Unofficial OpenAI Status Dashboard

Hacker News

Whenever I get abnormally slow results or high rates of errors from GPT-4, I used to go and check the official OpenAI status site. But mostly it would always show green when I was experiencing issues. So Eliot who I work with built this little utility - an unofficial OpenAI status dashboard. It's designed to answer the question of "is GPT slow for everyone right now or just for me" and "is GPT having elevated rates of errors for everyone right now or just for me" It's aimed at API users but may also be useful for ChatGPT errors/slowness, I'm not sure. Possible features we're thinking about: * Gauge style chart to be easier to read * Show the average and delta vs average in the chart * Track a specific prompt over time to track any model performance degradation * Add stats specifically for ChatGPT (any ideas on how to do so, given that it's behind Cloudflare?) * Add speed comparison of APIs via Azure vs OpenAI Let us know what's helpful about it and what you'd hope to see improved or added.

Visit product View on Hacker NewsJul 13, 2023

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

88%88% 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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

50%50% 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

34%34% 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

16%16% 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.

Incorrect prediction on native model

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