YouTube Shorts Algorithm Visibility
Coverage
We searched 2 places where competitors live — transparent about what we covered and what we missed.
Should you build this?
- You've grown a YouTube Shorts channel or have access to multi-account analytics data
- You can pattern-match algorithm-cliff triggers across many channels
- You're OK with anecdotal-data limitations (YouTube doesn't share algo internals)
- YouTube changes the algorithm regularly — your heuristics rot
- VidIQ + TubeBuddy compete with similar diagnostics
- Creator-economy tooling has low willingness-to-pay
- This weekend: Reply to r/NewTubers OPs (signal#1,3,4) with a free 1-page diagnosis of their channel. Track replies · cite signal#1,3,4
- Next 7 days: Post in r/PartneredYoutube post-virality thread (signal#2) with a 'don't lose your audience' guide. Measure DMs · cite signal#2
- 30+ paid users: If 30+ paid diagnostic users in 14 days, ship the $29/mo monitoring tier
Updated as new signals arrive
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Who this is for · Why now · Willingness to pay · Full timeline · Competitor landscape · Build with AI prompt · Validation playbook · Evidence pool · 8+ more sections
Sign up free →Who is this for
YouTubers seeing channels suddenly drop to 0-8 views per shorts (signal#1, r/NewTubers); creators dealing with post-virality cliff (signal#2, 5 upvotes); shorts stopping post-monetization (signal#4)
Bloomberg-style buyer profile · grounded in real signals
Multiple r/NewTubers posts describing algorithm cliff: 9/10 shorts get 0-8 views (signal#1) · views drop from 488/643/760 to 1/0/3 post-monetization (signal#3) · concentrated platform-policy frustration
"Did YouTube Shorts slow down subscriber conversion for anyone else recently?"
"0 views, youtube algorithm simply does not show my conent"
"Why did my shorts stop getting pushed?"
Why now
Validate first — YouTube Shorts monetization-policy changes triggering creator backlash but no single dated event in signals
Willingness to pay
1 paid user · across 3 platforms
Full timeline · past → now → next
- Now D1 10 active discussions · 1 paid evidence · 3 trigger(s)
Future trend · next 7 days
Trend forecast becomes available once enough discussion history accumulates. ⓘShown only when confidence >50%. New cards typically become predictable within 7-14 days after first sighting.
Build this with AI
We've assembled a full brief from the real evidence above. Ready to paste into any AI coding tool.
Preview what we send
I want to build a tool for: YouTubers seeing channels suddenly drop to 0-8 views per shorts (signal#1, r/NewTubers); creators dealing with post-virality cliff (signal#2, 5 upvotes); shorts stopping post-monetization (signal#4) The pain users describe: 0 views, youtube algorithm simply does not show my conent Timing / why now: Validate first — YouTube Shorts monetization-policy changes triggering creator backlash but no single dated event in signals Existing alternatives: none clearly identified yet — opportunity for a first-mover Help me draft an MVP technical plan: 1. Core user flow (happy path, 3-5 steps) 2. Data model (main tables and their key fields) 3. Tech stack recommendation (favor fast-to-ship options) 4. First 3 things to build this weekend 5. What NOT to build in v1 (scope discipline) Context source: gapmine.com/opportunities/2026-05-06/youtube-shorts-monetization-strategy
Prompt built by concatenating your real fields · 0 AI rewording · source link included for traceability
Build playbook · if validated ~2-3 weeks
Build only after VALIDATE THIS WEEK succeeds · Generated from this card's real signals · 0 template · per-card playbook
Evidence pool 14
Grouped by signal type · click each source to verify
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This problem also appears in 1
Other cards mapped to the same canonical need · youtube shorts · member N=2
Momentum
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