Stop joking. The production quality of these videos is roughly at the level of Chinese model companies back in January, and not even the top-tier ones at that. Following the release of Seedance 2.5 and MiniMax H3 at the end of July, the overall production quality has taken a massive leap forward. Just recently, China's first AI anime series is officially landing on a well-known TV channel in their country for broadcast. Anyone interested can go have a look.
Semrush charges $139.95/month.
Ahrefs charges $129/month.
A guy named Ben built the open-source alternative that you can run on your computer.
It is called OpenSEO.
Enter a competitor's website and it reveals the keywords bringing them traffic, the pages winning those searches, and the backlinks helping them rank.
And enter your own site and it tracks rankings, crawls technical problems, reads Search Console, and shows whether ChatGPT or Google AI Overviews mention your brand.
Then connect Claude or Codex.
Your agent can pull the real numbers, compare opportunities, cluster keywords, and save a strategy back into the dashboard instead of guessing from a prompt.
The hosted version starts at $10 a month. The entire codebase is MIT licensed, so you can also self-host it and pay DataForSEO directly for only the data you use.
No, it does not magically reproduce every database and advanced feature Ahrefs built over a decade.
But it breaks the most important rule of the old SEO market:
You no longer need their permission to own the tool.
https://t.co/WU9wr98RNo
@jacekdziwisz Exactly. With local LLMs, the model has to fit before speed even matters. 512GB of unified memory turns the M5 Ultra into a very quiet server under your desk — minus the mini power plant 😅
Full disclosure: I built a small Mac/model fit checker:
https://t.co/Eb2X7urpQE
こういう「Mac mini Air」枠、確かに欲しいですね😄 ただ、安いMacほど「何ができるか」より「何をしないか」を先に決めないと、後からメモリ不足が一番高い買い物になりそうです。用途から「買う・待つ・維持」を考える無料ツールも作っています(英語・自作、Appleとは無関係):https://t.co/lDklAiu6C9
Please note that this post may be misleading. Five Macminis wired together might look like they would get a massive boost in computing power, but in reality, whatever you can run on five Macminis is mostly just open-source small models, and their overall performance falls well short of Anthropic's Claude running the latest Fiber 5 model.
@MacRumors A discount is great—unless it locks you into too little unified memory 😅 For local LLMs, model size, quantization, context and runtime matter more than the chip name. I built a free planner (independent, not affiliated with Apple): https://t.co/NcCWblPFG6