New ideaCreator tools

rea-video-powered ad teardown

A hosted web app on top of the open-source rea-video engine: paste a winning TikTok/Reels ad (or upload the file) and get a shot-by-shot report of what was filmed, AI-generated or coded, how each shot was lit and edited, a reverse-engineered prompt per AI shot, and a remake plan with your own product.

1 week ago · Scored 5 Nov 2026 · ID HBV-261105-01

Working title: rea-video-powered ad teardown for TikTok Shop and Reels sellers — paste an ad link, get shot-by-shot how it was made and a remake plan (Portuguese/Spanish/English) — working name "Desmonta"

Summary

BriefingVerifiedSelf-reportedHypothesisEstimate

Benchmark: JuneYaooo/rea-video: 1,603 stars in 7 days (+806 on 4 Nov, peak), Apache-2.0, 232 forks, runs in Claude Code/Codex, optional Gemini/Doubao video model; README accuracy table 99.6% with a vision model (Self-reported) (stars Verified, github.com and OSS Insight). Existence check: Paid ad-creative tools exist (…

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Foreplay, Motion, Atria, Kalodata/FastMoss ad libraries) but none found that tells shot by shot whether footage was filmed or AI-generated and writes a remake plan; open-source Hypit (hypit-ai/hypit) remakes videos but does not explain how the original was made (README; quick search, Hypothesis). POS 63 is on the line but not strictly above 70: crowded ad-creative-analysis category (Foreplay, Motion, Atria, Kalodata/FastMoss) and the X wave is only 2 days old; the need for the user's own coding agent is only a risk, not a cut. Stars: Total 1,603 (github.com HTML 5 Nov ~07:06 BRT; API 1,603). Created 29 Oct 2026 (7 days), Apache-2.0, 232 forks. 24h (4 Nov) +806; 7d (29 Oct–4 Nov) +941 ≈134/day; prior 7d 0 (repo did not exist) so 7v7 n/a; 3v3 (2–4 Nov 941 vs 30 Oct–1 Nov 0) n/a, day over day +24 → +111 → +806 (accelerating); peak 4 Nov (+806), 0 days since peak; since creation ≈229/day; today partial +650 (to ~07:04 BRT). Nothing estimated. X: 453 posts/7d (Rising +3712% 3v3 (2–4 Nov 305 vs 30 Oct–1 Nov 8; daily full UTC days 5, 2, 1, 2, 25, 278); peak 4 Nov 278; 4 Nov is 0% below peak). Revenue hypothesis: ~$1K–$5K/month at month 6 (HYPOTHESIS).

DescriptionHypothesis

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Who: TikTok Shop, Shopee and Mercado Livre sellers, UGC creators and small performance agencies in LatAm and globally who copy winning ad formats every week. Pain: Copying a winning ad today means watching it frame by frame and guessing whether it was filmed or AI-generated; rea-video does this but needs Python, ffmpeg and a coding agent (Claude Code/Codex) on your own machine. Monetization: Freemium: 3 free teardowns, then monthly plans with a teardown quota; agency plan with team folders (Hypothesis; no approved price). GTM: SEO/GEO pages per viral ad format ('how this TikTok ad was made'), public teardown gallery as a PLG loop (every report has a share link), faceless short clips of teardowns, LatAm seller communities.

Target customer

TikTok Shop, Shopee and Mercado Livre sellers, UGC creators and small performance agencies in LatAm and globally who copy winning ad formats every week.

Pain

Copying a winning ad today means watching it frame by frame and guessing whether it was filmed or AI-generated; rea-video does this but needs Python, ffmpeg and a coding agent (Claude Code/Codex) on your own machine.

Why this score

Why it scored lower: Crowded paid ad-creative category and free general video models (Gemini, ChatGPT) cover part of the job; the X wave is only 2 days old and could fade.

MoatHypothesis

Weak to moderate: Public teardown gallery compounds SEO. Portuguese/Spanish first for LatAm sellers. Status: Hypothesis.

