PH热榜 | 2026-06-06

Google just handed publishers and creators a dedicated space inside Search they actually own.

Search Profiles is a claimable page on Google Search where creators and publishers can set their identity, link their platforms, and let people follow them directly into Discover.

For years, your presence on Search was whatever Google inferred about you. No control, no input, no direct audience relationship. Search Profiles changes that: you claim it, you populate it, and every person who taps Follow is routed into your Discover feed on the Google app.

🔗 Claim a profile with avatar, bio, website and platform links, so your audience always finds the real you on Search

📰 Surface your latest articles, videos and social posts in one consolidated place, cutting through the noise of scattered results

👥 Convert a search query into a following relationship, building recurring reach through Discover without relying on the algorithm alone

Built for digital publishers, independent journalists, and creators with an existing following on at least one major platform. US-only at launch.

If you create content and care about how you show up on Google, claim your profile now!

P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

I understand that maybe this is a way for content creators to get more shine...but SHEESH regular people getting pushed down lower with this one.

As someone who's been publishing across a few podcasts and blogs for years, "one place to highlight your work on Search" really lands, so much of what creators make just ends up scattered. Curious how it handles work that lives across different platforms (audio, writing, etc.) Does it pull everything into one profile automatically, or do you connect each source by hand?

Interesting , but google had something very similar right called People Card . Whats the diff ?

Sad that it's US-only and 100k+ followers only (or more for some platforms) but this looks super neat. Hopefully they expand to other regions soon

Interesting

This is a smart move by Google for content creators. I run a YouTube channel on financial modeling (@Mod3Loop — https://www.youtube.com/@Mod3Loop) and visibility on Search has always been fragmented. Having a claimable profile that links directly to your platforms and feeds Discover could make a real difference for niche creators who don't have millions of subscribers but do have highly engaged audiences. Curious whether Google will eventually open this to non-US creators — financial modeling is a global audience.

@rohanrecommends Chaubey Manus + Shopify c’est combo dangereux 🔥

Question bête : Le connector il gère bien les variants + stock en temps réel ?

Je fais du SEO pour des boutiques Shopify et le sync stock c’est toujours le point qui casse.

T’as testé sur des shops avec +1000 SKU ?

Running a Shopify store still means living across too many tabs.

Manus's Shopify connector brings storefront building, catalog management, and campaign generation into a single chat, with Shopify staying in the background handling checkout, payments, and fulfillment.

The problem is coordination cost. Every task, adding products, briefing a campaign, reading sales data, lives in a different tool. Manus connects directly to your Shopify store via API and handles the operational layer on top, so the same conversation where you build the store is where you run it.

Here is what it covers:

🏗️ Tell Manus what you sell and it builds your storefront from scratch, branding, navigation, product pages, and a working cart routed to Shopify checkout, without replacing your existing theme

📦 Drop in a supplier spreadsheet and product photos and it writes listings, matches images to SKUs, drafts descriptions in your brand voice, and sorts collections automatically

📊 Ask about slow movers or top performers and Manus reads your live order data to surface the answer, then uses it to brief campaigns grounded in real numbers

📣 Connect email, social, or ad accounts and it takes campaigns all the way to channel, copy, creatives, promo codes, and scheduling in one thread

P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

Curious about the planning layer here. When a user says "launch a summer campaign," does Manus build one long plan upfront and execute, or does it interleave plan, execute, replan after each tool call? The first is cheaper but brittle when Shopify's API returns something unexpected. The second handles drift better but burns tokens. Which side did you fall on, and how did you decide?

The catalog part feels really practical. Product photos, SKUs, descriptions and collections usually become messy fast for small stores. Can merchants review everything before Manus publishes changes to Shopify?

The single-chat Shopify flow is interesting because a lot of new store builders don't fail at "writing product copy" in isolation — they fail at keeping the whole store coherent: product titles, collections, images, campaign briefs, and what the landing page is actually promising.

What I'd love to see is how Manus handles consistency across those pieces. For example, if I change the positioning of a product, does it update the collection copy, ad brief, and homepage messaging together, or does it treat each output as a separate task?

Congrats on the launch — this feels useful if the agent can reduce that messy first-store setup loop without taking control away from the merchant.

