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Made this game in 5 minutes–but is it the best use of my creation tool?

Hacker News

Made this game in 5 minutes–but is it the best use of my creation tool?

I’m working on a creative tool that made it possible for me to build this game in just 5 minutes. It's a powerful tool, but I’m at a crossroads now—with only a month of runway left. There are already some amazing tools in this space, like Bolt and Lovable. Should I add a paid plan and compete with them directly? Or would it make more sense to focus on a fresh angle or niche for this tool? I’d really appreciate any advice or feedback. Also, feel free to check out the tool behind the game—it’s free to try, and I’d love to hear your thoughts on it.

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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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.
Product HuntOn track for Day 1 leaderboard · Strong signals: lovable · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% 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
37%37% 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 · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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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