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Trend-Analytic
AI YouTube Intelligence, Knowledge Engine & Video Studio
Trend-Analytic is a multimodal AI intelligence platform for YouTube. We analyze video transcripts, comments, and narrative pacing to uncover Brand Safety, manipulation index, and psychological drivers. Features include head-to-head creator battles, B2B media packs with predictive CPM/CPE, an automated knowledge factory converting transcripts into illustrated books, and a programmatic video studio producing multi-speaker vertical videos with studio-grade audio.
I’m Andrey, the solo founder and system architect of Trend-Analytic. I have spent many months engineering, refining, and stress-testing this platform, and it is now operating smoothly in live production.
I built Trend-Analytic to solve two massive problems in creator tech: traditional YouTube tools rely strictly on surface vanity metrics (subscriber counts, view counters) that conceal manipulation, brand safety risks, and factual fraud. Simultaneously, creators and online educators struggle to convert hours of unstructured videos and literature into structured, high-value assets without falling into low-quality "AI slop".
I engineered Trend-Analytic as an end-to-end multimodal intelligence platform built around three comprehensive pillars:
1. Deep YouTube Intelligence & B2B Media Packs:
The platform analyzes raw spoken transcripts and community comments to calculate manipulation index, truthfulness score, brand safety, and audience psychological drivers.
Real-time head-to-head Creator Battles with deep cross-niche intersection mapping and qualitative AI verdicts.
Automated 4-page executive B2B Category Media Packs across 90+ industries featuring predictive CPM, estimated CPE, ad load metrics, and top-10 verified creator leaderboards.
Tri-source RAG engine pairing real YouTube video transcripts with academic literature (via Google Scholar) and technical documentation through a high-performance Qdrant vector database.
5 versatile content tiers: from quick analytical insights and in-depth longreads to modular executive summaries (3–4 chapters), standard curriculum courses (5–7 chapters), and deep comprehensive master-books (10–15 chapters).
Features distinct "Theory vs. Practice" reality-check comparison blocks, automated glossary compilation, and persona-driven tone-of-voice controls without generic machine clichés.
3. Programmatic PHP + Python AI Video Studio:
End-to-end vertical video production supporting single monologues, podcast-style dialogues, and multi-speaker debate formats.
Programmatic Puppeteer scene composition across dynamic layouts (Split-Screen, Stream UI, Infographic UI with live chart fetching) and 10 aesthetic visual themes (Cyber Tech, Corporate Gold, Dark Luxury, Neon Dark, etc.).
Cinematic atmosphere and camera dynamics (volumetric bokeh, retro film grain, camera zooms and pans) paired with curated background audio tracks.
Advanced linguistic and phonetic adaptation engine: automated Unicode stress-accent correction, conjunction de-comma-ing to eliminate speech stutter, tech acronym transliteration, and broadcast-standard -16 LUFS loudness normalization.
Launch Offer & Community Access:
Public creator audits, interactive battles, category media packs, and sample knowledge materials are completely open for free exploration without mandatory registration.
For the Product Hunt community, use promo code PHTRENDSBEST on Whop to get 50% off the first month on all plans.
I will be online all day to answer technical questions about the vector retrieval pipeline, phonetic audio engine, and analytics architecture.
Drop your favorite YouTube channel in the comments, and I’ll run an instant deep teardown for you right in the thread! 🚀
About Trend-Analytic on Product Hunt
“AI YouTube Intelligence, Knowledge Engine & Video Studio”
Trend-Analytic was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #44 on the daily leaderboard. Trend-Analytic is a multimodal AI intelligence platform for YouTube. We analyze video transcripts, comments, and narrative pacing to uncover Brand Safety, manipulation index, and psychological drivers. Features include head-to-head creator battles, B2B media packs with predictive CPM/CPE, an automated knowledge factory converting transcripts into illustrated books, and a programmatic video studio producing multi-speaker vertical videos with studio-grade audio.
On the analytics side, Trend-Analytic competes within Marketing, Artificial Intelligence and YouTube — topics that collectively have 963.1k followers on Product Hunt. The dashboard above tracks how Trend-Analytic performed against the three products that launched closest to it on the same day.
Who hunted Trend-Analytic?
Trend-Analytic was hunted by Andrey Starchenko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Trend-Analytic including community comment highlights and product details, visit the product overview.
Andrey Starchenko
Hey Product Hunt community! 👋
I’m Andrey, the solo founder and system architect of Trend-Analytic. I have spent many months engineering, refining, and stress-testing this platform, and it is now operating smoothly in live production.
I built Trend-Analytic to solve two massive problems in creator tech: traditional YouTube tools rely strictly on surface vanity metrics (subscriber counts, view counters) that conceal manipulation, brand safety risks, and factual fraud. Simultaneously, creators and online educators struggle to convert hours of unstructured videos and literature into structured, high-value assets without falling into low-quality "AI slop".
I engineered Trend-Analytic as an end-to-end multimodal intelligence platform built around three comprehensive pillars:
1. Deep YouTube Intelligence & B2B Media Packs:
The platform analyzes raw spoken transcripts and community comments to calculate manipulation index, truthfulness score, brand safety, and audience psychological drivers.
Real-time head-to-head Creator Battles with deep cross-niche intersection mapping and qualitative AI verdicts.
Automated 4-page executive B2B Category Media Packs across 90+ industries featuring predictive CPM, estimated CPE, ad load metrics, and top-10 verified creator leaderboards.
2. Modular Knowledge Factory & Anti-AI-Slop Publishing:
Tri-source RAG engine pairing real YouTube video transcripts with academic literature (via Google Scholar) and technical documentation through a high-performance Qdrant vector database.
5 versatile content tiers: from quick analytical insights and in-depth longreads to modular executive summaries (3–4 chapters), standard curriculum courses (5–7 chapters), and deep comprehensive master-books (10–15 chapters).
Features distinct "Theory vs. Practice" reality-check comparison blocks, automated glossary compilation, and persona-driven tone-of-voice controls without generic machine clichés.
3. Programmatic PHP + Python AI Video Studio:
End-to-end vertical video production supporting single monologues, podcast-style dialogues, and multi-speaker debate formats.
Programmatic Puppeteer scene composition across dynamic layouts (Split-Screen, Stream UI, Infographic UI with live chart fetching) and 10 aesthetic visual themes (Cyber Tech, Corporate Gold, Dark Luxury, Neon Dark, etc.).
Cinematic atmosphere and camera dynamics (volumetric bokeh, retro film grain, camera zooms and pans) paired with curated background audio tracks.
Advanced linguistic and phonetic adaptation engine: automated Unicode stress-accent correction, conjunction de-comma-ing to eliminate speech stutter, tech acronym transliteration, and broadcast-standard -16 LUFS loudness normalization.
Launch Offer & Community Access:
Public creator audits, interactive battles, category media packs, and sample knowledge materials are completely open for free exploration without mandatory registration.
For the Product Hunt community, use promo code PHTRENDSBEST on Whop to get 50% off the first month on all plans.
I will be online all day to answer technical questions about the vector retrieval pipeline, phonetic audio engine, and analytics architecture.
Drop your favorite YouTube channel in the comments, and I’ll run an instant deep teardown for you right in the thread! 🚀