Anup Engineering.. those who are wondering

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The cold hard truth:

Why do companies like Quibi raise billions, while companies like Peloton get nothing?

Because fundraising is a GAME

And the insiders keep the rules to themselves.

Here are 100 tips the insiders don’t want you to see but will help you win the game:

1. You can’t play the game without nailing the basics.

There are 5 core ingredients to a startup pitch.

Most have 2.
Good ones have 4.
The best have all 5.


2. Now that you have a grasp of the basics, it’s time to level up.

Good news - most founders make the same mistakes as each other.

Bad news - these mistakes are really easy to make.

Here's what not to do:


3. Ok so you told me what not to do.

So what should I do?

Read below.


4. We’re in a really unique fundraising environment right now.

It’s important to contextualize all these tips in the “here and now” of what’s going on in the landscape.

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.