AI Blog Image Generator (Powered by DALL·E 3)

Hacker News

Many bloggers use stock images for their posts (as featured or in-post images). TBH, finding stock images for blog posts or newsletters is one of my least favorite tasks. Moreover, you can't be sure how many people have already used the same image. An alternative solution is to use AI to create unique images for our content. I know Midjourney is quite good at this. Still, I'm interested in experimenting with DALLE and GPTs. -- So, here’s the Blog Image Generator (with Alt Text) It turns your blog title, content, or any topic into a unique, minimalistic image using DALLE. To get started, just provide your title, content, or any topic. The GPTs will then create stunning visuals that capture the essence of your blog post. If you're not satisfied with the image, there are multiple ways to modify it: Press R - Recreate the image with a new idea Press S - Change the image style Press C - Change the primary color Press E - Change elements in the image Any feedback is welcomed

Visit product View on Hacker NewsMar 22, 2024

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

69%69% 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: new, visual, tasks · Missing: mac, agents, macos

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

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

52%52% 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.

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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Correct prediction on native model

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