I built a tool website based on OpenAI o1 chat

Hacker News

With the heat of opneai o1, I launched my first AI dialogue chat tool station. In the initial development, I completely asked while writing code in front of chatgpt. After launching, I found some people to try, and the feedback was very bad, almost all were timeout and very slow. Later, I found chatbot-ui in github, and after a few days of optimization, I finally solved the timeout and stutch issues. Now the website supports free conversations with o1-mini, welcome to try it out: https://chatgpt-o1.com Let me know if you'd like to see more, and if you have any feedback or teasing, feel free to post below!

Visit product View on Hacker NewsSep 19, 2024

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Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, openai, code · Missing: mac, agents, macos

83%83% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

60%60% 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

43%43% 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 · Missing: mobile apps, ios, personal

35%35% 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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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