AgentGames.co – my game creator

Hacker News

Hey all, I recently built the first version of my project to play and create interactive story games with AI agents. Each game can have up to 20 agents, each agent can have an image, voice, access to other agents, and resources to enhance the experience. All game configuration has logic conditions you can set. For example, from agent A you can only access agent B if you've visited agent C or you have a specific resource item. You can create anything from a murder mystery to a dungeon crawler. The resources are dynamic and can set drop rates, make stackable for currencies or health, and give them their own images as well. To play: Type or speak in game. If you want to go somewhere, say where you want to go. To create: Describe what you want. You can manually configure as well. You can try it for free. I'd really love your feedback. There was a lot of trickiness along the way to build this, so I learned a lot. More improvements to come Happy to answer any questions, thank you!

Visit product View on Hacker NewsFeb 27, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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.

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

52%52% 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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

23%23% 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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