I

I made a site that let you see incoming game jams

Hacker News

I made a site that let you see incoming game jams

Hey! I made this new thing called "yournextjam"! Here is the problem I had, and the solution I thought of: The problem is that every time I'm looking for a game jam (an event where participants try to make a video game from scratch), I end up on the itch.io's calendar but this one is poorly designed and it's really hard to find the game jam I am looking for. To solve this problem, I made yournextjam, a website that lists every game jams in a nice way, you can sort them by the amount of people currently in, the date and the duration of the event. I just launched that project so any feedback is truly appreciated, give me yours if you can/want! You can access to the website just by clicking the link below: https://yournextjam.xyz/

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Actual performance

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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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