Open-source platform to Standardise API Integrations using GraphQL

Hacker News

Founder here, Poozle integrates different APIs [Gmail, JIRA, Github, Salesforce, Pipedrive, Slack etc.] and provides a single GraphQL layer to integrate third party APIs and perform CRUD operations. In our previous jobs, we did many integrations, but we found that there is no standardization to the process. We had to write separate authentication code for each application, and for some applications, we had to integrate via APIs because the SDKs were stale. We also found that some integrations were completed quickly, while others took longer. Started working full time on this idea from Jan’23 but the real progress have happened in the last 7 weeks.I strongly believe open source is the only way to create standardisation for API integrations.

Visit product View on Hacker NewsApr 11, 2023

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

95%95% 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.

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

77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way, para · 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 · Missing: plus, intuitive, reviews

21%21% 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

18%18% 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

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

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