George Amit | AI tools and Content Creator

Tech and AI enthusiast & content creator 🤖| Sharing ChatGPT prompts & freelance tips 💡 | Learn how to earn money with Crypto & AI 💰 |

[George Amit | AI tools and Content Creator @Amitxai]

Technical SEO audits cost $2,200 and take 2 weeks.

I just found a free AI tool that runs one in 90 seconds, crawls your entire site, flags every broken link, missing meta tag, and Core Web Vital issue.

Here's the exact setup I use.
↓

[George Amit | AI tools and Content Creator @Amitxai]

@sohmehta Hi could you please check your inbox?

[George Amit | AI tools and Content Creator @Amitxai]

If you've actually built with AI APIs, you know the model is only half the problem.

GPU availability, inference speed, reliability, and scaling become real issues pretty quickly.

GMI Cloud's $668M raise is interesting from that perspective.

@gmi_cloud @alex_yehya

[GMI Cloud @gmi_cloud]

Announcing our $668M Series B!

Led by ARCHIV with participation from @nvidia.

This capital expands our GPU capacity across the U.S., Taiwan, and APAC, and scales our inference platform.

Our contracted ARR has reached more than 9x since the end of 2025.

Thanks to everyone who is building with us 🙏

[George Amit | AI tools and Content Creator @Amitxai]

We’ve spent years setting up local dev environments.

Install this.
Configure that.
Fix the database.
Share the secrets.
Then pray everything matches.

Base Code flips the workflow:

Repo → Cloud environment → Live preview.

No setup drift. Less friction. More time actually building.

Try it: https://t.co/u1SOQ1dYiX

[Maor Shlomo @MaorShlomo]

Today we’re introducing Base Code.

It’s an early preview of how we think software will be built in the future.

It’s a product that encapsulates everything we’ve learnt from:

- How our users are building software.

- How we’re building internally, scaling to hundreds of millions of dollars in revenue while keeping our engineering team very small and focused.

Here are some of the principles behind it, which align with how we at @Base44 think about the future of software engineering:

Cloud:

- Software will move past local desktop environments (where current tools are widely used) and move to the cloud.

- Moving everything to the cloud is not easy. Setting up dev environments with databases, infra components, services, mock data, etc. is easier said than done.

- Base Code first scans your code repo and sets up everything - every infra component (databases, Redis, etc.) - in the cloud. It runs nonstop until your preview environment is ready.

- From an enterprise standpoint, it’s also the logical thing to do: a centralized, governed dev environment instead of handing out keys and secrets to all team members.

- Once Base Code does that, EVERY team member can work in this environment. No more syncing local environments.

Internally, this (cloud) is one of the main things that enabled us to move so fast.

Collaboration:

- Once everything is in the cloud, everybody can write software from anywhere (any browser, your phone, WhatsApp / iMessage coming soon).

- You can easily see what everyone is working on, where they’re at, and how they’re prompting - and jump to their environment in one click.

- We’ve built many great collaboration features from the ground up.

Loops, automations, software factories:

- A full, working cloud environment allows for many advanced capabilities we will unveil soon-think agents running in the browser and testing on every device and in any browser.

- It also allows the use of automations to build software factories-e.g., agents reading support tickets, identifying bugs to fix or features to develop, implementing the changes, verifying them in the cloud, and potentially pushing them.

And lastly, there’s a real advantage in being model agnostic.

--------------

As always, we’re releasing it very early. It’s far from perfect-but we’re looking for early feedback so we can build it together with our great community and make this vision a reality.

*We’re giving it away for free for 30 days*.

Give Base Code a try. Connect any GitHub repo, get your live preview, and share it with your team.

I’d love to hear what works and what doesn’t:
https://t.co/doJHDxkRf8

[George Amit | AI tools and Content Creator @Amitxai]

@MaorShlomo The shared cloud environment is the standout for me. It eliminates local setup drift and saves a ton of time.

[George Amit | AI tools and Content Creator @Amitxai]

ok the $1 AI Cloud Ops (Associate) cert is not a typo. did the flow, took minutes, credential in hand. small thing but it says a lot about who the program is for. free to join

[Nebius @nebiusai]

The Nebius AI Builder Program is now available.
AI isn’t just a model you call anymore. It’s a system you build. And builders, not a few closed labs, will decide what it becomes.

The open ecosystem has all the pieces. We want to make it easier to put them together and start building.

