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One published post, granular — the Social for W39 Tue, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW39-Tue-social-3kindSocialweekW39dayTuedate2026-09-29campaignlongform-youtubecadence5/day floor × 9 channels

Copy the published post text

Event Coordination
copy ready · render pending

Output-policy spec format · dimensions (asset_specs.output_policy)

formatnative cut · 9:16 · 1:1 · 16:9 dims1080×1920 · 1080×1080 · 1920×1080 cadence5/day floor × 9 channels

Channels 9 destinations

TikTokInstagramLinkedInX/TwitterFacebookThreadsPinterestBlueskyYouTube

This post a distinct social asset — its own angle, storyboard, and cuts

social-W39-Tue-3
5-distinct-social/day · 9:16 master → 1:1 / 16:9 cuts per channel

Channel-cuts this asset → 9 native captions (one master · per-platform aspect+copy)

ChannelNative caption
TiktokMost features ship to crickets. Here is how AI tells you what to actually build, instead of the loudest customer. (AI-assisted)
InstagramThe job is what to cut. AI clusters the real pain. Rank by people times pain. Build the boring obvious thing. #productmanagement #product #ai #startup #temerarii
LinkedinA product manager's real job is deciding what not to build. Feed AI every support ticket and review and let it cluster the real pain into themes, so one loud customer no longer sets the roadmap. Rank each theme by how many people times how much it hurts. The winner is usually a boring fix the data screamed about for months. Listen at scale, then choose.
XMost features ship to crickets. Cluster all your feedback with AI, rank themes by people times pain, build the boring obvious fix. tmstudio.link/product
FacebookMost product features ship to crickets because nobody really wanted them. Here is the move: feed AI every ticket and review, let it cluster the real pain into themes, then rank each by how many people times how much it hurts. The winner is usually a boring fix the data flagged for months. Comment PRODUCT for the method.
ThreadsMost features ship to crickets. The PM job is deciding what NOT to build. Cluster all your feedback with AI into themes, rank by people times pain, and build the boring obvious fix. Listen at scale, then choose.
PinterestAI product management method: stop building features nobody wanted. Cluster support tickets and reviews with AI, rank themes by people times pain, and ship the highest-impact fix. Product roadmap, user feedback analysis, prioritization framework.
BlueskyMost features ship to crickets. Cluster all your feedback with AI, rank themes by people times pain, build the boring obvious fix. tmstudio.link/product
YoutubeMost Features Ship To Crickets, Here Is The Fix A product manager's real job is deciding what not to build. In this short we show how to feed AI every support ticket and review, let it cluster the real pain into themes so one loud customer no longer sets the roadmap, then rank each theme by how many people times how much it hurts. The winner is usually a boring fix the data flagged for months. AI-assisted production. Chapters: features for no one, cluster the pain, themes over loud voices, rank by people times pain. #productmanagement #product #startups

Composition layer × scene 9 scenes · this post's OWN storyboard (distinct per asset)

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
open0–5.0sspatial-parallaxicon·ember-fill♪ bed_in
Most product features ship to crickets because nobody really wanted them.
on-screen: Most features ship for no one
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · node-graph · spatial-parallax · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape tetraground whitetreatment ember-fillmotion spatial-parallaxpower summoninstrument summon→Most features ship for no one
2s2
matches intent
shared field
signature-3d
hook5.0–10.0skinetic-buildicon·wireframe♪ node_lock
A product manager's real job is deciding what not to build.
on-screen: The job is what to cut
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape tetraground whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→The job is what to cut
3s3
matches intent
NumberedList
template
teach10.0–15.0skinetic-buildicon·wireframe♪ node_lock
The old way was reading hundreds of support tickets by hand, half-asleep.
on-screen: Old way: read 300 tickets by hand
expected on screen: white ground · a NumberedList panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape tetraground whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Old way: read 300 tickets by handcurate items, nodes
4s4
matches intent
ComparisonTable
template
proof15.0–20.9sreceipts-counticon·wireframe♪ node_lock
Now we feed AI every ticket and review and let it cluster the real pain.
on-screen: Now: AI clusters the pain
expected on screen: white ground · a ComparisonTable panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ComparisonTablevisual receiptsshape tetraground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Now: AI clusters the paincurate colA, colB, rows, statsLabels
5s5
matches intent
JsonDiff
template
diff20.9–26.099999999999998scrossfade-8ficon·wireframe♪ node_lock
It surfaces themes, so one loud customer no longer sets your whole roadmap.
on-screen: Themes, not loud single voices
expected on screen: white ground · a JsonDiff panel over a dimmed Signal Field · Nexus leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id JsonDiffvisual codeshape tetraground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Themes, not loud single voicescurate codeLines, fileName, lines
6s6
matches intent
ChecklistCard
template
teach26.1–31.6skinetic-buildicon·wireframe♪ node_lock
Then you rank each theme by how many people times how much it hurts.
on-screen: Rank by people times pain
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id ChecklistCardvisual node-graphshape tetraground whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Rank by people times paincurate items, nodes
7s7
matches intent
KpiGrid
template
proof31.6–36.800000000000004sreceipts-counticon·wireframe♪ node_lock
Usually the winner is a boring fix the data screamed about for months.
on-screen: Build the boring obvious thing
expected on screen: white ground · a KpiGrid panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id KpiGridvisual receiptsshape tetraground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Build the boring obvious thingcurate kpis, statsLabels
8s8
matches intent
NodeGraphCard
template
step36.8–42.3skinetic-buildicon·wireframe♪ node_lock
So pile your feedback into AI, cluster it, and rank by people times pain.
on-screen: Step: cluster feedback, rank by pain
expected on screen: white ground · a NodeGraphCard panel over a dimmed Signal Field · Nexus leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left
spec (the prompt): comp_id NodeGraphCardvisual pipelineshape tetraground whitetreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Step: cluster feedback, rank by paincurate hub, nodes, stages, steps
9s9
matches intent
shared field
signature-3d
resolve42.3–47.5scoalescenceicon·ember-fill♪ bed_out
Good product work is listening at scale, then having the nerve to choose.
on-screen: Listen at scale, then choose
expected on screen: white ground · tetra hero in the shared Signal Field · Nexus leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape tetraground whitetreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Listen at scale, then choose

Cross-links this post in the day's output set