A bespoke macOS UI for ChatGPT

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Hey! Alexis and Tobi here. We built a native macOS client for ChatGPT API that is free to use (macOS Ventura). https://www.jamgpt.app/ We built and fine-tuned it to scratch our own specific text-processing itches, so we just wanted to share this with the community. If you work with a lot of text or code like we do, check it out. Its core features include: - Instantly talk to ChatGPT from anywhere on your Mac by pressing a keyboard shortcut. - Avoid typing out repetitive prompts by saving prompts and accessing them quickly. - Just download and start typing as you would with ChatGPT. No need to learn anything new. - Comes with both dark and light mode options Batteries included: For the first 100 prompts, you can use our API key to try it out right away. After that, you can add your own OpenAI API key. The app is completely free to use and will remain so. We may add additional pro features in the future, but we have no commercial intentions at the moment. Whatever you see now will remain free. This is our first version, so things aren't perfect yet, and some features might be missing. Give it a spin and let’s talk! We’d love to hear your feedback. Cheers! Tobi & Alexis

Visit product View on Hacker NewsApr 26, 2023

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

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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: io · Missing: https docs, excited, just released

42%42% 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: way · Missing: mobile apps, ios, personal

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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