Fi
Fine in Kube and Docker
Hacker NewsFine in Kube and Docker
Hey everyone, I make animated doodles and games that use ASCII and Unicode sprites so that they work on the CLI. Here's my latest which is a dog in a burning room: https://github.com/pdevine/thisisfine You can try it out on your kube cluster by using the command: `kubectl run -it --rm --image=ghcr.io/pdevine/thisisfine tif`, or in docker with the command: `docker run -it --rm ghcr.io/pdevine/thisisfine`. If you want to check out the library, it's called Go-AsciiSprite and can be found here: https://github.com/pdevine/go-asciisprite
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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, using, code · Missing: mac, agents, macos78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% 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, personal38%38% 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, revenue14%14% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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