Elon's Shenanigans – now on your Homescreen

Hacker News

Hey HackerNews! I'm really excited to introduce... Elon's Shenanigans, the first-ever no-code metaverse NFT web3 app. Now available on your all devices here: https://install.page/elonmusk What does it do? Elon's Shenanigans is a real functional app you can install on your Homescreen/Desktop/Dock to get quick access to Elon Musk's Twitter feed. You can install it on iOS, Android, Windows, macOS, and Chrome OS from the universal installation link above. The problem we're solving None, really. But Elon Musk's Tweet feed is so entertaining in and of itself that we reckoned it deserved its own app. How much does it cost? It's completely FREE, forever and ever, until the end of time! We want to focus on user growth right now and think about monetization later. Our future plans include collecting as much data on you as possible and a $499/month subscription for dark mode. What's the market for this? Elon Musk has 80 million followers. We calculated we can acquire 10% of them. If half of those users need dark mode, that's $328 billion ARR. Humongous TAM, SAM, SOM, TOM, and MOM. Who are our competitors? We don't have any. But it wouldn't really matter anyway since we have 5 pending patents. What's our ask? We're looking to raise a $50 million Pre-Seed. If interested, fill out the Google Form on our website and I'll get back to you with my Calendly link whenever I have time (you'll have to sign an NDA before the call). Who is on the team? I'm a Former Facebook CEO, Forbes 70 Under 70 Awardee, Two-Time Nobel Prize Runner-Up, Olympic Squash Bronze Medalist. Also an Internet Evangelist and Uppercase-Letter Enthusiast. My 6-year-old daughter is in charge of design. You can see a sample of her work on my personal page (she did the graphic design, I wrote the code): https://kevin.tw Thank you for your support, HackerNews, and see you all at the IPO ceremony! PS: Use coupon code HACKERNEWS at checkout to get $5 credit right now + 3% off every other month for the first 4 months

Visit product View on Hacker NewsApr 28, 2022

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

96%96% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, growth, subscription · Missing: mrr, revenue, profit

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

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