I've just built the CoinMarketCap of TikTok and short-form content

Hacker News

I've been in growth for some time, and tracking has always been close to my heart. So when I jumped into TikTok marketing to grow my apps, I was shocked by the lack of tracking and analytics infrastructure for such content. That's why I built Track My Videos. I want to build the CoinMarketCap of TikTok and short-form content. But instead of tracking memecoins, you track your accounts and influencers to put your marketing on steroids. Painlessly: • Automatically track accounts across TikTok, Instagram, and YouTube. • Track any individual video for any influencer. • Get advanced stats and aggregated charts per account and across your videos. It helps you isolate the outliers, track the top-performing accounts, and get granular stats and data across the board. Without ever having to manually go through each one of your 2,468 accounts ever again. And it starts at $12 a month, with a 7-day free trial. Would love your feedback!

Visit product View on Hacker NewsJun 25, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps, video, month · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

32%32% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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