Integrate third party APIs with ease using GraphQL

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We built Poozle (an open source platform) to simplify API integrations. Instead of dealing with multiple providers with different syntax and requirements, our platform offers a standardised interface through GraphQL. Why we built this: 1. In our previous jobs, we did many integrations and found no standardisation to the process. 2. Existing Unified API solutions lack customizability and only work for integrating multiple integrations from one vertical. Our beta version includes: 1. Plug n Play Integrations: Choose an integration from our pre-built list and start using it. 2. Playground: Write a GraphQL query to retrieve a response from the API. The playground includes API documentation for easy discovery and testing. 3. Integrate with your codebase: Seamlessly talk to all the APIs from your codebase using a unique URL provided by Poozle. 4. Observability: Our monitoring dashboard tracks API usage, latency, and error rates for quick incident detection. We're still early, so we would love your feedback and opinion. Also, let us know if you need a specific API integrated. Main Website: https://www.poozle.dev Product Demo: https://www.loom.com/share/1d93d082e97f4ef0be5035644e9823dc

Visit product View on Hacker NewsApr 15, 2023

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

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released

63%63% 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

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

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

38%38% 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

17%17% 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.

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