Very happy to announce we just released a support chat SDK built for React Native. It's an amazing improvement since it has been a community package for year now. (we can never say thank you enough to Walter Holohan for building it back in the days).
The new SDK is built from scratch, on the modern Expo Modules architecture instead of the old bridges. It's cleaner, way more maintainable, and fully aligned with how Expo works today.
The SDK is built with Expo Modules but that doesn't mean it only works with Expo. It works with both Expo and bare React Native projects. Expo Modules is just the underlying tech we chose to bridge native code, it's not tied to the Expo framework itself. So whether you're on Expo or plain React Native, you're good go to go!
Looking for a better chat support experience for your mobile apps? Get started with Crisp Support Chat SDK today!
Needless to say it's 100% implemented with Hugo, allowing you to bring AI-powered support to your mobile app customers.

Onwards

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

Why We Built It

Most automation workflows can call a model, but still need substantial glue code for memory, personalization, and structured data. The Mnexium connector makes those capabilities native in n8n.

npm install n8n-nodes-mnexium

Hey everyone!

Ujjwal here, solo dev behind BrainLoom.

20 days ago, I launched here with a Windows-only MVP. The feedback was incredible (we hit #2 Product of the Day!), but the #1 request was: "When is it coming to Mac and Linux?"

I took the revenue from that launch, bought a Mac Mini, and coded non-stop.

you read a word. you highlight it. maybe you even google its meaning.

two days later? gone.

Before I started Ting, I did the classic founder things...

Read every Paul Graham essay.
Listened to Masters of Scale.
Obsessed over founder stories.

As usual, Y Combinator came up with segments that are worth investing:

1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

Today we re shipping Prompt Tags!

Last month, Tailwind CSS fired 75% of their engineering team.

Revenue dropped 80%. Doc traffic down 40%.

Meanwhile, Tailwind is more popular than ever.

New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.

Curious what the community recommends for coding tasks? Any preferences?

We just released a production ready RAG project-template for Bult.ai.

If you want to deploy a serious Retrieval Augmented Generation system, not a toy demo, this is for you.

This post is actually inspired by a tweet from @sandradjajic + an update here on PH from @chrismessina.

A few days ago I saw this:

Source.

Once upon a time, developing for Apple was an exciting, rewarding challenge. But lately, that relationship has soured.

Apple has transformed into a trillion-dollar giant that sees developers not as partners, but as a resource to control, extract from, and when convenient ignore.

Greetings followers of ClawCognition and OpenClaw,

I want to provide a transparent Product Hunt update.

Last year we hired a design agency to build our marketing site for @Basedash. They did an incredible job. The headline makes it sound like I'm dunking on them, but I'm not. The site was genuinely great. They built it in Framer so we could manage content ourselves, which was a completely reasonable bet at the time (and something we explicitly asked for).

First of all, I want to thank you for voting for us in yesterday's launch - you still can, the week is not over. HERE

Second thing, I summarised some things that I realised, reflected on, and maybe should have known sooner:

After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.

We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

We re making three frontier open-source models free* on Zo until the end of February. GLM-5, Kimi K2.5, and MiniMax M2.5 are now free to use on Zo. And we ve increased the AI usage limits on our free plan significantly.

We re incredibly excited about recent progress in open-source models. Three labs dropped big releases just weeks apart, ahead of the highly anticipated DeepSeek R2. These open models are quickly catching up to closed models like ChatGPT and Claude, which are much more expensive.

Hot take on AI: The best AI tools will be invisible.

I used to think the best tools were the ones that had lots of features.

But making a tool disappear is more powerful than building endless features.

We re officially in nominees season for the Orbit Awards: AI Workflow Automation.

This is something I ll find out in just a short while, one week from now (Jan 28), as I m about to re-launch a digital detox app. If you want, follow, maybe you will be on watch of my steps and activities

However, that s not the main point of this post.

Linear just launched a new linear.app - a new source of inspiration? WDYT?