Receipts — thread-receipts-W31-Fri — Temerarii Media Back Office

post thread-receipts-W31-Frikind threadweek W31date 2026-08-07campaign thread · Fripillar multimediabeat Friasset videoduration 25.0sground blackscenes 5

Checklist the per-video bar — engine/sim

69.8/100

plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness

quantitative quality · weights learn from your reviews (engine.sim.memory review thread-receipts-W31-Fri good|bad)

⚠ 8 flag(s) — not yet ship-ready: too_complexlow_vo_coveragedead_airgeneric_scene · see docs/strategy/VIDEO-CHECKLIST.md

Composition comp · template family · expected output

composition SceneReelfamily / template StatScoreboard

9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending

▶ open rendered mp4

expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 5 scenes · 25.0s · comp_id + rendered still + tier + the script

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent KpiGrid template	stat	0–5.0s	receipts-count	icon·wireframe	♪ node_lock	A hundred qualified leads, scraped and enriched, in about two minutes. on-screen: 100 leads. 2 minutes.
	expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→100 leads. 2 minutes.curate kpis, statsLabels
2	still pending first render · fix pending RankList templatedead_air	proof	5.0–10.0s	receipts-count	icon·wireframe	♪ node_lock	Manual list-building was a week of copy-paste. We point Apify at a search, then enrich each row. on-screen: Apify, then enrich
	expected on screen: black ground · a RankList panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Apify, then enrichcurate rows, statsLabels
3	still pending first render · fix pending LogStream templatedead_air	diff	10.0–15.0s	crossfade-8f	icon·wireframe	♪ node_lock	The pipeline filters as it fills, scoring each lead on fit so the weak ones drop before you ever see them. on-screen: Scrape. Score. Save.
	expected on screen: black ground · a LogStream panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape octaground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→Scrape. Score. Save.curate codeLines, rows
4	still pending first render · fix pending NodeGraphCard templatedead_airgeneric_scene	step	15.0–20.0s	kinetic-build	icon·wireframe	♪ node_lock	Receipts
	expected on screen: black ground · a NodeGraphCard panel over a dimmed Signal Field · Lumen leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NodeGraphCardvisual pipelineshape octaground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Receiptscurate hub, nodes, stages, steps
5	still pending first render · fix pending shared field signature-3ddead_airgeneric_scene	resolve	20.0–25.0s	coalescence	icon·ember-fill	♪ bed_out	Receipts
	expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground blacktreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Receipts

Format stack 3 aspects · same scenes[], re-cropped

9:16

1080×1920

Stories · TikTok · YouTube Shorts · Reels

1:1

1080×1080

LinkedIn · Facebook · Instagram

16:9

1920×1080

X/Twitter · YouTube · LinkedIn video

Channels 9 destinations

LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBluesky

Social captions supplemental published copy · per channel (comp_id level)

tiktokReceipts: a hundred qualified leads, scraped and enriched, in about two minutes. The old way was a week of copy-paste. We point Apify at a search, enrich each row, score it on fit, and the weak ones drop before you ever see them. (AI-assisted)

instagramReceipts 100 qualified leads. About 2 minutes. The move: Point Apify at a search. Enrich each row. Score on fit, weak ones drop. #leadgen #automation #apify #sales #prospecting

linkedinReceipts: a hundred qualified leads, scraped and enriched, in about two minutes. Manual list-building used to be a week of copy-paste. The pipeline points Apify at a search, enriches each row, and scores every lead on fit, so the weak ones drop before you ever see them. It filters as it fills. The point is not speed for its own sake. It is that the list arrives already qualified, ready to work.

xReceipts: 100 qualified leads, scraped and enriched, in ~2 min. Point Apify at a search, enrich each row, score on fit, weak ones drop before you see them. temerarii.xyz

facebookReceipts: a hundred qualified leads, scraped and enriched, in about two minutes. Manual list-building used to be a week of copy-paste. We point Apify at a search, enrich each row, and score every lead on fit, so the weak ones drop before you ever see them. Want a list that arrives ready to work?

threadsReceipts: a hundred qualified leads, scraped and enriched, in about two minutes. Manual list-building was a week of copy-paste. We point Apify at a search, enrich each row, and score on fit so the weak ones drop before you ever see them. It filters as it fills.

pinterestAutomated lead generation pipeline, explained. Scrape and enrich a hundred qualified leads in about two minutes instead of a week of manual copy-paste. Point a scraper like Apify at a search, enrich each row with extra data, then score every lead on fit so weak ones drop automatically. A repeatable prospecting workflow for sales teams.

blueskyReceipts: 100 qualified leads, scraped and enriched, in ~2 min. Point Apify at a search, enrich each row, score on fit, weak ones drop before you see them.

youtubeTitle: 100 Qualified Leads in 2 Minutes: The Scrape, Score, Save Pipeline Manual list-building used to take a week. We show the pipeline that scrapes and enriches a hundred qualified leads in about two minutes: point Apify at a search, enrich each row, and score every lead on fit so the weak ones drop before you see them. The full method so you can rebuild it.

Cross-links every lens is a view on this one record

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