Qo

Qorle – Your Personal GPT Store

Hacker News

Qorle – Your Personal GPT Store

Hi everyone, I've been amazed by the number of GPTs being created, and it intrigues me to contribute to the community. With Qorle, you can set up your personal GPT Store, allowing you to easily share them in one place. The usage is straightforward; users only need to provide the GPT link, and the platform will automatically fetch the image, name, and description, eliminating the need for manual entry. Currently, it seems the platform is unable to fetch the data. There might be something happening on OpenAI's end that's preventing the request, I suppose. Nevertheless, you can manually input the information. I'll work on making it function properly and improving it over time. Please let me know your thoughts, feedback, and any questions you might have. Thank you.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
78%78% 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: user, openai, open · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
47%47% 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
35%35% 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
12%12% 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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