Open-Source Library OpenAI/Azure Fallback Tool

Hacker News

We just launched an emergency OpenAI + Azure fallback and retry tool (literally OpenAI's APIs are down as I post this!): https://github.com/Spryngtime/openai-load-balancer This open source library helps you mitigate errors & downtime from @OpenAI's APIs by falling back to Azure (and vice versa). If you need expedited access to Azure, feel free to email me - I can get you connected to our Azure account executive! (Startups with funding ONLY please!) Hope this helps some people out there!

Visit product View on Hacker NewsNov 22, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, openai, apis · 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: open source · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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