Demand signals

X posts (7 days)

453

Signal trend

Rising +3712% 3v3 (2–4 Nov 305 vs 30 Oct–1 Nov 8; daily full UTC days 5, 2, 1, 2, 25, 278); peak 4 Nov 278; 4 Nov is 0% below peak

Web demandSelf-reported

README with six English example reports (TikTok ad, AI short drama, Remotion motion graphics); accuracy table 99.6–99.8% with a Gemini vision check (Self-reported by maintainer).

Market and competitors

TAM

Not sized this run — Scope: Global. Method: no third-party report fetched this run (token saving). (Basis: n/a)

SAMHypothesis

Not sized — Scope: Target markets below. Method: HBV assumption. (Basis: Hypothesis)

SOMHypothesis

~$12K–$60K ARR (Hypothesis) — Scope: Month-6 run-rate. Method: Revenue hypothesis ×12. (Basis: Hypothesis)

Competitors

Foreplay, Motion (creative analytics), Atria, Kalodata/FastMoss (TikTok Shop ad libraries), Meta Ad Library (free), Gemini/ChatGPT video upload (free/partial), Hypit (open source remake).

Business model

MonetizationHypothesis

Freemium: 3 free teardowns, then monthly plans with a teardown quota; agency plan with team folders (Hypothesis; no approved price).

Revenue hypothesis (monthly)Hypothesis

~$1K–$5K/month at month 6 (HYPOTHESIS).

Jobs to be done

When I see a competitor's ad going viral, I want to know shot by shot how it was made and what to film or generate, so I can remake it with my product the same day.

HXC

Camila, 31, TikTok Shop Brazil seller in São Paulo (illustrative) · Sells beauty products, posts 5 ads a week, copies formats that go viral. Buying signal: Pays for an ad library and AI video credits.

Build and go-to-market

Tech stack

Unknown

GTM channels

SEO/GEO pages per viral ad format ('how this TikTok ad was made'), public teardown gallery as a PLG loop (every report has a share link), faceless short clips of teardowns, LatAm seller communities

Risks

Main risk

Crowded paid ad-creative category and free general video models (Gemini, ChatGPT) cover part of the job; the X wave is only 2 days old and could fade.

All risks

Value: Attention — Willingness to pay vs free ad libraries | Usability: Attention — Platform terms for fetching videos | Feasibility: Supported — Apache CLI already works | Business Viability: High — Wave 2 days old; crowded category

Next validation step

Run 5 real TikTok Shop Brazil ads through rea-video + Gemini and measure cost and time per teardown; ask HBV's TikTok Shopping business whether it would use it; re-check stars and X on 6 Nov.

Sources

github.com
github.com
OSS Insight analyze-recent-stars
X API counts (window above)

newgithub-wrapperborderlinegithubcreator-toolsecommercetiktok-shoplatamglobal

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ProductBots.ai

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# Briefing: rea-video-powered ad teardown for TikTok Shop and Reels sellers — paste an ad link, get shot-by-shot how it was made and a remake plan (Portuguese/Spanish/English) — working name "Desmonta"

Source: Startup Ideas HQ (HB Ventures), found 2026-11-05. ProductBots Opportunity Score: 63/100, evidence confidence 53%.
Evidence labels (Verified, Self-reported, Hypothesis) are kept as written by the researcher.

## Goal for ProductBots.ai
Turn this idea into a validated MVP plan and a first build. Start from the next validation step; do not assume unlabelled numbers are verified.

## What it is
A hosted web app on top of the open-source rea-video engine: paste a winning TikTok/Reels ad (or upload the file) and get a shot-by-shot report of what was filmed, AI-generated or coded, how each shot was lit and edited, a reverse-engineered prompt per AI shot, and a remake plan with your own product.