The coordination cost problem is real, every Shopify task lives in a different tool and you end up context switching all day

the supplier spreadsheet to listings flow is the one that stands out to me, that alone saves hours.

One question though, how does it handle product updates at scale? if you have 500 SKUs and need to update pricing or descriptions across all of them, is that one conversation or does it get messy?

Sounds like a great product! Doing it all in one thread while Shopify keeps handling checkout and fulfilment in the background is a great efficiency and mental bandwidth unlock. The supplier-spreadsheet-to-listings flow is the bit that looks to make that super powerful. I have a question - when Manus drafts descriptions "in your brand voice," how does it learn that voice? From your existing listings, a few examples you give it, or something you configure up front?

So how does it work? Your provide a MCP to interact with Shopify and a frontend? I'm interested
Congrats for the launch!

Really like the "upload spreadsheet → auto catalog" flow. One question: is there a dry-run

or draft mode so we can review what the AI plans to change before it touches live products?

That'd be a game-changer for peace of mind.

the single-chat interface for store ops is the right call, the tab-switching tax on shopify is real. curious how you handle the review step before changes go live, thats usually where these manage-from-chat tools either earn trust or lose it. congrats on the launch.

The single chat idea makes sense here. Shopify work gets messy fast when products, collections, copy and campaigns all live in diff places. Does Manus create everything as drafts for review first or can it publish changes directly to the store?

MAI-Image-2.5 is Microsoft AI's new image generation and editing model, now ranked No. 2 on Arena's image-edit leaderboard and No. 3 for text-to-image as of June 1, 2026.

Most image models treat editing as regeneration swap one thing, risk breaking everything else. MAI-Image-2.5 approaches it differently: localized edits that understand scene context, so changing a background, replacing text, or adding an object doesn't degrade what you didn't touch.

🖼 Text-to-image generation with stronger prompt adherence and text rendering so your prompts produce what you actually described, not an interpretation of it

✂️ Localized edits across objects, backgrounds, and text without affecting the surrounding image

🧑 Face and identity consistency preserved across pose, expression, and viewpoint changes useful for product, portrait, and commercial workflows

⚡ MAI-Image-2.5-Flash for high-throughput, cost-sensitive pipelines at roughly half the output token cost

Built for developers and ML teams embedding image generation or editing into production apps where controllability, identity handling, and cost-performance tradeoffs all matter.

Try it in the MAI Playground or access it via Azure Foundry and OpenRouter today.

P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

Looks impressive, congrats on the launch! I have a question: can I feed it a reference image and have it reproduce or closely match that image, rather than just editing parts of an existing one? Trying to understand whether the identity preservation works from a supplied reference, or only within an image I'm already editing.

Text rendering is the thing I check first with any new image model - most still mangle anything past a short headline. How does MAI-Image-2.5 handle multi-line text in non-Latin scripts, or is the benchmark mostly English?

The "precise scene control" angle is what caught my eye. I make all my own brand graphics, and the hard part is never one good image, it's keeping a set consistent. Does the scene control help hold style and layout steady image-to-image, or is it more about nailing a single composition?

The localized edit approach is what actually matters here, most models treat the whole image as fair game when you change one thing and you end up regenerating half the scene the identity preservation across pose changes is the interesting one for product and commercial workflows, that's where consistency usually breaks.

One question though, how does it handle complex prompts with multiple simultaneous edits? does it prioritize or does everything run in parallel?

Swapping just the title text on cover art without breaking the rest is exactly what I need as a musician. Does it hold up on stylized typography, or mostly cleaner layouts?

This is a smart combination of two concepts. Finding the right spot on the keyboard layout while being under time pressure. As other posters mentioned muscle memory, do you provide QWERTZ as well?

My fingers know where every key is but my brain can't picture the layout at all — same thing as playing an instrument. Do the drops have sound cues? That's half of how muscle memory works for me.

I like how honest the launch post is about the difficulty. That’s exactly the kind of thing that’s hard to judge when you’ve played your own game too many times. Curious to try it and see where I hit the wall. If level 8 is the QWERTYS master test, I already know I’m probably in trouble.

Finally, a game that turns my typing mistakes into a gameplay mechanic

This looks simple in a dangerous way. I feel like knowing the keyboard layout and actually placing the keys under pressure are two diff skills. Are you tuning the difficulty based on player drop off points?

