with a public tool we actually use, and now, you can too.

Whether you’re building your own investor database, spinning up a lead-gen product, or experimenting with AI-powered research, one thing’s clear: the game has changed.

If you want to create something similar, or something wildly different, we’re always here to chat, rzlt.io.

Let’s rewrite the playbook.

Contact us

Let’s rewrite the playbook.

Contact us

Let’s rewrite the playbook.

Contact us