Okaaaay – Simple, Affordable and Intuitive AI Copywriter

Hacker News

Hey Hackernews - Quick story; I've been using AI tools since 2019, even when it wasn't poppin' like it is now. Back then, and now still, AI tools can be confusing or complicated to use, not to mention EXPENSIVE. Products like Jasper.ai start their pricing at $49/month for a limited number of words!! - That's really high compared to what it actually costs to generate your content. And now, you might say "they got employees, and server costs and and-" then I'd say "but 130+ employees for a service that could theoretically run itself?", it's automated AI; they are not writing your responses. (Their hires are for marketing, and ideas, and sales, and whatever fancy things they can hire for - and surprise! the costs fall on you.) Idk - to me, all this seems a bit excessive: confusing tools + expensive pricing = :( Why not make a fresh respin on all of this? Well, I think I did. It's called Okaaaay. I've made the interface sleek and EASY TO USE, I have added tons of tools (you can even make your own), and best of all, the pricing is simple and cheap; $19/month for UNLIMITED words and generations. That's it - Try the service if you'd like and see for yourself. Thanks all, Malte Prüser

Visit product View on Hacker NewsFeb 13, 2023

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

83%83% 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, using · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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

41%41% 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

22%22% 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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