Lil digi – play a platformer game as yourself

Hacker News

I've been monitoring some of the image generation progress for game sprites for a while and was really impressed by Gemini Flash. This demo lets you upload a picture and turns it into an animated pixel character (a lil digi gif that you can download). I chain together the pixel art frames and insert the player into a tricky platforming level. video demo: https://www.youtube.com/watch?v=EK7z-HltssE api usage: Unfortunately Gemini Flash 2.0 image Gen has really tight API limits that don't scale up for paid tiers -- if anyone on the team sees this and wants to help me out, my email is in my profile or you can reach me at hello@lildigi.me level stats: For the speedrunners out there, the fastest glitchless times I've seen around 17-18s. stack: cloudflare pages + aws lambda + gemini happy to answer any questions!

Visit product View on Hacker NewsApr 27, 2025

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

86%86% 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: email, gemini · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, 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

50%50% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

31%31% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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