A

A place that lists free games

Hacker News

A place that lists free games

Most people like free things, some people like games. If you like 'm both then this might be something for you! I've made a website, a Discord bot, a Twitter bot, and a bunch of scrapers that roam the web to find free games out there. Just so that they can be found in one place by other people. I'm running this on my own server, so I'm curious as to how much traffic it can handle. The Discord and Twitter bots run on a fixed interval, so that shouldn't be much of a bottleneck. You can check it out online at: https://www.freegameisafreegame.com On Twitter at https://twitter.com/fgiafg And you can check out the Discord server over here: https://discord.gg/upRUYWb Let me know what you think, and what could be improved! Cheers

Visit product View on Hacker NewsApr 18, 2020

Actual performance

7points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% 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

50%50% 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

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

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% 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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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