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Infstream – We’re trying to fix video monetization for creators

Hacker News

Infstream – We’re trying to fix video monetization for creators

TL;DR: https://infstream.com/?code=HN Hi HN – we’re Ben & Callum from Infstream. We’ve always been heavy users of YouTube, for entertainment, education and sharing. Towards the end of last year, we saw more and more horror stories of YouTubers losing their livelihood to the ad algorithm. We decided to build a content-first video platform, which aims to reduce issues by removing advertisers from the equation. Instead, we charge for the content you watch – bold, I know. Instead of paying in advertising and data, users on Infstream build their own streaming package, a channel at a time. Anyone can start a channel (US & UK now, Europe soon) and earn directly from their subscribers. Subscribers pay $1 per month per channel, of which the channel receives $0.75. This all begins from the first subscriber, there are no minimums to start monetization. Channels have total control, and can publish on a daily, weekly or monthly schedule – whatever is working for them and their subscribers. They’re free to keep publishing on other sites (we recommend it), and can promote exclusive content to their existing audience, quickly growing an ad-independent revenue stream. We’re getting ready to launch, and are inviting creators to sign up beforehand to get their channel ready. If you or a connection has had issues with publishing on YouTube we’d love to hear from you, and learn some more about the pain points. The platform is stocked with demo content, it would be great to get some feedback. https://infstream.com/?code=HN This was also my first production project using Hasura (super positive), so can share my experience if you’re considering trying it. Stack: - Hasura (GraphQL) - Lambda + S3 - Mux - Cube.js - Stripe Connect / Atlas - Vue 2 Callum and I will be hanging out in the comments to answer any questions. Feel free to drop me an email at ben@infstream.com if you’ve got questions or want to chat.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
86%86% 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 · Strong signals: user, stripe, email · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video, month, monthly · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
56%56% 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, exclusive, soon · Missing: plus, intuitive, reviews
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, subscribers · Missing: arr, mrr, profit
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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