I

I forked Ethereum and raised $25M for medical research

Hacker News

I forked Ethereum and raised $25M for medical research

I'm just the founder. gitlab.com/pulsechaincom | PulseChain.com. Saves the environment using proof of stake instead of proof of work. Has higher throughput, faster blocks, which is common in ETH forks. What it has that's more interesting is the entire ETH system state, 25% fee burning, no inflation. Most crypto things on here are met with hatred, but this one raised (and is still raising) millions and millions to try and save lives, so maybe it will get just a lukewarm response :) I'm pretty sleep deprived. Heading to sleep for a bit.

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3points
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Did not reach leaderboard

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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