Cl

Cleanicons.com

Hacker News

Cleanicons.com

This new years one of my goals was to make money on the internet. So here is my attempt! I have been making and tweaking these icons for the past 2 months and have put a site together! I would love any feedback you guys have or icons you would like to see! http://cleanicons.com List of icons: Camera, Cloud, CoffeeBean, Cog, CommentBubble, Computer, Credit Card Front/Back, Arrows in all directions, Eye, FastForward, Folder, Garbage, Smile, Heart, Home, LightBulb, Link, List, MagnifyingGlass, Minus, Pause, Pen, Pencil, CellPhone, HomePhone, Pin, Play, Plus, Present, Printer, Rewind, RSS, Frown, Screwdriver, Screwdriver and Wrench Crossed (settings), Star, Tag, Target, Ticket, Video, Wifi, Wrench, X

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Actual performance

10points
5comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% 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.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: computer, new · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, month · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money · Missing: web3, chat, crypto
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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