Are you planning different keyboard layouts too, like AZERTY or mobile keyboards?

the interesting design tension here is that most people have muscle memory for where keys are but not necessarily conscious knowledge of the layout. you might know where the A is without being able to picture the keyboard abstractly. curious whether people who type faster actually perform better at this or whether the spatial reasoning required is different enough from typing that it doesn't transfer. have you noticed any pattern in your playtesters

Hey Product Hunt! 👋 As someone who loves to game, this one's personal. 😄

For years, Discord, Rust, Twitch, and Reddit have been among some of our most popular apps, so we knew it was time to go bigger.

Today we're introducing a brand new stack of gaming services on IFTTT: Destiny 2, Diablo III, Hearthstone, World of Warcraft, StarCraft II, Dota 2, Team Fortress 2, Steam, and Stoat. Connect your favorite games to Telegram, Slack, Google Sheets, and more. You can even set up custom mobile notifications or get a phone call so you never miss an in-game moment.

We'd love to keep building for the gaming community. What other games or gaming services would you like to see on IFTTT next? Drop them in the comments! 🎮

This would be lots of fun for Discord communities. Any chance you’ll add Twitch triggers too, like auto post when someone goes live or hits a milestone?

Steam achievements to Discord notification flow is the one most people will actually use but the interesting design question is latency. Steam achievement data isn't always real time and there can be meaningful delays between when you earn something and when it shows up via API. for social sharing that delay matters because the moment has passed by the time the notification fires. curious what the typical lag looks like on the Steam integration

Mobile navigation is easy to underestimate but it really affects how quickly people find products. Can store owners customize the menu style fully or does Navi+ mostly use preset layouts?

AI menu design done in seconds claim is interesting but navigation architecture is one of those things where AI suggestions can look reasonable and be wrong for the specific store's catalog and customer behavior. a menu structure that works for a 20 product store is different from one that works for a 2000 product store with complex collections. how does the AI account for the store's actual catalog structure when generating the menu or is it more of a visual design suggestion than an information architecture one

Congrats on the launch! The version/milestone-first framing is refreshing — most trackers treat releases as an afterthought bolted onto an endless backlog, and for solo devs "what ships in the next version" is really the only question that matters. Also love that it's self-contained and local-first in the Apple ecosystem. Curious: how do you handle quick capture when a bug or idea hits you away from the desk — is there a fast path to get it into Fox from iPhone without breaking flow?

For me, this is a very real problem -there are plenty of tasks, but no clear understanding of what will be finished and when!

the 'nothing is left behind' promise is the hardest one to deliver on in issue tracking. most tools surface what's in the system but can't help with what you forgot to put in the system in the first place. curious whether Fox has any mechanism for catching things that should be in a release but aren't, like a checklist pattern or a release readiness check, or whether it's purely organizing what you've already decided to track

Good one today. Most trackers are a flat pile of tickets you slowly lose track of, so organizing the whole thing around versions and milestones is a genuinely different bet? An LLM reading my project is fine. An LLM closing issues and shoving milestones around is probably a write I'd want to see before it lands. Does the agent's action go straight through or is there a confirm step sitting between intent and your backlog?

Genuinely impressed by how practical this is. Not a flashy demo, an actual thing I'd use!

Interesting! every wearable wants to be the dashboard and none of them want to just hand you the data. Do you pre-aggregate or summarize before it hits the context window?

Hi @tom_tms

Thank you for developing Freddy.

I have connected it with Polar but it does not fetch heart rate zones...just as a side comment.

Thanks

Rron

Health data into MCP is a great idea for personal insights without another dashboard. Which wearables do you support first, like Oura and Whoop, and do you store the data or just fetch on demand?

The problem here is real and the execution looks SHARP. Excited to see where this goes!

Most tools in this space overcomplicate things. This one nails the basics and actually feels useful day to day.

Single MCP URL for everything is such a good call. Indie iOS dev here so I have to ask — any plan for Apple Health / Apple Watch? I know there's no cloud API, just curious if a companion app is on the roadmap.

Hey PH! 👋

Landing Page Roast is a fun experiment from Shuffle that started as a way to help our users get more value from their landing pages - and learn our platform along the way.

