deadSPEAKER, inc. – horror comedy puzzle game

Hacker News

hi, HN this is a horror-puzzle-comedy game i made for the run.world 'back to work' game jam. it's based on a worldbuilding project i developed based on a dream my brother had where he was working a call center job, & keenly aware the caller on the other end of the line had died a long time ago, so helping her troubleshoot remotely was going to be extra challenging the game was assembled entirely on the run platform, which runs phaser & that's the extent of my technical knowledge. i was a creative writing major & have essentially zero coding/programming knowledge. 2006 myspace html notwithstanding the gameplay/ui is based on my brief but traumatic stint at TWCable (rip) using a certain ICOMS billing system. which is to say, it's a little overwhelming, heavy on the 2000s jank, but imo also hauntingly nostalgic grateful to anyone who checks it out

Visit product View on Hacker NewsSep 15, 2026

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3points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, coding · Missing: mac, agents, macos

74%74% 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.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000 · Missing: https docs, excited, just released

46%46% 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

34%34% 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

18%18% 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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