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Atreeyo – Esports Gaming Platform

Hacker News

Atreeyo – Esports Gaming Platform

Hi HN! My name is Paris, a former student of Startup School and one of the co-founders for Atreeyo which is a platform where influencers, pro gamers and content creators connect with brands to find sponsorship deals. We started this when we noticed that lots of gamers traveled to Esports tournaments around the country in the hopes of securing a sponsorship deal with vendors in attendance. What ended up happening was these vendor booths would get overwhelmed with requests and many of the gamers weren't able to fully articulate what type of sponsorship deal they'd be interested in with the allotted time. Atreeyo was created to streamline the process for both gamers and brands. Our team isn't very big at the moment and consists of 2 people, my co-founder and myself, with me serving as the entire development team. We are officially now in the soft launch phase and wanted to get as much feedback as we can on the site, concept wise, technically, etc. before ramping up on staff. We would love to hear any and all feedback. https://atreeyo.com Thanks!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
73%73% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
34%34% 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
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
22%22% 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
17%17% 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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