The program is free, with $400+ in credits and discounts, working code and cookbooks, office hours with engineers, and a community to build with.

We’re joined by @NVIDIAAI, @LangChain, @huggingface, @cognition, @OpenHandsDev, @tavilyai, @TolokaAI, @composio, @PrimeIntellect, @MiniMax_AI, @Alibaba_Qwen, and more joining soon.

Join with the link in the comments 👇

[George Amit | AI tools and Content Creator @Amitxai]

Stop manually wiring your event pipelines. Let your AI agent do it.

Jitsu MCP gives Claude, Cursor, and VS Code direct control over your event pipeline—from routing and testing to debugging and fixing.

Open-source. MIT licensed. 🚀

[Soham Mehta @sohmehta]

Today we're launching Jitsu MCP.

This is an MCP server that lets your agent run your entire event pipeline directly in Claude Code, Claude Desktop, Cursor, or VS Code.

Here's how it works:

Add the server:

claude mcp add --transport http jitsu https://t.co/7tGdjtrpdI

Run this prompt:

"Route my web stream into ClickHouse, but only purchase and signup events. Send a test event, check Live Events, and if anything errors, find the function in the path and fix it."

Approve the OAuth prompt once, and all 26 tools are live

Your agent wires the streams, watches Live Events, and rewrites a function when one of them throws. It runs the fix against a real event before shipping it, so nothing is persisted until it works.

Every change lands in the audit log tagged mcp, so you can tell what the agent did from what a person did.

It's all MIT licensed, and it runs against your own deployment.

Jitsu is one of the fastest growing open-source CDPs with 5,000+ GitHub stars. Capturing events is unlimited and free, and delivery is free up to 200k events a month.

Comment Jitsu and I'll DM you the exact prompts I run in Claude Code to build an event pipeline end to end.

[George Amit | AI tools and Content Creator @Amitxai]

Your product is generating valuable data.

Why give up control of it? 👀

Jitsu lets you collect, own & control your event data — open-source, self-hosted, and built for modern data stacks.

Your data. Your rules. 🚀

https://t.co/lBz8p7Ayey

[Soham Mehta @sohmehta]

Introducing Jitsu, the open source event data pipeline.

Every signup, click and payment in your product is an event. Most companies ship those off to a vendor and pay by the event to read them back.

We run the same job on your own infrastructure. One script tag to collect, one workspace to route, and a provisioned ClickHouse on the other side. Or send everything to Snowflake, BigQuery, Redshift, Postgres, MySQL.

Capturing events is unlimited and free. We only charge for events we deliver to a destination.

Need to change an event on its way through? Write a function in the workspace and we run it on everything in flight.

MIT licensed, so the whole thing is yours to read, change and run.

200k delivered events a month, free.

https://t.co/N5f6huOu5f

[George Amit | AI tools and Content Creator @Amitxai]

@sohmehta This is a game-changer for teams that want full control over their data without compromising flexibility. 🚀

[George Amit | AI tools and Content Creator @Amitxai]

Your product is generating valuable data.

Why give up control of it? 👀

Jitsu lets you collect, own & control your event data — open-source, self-hosted, and built for modern data stacks.

Your data. Your rules. 🚀

https://t.co/lBz8p7Ayey

[Soham Mehta @sohmehta]

Introducing Jitsu, the open source event data pipeline.

Every signup, click and payment in your product is an event. Most companies ship those off to a vendor and pay by the event to read them back.

We run the same job on your own infrastructure. One script tag to collect, one workspace to route, and a provisioned ClickHouse on the other side. Or send everything to Snowflake, BigQuery, Redshift, Postgres, MySQL.

Capturing events is unlimited and free. We only charge for events we deliver to a destination.

Need to change an event on its way through? Write a function in the workspace and we run it on everything in flight.

MIT licensed, so the whole thing is yours to read, change and run.

200k delivered events a month, free.

https://t.co/N5f6huOu5f

[George Amit | AI tools and Content Creator @Amitxai]

@ringg_ai Congratulations 🥳

[George Amit | AI tools and Content Creator @Amitxai]

An AI agent remembering what you prefer and acting on it is infinitely more useful than one giving you another list of instructions.

@ringg_ai has raised a $15M Series A to scale agents built around outcomes.

[Ringg AI @ringg_ai]

Our first office had two seats.
On a good day, we made 100 calls.

