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One API for GPT-5, Claude-Sonnet-4, DeepSeek, Gemini

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One API for GPT-5, Claude-Sonnet-4, DeepSeek, Gemini

We built an API aggregator for LLM APIs. It supports GPT-5, Claude-4, DeepSeek V3, Gemini, and others — all accessible via a single API interface. Why we built this Managing multiple LLM providers (pricing, auth) was painful. We wanted one unified endpoint, consistent responses, and cost savings. What it does - Unified API for multiple frontier models - Automatic failover & quota balancing - Transparent pricing (~20% lower than official rates) - Free trial available Links - Website: https://wisdom-gate.juheapi.com/studio/chat - Docs: https://wisdom-gate.juheapi.com/docs We’d love feedback on: - What features are missing for devs? - How should we improve the API/docs? Thanks

Visit productView on Hacker NewsSep 22, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, models · Missing: mac, agents, macos
93%93% 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, gemini · Missing: reddit linkedin, podcasting, created
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
36%36% 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
30%30% 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
23%23% 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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