Endless Adventure – A retro text adventure where you can do anything

Hacker News

Hey HN, Endless Adventure is a DOS-style text adventure game that lets you explore any story you can imagine. It should feel like it came from an alternate universe where we developed LLMs in the 80s. No login needed so you should just stop reading this and go play with it yourself! I’ve poured a lot of love into both the UI and the storytelling engine that powers it. Everything looks simple, but behind the scenes there is a lot of work to keep context, move the story forward, and maintain state for things that are never explicitly exposed (e.g. inventory, karma, quests, NPCs, etc). I personally built everything except for the theme song which was composed and recorded on a C64 by Beatscribe ( https://beatscribe.itch.io ) You don’t need an account to play, but signing up will let you continue your adventures on other devices. Let me know what you think and the types of adventures you explore!

Visit product View on Hacker NewsSep 24, 2025

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

75%75% 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: context · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% 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: personal · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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

19%19% 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

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

Correct prediction on native model

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Product Hunt+5

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