@Saccc_c: Do you all want to know why I have so much AI content to post every day? Does inspiration really never run dry? To be h…
Summary
The tweet promotes Alsa, a product that raised $6.5 million in seed funding from Alibaba and Tribe Capital, and shows how to use it with Codex to build a media monitoring system for AI news and inspiration.
View Cached Full Text
Cached at: 09/09/26, 03:45 AM
Do you all want to know why I have so much AI content to post every day? Does inspiration really never run dry?
To be honest, sometimes I face this issue too, but a recent product has completely solved this pain point for me.
This product is Alsa, which in July secured a $6.5 million seed round led by Alibaba and Tribe Capital.
In the video below, I’ll show how to use Codex + Alsa to build your own media monitoring system—not only to easily keep up with the latest AI news, but also to quickly spark creative ideas. Through the process, I’ll casually share a few of my thoughts:
1️⃣ Perfectly solves the challenge of gathering AI info across platforms
Following my method, you can directly pull hot AI news from all the platforms you want right inside Codex. The best part? Codex has built-in automated push notifications, so you can set up daily reports to arrive right on time.
One Codex to catch all the first-hand AI news—how awesome is that?
2️⃣ Sparks creative inspiration
From the gathered news, Codex can directly suggest creative directions or even full ideas, which is a total win for anyone aiming to become an AI KOL.
And all this is thanks to Alsa—Alsa lets your agent one-click access APIs from every platform. So damn cool.
Sign up now and get $1 in credits—go for it!!!!!
🔗:
Similar Articles
@Scobleizer: I prompt my AI at https://alignednews.com/ai It reads 30,000 posts a day. But the AI I use makes all models, including …
Robert Scoble claims the AI service at Aligned News, which ingests 30,000 posts a day, improves all models with better memory and fewer hallucinations, and notes that its creator Blev Labs recently received funding. The post also quotes a reply discussing whether AI can learn to evoke human emotions via brain sensors.
@NotSoEasyMoney: I like that these AI products are just seeing what companies who are glorified “ai wrappers” are doing && just saying “…
A user comments on how AI products are copying features from so-called 'AI wrapper' companies, referencing OpenAI's announcement that Codex can now build interactive websites and apps with Sites.
@eng_khairallah1: Eric Schmidt (ex-Google CEO): “if you really want to make money, it’s actually easy. found an agentic AI company.” If I…
A tweet thread by @eng_khairallah1 compiles resources on building agentic AI companies, including Claude Code tutorials, LangChain's recent product announcements (Interrupt, Labs, Engine, SmithDB), and educational prompts.
@oragnes: Want to build a high-quality AI information feed? Start with these 15 accounts! These 15 accounts cover: Research, Engineering, Education, Open Source, Products, AGI Thinking, Real AI Capability Evaluation @karpathy His tweets often define the LLM narrative ahead of time. Many AI topics you see on LinkedIn two months later, he might have already discussed them.
This article recommends 15 Twitter accounts worth following in the AI field, covering research, engineering, education, open source, products, AGI thinking, etc., to help readers build a high-quality AI information stream.
@dair_ai: https://x.com/dair_ai/status/2045883132419645456
A tweet or social media post from DAIR AI (Data and AI Research) account. Without access to the actual content of the tweet, the importance cannot be fully determined.