Everything you need to know about platform algorithms, our research methodology, and how to put these insights to work for your content.
General Questions
What is AlgorithmHub?
AlgorithmHub is an independent educational platform dedicated to researching and explaining how social media platform algorithms rank, distribute, and recommend content. We synthesise public research, platform documentation, patent filings and creator data to produce guides that help creators and marketers make smarter content decisions. We are not affiliated with TikTok, Instagram, YouTube, Facebook, X, or LinkedIn.
Are these algorithms official or confirmed by platforms?
No. Platform algorithms are proprietary and platforms rarely disclose full details. Our content is based on publicly available platform documentation, academic research, patent filings, creator interviews, and observable patterns from large-scale data analysis. We are clear about the confidence level of each claim and update our guides whenever platforms make official disclosures.
How often do you update your content?
We review and update every platform guide on a monthly basis. Major algorithm changes — like TikTok's 2024 search update or Instagram's 2025 Reels ranking overhaul — trigger an immediate update. All guides display a "Last Updated" date at the top so you always know how fresh the information is.
Is AlgorithmHub free to use?
Yes — all of our guides, articles, checklists, and tools are completely free. We are funded through affiliate partnerships with creator tools we genuinely recommend. There is no paywall and we will never charge for educational content.
Who is AlgorithmHub for?
Our content is designed for independent content creators, social media managers, digital marketing teams, and anyone who publishes content on social platforms and wants to understand why some content gets distribution and some does not. No technical background is required — we explain everything in plain language with practical examples.
TikTok Algorithm Questions
What is the TikTok FYP algorithm?
The For You Page (FYP) algorithm is TikTok's recommendation system that selects which videos to show each user on their main feed. It uses a machine learning model that weighs signals including video completion rate, re-watch rate, shares, comments, likes, and user interaction history. Each new video is initially shown to a small test audience; high performance triggers wider distribution in successive waves. Follower count has very little influence compared to these engagement signals, which is why new accounts can go viral.
How many views before a video "goes viral" on TikTok?
There is no fixed threshold. TikTok distributes in waves — typically starting with 200–500 users. If your completion and engagement rates are strong in that cohort, the algorithm pushes to 1,000–5,000 users, then 10,000–50,000, and so on. A video can stall at any wave if metrics drop. The key is hitting above-average engagement rates in each wave, not chasing a raw view number. Videos have also been known to "re-viral" weeks or months after posting if they get picked up by a new audience segment.
Do hashtags matter on TikTok?
Hashtags on TikTok serve two functions: they help TikTok's natural language processing categorise your content, and they can surface videos in hashtag search. However, their impact on FYP reach is modest compared to video performance signals. Using 3–5 relevant, specific hashtags (mix of niche and mid-size) is recommended. Avoid stuffing 20+ generic hashtags — it signals low-quality content and has no demonstrated benefit for FYP distribution.
What video length works best on TikTok?
It depends on your content type and audience, but data consistently shows that 21–34 second videos achieve the highest average completion rates. Longer videos (1–3 minutes) can rank well if completion rates remain high, but they are harder to optimise. In 2025 TikTok began promoting longer videos more aggressively as part of its competition with YouTube, so 1-minute videos with strong retention are increasingly competitive. The key rule: make it exactly as long as the content demands — no padding, no artificial extension.
How often should I post on TikTok?
Quality beats frequency on TikTok, but consistency still matters. Posting 1–3 times per day is a common recommendation, though creator data suggests that 4–7 high-quality posts per week outperforms 14 low-quality posts per week. Do not sacrifice production quality for volume. Your posting cadence also signals to the algorithm that you are an active creator, which helps your account-level distribution. Find a sustainable rhythm and stick to it — erratic posting is more harmful than modest frequency.
Instagram Algorithm Questions
What killed organic reach on Instagram?
Organic reach on Instagram declined sharply from 2016 onward as the platform shifted from chronological to algorithmic feed ranking. The core driver was advertiser revenue: by limiting organic reach, Meta pushed brands toward paid promotion. The algorithm now prioritises content predicted to generate the most meaningful engagement, heavily influenced by existing relationship signals between accounts. The pivot to Reels in 2021–22 temporarily lifted organic reach for video content, but that advantage has narrowed as competition increased.
Does Reels get more reach than static posts on Instagram?
Generally yes — Reels have broader distribution potential because they are served in the dedicated Reels tab and Explore, not just to followers. Instagram's internal data (shared publicly in 2023) showed Reels receive on average 22% more reach than static posts for accounts of the same size. However, a high-quality carousel post can outperform a mediocre Reel. The format advantage matters less than the quality and early engagement rate of the specific piece of content.
How does the Instagram Explore page algorithm work?
Explore uses a two-stage ranking system. First, it retrieves candidate content based on accounts and topics a user has interacted with. Second, a scoring model ranks candidates using predicted probabilities of actions like saves, shares, time spent, and comments. Posts from accounts the viewer already follows are excluded from Explore — it is specifically designed to surface new creators. High save rates and share rates are the strongest signals for Explore distribution.
Are hashtags dead on Instagram?
Not dead, but diminished. Instagram's head of engineering stated in 2023 that hashtags are "not a primary distribution mechanism" and that content quality signals matter far more. That said, hashtags still assist in content categorisation for Explore discovery and hashtag search. Use 5–10 targeted, relevant hashtags rather than 30 generic ones. For Reels specifically, on-screen text and audio have become more important than hashtags for helping the algorithm understand your content's topic.
What is the Instagram shadowban and how do you recover from it?