Simply enter your website URL and AI will analyze your landing page, then deliver a detailed roast focused on what actually matters: improving conversions. You'll get actionable feedback on messaging, design, trust signals, CTAs, user experience, and more.

It's free to try.

You can share the findings with your team, use them as a checklist for improvements, or take things a step further and receive four AI-generated redesign concepts (editable in Shuffle) based on the roast recommendations. It's a quick way to uncover blind spots and explore new ideas without spending hours on audits or design reviews.

Whether you're a founder, marketer, designer, or developer, we'd love to hear what your landing page gets roasted for. 😃

Give it a try, and let us know what you think!

Great tool — structured feedback loops are underrated. One thing I'd add from my experience teaching Excel for Financial Modelling on Udemy (https://www.udemy.com/course/exc...): the same issues that make a landing page fail also sink financial models — too much information, no clear hierarchy, the key message buried three scrolls deep. In both cases, the person consuming it (investor or visitor) makes a snap judgment in the first 5 seconds. A 'model roast' tool built on the same principle would actually be very useful in finance.

Copy and design are subjective - where people actually click is harder to argue with. Does the roast pull from any behavioral data, or is it working purely from what it can see on the page? Congrats on the launch!

Good work, Ejentum team !

We’ve seen a lot of AI code review setups fail in a very human-looking way: they sound thoughtful, they mention a few obvious risks, and then they still approve the thing that deserved a harder look.

That is why I like the harness approach here. It adds structure before the model starts “reviewing,” so the agent is pushed to check reasoning quality, implementation details, and framing issues separately instead of blending everything into one polite answer.

We tried this pattern in Heym with an adversarial code review workflow, and it made the review feel much less like generic LLM commentary and much more like a disciplined review process.

Example template: https://heym.run/templates/adversarial-code-review

Really happy to see this launch. The category needs more work like this.

Congrats to the Ejentum team on the launch.

We’ve been working with Ejentum as a partner at Heym, and this is one of the harder problems in real AI automation: keeping agents from drifting, flattering the user, or fabricating while a multi-step workflow keeps moving.

What I like about Ejentum is that the harness is not just another prompt layer. It gives agents a more disciplined reasoning posture before they act, with concrete failure modes to avoid and checks to pass.

We’ve tested this inside Heym workflows and templates, and the feedback has been genuinely strong. The Blind Eval Trio template is a good example of the pattern in practice: three cross-lab agents evaluate a decision independently, each with a different Ejentum harness, then the user integrates the raw perspectives instead of trusting one smoothed-out answer.

Template: https://heym.run/templates/blind-eval-trio
Repo: https://github.com/ejentum/agent-teams

Big congrats to the team. This is a serious contribution to making agentic workflows more reliable.

Congrats on launching a decent product. 'No stack trace for that' is the line that lands! I was wondering - how do you verify the op actually ran versus the model just acknowledging it?

HUNTGO coupon is working and giving away 3 months of GO plan. Go and grab the api and give your agents the reasoning performance they need for their goals

This caught my attention because I've experienced versions of this while learning automation and AI workflows.

There have been times where I've had to stop, challenge the direction, clarify the objective, and drill down further before getting to the answer I was actually looking for.

That's why the idea of shaping the reasoning process before the answer is interesting to me.

Looking forward to seeing how it develops.

Congrats on the launch, this looks really nice. I'm a long-time Obsidian user, so I'm curious how you think about the two. What does Hermes do differently for someone who's already happy in Obsidian, or is it aimed at a different kind of user?

Hey PH 👋 Daniel here.

There's no application code in this repo. It's one markdown file — a spec for a design-review app.

You paste that file into your coding agent and it builds the whole app from it: Figma-style pin comments on rendered HTML designs, threads, reactions, live presence, and an API so AI reviewers can comment alongside you. It deploys to your own accounts, with your own keys. You end up with your own live instance, not ours.

It's not a template or a boilerplate. There's nothing to fork. The agent builds from the spec and adapts to whatever machine it's running on.

My bet is that when code is cheap to generate, the spec becomes the asset. The format underneath (SEED) is plain open markdown — no runtime, no SDK, nobody owns it. And your agent shows you every command before it runs anything.

