Genome - AI based Instagram post generation tool

Hacker News

Hey, HN community, We are excited to launch Genome today! Genome is a brand intelligence tool for e-commerce. With just a few clicks, we’re able to create you a new instagram post for your specific brand and product. We've worked with brand experts across the industry to understand what makes a brand appealing and unique. With Genome, you can generate and post customised Instagram publications (image and caption) in your brand's tone of voice, in one tool. Try it for free today. No more hours wasted thinking about a witty caption. No more dollars spent on a social media manager that does not understand your brand's values. Genome can publish a post for you on Instagram in just a few clicks. We use Large Language Models (GPT3), image-to-text models (OFA), and Generative AI (fined tuned Stable Diffusion to maintain product fidelity) to achieve this. Would love your feedback to make the tool better for you along the way. Website: https://genome.build ProductHunt page: https://www.producthunt.com/posts/genome-2

Visit product View on Hacker NewsJan 25, 2023

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

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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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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