I built a website to track the newest DeFi projects

Hacker News

Hey everyone, I was looking for a website that tracks the newest, hottest DeFi projects since it’s pretty time consuming to subscribe and read all the newsletters, follow influencers and blogs. The noise is just overwhelming. I couldn’t find a tool that lists these fresh projects so I decided to build one. This website currently lists a bunch of DeFi projects (the list is incomplete RN) and also highlights the new projects and the ones with an upcoming token sale (Dex offering). The main value proposition here is to make new projects easily discoverable by visiting the website or subscribing to the newsletter. The website is far from complete, but I wanted to show you guys and early version to get some feedback. What do you think? Is it sg that provides value to you? What’s missing? Website: https://www.defirise.com/ Thanks in advance!

Visit product View on Hacker NewsAug 6, 2020

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3points

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% 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

42%42% 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

32%32% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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