Vyne – Automated integration for in-house platforms

Hacker News

We build Vyne, a data gateway designed to eliminate integration code between in-house dev teams. Vyne gives you a single API that automatically integrates and fetches data from APIs, Databases, Kafka Topics, Lambdas etc - with no integration code required. It’s powered by Taxi[1], our open source data language for humans. Developers can embed semantic tags inside their existing schemas which Vyne then uses to automate the integration. We’ve created a getting started tutorial[0] to help devs get a feel of what Vyne is capable of. The tutorial automatically integrates a REST API, a database and a Kafka topic, to deliver combined data feed. We've been working on this for a while, and are really looking forward to hearing the thoughts of the HN community. [0]: https://docs.vyne.co/tutorials/api-db-integration/rest-db-in... [1]: https://taxilang.org

Visit product View on Hacker NewsMay 20, 2022

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

92%92% 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: exist, open source, existing · Missing: https docs, excited, just released

82%82% 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: created, started · Missing: supports, reddit linkedin, podcasting

54%54% 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 · Missing: mobile apps, ios, personal

47%47% 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

23%23% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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