Product Hunt is best known for its homepage, a daily leaderboard of the most creative and innovative products on the internet. Makers go all out to win launch day, because that visibility matters. Product Hunt also plays a significant role in how products appear in Google search results.

What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations.

We're entering an era where AI assistants are everywhere. But there's a problem: your context, research, and insights are still locked inside individual platforms.

AI Context Flow changes that.

Now you can capture information from ANY website and instantly use it across ChatGPT, Claude, Grok, Gemini, Perplexity (or any of 30+ AI models in our memory studio). If AI is truly your second brain, it should follow you everywhere you go.

Here's how it works:
Create topic-specific buckets (from the extension or Memory Studio)
Highlight and save text from any webpage directly to your AI memory
Access that context instantly across all major AI platforms

I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.

Now I m launching @Curatora next week.

I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.

That makes me wonder: how much of success here is strategy, and how much is timing and network effect?

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.

I know you don't like reading so here's TL;DR:

• Free usage even for un-signed users

• Even more usage when user signs up (still free, no credit card info required)

• Copy response button copy analysis results to clipboard in one click

• Added new native mode to detect AI slop

• TL;DR merged into Summary one streamlined mode instead of two

• Create Custom modes from Toolbar no need to open the popup

• Mode history indicators see which modes you've already used (colored dots) and instantly restore prior results (in Toolbar)

• Reliable toolbar on SPA navigation toolbar now appears when navigating Reddit links without needing a page refresh

Hi guys,
One of the most requested things from our early users was the voice dictation feature, so we added it, and it's blazingly fast.
Update your apps, and now we support in-app updates, so you won't have to manually do any updates.
Announcement post is here: https://x.com/vkpdeveloper/statu...

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:

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

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?

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

A few days ago I saw this:

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:

Source.

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:

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.

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.

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

Revenue dropped 80%. Doc traffic down 40%.

Meanwhile, Tailwind is more popular than ever.

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.

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

Hey DaysAround fam

While building tools for nomads and travelers, I kept running into the same friction:

messy currency math and scattered expenses.

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).

Real talk I can vibe-code a feature in hours but spend days figuring out what users are actually complaining about.

  No system. Bugs in DMs. Feedback in emails. Screenshots in random Slack threads.

We ve just shipped OpenClaw support on VibePocket.

OpenClaw is a self-hosted AI agent gateway you can control from chat apps like Telegram (and more). Normally it requires a bunch of setup steps, but with VibePocket, we ve made it simple.

Greetings all!
little bit of a delay with letting you know about the most recent update V1.8 (released on 10/2/26): there has been a few notable additions such as the TileMap mode move tool and there is also now a randomized fill tool for when you have more than tile selected in multi select mode on the tilemap pallete allowing you to quickly create irregular designs where required.
There has also been a new addition of an optional touch based gesture: three finger tap to reset pan. i noticed when i was working on larger maps it could sometimes take a while to get back to the origin position and regain your grounding.
There has also been a new app icon - partially to better represent the apps design abilities showing a top down and 2D perspective within the same image (see below)

Future update plans:
While i continue to battle getting the app seen, i try not to lose spirit with continued development and i have been thinking about allowing the user to choose if they want to use iCloud to sync their project from iPad to desktop allowing a truly seamless workflow from on the go, to the desk
That will be all from me until the next time, thanks for reading! :)

As pointed out by The Roundup, the inference space is booming right now.

Last week, @Baseten raised $300M at $5B valuation. They just announced the acquihire of @Inferless to "accelerate innovation in inference infrastructure."

Today we re open-sourcing the core memory engine behind @Mnexium AI: CORE-MNX.

GItHub