I

I made an AI-powered Instagram caption generator for creators

Hacker News

I made an AI-powered Instagram caption generator for creators

Hi HN! I'm a solo developer who is trying to solve a personal pain point: spending more time on Instagram captions than creating content. CaptionCrafterAI analyzes your images and generates engaging, tailored captions in seconds. It features: - Multi-image support for carousel posts (up to 10 images) - Customizable parameters (tone, length, style, niche) - Saveable caption profiles for consistency - Token-based system for flexible usage I built this tool to help content creators, small businesses, and fellow procrastinators turn Instagram posts from time-consuming chores into engaging, on-brand content quickly. I'd love your feedback on the Project overall, UX, or any features you think would be valuable. Thanks for checking it out! https://www.captioncrafterai.com

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
74%74% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, para · Missing: mobile apps, ios, entrepreneurs
61%61% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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: lua, io · Missing: https docs, excited, just released
13%13% 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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