Bu

Built a tool to create brand-consistent images using AI

Hacker News

Built a tool to create brand-consistent images using AI

Hello folks, Over the past months I found it extremely hard to find photos for my blog that looked like MY brand. I was tired of using stock photos and also did not want to spend time on canva creating graphics. The AI images also looked very off-brand and I always had to copy paste my brand instructions to create graphics for my blog. It led me to create [InkTag.io]( http://inktag.io/ ) - it let's users add color palette, brand style, negative words, logo for watermark etc and get consistent looking photos that look like your brand. Initially I was thinking to release it as a react library but did know if devs will find this useful. Released it as a normal UI that people can use for their brand. If anyone is interested in tech deep dive -- let me know in the comments. I have had great fun building this. I hope you enjoy it as well. -Gautam

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
65%65% 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: month, users, way · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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.

Incorrect prediction on native model

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