alexeichemenda
Joined 13 years ago
Joined 13 years ago
Top VCs—who see the best deals and run deep diligence—still only have a 1–5% hit rate. As an angel, you don’t have that level of access or time. Even if you get strong referrals, you’d need to be 10–15x better than elite VCs to pick winners in a small portfolio. Unless you’re investing in at least 10 companies, it’s statistically a losing game.
My experience: I invested in ~200 companies early stage (with some winners like HuggingFace, Checkr & more).
It's unfortunate to see a founder believe that one accelerator would make or break their company. Typically an accelerator amplifies your existing trajectory - if you're a fast-growing company, you'll get more term sheets from investors than you know what to do with. If you're flat, they won't be attracting investors in any way. It's a founder's job to navigate this instead of relying on the accelerator to find $500k.
As one example, Sequoia invested in Airbnb at $0.01 per share, and Airbnb's current stock price is $102, almost exactly 10000x return. This happens more often that you think if you're not in the early stage & top VC world.
The other option (more often used) is that you can raise more money at a higher valuation. You dilute yourself by the same amount as the initially planned raise, but you get more money and don't end up selling more/all of the company.
The solution to this problem is incrementality measurement at the channel level. Every time you scale with a recently onboarded vendor, measure baseline of ALL conversions happening on your app. If this baseline doesn't move, cut the vendor. I say scale and not launch because upon launh, there won't be a visible impact on the global conversions. To be able to spot this spike from baseline, pick a small market than "worldwide". For ex, pick "California", let the new vendor scale in California, and measure spike in California.
There are no singled-out pockets that you can tap into and make up SF annual budget. It's all about cumulating a lot fo long-tail small pockets + 1-2 large pockets.
So I’m assuming if some do it for phones, must be some doing it in laptops.
Again. It’s all about probabilities. 1/ What’s the likelihood of the company doing that? Close to none. 2/ what would be the severity of the issue if they were doing that for me? Very high. 3/ what’s the effort level to prevent that? Very little.
This ratio ultimately tells us what to do.
There is a risk/reward/effort to look at, putting a small piece of tape is low risk / low effort / high reward (if your company actually angers laptops).