Want to try it? Grab SEED.md from github.com/plow-pbc/almanac-seed, paste it into your coding agent — Claude Code, Codex, whatever you use — and tell it to hydrate the seed: build the app it specifies. Then tell me where it breaks. That's how the spec gets better. And if you write a seed of your own, I want to see it.

— Daniel

Hi everyone, I'm Alex. I built Paige during our daughter's first week, when my wife and I were tracking feeds and nappies on scraps of paper with no sleep.

There's no shortage of baby trackers, but I didn't want to hand months of detailed records about my newborn to a company whose business model I couldn't see. So I made something for the two of us instead, and it quickly became the thing our household ran on, so I tidied it up to share.

It's a feed timer with a breast-side reminder, nappy tracking (with the counts UK midwives go by in the first month), pumping, weight, milestones, and a shared timeline with a "while you were away" summary so whoever comes back on duty can catch up without a debrief.

The bit I care most about is tha there are no accounts, I don't collect your email, and everything you enter is end-to-end encrypted, so your data stays yours.

It's pay what you can, including free, with all features available for all users. It felt wrong to gate a thing for exhausted parents behind a subscription.

It's new and it's just me, so I'd really value your feedback, especially from anyone who's been in the newborn fog recently. Happy to answer anything.

I love it! Good thing you made it completely private.

I'm wondering: how do you share your data with your SO? Do you plan to have a cloud with encrypted data? Or a selfhosted cloud?

Hey Product Hunt Community 👋

I'm Max, founder of Webstorio

Webstorio started from a frustration I kept experiencing while building websites for clients and products over the years.

Every new project looked different on the surface, but behind the scenes?
Same auth system. Same CMS. Same dashboard. Same backend setup. Same deployment flow.

We kept rebuilding the same things again and again just to create a different story and design.

So we asked ourselves:

"What if building a website feels more like turning features on and off, instead of rebuilding the plumbing every time?"

That's how Webstorio was born.

What's the difference between Webstorio and other AI web builders?

We focus on maintainability.

Other AI builders generate a full codebase, including things that non-technical people don't care about. That means users become fully dependent on the AI for backend development, admin dashboard development, security, and codebase management.

Webstorio is built different. We handle all the technical aspects, including the database, backend, authentication, payments, security, deployment, hosting, and more. This allows users to focus on delivering their story, content, brand, and visuals.

If you've ever felt that building a website was the easy part and maintaining it was the hard part, Webstorio is built for you.

Our goal is simple:
Make launching and maintaining a professional website ridiculously easier.

Landing page? Company profile? Online Store? Event page?
You shouldn't need 10 tools and weeks of setup just to launch and maintain.

We would genuinely love your feedback 🙌

Thanks! 💙💚

Behind Pinguva is a dedicated team of DevOps engineers ready to assist with your infrastructure, deployment, system administration, and daily operational challenges. We don't just alert you when something goes down—we have the real-world engineering expertise to help you architect, scale, and maintain a resilient environment. It’s like having a world-class DevOps team in your corner from day one.

Hey Product Hunt 👋

My name is Eugene Vasenev, I am the Co-founder & Lead Developer.

OmegaGPT started as a quiet form of protest.

For years, big corporations learned everything about us through social networks. Now AI has pushed this even further - not just tracking our behavior, but capturing our thoughts, doubts, fears, and inner conversations. All of it processed, stored, and monetized somewhere in the cloud.

We didn’t want to accept that as the default future.

OmegaGPT is built to run fully offline, on your own device. No accounts. No servers. No data leaving your phone. Your thoughts stay yours.

But this is not only about privacy. It’s also about access.

Most AI tools are designed for people with stable internet, high incomes, and lives in well-connected cities. Millions of people are left behind because of geography, infrastructure, or cost. Our mission is to make AI assistance available to those groups too - regardless of location, income, or connectivity.

OmegaGPT is free during early access. In a few months, we’ll introduce a very small subscription ($0.1–$1/month) purely to sustain development - no ads, no data selling, no manipulation.

This is our vision of a more human AI future:
private, accessible, and owned by the user.

Try it on iOS:

https://apps.apple.com/us/app/omegagpt-private-ai-chat/id6751235569

And Android:

https://play.google.com/store/apps/details?id=com.argeneration.privategpt

I’d truly love your thoughts and feedback. They will shape where OmegaGPT goes next. 🚀