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The Leaderboard
May 1st, 2025
100 VCs vs 1 AI
Uncurse your seed round

gm world-changers. In today's issue we're diving into an AI for raising rounds, a language learning app that could beat Duolingo at its own game, and a way to build your own AI models without code.

Fundraising, uncursed

FundSpark helps you raise without cold emails, tracking chaos, or spreadsheet meltdowns. It finds investors, manages outreach, cleans up your pitch, and keeps your cap table from turning into a nightmare.

đŸ”„ Our take: Fundraising is one of the few jobs where writing emails to strangers somehow takes longer than building a company. FundSpark doesn’t make it fun. It just gives you a chance to finish without hating the process or yourself.

Stop forgetting the words you just learned

Wordwise is a tool for saving vocabulary while you read or study. It lets you tag, translate, and add context to words you want to keep. Then it brings them back at the right time so you actually remember them. No points. No pressure. Just spaced repetition that works in the background.

đŸ”„ Our take: Most language tools want you to play a game or keep a streak. Wordwise just wants you to stop forgetting things. You use it when you need it, ignore it when you don’t, and it still does the job.

Build weird AI workflows without code

Blooming lets you drop AI models onto a whiteboard and connect them however you want. Text to image, image to video, video back to text. You can link outputs together, tweak prompts as they go, and see how each model plays off the last one. It’s all visual, drag-and-drop, and runs in your browser.

đŸ”„ Our take:
Most AI tools give you one input, one output, and call it a day. Blooming is more like a sandbox. You can stack models, loop them, break them, and figure out how they interact without writing a line of code. It feels closer to experimenting than using a product.

If everyone can code, who gets hired?

Parth Ahir dropped a question that got folks thinking: if AI makes it easy to build with vibes instead of code, how do you figure out who’s actually good?

Some say hiring will shift toward measuring creativity—less “solve this algorithm” and more “can you steer the AI toward something that works?” Others aren’t ready to ditch the old ways, arguing that even vibe coding needs a solid foundation under the hood.

It’s a short post, but it cracks open a big debate. If you’ve ever wondered what happens to interviews when everyone’s got a copilot, this one’s worth jumping into.

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