Founders are forced to raise blind — guessing what funds are looking for.
Byblos surfaces the VC intel in one place: what every investor is saying, what they'll fund, and who's active and ready to deploy.
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I continue my research for matcha places around my new neighbourhood, and it still sucks.
I think I am at the point in life when I think everything home-made is better. who is with me?
The top fundraising mistake is generic outreach at low volume.
I analyzed 12,593 fundraising articles from the VCs published since 2024.
233 articles said the worst thing you can do is email 12 funds the same message.
Your AI category determines your raise.
I read 61,691 VC newsletters and pulled 239 AI funding rounds.
Median round size swings 5x depending on which vertical you're in. https://t.co/RMNVpunjrU
@i_mika_el agreed. capital intentisty is doing most of the work in AI video specifically. you train before you got the product, so the first cheque has to be big.
the strongest thing on your deck is someone else's data.
if your whole model rests on people behaving a certain way, go find published evidence that they already do. your assumption becomes a documented pattern.
Your AI category determines your raise.
I read 61,691 VC newsletters and pulled 239 AI funding rounds.
Median round size swings 5x depending on which vertical you're in. https://t.co/RMNVpunjrU
if your competition slide says you have no competitors, you didn't look hard enough.
name the adjacent players. investors already know them.
pretending they don't exist just tells how much "research" you've done.