Today, Ringg handles more than 500,000 calls a day - which is basically 5,000 of our old "good days" happening every single day.

We were forced to look closely at every detail and build the stack ourselves: speech models, orchestration, calling infrastructure - the works.

Partly because what we needed didn’t exist.
Partly because our team genuinely loved it enough to spend days and nights making it exist.

We also quickly realised that solving problems, collecting payments, booking appointments and helping customers needed much more than conversations.
It needed action.

And so we changed the playbook, from voice agents that talk to AI agents that deliver outcomes.

Today, we’re announcing Ringg AI’s $15 million Series A, led by @peakxvpartners , with participation from Arkam Ventures and Capital 2B.

We thank our early adopters for betting on us when 100 calls still felt like a big day.

We are immensely proud of our team, who turned "this should be possible" into "it’s live", none of this would have been possible without that grit.

We have a feature-packed roadmap and quite a few ceilings left to break and with this fuel, it’s only going to get more fun.

This is just the start 🚀🚀🚀

@sid_sst @the__UT @kali_charan_v

[George Amit | AI tools and Content Creator @Amitxai]

I needed a simple content-idea tracker for a side project.

The annoying part wasn’t the idea. It was everything around it: setup, auth, database wiring, UI, and fixing tiny bugs.

So I described the workflow to @Base44 and watched it turn the idea into a working tool. Not perfect, but much faster than starting from an empty repo.

It made me wonder: how many useful MVPs never get built because the setup feels heavier than the idea?

Would you trust vibe-coded software for something real?

[George Amit | AI tools and Content Creator @Amitxai]

🚨 POWER BI LEARNERS — THIS IS FOR YOU

I made a 10-page handwritten Power BI cheat sheet 📝

Power Query ✅
DAX ✅
Data Modeling ✅
Measures ✅
Time Intelligence ✅
Visuals ✅
Interview Questions ✅

🎁 Giving it away FREE.

Like + Repost + comment “POWER BI” 🔥

[George Amit | AI tools and Content Creator @Amitxai]

Generating a beautiful clip is one thing. Being able to revise one specific detail without restarting the entire process is what makes a tool practical.

That is one of the most useful parts of Seedance 2.5.

Enterprise users and developers will soon be able to call the API on BytePlus.

[BytePlus @BytePlusGlobal]

Dreamina Seedance 2.5 is now live!

From creators to enterprises, a new era of AI video creation begins.

Try Seedance 2.5 on Dreamina today. Enterprise API access via BytePlus is coming soon.

Create longer videos with greater control:
- Native 30-second generation
- Precise video editing
- Support for up to 50 multimodal references
- Multilingual video generation

More consistency. More control. More possibilities.

[Rajesh Kumar @therjrajesh]

Everyone thought slide generation was the hard part.

It wasn't.

The real challenge was making AI-generated presentations editable.

And we may have just reached a turning point.

[George Amit | AI tools and Content Creator @Amitxai]

Handoff just launched H1, the first AI model for autonomous blueprint takeoffs.

It turns a residential blueprint set into a material takeoff, then carries that same project data into the estimate so the contractor can price the work and walk the customer through it.

That’s what makes the workflow worth watching. It connects the technical work behind the project to the conversation that helps sell it.

@HandoffAI

Watch the 30-second demo:

#sponsored

[George Amit | AI tools and Content Creator @Amitxai]

Handoff just launched H1, the first AI model for autonomous blueprint takeoffs.

It turns a residential blueprint set into a material takeoff, then carries that same project data into the estimate so the contractor can price the work and walk the customer through it.

That’s what makes the workflow worth watching. It connects the technical work behind the project to the conversation that helps sell it.

@HandoffAI

Watch the 30-second demo:

#sponsored

[Handoff - AI Assistant for Construction @HandoffAI]

You’ve seen H1 complete the takeoff. Here’s what happens next.

The same project data moves directly into the estimate, giving contractors a faster path from residential plans to clear pricing and scope, as well as a customer-ready conversation without entering the job again in another tool.

That’s the bigger shift. H1 doesn’t just finish the takeoff. It keeps the project moving toward a signed job.

📲 Follow @handoffai for practical construction AI updates

🎥 Watch the full workflow in action:

[George Amit | AI tools and Content Creator @Amitxai]

@HandoffAI This is how you win jobs faster; taking blueprint data straight to client-ready pricing.