A "shadowban" refers to a condition where your content's reach is severely limited without any official notification. Instagram has acknowledged this happens and calls it "limiting distribution" for accounts that violate community guidelines or exhibit spammy behaviour (mass following/unfollowing, repetitive comments, banned hashtag use). Recovery involves: stopping any policy-adjacent behaviour for 1–2 weeks, avoiding banned hashtags, posting high-quality original content consistently, and engaging authentically. Most creators report recovery within 2–4 weeks of clean behaviour.
YouTube Algorithm Questions
How are YouTube Shorts different from regular YouTube in the algorithm?
Shorts and long-form videos are ranked by entirely separate systems. The Shorts algorithm prioritises completion rate and re-watch rate — similar to TikTok — because absolute watch time is very short. Long-form YouTube optimises for absolute minutes watched and session initiation (whether your video starts a long viewing session). Shorts are distributed through the dedicated Shorts shelf and feed, and views from Shorts do not count toward a channel's watch-hour monetisation threshold. Shorts can, however, drive follower growth that benefits your long-form content.
Do YouTube Shorts help long-form channel growth?
Yes and no. Shorts do grow subscriber counts — YouTube confirmed in 2024 that Shorts drive the most new subscriber growth on the platform. However, those subscribers often have lower engagement with long-form content because they were acquired through a different content format. The most effective strategy is to use Shorts as a top-of-funnel to attract subscribers, then create a strong long-form video that specifically converts new followers by directly referencing the Short that brought them in.
What is click-through rate and why does it matter on YouTube?
Click-through rate (CTR) is the percentage of people who click your video when it is shown as an impression (thumbnail + title). YouTube's recommendation system uses CTR as a strong early signal of whether a title and thumbnail are compelling. A good CTR is 4–10% for most niches. However, YouTube uses CTR in combination with average view duration — a high CTR with poor watch time actually signals a misleading title, which can hurt distribution. The algorithm seeks to maximise CTR × watch time, not either metric alone.
How long should YouTube Shorts be for the best algorithm performance?
Analysis of top-performing Shorts consistently shows that 15–45 second videos achieve the highest completion rates. Shorts under 15 seconds can work for very punchy content but are hard to build narrative tension in. Shorts over 60 seconds (now up to 3 minutes) can rank well if they maintain strong retention throughout. Our recommendation: start with 20–35 second videos while you learn your audience's retention patterns, then experiment with length from that baseline.
What makes the algorithm recommend a YouTube Short to new audiences?
The primary signals for Shorts recommendations are: (1) completion rate — the percentage of viewers who watch to the end; (2) re-watch rate — how many viewers loop the Short; (3) engagement velocity — likes, comments and shares in the first 24 hours; (4) swipe-away rate — viewers swiping past your Short is a strong negative signal. Trending audio also significantly boosts discoverability because YouTube surfaces Shorts using popular sounds. Posting during peak hours for your target audience (typically 12–3pm and 7–10pm local time) gives your Short better initial distribution.
Strategy Questions
How long before I start seeing results from algorithm-informed content?
Most creators start seeing measurable improvement in engagement rates within 3–4 weeks of consistently applying algorithm-informed practices (strong hooks, optimised length, high completion-rate content). Meaningful growth in followers and reach typically takes 60–90 days of consistent effort. Accounts that conduct structured A/B testing see results faster because they stop guessing and start accumulating evidence. Be cautious of anyone promising faster results — sustainable algorithm performance is built over months, not days.
Should I cross-post the same content across all platforms?
Cross-posting raw saves time but rarely delivers optimal results. Each platform's algorithm has different format requirements, aspect ratio standards, and audience expectations. A TikTok video with a visible watermark is actively suppressed by Instagram and YouTube Shorts algorithms. More importantly, what performs on TikTok (fast-paced, trend-driven) often underperforms on LinkedIn (professional insight, document format) or YouTube (educational, longer narrative). Our recommendation: create a "pillar" piece for your best-fit platform and then adapt it for each other platform rather than duplicating it wholesale.
What is the optimal posting frequency across platforms?
Platform-specific recommendations: TikTok (4–7×/week), Instagram Reels (3–5×/week), Instagram Feed (3–4×/week), YouTube Shorts (5–7×/week), YouTube Long-form (1–2×/week), LinkedIn (3–5×/week), X/Twitter (5–10×/week), Facebook (3–5×/week). These are starting benchmarks — your optimal frequency depends on your niche, production capacity, and audience behaviour. Consistency matters more than raw frequency. Dropping from 7×/week to 1×/week is more damaging than posting 3×/week steadily from the start.
Does engagement rate matter more than raw reach or follower count?
For algorithm performance, absolutely yes. Algorithms distribute content based on engagement rate signals — a post with 1,000 likes from a 10,000-follower account will be distributed more broadly than 1,000 likes from a 1,000,000-follower account. For brand partnerships, engagement rate is also the primary metric brands use to assess ROI. For your own growth, focus on deepening engagement (comments, saves, shares) rather than chasing vanity metrics like raw follower count, which is increasingly decoupled from actual reach.
How do I recover from a period of low-performing content?
First, do not panic-post or dramatically change your content style — this often makes things worse. Audit your last 10–15 posts and identify what your top-performing 3 pieces have in common (topic, format, hook style, length). Return to that proven formula for your next 5–7 posts. Engage actively with your community — reply to every comment, ask questions in stories or posts — as engagement rate recovery helps your account signal. If you have been posting very frequently, reduce frequency and increase quality. Most accounts see recovery within 2–3 weeks of this structured approach.
Still Have Questions?
Our team reads every message. If your question isn't answered here, reach out and we'll get back to you within one business day.