Why Twerkhub has no algorithm feed.

I've been asked this at every single investor meeting since 2020: "When are you adding the recommendation feed?" My answer every single time: "Never." Here's why.

What everyone else does.

TikTok's For You Page. Instagram's Explore. YouTube's autoplay. Every creator platform converged on the same pattern around 2017: infinite feed of algorithmically-ranked content, optimized for watch time, with ML models that learn your preferences and show you "more like what kept your attention last time."

That pattern works. It drives engagement. It maximizes revenue per user. It's also why you've scrolled through TikTok for 2 hours and can't remember a single thing you watched.

What we do instead.

Seven curated playlists. Hand-picked by a human (Alexia + occasionally me + occasionally a guest curator). Updated weekly on Thursdays at a specific time. When you enter a playlist you see: a ranked TOP5 (the hot cuts) followed by the full archive grid in sequential order. That's it. No feed. No infinite scroll. No "recommended for you."

You can search (/search). You can browse by city or by style. You can read the blog for deeper context. None of these use ML-based ranking. They're all editorially organized.

Why this is a better product.

1. It respects the creator. On algorithmic platforms, creators chase the algorithm. They rewrite their thumbnails, hashtags, and choreography decisions based on whatever the model is currently rewarding. That's not creative work — that's system prompt engineering. On Twerkhub, the way to get curated is to make something excellent and stay consistent. That's it.

2. It respects the viewer. An algorithmic feed is trying to capture you. A curated playlist is trying to respect you. You pick the playlist. You decide when to leave. Nothing is engineered to keep you watching past the point you wanted to stop.

3. It creates discoverability without homogeneity. Algorithmic platforms suffer from mode collapse: over time, the content you see converges on whatever demographic the algorithm thinks you are. Curation produces variance by default — Alexia might pick a Russian heels piece and a Taiwanese ensemble and a Venezuelan reggaetón floor cut in the same drop. You get breadth by design.

"The algorithm is a lazy editor. A human editor with taste is a competitive advantage when everyone else is using lazy editors."

What we give up.

Let me be honest about the cost.

• Scale. Our growth curve is flatter than platforms with algorithmic feeds. TikTok can take you from 0 to 100M views overnight if the algorithm picks you up. Twerkhub can't. We'll never be TikTok.
• Session length. Average Twerkhub session is 14 minutes. TikTok's is closer to 60. We don't try to compete.
• Ad revenue. We don't sell ads. Which means we don't get ad CPM revenue. Which means our unit economics have to work on subscription + token flows alone.
• Lazy discovery. If you don't know what you want, Twerkhub is harder. TikTok decides for you. Twerkhub asks you to choose a playlist first. Some users hate this.

What we keep.

• Retention. Members who get past the curation learning curve stay 5-8× longer than the industry average.
• Quality signal. Every video on Twerkhub was picked by a human who thought it was worth watching. That's a different contract with the viewer.
• Creator clarity. Creators know exactly how to get on the platform: make excellent work, pitch us, get curated. They're not guessing at an invisible ranking function.
• Zero algorithmic harms. No addiction-engineered features. No filter bubbles. No rage-bait optimization. These are real harms on other platforms. We skip them by skipping the mechanism.

Will we ever add it?

No. Not as our primary surface. We might, eventually, build a related videos widget — "if you liked this Лада Гоцци piece, here are 3 similar ones." But that's not a feed. It's a helper. It doesn't replace the playlist structure.

The broader principle: every product decision at Twerkhub gets asked two questions. "Does this help the creator?" and "Does this respect the viewer?" If the answer to either is no, we don't ship it. Algorithmic feeds fail both tests.

The hypothesis.

If curation loses, it loses. We accept that. But if it wins — even at 1/100th the scale of algorithmic platforms — we've proven that there's a seat at the table for creator platforms that respect both sides of the contract. That's a bet worth taking.

Seven years in. Still betting.

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