Replicant Space – an HTTP API-based game based on the Bobiverse books

Hacker News

During Christmas 2025, I found myself burnt out from work. The last few years had been hard, and multiple redundancies saw the company I loved reduce down to just a handful of remaining staff. As a coping mechanism, I kinda disassociated for a while - throwing myself into my personal projects. AI was destroying the passion I had for coding. I tried to find some meaning in development again. After months of throwing myself into creating this game, I slowly fell back in love with coding. I taught myself a bunch of technologies that I was previously unfamiliar - Astro, Flask, Redis, Celery, Just. Anyway, this is Replicant Space. It's free. I love building and playing it. There's a cool story. Aliens are awesome. Feel free to poke the API and take over the galaxy.

Visit product View on Hacker NewsJul 29, 2026

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

72%72% 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.

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

60%60% 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: coding · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, month, way · Missing: mobile apps, ios, entrepreneurs

46%46% 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

33%33% 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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