I made an AI platform to find sponsors and brand deals for youtubers

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Finally after 20 years in software, and 4 years on youtube, I am launching my first ever indie product, Sponsorstream. It uses AI to sift through youtube to find sponsors relevant to creators' video ideas, to help them make more money and become full-time Youtubers faster, through sponsorships and brand deals. I initially made this for a french AI youtuber (Top 5 in France) who raised the difficulty in finding relevant sponsors. Maybe you'll find it useful too? Took a while to get myself to post. Might not be perfect, but got to start somewhere. Appreciate any feedback.

Visit product View on Hacker NewsApr 23, 2024

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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.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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