We're building a huge nano/micro TikTok influencer database

Hacker News

Hey HN, As we've been doing most of our acquisition on TikTok latetely, we quickly grew frustrated with platforms that charge a fortune for just a few influencers' emails and subpar CRMs (Modash, Promoty, Tokfluence, and countless others). So, we decided to build the biggest TikTok nano & micro influencers database. And we're making it 1000x cheaper than every single platform I've listed above. It’s raw data, perfect for indie hackers, solopreneurs, small startups, and growth hackers. It includes followers/likes, the last five videos' average views, overall average views, the video with the most views, nationality, hashtags from recent videos, and descriptions. Everything you need to find the perfect influencers to flood TikTok with your brand. You can export it, sort it, twist it, and do whatever you want with it. We're growing it to a million influencers and will be keeping it up to date. We hope you like it!

Visit product View on Hacker NewsNov 24, 2023

Share card

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

83%83% 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

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

Similar products

Nano Influencer Platform22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nano Influencer Platform

Hacker News1

Building a Database of False DMCA Takedowns64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a Database of False DMCA Takedowns

Hacker News67

Quod.us – Building an open database of misinformation69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quod.us – Building an open database of misinformation

Hacker News2

Inovical – Where Everyone's an Influencer46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inovical – Where Everyone's an Influencer

Hacker News2

WInd3x – iPod Nano 4G and Nano 5G bootrom exploit18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WInd3x – iPod Nano 4G and Nano 5G bootrom exploit

Hacker News3

Nano V23 Follis18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nano V23 Follis

Hacker News2

Invocial48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We believe everyone's an influencer

Indie Hackers2communication

Piku, a Micro-PaaS for ARM and x8665%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Piku, a Micro-PaaS for ARM and x86

Hacker News1

Iguana, a micro-ODM for AngularJS45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Iguana, a micro-ODM for AngularJS

Hacker News1

Taunus, a Micro Isomorphic MVC Lib37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Taunus, a Micro Isomorphic MVC Lib

Hacker News1

Browse all products Analyze your launch