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I'm not going to sell this as a great idea or anything, but just some numbers because I calculated them for myself.. Buy $500 worth of bitcoin in april 2010 - worth roughly $360 million As a comparable - $500 worth of uber in 2009, which you cant buy because of SEC regulations, restrictions, you not being a cool angel, not being in SV etc.: Buys you .25% of their Seed round which was probably worth 20% (industry standard?): .0025 .2 $70B = $35 Million. Thats just 1/10th and excludes any dilution, of which there must have been a lot. And you still cant liquidate this at all. The company may not even be worth what it says its worth. Ethereum: In the initial sale, 2000 ETH were worth 1 BTC which was worth roughly $600 at the time. 1 Eth is now worth ~$200. $200*2000 = $400k. For a comp, lets go with Robinhood. Its difficult to find "famous" startups that are only 2 years old. Robinhood had a $3M seed in dec 2013. $500 out of a 20% seed buys you .0033% of the company. Which you cant get because you cant invest etc. Robinhood has recently raised a C at a $1.3B valuation. Your stake is now worth $43k. Pre-dilution. And you cant sell for another 10 years. I'm not going to do this for every coin, but im pretty sure that we could find a really hot startup that is easily beaten by litecoin, dogecoin, ripple etc. I'm going to put $500 worth of BTC into every ICO from now on. If the outliers pay for the duds in startups, theres no reason that it shouldnt be working in crypto.

Visit product View on Hacker NewsJun 1, 2017

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, 000 · Missing: https docs, excited, just released

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nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

18%18% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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