Pi

Pixel Edit Lite - Create retro sprites and art

Hacker News

Pixel Edit Lite - Create retro sprites and art

Create pixel art for TIC-80 & PICO-8 fantasy consoles with ease using our minimalistic 16X16 canvas sprite editor for iOS. I stumbled upon pico8 in HN sometime in 2020[1], and loved the simplicity and constraints of it. I wanted to create pico8 sprites on the go, while away from my MBP. This iOS app is an attempt at making it mobile while keeping the drawing tools simple and comes with 3 palettes (pico8, pico8 secret & tic80) I would love for you guys to give it a try and happy to get feedback and feature requests for the next iteration of the app. [1] https://news.ycombinator.com/item?id=22342295

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
68%68% 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: new, using · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, way · Missing: mobile apps, personal, entrepreneurs
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% 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
23%23% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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