On

Online third-person combat game survey

Hacker News

Online third-person combat game survey

Hi hackers! My name is Kaspian and I’m conducting a study regarding different aspects of third-person combat. Together with some friends from university we’ve developed an entirely online-based survey in which you get to experience different ‘styles’ of third-person combat with different variations, and you’ll get to answer some questions about your experience. It’s completely anonymous of course. Regarding the technical side: the online survey is created using Sveltekit and is hosted on GH pages. The game variations are UE4 4.27, with this fork of the engine to allow for HTML5 exports, but it’s not without its quirks haha. For future development I would probably use some sort of game streaming service in order to mitigate the limitations and being able to provide the same visual fidelity for everyone. I would really appreciate it if you’re interested in participating. It takes about 5-15 minutes to complete. I’ll gladly answer any questions you might have.

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
71%71% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
34%34% 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 HuntUnlikely to reach the leaderboard · Strong signals: visual, using · Missing: mac, agents, macos
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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

Similar products

Sh
Shuruka Boxing – First person Boxing game42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shuruka Boxing – First person Boxing game

Hacker News1
Lu
Lunar Survey: A Mario Galaxy Tribute in WebAssembly48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lunar Survey: A Mario Galaxy Tribute in WebAssembly

Hacker News1
Pollacle
Pollacle59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Survey to Donate platform

Indie Hackers1b2b
Survey101
Survey10120%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The All-In-One Survey Tool

Indie Hackers3analytics
Ha
Happeh Survey – track your happiness23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Happeh Survey – track your happiness

Hacker News2
So
Socially distant ordering for in-person venues44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Socially distant ordering for in-person venues

Hacker News1
Th
This Person Exists42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

This Person Exists

Hacker News11
Na
Name-classifier – infers attributes about a person from a name49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Name-classifier – infers attributes about a person from a name

Hacker News2
Daspoll
Daspoll53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Survey builder

Indie Hackers1marketing
Ex
Example of a tracking survey29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Example of a tracking survey

Hacker News1