TI

TILvids – An ad-free edutainment video community powered by PeerTube

Hacker News

TILvids – An ad-free edutainment video community powered by PeerTube

Hey! I just wanted to share a new video community that I've started called TILvids (tilvids.com). The goal of the site is to create a video community based around edutainment content from smaller, independent creators. I started it because I've become very frustrated with YouTube, both as a creator and a user. As a creator, it's annoying to constantly chase YouTube's algorithm to try and get anyone to see my content. As a user, it feels really bad/unhealthy the way YouTube constantly harvests my data. I started the community with the idea of it being non-profit. There are no video ads, no harvesting user data, etc. It runs on open-source PeerTube. Creators are welcome to monetize however they want (Patreon donations, merchandise, in-video sponsors, etc), and the site will eventually be donation-based (currently I'm just self-funding it as best as I can). Creators are pretty heavily curated for the moment, with uploads disabled for normal users, due to limitations on scale/cost, and because I want to get some good creators in the system to help define what type of community I want to grow. Eventually I intend to open this up a bit more to allow initial downloads for all users, and then expanded storage for users that are creating content the community values. I'd love feedback, both around the idea and how the site works if you're willing to check it out (https://tilvids.com). Happy to answer questions you might have as well. Appreciate all of it in advance!

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Actual performance

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
91%91% 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, new, open · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
57%57% 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, users, way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
22%22% 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.

Incorrect prediction on native model

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