airyhq

airy

Java2021–2022

airyhq / airy

airy

💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors

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2Distinct people

3Mentions

0Explicit recommenders

404GitHub stars

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month3 dated mentions

Observed mentions: 2021-06-09 10:21:01 UTC to 2022-11-29 16:41:43 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

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Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
Jun 2021	2021-06-01 00:00:00 UTC	2021-07-01 00:00:00 UTC	2	0	2
Jul 2021	2021-07-01 00:00:00 UTC	2021-08-01 00:00:00 UTC	0	0	0
Aug 2021	2021-08-01 00:00:00 UTC	2021-09-01 00:00:00 UTC	0	0	0
Sep 2021	2021-09-01 00:00:00 UTC	2021-10-01 00:00:00 UTC	0	0	0
Oct 2021	2021-10-01 00:00:00 UTC	2021-11-01 00:00:00 UTC	0	0	0
Nov 2021	2021-11-01 00:00:00 UTC	2021-12-01 00:00:00 UTC	0	0	0
Dec 2021	2021-12-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	0	0	0
Jan 2022	2022-01-01 00:00:00 UTC	2022-02-01 00:00:00 UTC	0	0	0
Feb 2022	2022-02-01 00:00:00 UTC	2022-03-01 00:00:00 UTC	0	0	0
Mar 2022	2022-03-01 00:00:00 UTC	2022-04-01 00:00:00 UTC	0	0	0
Apr 2022	2022-04-01 00:00:00 UTC	2022-05-01 00:00:00 UTC	0	0	0
May 2022	2022-05-01 00:00:00 UTC	2022-06-01 00:00:00 UTC	0	0	0
Jun 2022	2022-06-01 00:00:00 UTC	2022-07-01 00:00:00 UTC	0	0	0
Jul 2022	2022-07-01 00:00:00 UTC	2022-08-01 00:00:00 UTC	0	0	0
Aug 2022	2022-08-01 00:00:00 UTC	2022-09-01 00:00:00 UTC	0	0	0
Sep 2022	2022-09-01 00:00:00 UTC	2022-10-01 00:00:00 UTC	0	0	0
Oct 2022	2022-10-01 00:00:00 UTC	2022-11-01 00:00:00 UTC	0	0	0
Nov 2022	2022-11-01 00:00:00 UTC	2022-12-01 00:00:00 UTC	1	1	0

What Hacker News says

3 sources

skandergarroum·Nov 29, 2022Submission

Show HN: Airy – Open-Source Platform for Real-Time ML/AI and Data Streaming

Why Airy? - Easily deploy mature streaming infrastructure powered by Apache Kafka with our open-source streaming app framework. - Build real-time data pipelines and make real-time data universally accessible. - Join historical and real-time data in the stream to create smarter ML and AI applications. - For data and dev ops teams: Standardize complex data ingestion and stream data directly to standard and customized applications, using pre-built, easily configured connectors. - For engineering teams: Significantly simplify deployment and reduce development times and increase the robustness of your infrastructure and apps. ----------------- About Airy Mid last year we launched our open-source conversational platform enabling developers to ingest and process conversational and customer data in real-time: https://news.ycombinator.com/item?id=

Read the rest

27446200 Airy has now evolved with its use cases into an open-source streaming app framework to train context-aware ML models and supply them with both historical and real-time data. By ingesting all real-time events and continuously processing, aggregating and joining them in the stream, development time can be significantly reduced. Through integrations with pre-built and easily configured connectors, events are consumed from any source, including business systems such as ERP/CRM, conversational sources, third party APIs. Airy also comes with an SDK to build custom connectors to any source. ----------------- Our vision We believe continuously improved AI and ML will increasingly be at the core of enterprise decision-making and customer-facing technologies. Adopting Airy’s open-source streaming app framework provides enterprise teams with a highly scalable and standardized platform to install, run and monitor streaming components and connectors. This delivers better results through automation & personalization, while significantly reducing time to production for engineering teams. You can start trying it out by visiting our website: https://airy.co If you like what we are doing, please give us a star on Github: https://github.com/airyhq/airy And we are of course happy to answer your questions!

15 points · Open discussion

chrismatic·Jun 9, 2021

This is a great point! Email is and will remain _the_ messaging use case for any business. I've created a ticket for adding email as a messaging source so you can track the progress: https://github.com/airyhq/airy/issues/1953 And yes we do plan on adding more sources and are therefore listening to the community to learn which are most in-demand. So thank you very much for the feedback!

In Show HN: Open-source conversational platform and unified messaging APIs

skandergarroum·Jun 9, 2021

Hey HN! After four years of development, we are happy to share Airy with you. Airy is an Open Source Conversational Platform to store, structure and utilize conversational data in a secure and privacy-compliant way. With Airy, you can integrate with Conversational AI like Rasa to train smarter models based on actual conversations. You can host your own open source messaging API to enable your developers to build conversational experiences even for privacy-sensitive industries, such as banking, insurance or healthcare. Airy's core platform is fully open source and runs in your own cloud or even on premise. We built Airy on Apache Kafka for ultimate scalability, so you can ingest and stream all kinds of conversational data to: unify your messaging channels include human agents via an Inbox UI gain insights from Conversational Analytics Ai

Read the rest

ry has connectors for conversational sources such as: Facebook Messenger & Instagram Google's Business Messages WhatsApp Business API SMS (via Twilio) Airy Open Source Chat Plugin Custom sources Check out a short intro video of Airy here: https://youtu.be/zwDosYHitYg You can start trying it out by reading on our website: https://airy.co/ph If you like what we are doing, please give us a star on Github: https://github.com/airyhq/airy And we are of course happy to answer your questions!

In Show HN: Open-source conversational platform and unified messaging APIs