Benchmark: JuneYaooo/rea-video: 1,603 stars in 7 days (+806 on 4 Nov, peak), Apache-2.0, 232 forks, runs in Claude Code/Codex, optional Gemini/Doubao video model; README accuracy table 99.6% with a vision model (Self-reported) (stars Verified, github.com and OSS Insight). Existence check: Paid ad-creative tools exist (Foreplay, Motion, Atria, Kalodata/FastMoss ad libraries) but none found that tells shot by shot whether footage was filmed or AI-generated and writes a remake plan; open-source Hypit (hypit-ai/hypit) remakes videos but does not explain how the original was made (README; quick search, Hypothesis). POS 63 is on the line but not strictly above 70: crowded ad-creative-analysis category (Foreplay, Motion, Atria, Kalodata/FastMoss) and the X wave is only 2 days old; the need for the user's own coding agent is only a risk, not a cut. Stars: Total 1,603 (github.com HTML 5 Nov ~07:06 BRT; API 1,603). Created 29 Oct 2026 (7 days), Apache-2.0, 232 forks. 24h (4 Nov) +806; 7d (29 Oct–4 Nov) +941 ≈134/day; prior 7d 0 (repo did not exist) so 7v7 n/a; 3v3 (2–4 Nov 941 vs 30 Oct–1 Nov 0) n/a, day over day +24 → +111 → +806 (accelerating); peak 4 Nov (+806), 0 days since peak; since creation ≈229/day; today partial +650 (to ~07:04 BRT). Nothing estimated. X: 453 posts/7d (Rising +3712% 3v3 (2–4 Nov 305 vs 30 Oct–1 Nov 8; daily full UTC days 5, 2, 1, 2, 25, 278); peak 4 Nov 278; 4 Nov is 0% below peak). Revenue hypothesis: ~$1K–$5K/month at month 6 (HYPOTHESIS).

## Customer and pain
Target customer: TikTok Shop, Shopee and Mercado Livre sellers, UGC creators and small performance agencies in LatAm and globally who copy winning ad formats every week.
Pain: Copying a winning ad today means watching it frame by frame and guessing whether it was filmed or AI-generated; rea-video does this but needs Python, ffmpeg and a coding agent (Claude Code/Codex) on your own machine.

## Market and competitors
TAM: Not sized this run — Scope: Global. Method: no third-party report fetched this run (token saving). (Basis: n/a)
SAM: Not sized — Scope: Target markets below. Method: HBV assumption. (Basis: Hypothesis)
SOM: ~$12K–$60K ARR (Hypothesis) — Scope: Month-6 run-rate. Method: Revenue hypothesis ×12. (Basis: Hypothesis)
Competitors: Foreplay, Motion (creative analytics), Atria, Kalodata/FastMoss (TikTok Shop ad libraries), Meta Ad Library (free), Gemini/ChatGPT video upload (free/partial), Hypit (open source remake).
Geography: Global (English) plus LatAm versions in Portuguese and Spanish (TikTok Shop Brazil/Mexico, Mercado Livre sellers)

## Business model
Monetization: Freemium: 3 free teardowns, then monthly plans with a teardown quota; agency plan with team folders (Hypothesis; no approved price).
Revenue hypothesis (monthly): ~$1K–$5K/month at month 6 (HYPOTHESIS).

## Build and go-to-market
Build effort (agent-weeks): ~2–3 agent-weeks (upload/link intakeworker running rea-video CLI with ffmpeg, Gemini video calls, report page, Stripe)
Time to first revenue: ~3–5 weeks
Tech stack: unknown
GTM channels: SEO/GEO pages per viral ad format ('how this TikTok ad was made'), public teardown gallery as a PLG loop (every report has a share link), faceless short clips of teardowns, LatAm seller communities

## Risks and next step
Main risk: Crowded paid ad-creative category and free general video models (Gemini, ChatGPT) cover part of the job; the X wave is only 2 days old and could fade.
Next validation action: Run 5 real TikTok Shop Brazil ads through rea-video + Gemini and measure cost and time per teardown; ask HBV's TikTok Shopping business whether it would use it; re-check stars and X on 6 Nov.

## Sources
https://github.com/JuneYaooo/rea-video; https://github.com/hypit-ai/hypit; OSS Insight analyze-recent-stars; X API counts (window above)

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Research, not investment advice. Numbers keep the label they were published with.

Summary

Briefing✓Verified◐Self-reported○Hypothesis≈Estimate

Description○Hypothesis